Books and Chapters

Posted on July 10, 2013 by mlg

SORTED BY YEAR: 2015 2014 2012 2011 2010

2015

Yonghong Tian, Mei-Ling Shyu, and Atsuo Yoshitaka, ed. Proceedings of 2015 IEEE International Conf. Multimedia Big Data, IEEE, 20-22 April 2015. (EI20153701270895)

2014

Jia Li, Wen Gao, Visual Saliency Computing: A Machine Learning Perspective, Springer, 2014.

2012

Shui Yu, Simon James, Yonghong Tian and Wanchun Dou, Reliable Aggregation on Network Traffic for Web Based Knowledge Discovery, Book Chapter in Reliable Knowledge Discovery, Springer, 149-159, 2012.

2011

Wen Gao, Yonghong Tian, Lingyu Duan, Jia Li, and Yuanning Li, Video Scene Analysis: A Machine Learning Perspective, Book Chapter in Video Segmentation and Its Applications, , Springer, 87-116, 2011.

2010

Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao. Semantic Image Classification and Annotation. Book Chapter in Semantic Mining Technologies for Multimedia Databases (Edited by Tao, Xu, and Li), IGI Global, 2009, 384-412.
Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao. Content-Based Video Semantic Analysis. Book Chapter in Semantic Mining Technologies for Multimedia Databases (Edited by Tao, Xu, and Li), IGI Global, 2009, 234-258.

International Conferences

Posted on July 10, 2013 by mlg

SORTED BY YEAR:

2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001

2023

Yangru Huang, Peixi Peng^*, Yifan Zhao, Yunpeng Zhai, Haoran Xu and Yonghong Tian^*, Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).
Yunpeng Zhai, Peixi Peng^*, Yifan Zhao, Yangru Huang and Yonghong Tian^*, Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).
Dongkai Wang, Shiliang Zhang^*, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao, HumVis: Human-Centric Visual Analysis System, 31th ACM Int’l Conf. Multimedia, October 29-November 3, 2023, Ottawa, ON, Canada.
Wenrui Li, Xi-Le Zhao, Zhengyu Ma^*, Xingtao Wang, Xiaopeng Fan^*, Yonghong Tian, Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning, 31th ACM Int’l Conf. Multimedia, October 29-November 3, 2023, Ottawa, ON, Canada.
Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian, LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization, 31th ACM Int’l Conf. Multimedia, October 29-November 3, 2023, Ottawa, ON, Canada.
Jianyang Zhai, Xiawu Zheng, Changdong Wang, Hui Li, Yonghong Tian, Knowledge Prompt-tuning for Sequential Recommendation, 31th ACM Int’l Conf. Multimedia, October 29-November 3, 2023, Ottawa, ON, Canada.
Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian, Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models, 31th ACM Int’l Conf. Multimedia, October 29-November 3, 2023, Ottawa, ON, Canada.
Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian^*, Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Xiawu Zheng, Yonghong Tian^*, A Unified Framework of Soft Threshold Pruning, The Eleventh International Conference on Learning Representations, May 2023.
Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan^*, Spikformer: When Spiking Neural Network Meets Transformer, The Eleventh International Conference on Learning Representations, May 2023.
Liwei Huang, Zhengyu Ma^*, Liutao Yu, Huihui Zhou, Yonghong Tian^*, Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse, the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, Feb 7-14, 2023. ORAL

2022

Yangru Huang, Peixi Peng^*, Yonghong Tian^*, Spectrum Random Masking for Generalization in Image-based Reinforcement Learning, Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, USA, Nov. 28 2022~Dec. 9, 2022. SpotLight
Yatian Pang, Wenxiao Wang, Francis Tay, Wei Liu, Yonghong Tian, Li Yuan^*, Masked Autoencoders for Point Cloud Self-supervised Learning, 17^th European Conference on Computer Vision 2022, LNCS 13662, 604–621, Tel Aviv, Israel, October 23–27, 2022.
Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian^*, State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks, Proc. International Conference on Machine Learning, 2022.
Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian^*, Retinomorphic Object Detection in Asynchronous Visual Streams, Proceedings of AAAI2022, ORAL
Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian*, Event-based Video Reconstruction via Potential-assisted Spiking Neural Network, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji, Neural Architecture Search with Representation Mutual Information, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). ORAL
Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji, IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji, Training-free Transformer Architecture Search, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian, Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian, Fine-Grained Object Classification via Self-Supervised Pose Alignment, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Yixuan Wang, Jianing Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian^*, Learning stereo depth estimation with bio-inspired spike cameras, IEEE International Conference on Multimedia and Expo 2022, 2022.
Xijie Xiang, Jianing Li, Lin Zhu, Yonghong Tian^*, Tiejun Huang, Temporal Up-sampling for Asynchronous Events, IEEE International Conference on Multimedia and Expo 2022, 2022.

2021

Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu, Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark, Proc. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang, High-speed Image Reconstruction through Short-term Plasticity for Spiking Cameras, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian^*, Pruning of Deep Spiking Neural Networks through Gradient Rewiring, the 30th International Joint Conference on Artificial Intelligence (IJCAI-21).
Jianhao Ding, Zhaofei Yu, Yonghong Tian^*, Tiejun Huang, Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks, the 30th International Joint Conference on Artificial Intelligence (IJCAI-21).
Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen, Learnable Oriented-Derivative Network for Polyp Segmentation, 24th International Conference Medical Image Computing and Computer Assisted Interventions, 2021.
Daxin Gu, Jia Li^*, Yu Zhang^*, Yonghong Tian, How to Learn a Domain-Adaptive Event Simulator? 29th ACM Int’l Conf. Multimedia.
Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian^*, José M. F. Moura, Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition, 29th ACM Int’l Conf. Multimedia.
Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian^*, Kurt Keutzer, José M. F. Moura, Annotation-Efficient Untrimmed Video Action Recognition, 29th ACM Int’l Conf. Multimedia.
Zhaodong Kang, Jianing Li, Lin Zhu, Yonghong Tian^*, Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing, 29th ACM Int’l Conf. Multimedia.
Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang and Yonghong Tian^*, NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang and Yonghong Tian^*, Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Jiajian Zhao, Yifan Zhao, Jia Li^*, Ke Yan and Yonghong Tian, Heterogeneous Relational Complement for Vehicle Re-identification, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Guangyao Chen, Peixi Peng^*, Li Ma, Jia Li, Lin Du and Yonghong Tian^*, Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji^*, ReCU: Reviving the Dead Weights in Binary Neural Networks, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu and Yonghong Tian, PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks, IEEE Winter Conference on Applications of Computer Vision (WACV 2021), 2021.
Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang and Yonghong Tian^*, Reducing Image Compression Artifacts for Deep Neural Networks, 2021 Data Compression Conf.
Ivan Bajic, Weisi Lin, Yonghong Tian, Collaborative Intelligence: Challenges and Opportunities, Int’l Conf. Acoustics, Speech, & Signal Processing (ICASSP), 2021.
Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian^*, Allocating DNN Layers Computation Between Front-End Devices and the Cloud Server for Video Big Data Processing, Proc. Int’l Conf. Acoustics, Speech, & Signal Processing (ICASSP), 2021.

2020

Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian^*, Towards Accurate Low Bit-width Quantization with Multiple Phase Adaptations, Proc. 31th AAAI Conf., 2020.
Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian^*, Retina-like Visual Image Reconstruction via Spiking Neural Model, Proc. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). ORAL. Introduction
Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian^*, AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification, Proc. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian, Channel Pruning via Automatic Structure Search, Intl Joint Conf. Artificial Intelligence., 673-679.
Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao, HRank: Filter Pruning using High-Rank Feature Map, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). ORAL
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian, Rethinking Performance Estimation in Neural Architecture Search, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Zhongyi Huang, Yao Ding, GuoliSong, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen, BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting, 23th International Conference Medical Image Computing and Computer Assisted Interventions, 2020, 289-298.
Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian^*, Learning Open Set Network with Discriminative Reciprocal Points, 14th European Conf. Computer Vision, 2020, 507-522. Spotlight
Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian^*, Multiple Expert Brainstorming for Domain Adaptive Person Re-identification, 14th European Conf. Computer Vision, 2020, 594–611.
Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian^*, Masked Face Recognition with Latent Part Detection, 28th ACM Int’l Conf. Multimedia, Oct 2020, 2281–2289.
Zeyuan Wang, Yifan Zhao, Jia Li^*, Yonghong Tian, Cooperative Bi-path Metric for Few-shot Learning, 28th ACM Int’l Conf. Multimedia, Oct 2020, 1524–1532.
Peixi Peng, Yonghong Tian^*, Yangru Huang, Xiangqian Wang, Huilong An, Discriminative Spatial Feature Learning for Person Re-Identification, 28th ACM Int’l Conf. Multimedia, Oct 2020, 274–283. ORAL
Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian^*, Yaowei Wang, José M. F. Moura, Compositional Few-Shot Recognition with Primitive Discovery and Enhancing, 28th ACM Int’l Conf. Multimedia, Oct 2020, 274–283. ORAL
Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian^*, Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking, Proc. 28th ACM Int’l Conf. Multimedia, Oct 2020, 2246–2254.
Xin Wang, Wenwu Zhu, Yonghong Tian, Wen Gao, Multimedia Intelligence: When Multimedia Meets Artificial Intelligence, 28th ACM Int’l Conf. Multimedia, Oct 2020, 4775–4776.
Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian, Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition, IEEE Winter Conference on Applications of Computer Vision (WACV 2020), 2020, 575-583.
Peiyin Xing, Peixi Peng^*, Yongsheng Liang, Tiejun Huang, Yonghong Tian^*, Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition, 2019 Data Compression Conf., 572-572.
Quan Zhang, Yemin Shi, Lechun Zhang, Yaowei Wang, Yonghong Tian^*, Learning Compact Networks via Similarity-Aware Channel Pruning, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 145-148.
Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang, Anonymous Model Pruning for Compressing Deep Neural Networks, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 157-160.
Lihui Su, YaoWei Wang, Yonghong Tian, R-SiamNet: ROI-Align Pooling Baesd Siamese Network for Object Tracking, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 19-24.
Peiyin Xing, Yaowei Wang, Peixi Peng^*, Yonghong Tian^*, Tiejun Huang, End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020, 233-236
Zhaoyi Yan, Peiyin Xing, Yaowei Wang, Yonghong Tian, Prune it Yourself: Automated Pruning by Multiple Level Sensitivity, 2020 IEEE Conf. Multimedia Information Processing and Retrieval (MIPR), 2020

