| 2026 | AAAI | Parallel Training Time-to-First-Spike Spiking Neural Networks. | Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian |
| 2026 | AAAI | ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics. | Kaiwen Cheng, Yutian Liu, Zhiwei Nie, Mujie Lin, Yanzhen Hou, Yiheng Tao, Chang Liu, Jie Chen, Youdong Mao, Yonghong Tian |
| 2026 | AAAI | Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models. | Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian |
| 2026 | AAAI | Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning. | Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian |
| 2026 | AAAI | Spikingformer: A Key Foundation Model for Spiking Neural Networks. | Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian |
| 2026 | ACL | AscendKernelGen: LLM-Driven Kernel Generation for NPUs. | Xinzi Cao, Jianyang Zhai, Pengfei Li, Zhiheng Hu, Cen Yan, Bingxu Mu, Guanghuan Fang, Bin She, Jiayu Li, Yihan Su, Dongyang Tao, Feidiao Yang, Chang-Dong Wang, Yutong Lu, Weicheng Xue, Bin Zhou, Yonghong Tian |
| 2026 | ACL | BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning. | Yuyang Liu, Jingya Wang, Liuzhenghao Lv, Yonghong Tian |
| 2025 | AAAI | AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes. | Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian |
| 2025 | AAAI | Visual Reinforcement Learning with Residual Action. | Zhenxian Liu, Peixi Peng, Yonghong Tian |
| 2025 | COLING | Learning Transition Patterns by Large Language Models for Sequential Recommendation. | Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian |
| 2025 | COLING | FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. | Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao |
| 2025 | CVPR | Self-Supervised Learning for Color Spike Camera Reconstruction. | Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang |
| 2025 | CVPR | RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing. | Zhipeng Huang, Wangbo Yu, Xinhua Cheng, ChengShu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian |
| 2025 | CVPR | VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning. | Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian |
| 2025 | CVPR | Asynchronous Collaborative Graph Representation for Frames and Events. | Dianze Li, Jianing Li, Xu Liu, Xiaopeng Fan, Yonghong Tian |
| 2025 | CVPR | Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. | Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian |
| 2025 | CVPR | Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. | Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian |
| 2025 | ICCV | ALLGCD: Leveraging All Unlabeled Data for Generalized Category Discovery. | Xinzi Cao, Ke Chen, Feidiao Yang, Xiawu Zheng, Yonghong Tian, Yutong Lu |
| 2025 | ICCV | Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion. | Quanmin Liang, Qiang Li, Shuai Liu, Xinzi Cao, Jinyi Lu, Feidiao Yang, Wei Zhang, Kai Huang, Yonghong Tian |
| 2025 | ICCV | Evagaussians: Event Stream Assisted Gaussian Splatting from Blurry Images. | Wangbo Yu, Chaoran Feng, Jianing Li, Jiye Tang, Jiashu Yang, Zhenyu Tang, Meng Cao, Xu Jia, Yuchao Yang, Li Yuan, Yonghong Tian |
| 2025 | ICCV | From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors Via LLM-guided Symbolic Reasoning. | Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Jun Peng, Yonghong Tian, Rongrong Ji |
| 2025 | ICLR | PiCO: Peer Review in LLMs based on Consistency Optimization. | Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yonghong Tian, Yibing Song, Li Yuan |
| 2025 | ICLR | Multimodal Quantitative Language for Generative Recommendation. | Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian |
| 2025 | ICML | When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. | Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian |
| 2025 | ICPADS | AUE: A Normalized Energy Efficiency Metric for AI Servers Under LLM Workloads. | Yijia Zhang, Dongxiang Zhang, Xianglin Liu, Qiang Wang, Bingqiang Wang, Shixun Zhang, Yonghong Tian |
| 2025 | USENIX | Accelerating Model Training on Ascend Chips: An Industrial System for Profiling, Analysis and Optimization. | Yuhang Zhou, Zibo Wang, Zhibin Wang, Ruyi Zhang, Chen Tian, Xiaoliang Wang, Wanchun Dou, Guihai Chen, Bingqiang Wang, Yonghong Tian, Yan Zhang, Hui Wang, Fuchun Wei, Boquan Sun, Jingyi Zhang, Bin She, Teng Su, Yifan Yao, Chunsheng Li, Ziyang Zhang, Yaoyuan Wang, Bin Zhou, Guyue Liu |
| 2024 | AAAI | Adaptive Discovering and Merging for Incremental Novel Class Discovery. | Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian |
| 2024 | AAAI | HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. | Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian |
| 2024 | CVPR | Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. | Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian |
| 2024 | CVPR | Event-Based Visible and Infrared Fusion via Multi-Task Collaboration. | Mengyue Geng, Lin Zhu, Lizhi Wang, Wei Zhang, Ruiqin Xiong, Yonghong Tian |
| 2024 | CVPR | Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. | Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang |
| 2024 | CVPR | DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. | Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian |
| 2024 | ECCV | HiFi-123: Towards High-Fidelity One Image to 3D Content Generation. | Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Wenbo Hu, Quan Long, Ying Shan, Yonghong Tian |
| 2024 | ICANN | Temporal Contrastive Learning for Spiking Neural Networks. | Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian |
| 2024 | ICASSP | Optimal ANN-SNN Conversion with Group Neurons. | Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian |
| 2024 | ICLR | Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. | Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li |
| 2024 | ICML | High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. | Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li |
| 2024 | IJCAI | Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. | Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian |
