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.