2019

Daoyuan Xu, Peiyin Xing, Yaowei Wang, Yonghong Tian^* Efficient and Fast Coefficient Sign Inference for Video Coding , 2019 Data Compression Conference (DCC), 2019
Zongxian Li, Sheng Li, Lantian Xue, Yonghong Tian^*. Semi-Siamese Network for Content-based Video Relevance Prediction, 2019 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2019: 1-5
Yiqian Chang, Yemin Shi, Yaowei Wang, Yonghong Tian^*, “Bi-directional Re-ranking for Person Re-identification”. In: IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR). San Jose, CA, USA: MIPR, 2019.
Siwei Dong ; Lin Zhu ; Daoyuan Xu ;Yonghong Tian^*; Tiejun Huang”An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals.” 2019 Data Compression Conference (DCC). IEEE, 2019.
Yihua Fu ; Jianing Li ; Siwei Dong ;Yonghong Tian^*; Tiejun Huang, Peking University. “Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor.” 2019 Data Compression Conference (DCC). IEEE, 2019.
Lin Zhu, Siwei Dong, Teijun Huang, Yonghong Tian^*. A Retiana-inspired Sampling Method for Visual Texture Reconstruction. ICME 2019
Jianing Li, Siwei Dong, Zhaofei Yu,Teijun Huang, Yonghong Tian^*. Event-based vision enhanced: a joint detection framework based neuromorphic camera. ICME 2019
Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian^*, Tiejun Huang, Yaowei Wang. Transductive Episodic-wise Adaptive Metric for Few-Shot Learning. Accepted in ICCV, 2019.
Bing He, Jia Li^*, Yifan Zhao and Yonghong Tian, Part-regularized Near-Duplicate Vehicle Re-identification, IEEE Conf. Computer Vision and Pattern Recognition, 2019.
Yifan Zhao, Jia Li^*, Yu Zhang^*, Yonghong Tian, Multi-class Part Parsing with Joint Boundary-Semantic Awareness, International Conf. Computer Vision, 2019.
Jinming Su, Jia Li^*, Yu Zhang, Changqun Xia and Yonghong Tian^*, Selectivity or Invariance: Boundary-aware Salient Object Detection, International Conf. Computer Vision, 2019.
Yafei Song, Yonghong Tian, Gang Wang and Mingyang Li, 2D LiDAR Map Prediction via Estimating Motion Flow with GRU, 2019 IEEE Int‘l Conf. Robotics and Automation (ICRA), 2019.
Yafei Song, Di Zhu, Jia Li, Yonghong Tian and Mingyang Li, Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019).

2018

Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, Yonghong Tian^*, Cross-domain adversarial feature learning for sketch re-identification Proceedings of the 26th ACM international conference on Multimedia, 2018
Chong Zhang, Zongxian Li, Qiong Liu, Yonghong Tian^*, Wei Zeng, Yaowei Wang, Wenbai Chen, Toward Efficient Simultaneous Detection and Segmentation IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018
Haoran Chen, Yaowei Wang, Yemin Shi, Ke Yan, Mengyue Geng, Yonghong Tian^*, Tao Xiang, Deep transfer learning for person re-identification IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018
Zongxian Li, Yemin Shi, Yonghong Tian^*, Wei Zeng, Yaowei Wang SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization , ICME, 2018
Yu Shu, Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian^*, ODN: Opening the Deep Network for Open-Set Action Recognition ICME, 2018
Yixiong Zou, Yemin Shi, Yaowei Wang, Yu Shu, Qingsheng Yuan, Yonghong Tian^*, Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition ICME, 2018
Yemin Shi, Yonghong Tian^*, Tiejun Huang, Yaowei Wang, Temporal Attentive Network for Action Recognition ICME, 2018
Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian^*, Greedy hash: towards fast optimization for accurate hash coding in CNN NIPS, 2018
Zhichao Bi, Siwei Dong, Yonghong Tian, Tiejun Huang, Spike Coding for Dynamic Vision Sensors, Data Compression Conference (DCC) 2018, IEEE.

2017

Siwei Dong, Tiejun Huang, Yonghong Tian, Spike Camera and Its Coding Methods, Data Compression Conference (DCC) 2017, IEEE.
Yemin Shi, Yonghong Tian^*, Yaowei Wang, Tiejun Huang, Learning long-term dependencies for action recognition with a biologically-inspired deep network, ICCV 2017.
Ke Yan, Yonghong Tian^*, Yaowei Wang, Wei Zeng, Tiejun Huang, Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles, ICCV 2017.
Yumei Zhang, Yaowei Wang, Siwei Dong, Yonghong Tian, Peiyin Xing, Improved Advanced Motion Vector Prediction for Surveillance Video Coding, IEEE Int’l Conf. Acoustics, Speech and Signal Processing, ICASSP, New Orleans, USA, Mar.2017
Romain Vial, Hongyuan Zhu, Yonghong Tian, Shijian Lu, Search Video Action Proposal with Recurrent and Static YOLO, IEEE Int’l Conf. Image Processing, Sep. 2017.
Dawei Liang, Ke Yan, Wei Zeng, Yaowei Wang, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian^*, Deep Hashing with Mixed Supervised Losses for Image Search, 2017 IEEE Conference on Multimedia & Expo Workshop, Jul 2017, 507-512. (EI 20174304289059)
Jiaying Yan, Yonghong Tian^*, Yaowei Wang, Siwei Dong, Tiejun Huang, A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC, 2017 IEEE Conference on Multimedia & Expo Workshop, Jul 2017, 157 – 162. (EI 20174304288969)
Dawei Liang, Ke Yan, Yaowei Wang, Wei Zeng, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian^*, Deep Hashing with Multi-Task Learning for Large-Scale Instance-Level Vehicle Search. 2017 IEEE Conference on Multimedia & Expo Workshop, Jul 2017, 192-197. (EI 20174304289060)
Shu Fang, Yang Yue, Liuyuan He, Kai Du^*, Yonghong Tian^*, Tiejun Huang^*, Image Saliency Analysis based on Retina Simulation, IEEE Int’l Conf. Multimedia Big Data (BigMM 2017), Apr 20176, Taipei, Taiwan, China, 142-145. (EI 20173404069845)
Mengyue Geng, Yaowei Wang, Tao Xiang, Yonghong Tian, Deep Transfer Learning for Person Re-identification, https://arxiv.org/abs/1611.05244, Jul 2017.
Qiantong Xu, Ke Yan, Yonghong Tian, Learning a Repression Network for Precise Vehicle Search, https://arxiv.org/abs/1708.02386, Aug 2017.

2016

Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian*, Unsupervised Cross-Dataset Transfer Learning for Person Re-identification, Proc. IEEE Conf. Computer Vision and Pattern Recognition, Las Vegas, NV, USA, Jun, 2016.
Hongye Liu, Yonghong Tian*, Yaowei Wang*, Lu Pang, Tiejun Huang, Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles, Proc. IEEE Conf. Computer Vision and Pattern Recognition, Las Vegas, NV, USA, Jun, 2016.(dataset, project)
Peixi Peng, Yonghong Tian*, Yaowei Wang*, Tao Xiang, Tiejun Huang, Joint learning of Semantic and Latent Attributes, Proc. 14th European Conference on Computer Vision, Amsterdam, The Netherlands, 8 – 16 October 2016.
Lin Ding, Yonghong Tian*, Hongfei Fan, Yaowei Wang, Tiejun Huang, High-efficiency Coding for Shaking Surveillance Videos Based on Global Motion Compensation, Proc. IEEE Int’l Conf. Multimedia Big Data (BigMM 2016), Apr 2016, Taipei, Taiwan, China.
Mengyue Geng, Yaowei Wang*, Yonghong Tian*, Tiejun Huang, High-efficiency Coding for Shaking Surveillance Videos Based on Global Motion Compensation, CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning, Apr 2016, Taipei, Taiwan, China.
Ke Yan, Yaowei Wang*, Dawei Liang, Tiejun Huang, Yonghong Tian*, CNN vs. SIFT for Image Retrieval: Alternative or Complementary?, Proc. ACM International Conference on Multimedia, Amsterdam, The Netherlands, 15 – 19 October 2016.

2015

Lan Wei, Yonghong Tian*, Yaowei Wang, Tiejun Huan, Swiss-System Based Cascade Ranking for Gait-based Person Re-identification, 29th AAAI Conference on Artificial Intelligence, January 25 –30, 2015, Austin, Texas USA, 1882-1888.
Zhengying Chen, Yonghong Tian^*, Wei Zeng and Tiejun Huang, Detecting Abnormal Behaviors in Surveillance Videos Based on Fuzzy Clustering and Multiple Auto-Encoders, Proc. Int’l Conf. Multimedia and Expo (ICME 2015), Torino, Italy.
Yemin Shi, Wei Zeng, Tiejun Huang, Yaowei Wang∗, Learning Deep Trajectory Descriptor for Action Recognition in Videos using Deep Neural Networks, Proc. Int’l Conf. Multimedia and Expo (ICME 2015), Torino, Italy.
Jilong Zheng, Yaowei Wang, Wei Zeng, and Yonghong Tian, CNN Based Vehicle Counting with Virtual Coil in Traffic Surveillance Video, Proc. IEEE Int’l Conf. Multimedia Big Data (BigMM 2015), Apr 2015, Beijing, China, 280-281.
Yaowei Wang, Yonghong Tian^*, Limin Su, Xiaoyu Fang, Ziwei Xia, and Tiejun Huang, Detecting Rare Actions and Events from Surveillance Big Data with Bag of Dynamic Trajectories, Proc. IEEE Int’l Conf. Multimedia Big Data (BigMM 2015), Apr 2015, Beijing, China, 128-135.
Siwei Dong, Yonghong Tian, Tiejun Huang, Performance Evaluation for AVS2 Scene Video Coding Techniques, Proc. IEEE Int’l Conf. Multimedia Big Data (BigMM 2015), Apr 2015, Beijing, China, 411-414.
Shaoge Guo, Yaowei Wang, Yonghong Tian, Peiyin Xing, Wen Gao, Quality-Progressive Coding for High Bit-Rate Background Frames on Surveillance Videos, Proc. IEEE Int’l Symposium on Circuits and Systems (ISCAS), Lisbon, 2015, 2764 – 2767.

2014

Zhengying Chen, Tingting Jiang, Yonghong Tian*, Quality Assessment for Comparing Image Enhancement Algorithms, Proc. 2014 IEEE Int’l Conf. Computer Vision and Pattern Recognition, Columbus, United States, June 2014.
Lan Wei, Yonghong Tian*, Yaowei Wang, Tiejun Huan, Multi-View Gait Recognition with Incomplete Training Data, IEEE Conf. Multimedia and Expo, Chengdu, China, July, 2014.
Long Zhao, Yonghong Tian*, Tiejun Huang, Background-Foreground Division Based Search for Motion Estimation in Surveillance Video Coding, Proc. IEEE Conf. Multimedia and Expo, Chengdu, China, July, 2014.
Mengren Qian, Luntian Mou, Jia Li, and Yonghong Tian*, Video Picture-in-Picture Detection using Spatio-Temporal Slicing. Proc. ICME’2014 Workshop on Emerg. Multimedia Sys. and Appl., Chengdu, China, 2014.
Hongye Liu, Taiyin Zhao, Yaowei Wang, Yonghong Tian, A Refined Object Detection Method Based on HTM, Proc. 2014 IEEE Int’l Conf. Visual Communication and Image Processing, Nov 2014.

2013

Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang, A Coding Unit Classification Based AVC-to-HEVC Transcoding with Background Modeling for Surveillance Videos, Proc. 2013 IEEE Int’l Conf. Visual Communication and Image Processing, Kuching, Malaysia, Nov 2013.
Jiaqiu Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wavelet Based Smoke Detection Method with RGB Constrast-Image and Shape Constraint, Proc. 2013 IEEE Int’l Conf. Visual Communication and Image Processing, Kuching, Malaysia, Nov 2013.
Haocheng Wen, Yonghong Tian, Tiejun Huang, Wen Gao, Single Underwater Image Enhancement with an Improved Optical Model, Proc. IEEE Int’l Symposium on Circuits and Systems (ISCAS), 2013.
Chaoran Gu, Luantian Mou, Yonghong Tian, Tiejun Huang, MPLBOOST-BASED MIXTURE MODEL FOR EFFECTIVE HUMAN DETECTION WITH DEFORMABLE PART MODEL, Proc. 2013 IEEE Int’l Conf. Multimedia and Expo.
Xiaoyu Fang, Yonghong Tian Yaowei Wang, Chi Su, Teng Xu, Ziwei Xia, Peixi Peng, Wen Gao, PAIR-WISE EVENT DETECTION USING CUBIC FEATURES AND SEQUENCE DISCRIMINANT LEARNING, Proc. 2013 IEEE Int’l Conf. Multimedia and Expo.
Long Zhao, Xianguo Zhang, Yonghong Tian, Ronggang Wang, Tiejun Huang, A BACKGROUND PROPORTION ADAPTIVE LAGRANGE MULTIPLIER SELECTION METHOD FOR SURVEILLANCE VIDEO ON HIGH EFFICIENT VIDEO CODING (HEVC) , Proc. 2013 IEEE Int’l Conf. Multimedia and Expo.
Xiaoyu Fang, Ziwei Xia, Chi Su, Teng Xu, Yonghong Tian, Yaowei Wang, Tiejun Huang, A SYSTEM BASED ON SEQUENCE LEARNING FOR EVENT DETECTION IN SURVEILLANCE VIDEO, Proc. 2013 IEEE Int’l Conf. Image Processing.
Lingxi Lu, Yonghong Tian, Tiejun Huang, Xihong Wu, Wen Gao, Liang Li, Imagery of a Face Enhances Event-Related Potentials to Ambiguous Visual Stimuli, Proc. Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting, May 2013

2012

Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang, Multi-camera Pedestrian Detection with a Multi-view Bayesian Network Model, Proc. 2012 British Machine Vision Conf., paper 69, pp. 1-12, Guildford, UK, 2012.
Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang, Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments, Proc. 2012 IEEE Ninth Int’l Conf. Advanced Video and Signal-Based Surveillance, pp. 494-499, Beijing, China, Sep 2012.
Mingchao Geng, Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video, Proc. 2012 IEEE Int’l Conf. Multimedia and Expo, pp. 61-67, Melbourne, Australia, Jul 2012.
Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, Wen Gao, Macro-Block-Level Selective Background Difference Coding for Surveillance Video, Proc. 2012 IEEE Int’l Conf. Multimedia and Expo, pp. 1067-1072, Melbourne, Australia, Jul 2012.
Wei Chen, Xianguo Zhang, Yonghong Tian, Tiejun Huang, An Efficient Surveillance Coding Method Based on a Timely and Bit-saving Background Updating Model, Proc. 2012 IEEE Int’l Conf. Visual Communication and Image Processing, San Jose, Nov 2012.
Xianguo Zhang, Yonghong Tian, Tiejun Huang, Wen Gao, Low-complexity and High-efficiency Background Modeling for Surveillance Video Coding, Proc. 2012 IEEE Int’l Conf. Visual Communication and Image Processing, San Jose, Nov 2012, 1-6.
Ziwei Xia, Xiaoyu Fang, Yaowei Wang, Wei Zeng, Hongming Zhang, Yonghong Tian, PKU-NEC @ TRECVid 2012 SED: Uneven-Sequence Based Event Detection in Surveillance Video, Online Proc. TRECvid Workshop, Nov. 2012.
Lan Wei, Yonghong Tian, Yaowei Wang, Touradj Ebrahimi, Tiejun Huang, Automatic Webcam-based Human Heart Rate Measurements Using Laplacian Eigenmap, Proc. 11th Asian Conf. Computer Vision, Daejeon, Korean, Nov, 2012, 281-292.
Shumin Han, Xianguo Zhang, Yonghong Tian, Tiejun Huang, An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured By Moving Camera, Proc. 2012 IEEE Ninth Int’l Conf. Advanced Video and Signal-Based Surveillance, Beijing, China, Sep 18 2012, 160-165.
Menglin Jiang, Yonghong Tian, Tiejun Huang, Video Copy Detection Using a Soft Cascade of Multimodal Features, Proc. 2012 IEEE Int’l Conf. Multimedia and Expo, Melbourne, Australia, 374-379, 2012.
Luntian Mou, Xilin Chen, Yonghong Tian, Tiejun Huang. Robust and Discriminative Image Authentication Based on Standard Model Feature, Proc. 2012 IEEE Int’l Symposium on Circuit & System, Seoul, Korea, 1131-1134, 2012.

2011

Yonghong Tian, Menglin Jiang, Luntian Mou, Xiaoyu Fang, Tiejun Huang. A Multimodal Video Copy Detection Approach with Sequential Pyramid Matching, Proc. IEEE Int’l Conf. Image Processing (ICIP 2011), Brussels, Belgium, Sep. 2011, 3690-3693.
Yonghong Tian, Tiejun Huang, Wen Gao. iULib: where UDL and Wikipedia could meet? Proc. SPIE, Imaging and Printing in a Web 2.0 World II. Vol. 7879, 2011,78790G-78790G-9.
Zhipeng Hu, Yaowei Wang, Yonghong Tian, Tiejun Huang. Selective Eigenbackgrounds Method For Background Subtraction In Crowded Scenes, Proc. IEEE Int’l Conf. Image Processing (ICIP 2011), Brussels, Belgium, Sep. 2011, 3338-3341.
Amogh Mahapatra, Xin Wan, Yonghong Tian, and Jaideep Srivastava. Augmenting Image Processing with Social Tag Mining for Landmark Recognition. Proc. 17th Int’l Multimedia Modeling Conf., MMM 2011, Jan 5-6, 2011, Taiwan, China, 273-283.
Luntian Mou, Tiejun Huang, Yonghong Tian, Shiguo Lian, Xilin Chen. Robust and Discriminative Image Authentication Based on Sparse Coding. Proc. 7^th IEEE Int’l Workshop Digital Rights Management Impact on Consumer Communications in conjunction with 2011 IEEE Consumer Communications and Networking Conf., Las Vegas, NV, USA, 2011, 323-326.
Menglin Jiang, Shu Fang, Yonghong Tian, Tiejun Huang, Wen Gao. PKU-IDM @ TRECVID 2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching. Online Proc. 2011 TRECVID Workshop, Gaithersburg, MD, USA, Dec 5-8, 2011.
Xiaoyu Fang, Hongming Zhang, Chi Su, Teng Xu, Feng Wang, Shaopeng Tang, Ziwei Xia, Peixi Peng, Guoyi Liu, Yaowei Wang, Wei Zeng, Yonghong Tian. PKU-NEC @ TRECVID 2011 SED: Sequence-Based Event Detection in Surveillance Video. Online Proc. 2011 TRECVID Workshop, Gaithersburg, MD, USA, Dec 5-8, 2011.

2010

Yuanning Li, Yonghong Tian, Wen Gao. Video Retargeting with Multi-scale Trajectory Optimization. Proc. 11th ACM SIGMM Int’l Conf. Multimedia Information Retrieval, Philadelphia, Pennsylvania, USA, 2010, 45-54.
Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang. Automatic interesting object extraction from images using complementary saliency maps. Proc. ACM Multimedia 2010, 891-894.
Guochen Jia, Yonghong Tian, Yaowei Wang, Tiejun Huang, Min Wang. Dynamic multi-cue tracking with detection responses association. Proc. ACM Multimedia 2010, 1171-1174.
Min Wang, Jia Li, Tiejun Huang, Yonghong Tian, Lingyu Duan, Guochen Jia. Saliency detection based on 2D log-gabor wavelets and center bias. Proc. ACM Multimedia 2010, 979-982.
Kaihua Jiang, Zhipeng Hu, Zhongwei Chen, Guochen Jia, Ten Xu, Qiong Hu, Guangcheng Zhang, Yaowei Wang, Lei Qin, Yonghong Tian, Xihong Wu, Wen Gao. PKU@TRECVID2010: Pair-Wise Event Detection in Surveillance Video. Online Proc. TRECVID 2010 Workshop, Gaithesburg, MD, 2010.
Yuanning Li, Luntian Mou, Chi Su, Xiaoyu Fang, Mengren Qian, Menglin Jiang, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao. PKU@TRECVID2010: Copy Detection with Visual-Audio Feature Fusion and Sequential Pyramid Matching. Online Proc. TRECVID 2010 Workshop, Gaithesburg, MD, 2010.

2009

Jingjing Yang, Yuanning Li, Yonghong Tian, Ningyu Duan, Wen Gao. Group-Sensitive Multiple Kernel Learning for Object Categorization. Proc. 12th IEEE Int’l Conf. Computer Vision, Kyoto, Japan, 2009, 436 – 443.
Yaowei Wang, Yonghong Tian, Lingyu Duan, Zhipeng Hu, and Guochen Jia. ESUR: A SYSTEM FOR EVENTS DETECTION IN SURVEILLANCE VIDEO. Proc. 17th IEEE Int’l Conf. Image Processing, Hongkong, China, 2009, 2317-2320.
Jingjing Yang, Yuanning Li, Yonghong Tian, Ningyu Duan, Wen Gao. Multiple Kernel Active Learning for Image Classification. Proc. IEEE Int’l Conf. Multimedia and Expo, Hilton Cancun, Cancun, Mexico, 2009, 550-553.
Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao. A Dataset and Evaluation Methodology for Visual Saliency in Video. Proc. IEEE Int’l Conf. Multimedia and Expo, Hilton Cancun, Cancun, Mexico, 2009, 442-445.
Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao. A New Multiple Kernel Approach for Visual Concept Learning, Proc. 15th Int’l Multimedia Modeling Conf., MMM 2009, LNCS 5371, Sophia-Antipolis, France, 2009, 250-262.
Rong Yang, Yonghong Tian, Tiejun Huang. DCT-Based Videoprinting on Saliency-Consistent Regions for Detecting Video Copies with Text Insertion. Proc. 10th Pacific Rim Conf. Multimedia, LNCS 5876, 2009, 797-806.
Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao. Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion. Evaluating Systems for Multilingual and Multimodal Information Access – Revised Selected Papers of 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, LNCS 5706, 2009, 763-770.
Zhipeng Hu, Guangnan Ye, Guochen Jia, Xibin Chen, Qiong Hu, Kaihua Jiang, Yaowei Wang, Lei Qing, Yonghong Tian, Xihong Wu, Wen Gao. PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in Surveillance Video, Online Proc. TRECVID 2009 Workshop, Gaithesburg, MD, 2009.

2008

Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao. Multi-polarity text segmentation using graph theory. Proc. 16^th IEEE Int’l Conf. Image Processing, San Diego, CA, 2008, 3008-3011.
Jia Li, Yonghong Tian, Wen Gao. Exploring inter-frame correlation analysis and wavelet-domain modeling for real-time caption detection in streaming video. Proc. SPIE 6822, Visual Communication and Image Processing, (VCIP2008), San Jose, CA, USA. 2008, 68220F-1-12.
Ting Liu, Weiqiang Wang, Yonghong Tian, Tiejun Huang. Exploring the relationships of regions for visual content understanding. Proc. SPIE 6822, Visual Communication and Image Processing, (VCIP2008), San Jose, CA, USA. 2008, 6822G-1-8.
Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao. PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval. Online Proc. ImageCLEF 2008, 2008.

2007

Ting Liu, Yonghong Tian, and Wen Gao. A Two-Phase Spectral Bigraph Co-Clustering Approach for the Who Rated What Task in KDD Cup 2007. Proc. ACM KDDCup.07, San Jose, CA, Aug. 2007, 63-68.
Chong Huang, Yonghong Tian, Zhi Zhou, Tiejun Huang. Towards Multi-granularity Multi-facet E-book Retrieval. Proc. 16th Int’l World Wide Web Conf. (WWW2007), Banff, Alberta, Canada, May 2007, 1331-1332.

2006

Yonghong Tian, Tiejun Huang, Wen Gao. Robust Collective Classification with Contextual Dependency Network Models. Proc. 2nd Int’l Conf. Advanced Data Mining and Applications (ADMA), Aug. 2006, Xi’an, China, LNAI, Springer, 2006, 173-180.
Kai Song, Yonghong Tian, Tiejun Huang, and Wen Gao. Diversifying the Image Retrieval Results. Proc. ACM Multimedia 2006, Santa Barbara, CA, Oct. 2006, 707-710.
Chong Huang, Yonghong Tian, Tiejun Huang, Charles X. Ling, and Zhi Zhou. Extracting Keyphrase using Semantic Network Analysis. Proc.2006 IEEE Int’l Conf. Data Mining, Dec. 2006, 275-284.
Chong Huang, Yonghong Tian, Tiejun Huang, and Wen Gao. Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. Proc. 2nd Int’l Conf. Advanced Data Mining and Applications, LNAI, Springer, Xi’an, China, Aug. 2006, 636-643.
Kai Song, Yonghong Tian, and Tiejun Huang. Improving the Image Retrieval Results via Topic Coverage Map. Proc. 2006 Pacific-Rim Conf. Multimedia, LNCS, Hangzhou, P.R. China: Springer, Nov. 2006, 194-201.

2005

Pingbo Kang, Yonghong Tian, Tiejun Huang, The Design and Implementation of Digital Library Resource Management System Based on Topic Map, Proc. 1st Int’l Conf. Universal Digital Library (ICUDL2005), Hangzhou, China, 2005, 9-14.

2004

Yonghong Tian, Wen Gao, Tie-Jun Huang. Context-Based Classification for Link Data. Proc. Int’l Conf. Web-Based Learning, Beijing, China, LNCS 3143, Springer, Aug. 2004, 233-240.

2003

Yonghong Tian, Tiejun Huang, Wen Gao, Jun Cheng, PingBo Kang, Two-Phase Web Site Classification Based on Hidden Markov Tree Models. Proc. IEEE/WIC Int’l Conf. Web Intelligence (WIC 2003), Halifax, Canada, Oct. 2003, 227- 234.
Yonghong Tian, Tiejun Huang, Wen Gao, A Web Site Mining Algorithm Using the Multiscale Tree Representation Model. Proc. WEBKDD’03 Workshop in conjunction with ACM KDD 2003 Conf., Washington DC, U.S.A, Aug, 2003, 83-92.
Yonghong Tian, Zheng Mei, Tiejun Huang, Wen Gao, Incremental Learning for Interaction Dynamics with the Influence Model. Proc. LINKKDD’03 Workshop in conjunction with ACM KDD 2003 Conf., Washington DC, U.S.A, Aug, 2003.

2002

Yonghong Tian, Tiejun Huang, Wen Gao, Quantitatively Evaluating the Influence of Online Social Interactions in the Digital Library. Proc. IEEE/ACM Joint Conf. Digital Library, Portland, USA, Jul. 2002, 409.

2001

Yonghong Tian, Tiejun Huang, Wen Gao, Algorithms of Integrated student modeling in online virtual educational community. Proc. 2011 Int’l Conf. Infor-Tech & Info-Net, 2001, 214-219.

Journals

Posted on July 9, 2013 by mlg

SORTED BY YEAR:

2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2006 2005 2004 2003 2002 2001

2023

Yichen Zhang, Gan He, Xiaofei Liu , J.J. Johannes Hjort, Alexander Kozlov, Yutao He, Shen-jian Zhang, Lei Ma , Jeanette Kotaleski, Yonghong Tian, Sten Grillner, Tiejun Huang, Kai Du*, A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence, Nature Communications, 14, Article number: 5798 (2023).
Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li*, Yonghong Tian*, SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence, Science Advances. Accepted at 2023.8.31
Zhongrui Zhao, Long Xu^*, Xiaoshuai Zhu, Xinze Zhang, Sixuan Liu, Xin Huang^*, Zhixiang Ren, and Yonghong Tian^*, A Large-Scale Dataset of Three-Dimensional Solar Magnetic Fields Extrapolated by Nonlinear Force-Free Method, Nature Scientific Data, 10, Article number: 178 (2023).
Dianze Li, Jianing Li^*, Yonghong Tian^*, SODFormer: Streaming Object Detection with Transformer Using Events and Frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Jul 21.
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan, MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Jul 11.
Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, and Guoqi Li, Attention Spiking Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Jan 23.
Yifan Zhao, Jia Li^*, Yu Zhang, Yonghong Tian, From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 May 6. 1109/TPAMI.2022.3174529
Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Shen Li, Yonghong Tian, Rongrong Ji^*, 1xN Pattern for Pruning Convolutional Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Jul 30.
Zhiyi Tian, Lei Cui^*, Chenhan Zhang, Shuaishuai Tan, Shui Yu, and Yonghong Tian, The Role of Class Information in Model Inversion Attacks against Image Deep Learning Classifiers, IEEE Transactions on Dependable and Secure Computing, 15 Aug, 2023
Sizhu Han, Huihui Zhou, Yonghong Tian, Yixuan Ku^*, Early top-down control of internal selection induced by retrospective cues in visual working memory: advantage of peripheral over central cues, Progress in Neurobiology, Vol 230, November 2023, 102521.
Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Z. Hu, B. Zheng, Z. Wang, Guoli Song, J. Zhang, J. Fu, X. Huang, Z. Wang, Zhixiang Ren, Q. Wang, D. Li, D. Wei, Bin Zhou^*, Chao Yang^*, Yonghong Tian^*, Running ahead of evolution – AI based simulation for predicting future high-risk SARS-CoV-2 variants, Int’l J. High Perf. Comput. Appl. (ACM Gordon Bell Special Prize Finalist for HPC-Based COVID-19 Research), published online July 29, 2023.
Yunpeng Zhai, Peixi Peng^*, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian^*, Population-Based Evolutionary Gaming for Unsupervised Person Re-identification, International Journal of Computer Vision, 131, pages 1–25 (2023).
Yifan Zhao, Tong Zhang, Jia Li^*, Yonghong Tian, Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 03 May 2023. 10.1109/TPAMI.2023.3272697.
Liwen Zhu, Peixi Peng^*, Zongqing Lu, Yonghong Tian^*, MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control, IEEE Transactions on Knowledge and Data Engineering, Jan 4, 2023.
Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, and Jie Chen, Semi-supervised CT lesion segmentation using uncertainty-based data pairing and SwapMix, IEEE Transactions on Medical Imaging, 42(5), May 2023, 1546-1562.
Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou, Yonghong Tian, A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning under Concept-drift Environment, IEEE Transactions on Knowledge and Data Engineering, 35(7), July 2022, 6561-6574.
Xiao Wang, Xiujun Shu, Shiliang Zhang, Yaowei Wang^*, Yonghong Tian, Feng Wu, MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking, IEEE Transactions on Multimedia, May 11 2022
Tiejun Huang, Yajing Zheng, Zhaofei Yu^*, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian, 1000× Faster Camera and Machine Vision with Ordinary Devices, Engineering, Available online 12 April 2022.
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji^*, Carrying out CNN Channel Pruning in a White Box, IEEE Transactions on Neural Networks and Learning Systems. 14 Feb 2022, 10.1109/TNNLS.2022.3147269
Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji^*, Distilling a Powerful Student Model via Online Knowledge Distillation, IEEE Transactions on Neural Networks and Learning Systems. 07 March 2022, 10.1109/TNNLS.2022.3152732
Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian^*, Ultra-high Temporal Resolution Visual Reconstruction from a Fovea-like Spike Camera via Spiking Neuron Mode IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Jan 12, 45(1), 1233 – 1249. 10.1109/TPAMI.2022.3146140
Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang^*, Nonlinear Transforms in Learned Image Compression from a Communication Perspective, IEEE Transactions on Circuits and Systems for Video Technology, , 33(4), 1922-1936, Apr 2023.
Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tiejun Huang, and Yonghong Tian^*, Asynchronous Spatiotemporal Spike Metric for Event Cameras, IEEE Transactions on Neural Networks and Learning Systems, 34(4), 1742-1753, Apr 2023, 10.1109/TNNLS.2021.3061122
Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian ^*, Picking Up Quantization Steps for Compressed Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, 33(4), 1884-1898, Apr 2023.
Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tiejun Huang^*, Yonghong Tian^*, Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream, IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(1), 16-29.

2022

Tao Wei, Yonghong Tian, Yaowei Wang, Yun Liang, Chang Wen Chen, Optimized separable convolution: Yet another efficient convolution operator, AI Open, Volume 3, 2022, Pages 162-171.
Yijie Zhao, Kendrick N. Kay, Yonghong Tian, Yixuan Ku^*, Sensory recruitment revisited: Ipsilateral V1 involved in visual working memory, Cerebral Cortex, 32(7), 1 April 2022, 1470–1479. doi: 10.1093/cercor/bhab300.
Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian^*, Ultra-high Temporal Resolution Visual Reconstruction from a Fovea-like Spike Camera via Spiking Neuron Mode IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Jan 12. 10.1109/TPAMI.2022.3146140
Yifan Zhao, Jia L^*, Yu Zhang, Yonghong Tian, From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 May 6.1109/TPAMI.2022.3174529
Mingbao Lin, Rongrong Ji^*, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao, Fast Class-wise Updating for Online Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5), May 2022, 2453-2467. 1109/TPAMI.2020.3042193
Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian^*, Adversarial Reciprocal Points Learning for Open Set Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 10.1109/TPAMI.2021.3106743.
Wendong Zheng, Putian Zhao, Gang Chen^*, Huihui Zhou, Yonghong Tian, A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning under Concept-drift Environment, IEEE Transactions on Knowledge and Data Engineering, May 22, 2022.
Xiao Wang, Xiujun Shu, Shiliang Zhang, Yaowei Wang^*, Yonghong Tian, Feng Wu, MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking, IEEE Transactions on Multimedia.
Tiejun Huang, Yajing Zheng, Zhaofei Yu^*, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian, 1000× Faster Camera and Machine Vision with Ordinary Devices, Engineering, Available online 12 April 2022.
Jianing Li, Jia Li^*, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian^*, Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection, IEEE Transactions on Image Processing, 31, Apr 2022, 2975-2987. 10.1109/TIP.2022.3162962
Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tiejun Huang, and Yonghong Tian^*, Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection, IEEE Transactions on Multimedia, 24(5), 2246-2258. 10.1109/TMM.2021.3078141
Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tiejun Huang^*, Yonghong Tian^* Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream, IEEE Transactions on Circuits and Systems for Video Technology
Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tiejun Huang, and Yonghong Tian^*, Asynchronous Spatiotemporal Spike Metric for Event Cameras, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2021.3061122
Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Filter Sketch for Network Pruning, IEEE Transactions on Neural Networks and Learning Systems. 1109/TNNLS.2021.3084206
Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang^*, Yonghong Tian, Feng Wu^*, Tracking by Joint Local and Global Search: A Target-aware Attention based Approach, IEEE Transactions on Neural Networks and Learning Systems. 10.1109/TNNLS.2021.3083933
Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji^*, Carrying out CNN Channel Pruning in a White Box, IEEE Transactions on Neural Networks and Learning Systems.
Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji^*, Distilling a Powerful Student Model via Online Knowledge Distillation, IEEE Transactions on Neural Networks and Learning Systems. 10.1109/TNNLS.2022.3152732
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu^*, Neural System Identification with Spike-triggered Non-negative Matrix Factorization, IEEE Transactions on Cybernetics, 2020 Nov 1. DOI: 10.1109/TCYB.2020.3042513
Lihui Su, Wenyao Wang, Kaiwen Sheng, Xiaofei Liu, Kai Du, Yonghong Tian^* and Lei Ma^*, SNAP-Tracker, a model free deep learning tool for animal behavioral tracking, Frontiers in Behavioral Neuroscience, 6:759943. doi: 10.3389/fnbeh.2022.759943 Mar. 4, 2022.
Qi Yan*, Yajing Zheng*, Shanshan Jia, Yichen Zhang, Zhaofei Yu^*, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu^*, Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Network, IEEE Transactions on Cybernetics, 52(1), Jan 2022, 39-50. 10.1109/TCYB.2020.2972983
朱林，田永鸿*，仿视网膜传感器视觉重建算法研究综述，中国科学信息科学
陈光耀，彭佩玺，田永鸿^*，紧致化神经网络的鲁棒性分析，中国科学：技术科学

2021

Yifan Zhao, Jia Li^*, Xiaowu Chen, Yonghong Tian, Part-guided Relational Transformers for Fine-grained Visual Recognition, IEEE Transactions on Image Processing, Dec. 2021, 30, 9470-9481.
Yifan Zhao, Jia Li^*, Yu Zhang, Yafei Song and Yonghong Tian, Ordinal Multi-task Part Segmentation with Recurrent Prior Generation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(5), May 2021: 1636-1648. doi: 10.1109/TPAMI.2019.2953854.
Yijie Zhao, Kendrick N. Kay, Yonghong Tian, Yixuan Ku*, Sensory recruitment revisited: Ipsilateral V1 involved in visual working memory, Cerebral Cortex
Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tiejun Huang, and Yonghong Tian*, Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection, IEEE Transactions on Multimedia,1109/TMM.2021.3078141
Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tiejun Huang, and Yonghong Tian*, Asynchronous Spatiotemporal Spike Metric for Event Cameras, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2021.3061122
Mingbao Lin, Rongrong Ji*, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Filter Sketch for Network Pruning, IEEE Transactions on Neural Networks and Learning Systems. 1109/TNNLS.2021.3084206
Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang*, Yonghong Tian, Feng Wu*, Tracking by Joint Local and Global Search: A Target-aware Attention based Approach, IEEE Transactions on Neural Networks and Learning Systems. 10.1109/TNNLS.2021.3083933
Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang*, Yonghong Tian, Feng Wu*, Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking, IEEE Transactions on Circuits and Systems for Video Technology. DOI: 10.1109/TCSVT.2021.3056684
Wen Gao, Siwei Ma, Lingyu Duan, Yonghong Tian*, Peiying Xing, Yaowei Wang, Shanshe Wang, Huizhu Jia, Tiejun Huang, Digital Retina: A Way to Make the City Brain More Efficient by Visual Coding, IEEE Transactions on Circuits and Systems for Video Technology. 10.1109/TCSVT.2021.3104305
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu*, Neural System Identification with Spike-triggered Non-negative Matrix Factorization, IEEE Transactions on Cybernetics, 2020 Nov 1. DOI: 10.1109/TCYB.2020.3042513
Qi Yan**, Yajing Zheng**, Shanshan Jia, Yichen Zhang, Zhaofei Yu*, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu*, Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Network, IEEE Transactions on Cybernetics, 1109/TCYB.2020.2972983
Xiawu Zheng, Rongrong Ji*, Qiang Wang, Yuhang Chen, Baochang Zhang, Qixiang Ye, Jie Chen, Feiyue Huang, Yonghong Tian, MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(9), 2021, 2936-2952. 1109/TPAMI.2021.3065138
Jia Li*, Jinming Su, Changqun Xia*, Mingcan Ma, and Yonghong Tian, Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss, IEEE Transactions on Image Processing, 30(7), 6855 – 6868.
Lin Zhu, Siwei Dong, Tiejun Huang, and Yonghong Tian*, Hybrid Coding of Spatiotemporal Spike Data for a Bio-inspired Camera, IEEE Transactions on Circuits and Systems for Video Technology, 31(7), 2021, 2837-2851.
Yi Chang, Luxin Yan*, Bingling Chen, Sheng Zhong, Yonghong Tian, Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist, IEEE Transactions on Geoscience and Remote Sensing, 59(8), Aug. 2021, 6869-6884. 10.1109/TGRS.2020.3024623.
李家宁，田永鸿*，神经形态视觉传感器的研究进展及应用综述，计算机学报， 44(6), 1259-1288。
赵耀,田永鸿,党建武,付树军,王恒友,万军,安高云,杜卓然,廖理心,韦世奎*, 面向智慧城市的交通视频结构化分析前沿进展, 26(6), 2021, 1227-1253.

2020

Youyang Qu, Shui Yu, Wanlei Zhou, and Yonghong Tian*, GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems, IEEE Transactions on Network Science and Engineering, 7(4), Oct.-Dec. 2020, 2576-2586.
Lin Zhu, Xiurong Jiang, Jianing Li, Yuanhong Hao, and Yonghong Tian*, Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes, ACM Transactions on Multimedia Computing Communications and Applications, 16, 4, Article 123 (December 2020), 23 pages.
Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang and Yonghong Tian*, Adaptation-Oriented Feature Projection for One-shot Action Recognition, IEEE Transactions on Multimedia, 22(12), Dec. 2020, 3166-3179.
Weiqing Min, Wen-Huang Cheng, Yonghong Tian, Abdulmotaleb El Saddik, Zi Huang, Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications, IEEE Multimedia, 27(3), Sep 2020, 8-11.
Kui Fu, Jia Li*, Yu Zhang, Hongze Shen, and Yonghong Tian, Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction, IEEE Transactions on Image Processing, 29(6), 7117-7127, Jun 2020. 10.1109/TIP.2020.2998977
Yonghong Tian*, Cees G. M. Snoek, Jingdong Wang, Zhu Liu, Rainer Lienhart, Susanne Boll, Guest Editorial: Multimedia Computing with Interpretable Machine Learning, IEEE Transactions on Multimedia, 22(7), Jul 2020, pp. 1661-1666.
Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian*, P-ODN: Prototype-based Open Deep Network for Open Set Recognition, Scientific Reports, 2020, 10, article number: 7146.
Zhaofei Yu, Jian K. Liu*, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang, Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes, Engineering, Volume 6, Issue 4, April 2020, 449-461.
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu*, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu^*, Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks, Neural Networks, Volume 125, May 2020, Pages 19-30.
Yajing Zheng, Shanshan Jia, Zhaofei Yu*, Tiejun Huang, Jian K. Liu, Yonghong Tian^*, Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation, Neural Networks, Volume 126, June 2020, Pages 42-51.
Lin Ding, Yonghong Tian*, Hongfei Fan, Changhuai Chen, and Tiejun Huang, Joint Coding of Local and Global Deep Features in Videos for Visual Search, IEEE Transactions on Image Processing, 29(1), 3734-3749, Jan 15, 2020. (WOS:000510750900064)
Jia Li, Jinming Su, Changqun Xia and Yonghong Tian, Distortion-adaptive Salient Object Detection in 360° Omnidirectional Images, Journal of Selected Topics in Signal Processing, 4(1), 38-48, Jan 2020. DOI: 10.1109/JSTSP.2019.2957982..

2019

Li Ma, Yonghong Tian^*, Peiyin Xing, Tiejun Huang, Residual-Based Post-processing for HEVC, IEEE Multimedia, 26(4), 67-79, Oct-Dec. 2019. (WOS:000510707800007)
Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu^*, Jian K Liu, Yonghong Tian^*, Tiejun Huang, Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor, IEEE Access, Volume: 7,157341 – 157352, Sep.2019. (WOS:000510442000002)
Siwei Dong, Zhichao Bi, Yonghong Tian^* and Tiejun Huang, Spike Coding for Dynamic Vision Sensor in Intelligent Driving, IEEE Internet of Things Journal, 6(1), Feb 2019, 60-71. (WOS:000459709500007) (EI20184105916767)
Yonghong Tian^*, Lan Wei, Shijian Lu, Tiejun Huang, Free- view gait recognition. PLoS ONE 14(4): e0214389, Apr 2019. (WOS:000464696100008)
Jia Li^*, PengCheng Yuan, Daxin Gu, Yonghong Tian^*, Hierarchical Deep Co-segmentation of Primary Objects in Aerial Videos, IEEE Multimedia, 26(3), JUL-SEP 2019, 9-18. (WOS:000484210400002)
Yuanyuan Yang^*, Yonghong Tian, Tiejun Huang, Multiscale video sequence matching for near-duplicate detection and retrieval, Multimedia Tools and Applications, January 2019, 78(1), pp 311–336. 10.1007/s11042-018-5862-3 (WOS:000457317500017) (EI20181905147578)
Yifan Zhao, Jia Li*, Yu Zhang, Yafei Song and Yonghong Tian Ordinal Multi-task Part Segmentation with Recurrent Prior Generation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Nov 18. doi: 10.1109/TPAMI.2019.2953854.
Jia Li, Jinming Su, Changqun Xia and Yonghong Tian, Distortion-adaptive Salient Object Detection in 360° Omnidirectional Images, Journal of Selected Topics in Signal Processing, 4(1), 38-48, Jan 2020. DOI: 10.1109/JSTSP.2019.2957982..
Yu, Z., Liu, J. K., Jia, S., Zhang, Y., Zheng, J., Tian Y*, and Huang, T., Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes. Engineering, In Press, (2019)

2018

Hongyuan Zhu, Romain Vail, Shijian Lu, Yonghong Tian*, Xianbing Cao, YoTube: Searching Action Proposal via Recurrent and Static Regression Networks, IEEE Transactions on Image Processing, Accepted, Jan. 2018. 10.1109/TIP.2018.2806279.
Peixi Peng, Yonghong Tian*, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang, Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(7), 2018, Jul 2018, 1625-1638. (EI 20172903946960) (WOS:000434294800007)
Yonghong Tian*, Jiaying Yan, Siwei Dong, Tiejun Huang, PA-Search: Predicting Units Adaptive Motion Search for Surveillance Video Coding, Computer Vision and Image Understanding, Published online, Mar 10, 2018. https://doi.org/10.1016/j.cviu.2018.02.009
高文，田永鸿*，王坚，数字视网膜:智慧城市系统演进的关键环节, SCIENTIA SINICA Informationis, Mar 2018.

2017

Shu Fang, Jia Li, Yonghong Tian*, Tiejun Huang, Xiaowu Chen, Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis, IEEE Transactions on Neural Networks and Learning Systems, 28(5), May, 2017: 1095-1108.
Yemin Shi, Yonghong Tian*, Yaowei Wang, Tiejun Huang, Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN, IEEE Transactions on Multimedia,19(7), Jul 2017, 1510-152.
Yong-hong TIAN, Xi-lin CHEN, Hong-kai XIONG, Hong-liang LI, Li-rong DAI, Jing CHEN, Jun-liang XING, Jing CHEN, Xi-hong WU, Wei-min HU, Yu HU, Tie-jun HUANG*, Wen GAO*, Towards human-like and transhuman perception in AI 2.0: a review, Frontiers of Information Technology & Electronic Engineering, Jan 2017, 18(1):58-67.
Lin Ding, Yonghong Tian*, Hongfei Fan, Yaowei Wang, and Tiejun Huang, TRate-Performance-Loss Optimization for Inter-frame Deep Feature Coding from Videos, IEEE Transactions on Image Processing, 26(12), Dec. 2017, 5743-5757.

2016

Jia Li, Yonghong Tian*, Xiaowu Chen, Tiejun Huang, Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation, International Journal of Computer Vision, 120(1), Oct 2016, 44-60. DOI: 10.1007/s11263-016-0892-7.
Yonghong Tian*, Min Chen, Leonel Sousa, Ubiquitous Multimedia: Emerging Research on Multimedia Computing, IEEE Multimedia, Mar-Apr 2016, pp. 12-15.
Wei Chen, Yonghong Tian*, Yaowei Wang and Tiejun Huang, Fixed-point Gaussian Mixture Model for Analysis-Friendly Surveillance Video Coding, Computer Vision and Image Understanding, vol. 142, Jan 2016, pp. 65-79. doi:10.1016/j.cviu.2015.09.006.
NOTE: Two typos are found in the Alg. 1, pp. 69: 1) In line 4, tmp should be assigned b (not zero in the current version); 2)In line 9, tmp should be shifted LEFT by ONE (not right by i in the current version). Thanks to Dr. Ma W.C. Deck from Royal Military College of Canada to help us to revise the typos.
Min Chen, Leonel Sousa, Yonghong Tian*, Guest Editors’ Introduction — Multimedia Computing: Challenges and Opportunities, International Journal of Semantic Computing, Vol. 10, No. 1, 2016, pp. 1–4.
Jiaying Yan, Siwei Dong, Yonghong Tian*, and Tiejun Huang, Introduction to AVS2 Scene Video Coding Techniques, ZTE Communications, 14(1), 2016, pp. 50-53.

2015

Jia Li, Lingyu Duan, Xiaowu Chen, Tiejun Huang, and Yonghong Tian, Finding the Secret of Image Saliency in the Frequency Domain, IEEE Transactions on Pattern Recognition and Machine Intelligence, 37(12), Dec 2015, pp. 2428-2440.
Yonghong Tian, Mengren Qian, Tiejun Huang, TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection, ACM Transactions on Information Systems, 33(2), Article 7, Jan 2015, 34 pages.
Peixi Peng, Yonghong Tian, Yaowei Wang, Jia Li, Tiejun Huang, Robust Multiple Cameras Pedestrian Detection with Multi-view Bayesian Network, Pattern Recognition, 48(5), May 2015, Pages 1760–1772.
Yonghong Tian, Jia Li, Shui Yu, Tiejun Huang, Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes, Int’l Journal of Computer Vision, 111(2), Jan 2015, 153-170. 10.1007/s11263-014-0737-1
Jia Li, Shu Fang (first co-author), Yonghong Tian^*, Tiejun Huang, and Xiaowu Chen, Image Saliency Estimation via Random Walk Guided by Informativeness and Latent Signal Correlations, Signal Processing: Image Communication, (2015), pp. 3-14. http://dx.doi.org/10.1016/j.image.2015.05.005 (code)
Yonghong Tian, Shu-Ching Chen, Mei-Ling Shyu, Tiejun Huang, Phillip Sheu, and Alberto Del Bimbo, Multimedia Big Data, IEEE Multimedia, 22(3), Jul.-Sep. 2015, 93-95.
Shu-Ching Chen, Ramesh Jain, Yonghong Tian, Haohong Wang, Guest Editorial – Multimedia: The Biggest Big Data, IEEE Transactions on Multimedia, 17(9), Sep. 2015, 1401-1403.

2014

Xianguo Zhang, Yonghong Tian, Tiejun Huang, Siwei Dong, Wen Gao, Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos with Background Modeling, IEEE Transactions on Image Processing, 23(10), Oct. 2014. 4511-4526. DOI: 10.1109/TIP.2014.2352036
Shui Yu, Yonghong Tian, Song Guo, Dapeng Oliver Wu, Can We Beat DDoS Attacks in Clouds? IEEE Transactions on Parallel and Distributed Systems, 25(9), Sep. 2013, 2245-2254. DOI: 10.1109/TPDS.2013.181.
Wen Gao, Yonghong Tian, Tiejun Huang, Siwei Ma, Xianguo Zhang, IEEE 1857 Standard Empowering Smart Video Surveillance Systems, IEEE Intelligent Systems, 29(5), Sep.-Oct. 2014, 30-39. DOI: 1109/MIS.2013.101.
Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao, Background-Modeling Based Adaptive Prediction for Surveillance Video Coding, IEEE Transactions on Image Processing, 23(2), Feb 2014, 769-784. DOI: 10.1109/TIP.2013.2294549.
Jia Li, Yonghong Tian, Tiejun Huang. Visual Saliency with Statistical Priors, Int’l Journal of Computer Vision, Volume 107, Issue 3 (2014), Page 239-253. DOI: 10.1007/s11263-013-0678-0.
Tiejun Huang, Siwei Dong, Yonghong Tian, Representing Visual Objects in HEVC Coding Loop, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Volume 4, Issue 1, March 2014, 5-16. DOI: 10.1109/JETCAS.2014.2298274.
Wen Gao, Tiejun Huang, Cliff Reader, Weibei Dow, Xilin, Chen, IEEE Standards for Advanced Audio and Video Coding in Emerging Applications, Computer, 47(5), pp 81-83.
Yonghong Tian, Shui Yu, Chin-Yung Lin, Wen Gao, Wanlei Zhou, Special Issue on Social Multimedia Computing: Challenges, Techniques, and Applications: Guest Editorial, Journal of Multimedia, 9(1), 2014, 1-3.

2013

Tiejun Huang, Yonghong Tian, Wen Gao, IEEE 1857: Boosting Video Applications in CPSS, IEEE Intelligent Systems, 28(5), 24-27, Sept.-Oct. 2013.
Jia Li, Yonghong Tian, Lingyu Duan and Tiejun Huang, Estimating Visual Saliency through Single Image Optimization, IEEE Signal Processing Letters, 20(9), Sep 2013, 845-848. (Code and Result here)
Yonghong Tian, Yaowei Wang, Zhipeng Hu, Tiejun Huang, Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes, IEEE Transactions on Circuits and Systems for Video Technology, 23(11), 2013, 1849-1864.
Yonghong Tian, Tiejun Huang, Menglin Jiang, and Wen Gao, Video Copy Detection and Localization with Scalable Cascading of Complementary Detectors and Multi-scale Sequence Matching, IEEE Multimedia, 21 Dec. 2012. http://doi.ieeecomputersociety.org/10.1109/MMUL.2012.62.
Luntian Mou,Tiejun Huang, Yonghong Tian, Menglin Jiang, Wen Gao, Content-Based Copy Detection through Multimodal Feature Representation and Temporal Pyramid Matching, ACM Transaction on Multimedia Computing and Communication Application, 10(1), Article 5, December 2013.
Xianguo Zhang, Tiejun Huang, Mingchao Geng, Yonghong Tian, Siwei Ma, Wen Gao, Fast and Efficient Transcoding Based on Low-complexity Background Modeling and Adaptive Block Classification, IEEE Transactions on Multimedia, 15(8), Dec 2013, 1769-1785.

2012

Jingjing Yang, Yonghong Tian, Lingyu Duan, Tiejun Huang, Wen Gao. Group-Sensitive Multiple Kernel Learning for Object Recognition, IEEE Transactions on Image Processing, 21(5), May 2012, 2838-2852.
Yonghong Tian, Tiejun Huang, Wen Gao, Multimodal Video Copy Detection using Multi-Detectors Fusion, IEEE COMSOC MMTC E-Letter, 7(5), September 2012, 3-6.
Zhongfei Zhang, Zhengyou Zhang, Ramesh Jain, Yueting Zhuang, Noshir CONTRACTOR, Alexander G. HAUPTMANN, Alejandro (Alex) JAIMES, Wanqing LI, Alexander C. LOUI, Tao MEI, Nicu SEBE, Yonghong Tian, Vincent S. TSENG, Qing WANG, Changsheng XU, Huimin YU, Shiwen YU, Societally connected multimedia across cultures, Journal of Zhejiang University SCIENCE C, 13(12), 2012, 875-880.
CHEN Ming-Li, ZHANG Chang-Xin, YANG Shao-Juan, MAO Li-Hua, TIAN Yong-Hong, HUANG Tie-Jun, WU Xi-Hong, GAO Wen, LI Liang, Stereopsis-Based Binocular Unmasking, Advances in Psychological Science, 20(9), 2012, 1355-1363. [In Chinese]
Yonghong Tian, Tiejun Huang, Wen Gao, Social Multimedia Compution,Communication of China Computer Federation,8(4),2012,8-13. [In Chinese]

2011

Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao. Multi-Task Rank Learning for Visual Saliency in Video. IEEE Transactions on Circuits and Systems for Video Technology, 21(5), May 2011, 623-636.
Tiejun Huang, Yonghong Tian, Jia Li, Haonan Yu. Salient region detection and segmentation for general object recognition and image understanding, Science in China Information Series, 54(12), Dec. 2011, 2461-2470.

2010

Yonghong Tian, Jaideep Srivastava, Tiejun Huang, and Noshir Contractor. Social Multimedia Computing. Computer, 43(8), Aug. 2010, 27-36.
Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang. Vlogging: A Survey of Video Blogging Technology on the Web. ACM Computing Surveys, 42(4), Jun. 2010, article 15, 57 pages.
Jia Li, Yonghong Tian, Tiejun Huang and Wen Gao. Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video. International Journal of Computer Vision, 90(2), Aug. 2010, 150-165.
Tiejun Huang, Yonghong Tian, Wen Gao, Jian Lu. Mediaprinting: Identifying Multimedia Content for Digital Rights Management. Computer, 43(12), Dec. 2010, 28-35.
Yuanning Li, Yonghong Tian, Lingyu Duan, Jingjing Yang, Tiejun Huang, Wen Gao. Sequence Multi-Labeling: A Unified Video Annotation Scheme with Spatial and Temporal Context. IEEE Transactions on Multimedia, 12(8), Dec. 2010, 814-828.
Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao. Cost-Sensitive Rank Learning from Positive and Unlabeled Data for Visual Saliency Estimation. IEEE Signal Processing Letters, 17(6), Jun. 2010, 591-594.
Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao. Per-Sample Multiple Kernel Approach for Visual Concept Learning. EURASIP Journal on Image and Video Processing, Vol 2010, Article ID 461450, 13 pages.
Jia Li, Haonan Yu, Yonghong Tian, Tiejun Huang. Salient Object Extraction for User-Targeted Video Content Association. Journal of Zhejiang University SCIENCE C, 11(11), Nov. 2010, 850-859.
Yali Cao Tiejun Huang, Yonghong Tian. A ranking SVM based results fusion model for cross-media meta-search engine. Journal of Zhejiang University SCIENCE C, 11(11), Nov. 2010, 903-910.

2009

Yaowei Wang, Limin Su, Yonghong Tian. KernelRank: Exploiting Semantic Linkage Kernels for Relevant Pages Finding. Chinese Journal of Electronics, 18(3) , 2009, 405-410.

2006

Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling and Wen Gao, Learning contextual dependency network models for link-based classification. IEEE Transactions on Knowledge and Data Engineering, 18(11), Nov 2006, 1482-1496.
Yonghong Tian, Tiejun Huang, Wen Gao. Latent Linkage Semantic Kernels for Collective Classification of Link Data. Journal of Intelligent Information Systems, 26(3), May 2006, 269-301.
Yonghong Tian. Context-Based Statistical Relational Learning. AI Communications, 19(3), Sep. 2006, 291-293.

2005

Yonghong Tian, Tiejun Huang, Wen Gao. Exploiting multi-context analysis in semantic image classification. Journal of Zhejiang University SCIENCE, 6A (11), Nov. 2005, 1268-1283.
Tiejun Huang, Yonghong Tian, Chunli Wang, Xiaoddong Shi, Wen Gao. Towards a multilingual, multimedia and multimodal digital library platform. Journal of Zhejiang University SCIENCE, 6A (11), 2005, 1180-1184.

2004

Yonghong Tian, Tiejun Huang, Wen Gao. Two-phase Web site classification based on Hidden Markov Tree models. Int’l Journal: Web Intelligence and Agent System, 4(2), 2004, 249-264.
Yonghong Tian, Tiejun Huang, Wen Gao. A Web Site Representation and Mining Algorithm Using the Multiscale Tree Model. Journal of Software,15(9), Sep 2004. [In Chinese]
Pingbo Kang, Yonghong Tian, Tiejun Huang, Design and Implementation of Intelligent Internet Robot, Computer Engineering, 2004, 30(4), 88-92. [In Chinese]

2003

Yonghong Tian, Tiejun Huang, Wen Gao. The Influence Model of Online Social Interactions and its Learning Algorithms. Chinese Journal of Computers, 28(7), Jul 2003.

2002

Yue Wu, Mingtian Zhou, Yonghong Tian. Object-Topic Model and Its Application in Mobile Decision Systems, Computer Science, 29(5), 2002. [In Chinese]

2001

Yue Wu, Yonghong Tian, WanLei Zhou. The Development of a Mobile Decision Support System. Journal of Interconnection Network, Special Issue on Network-based Parallel Computing, 2(3), Sep. 2001, 379-390.