| 2024 | SC | Unlocking High Performance with Low-Bit NPUs and CPUs for Highly Optimized HPL-MxP on Cloud Brain II. | Weicheng Xue, Kai Yang, Yongxiang Liu, Dengdong Fan, Pengxiang Xu, Yonghong Tian |
| 2023 | AAAI | Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. | Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian |
| 2023 | CVPR | Meta Architecture for Point Cloud Analysis. | Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji |
| 2023 | CVPR | Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. | Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian |
| 2023 | ICCV | Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. | Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian |
| 2023 | ICCV | Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. | Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian |
| 2023 | ICIG | Learning Sparse Neural Networks with Identity Layers. | Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian |
| 2023 | ICLR | A Unified Framework for Soft Threshold Pruning. | Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian |
| 2023 | ICLR | Spikformer: When Spiking Neural Network Meets Transformer. | Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan |
| 2023 | IJCAI | Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. | Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian |
| 2022 | AAAI | Retinomorphic Object Detection in Asynchronous Visual Streams. | Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian |
| 2022 | CVPR | Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. | Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian |
| 2022 | CVPR | Fine-Grained Object Classification via Self-Supervised Pose Alignment. | Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian |
| 2022 | CVPR | Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. | Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian |
| 2022 | CVPR | Neural Architecture Search with Representation Mutual Information. | Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji |
| 2022 | CVPR | IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. | Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji |
| 2022 | CVPR | Training-free Transformer Architecture Search. | Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji |
| 2022 | DATE | PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. | Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian |
| 2022 | ECCV | Masked Autoencoders for Point Cloud Self-supervised Learning. | Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan |
| 2022 | ICASSP | Modeling The Detection Capability Of High-Speed Spiking Cameras. | Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang |
| 2022 | ICML | State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. | Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian |
| 2021 | AAAI | Matching on Sets: Conquer Occluded Person Re-identification Without Alignment. | Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang |
| 2021 | CVPR | Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. | Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu |
| 2021 | CVPR | High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras. | Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang |
| 2021 | DCC | Reducing Image Compression Artifacts for Deep Neural Networks. | Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian |
| 2021 | DCC | Short Video Performance Evaluation of AV1 Coding Tools. | Peiyin Xing, Yangang Cai, Xufeng Li, Yonghong Tian |
| 2021 | ICASSP | Collaborative Intelligence: Challenges and Opportunities. | Ivan V. Bajic, Weisi Lin, Yonghong Tian |
| 2021 | ICASSP | Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. | Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian |
| 2021 | ICCV | NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. | Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian |
| 2021 | ICCV | Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. | Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian |
| 2021 | ICCV | Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. | Wei Fang, Zhaofei Yu, Yanqi Chen, Timothe Masquelier, Tiejun Huang, Yonghong Tian |
| 2021 | ICCV | ReCU: Reviving the Dead Weights in Binary Neural Networks. | Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji |
| 2021 | ICCV | Heterogeneous Relational Complement for Vehicle Re-identification. | Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian |
| 2021 | IJCAI | Pruning of Deep Spiking Neural Networks through Gradient Rewiring. | Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian |
| 2021 | IJCAI | Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. | Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang |
| 2021 | MICCAI | Learnable Oriented-Derivative Network for Polyp Segmentation. | Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen |
| 2021 | WACV | PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks. | Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu, Yonghong Tian |
| 2020 | AAAI | Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. | Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian |
| 2020 | CVPR | HRank: Filter Pruning Using High-Rank Feature Map. | Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao |
| 2020 | CVPR | AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. | Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian |
| 2020 | CVPR | Rethinking Performance Estimation in Neural Architecture Search. | Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian |
| 2020 | CVPR | Retina-Like Visual Image Reconstruction via Spiking Neural Model. | Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian |
| 2020 | DCC | Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. | Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian |
| 2020 | ECCV | Learning Open Set Network with Discriminative Reciprocal Points. | Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian |
| 2020 | ECCV | Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification. | Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian |
| 2020 | IJCAI | Channel Pruning via Automatic Structure Search. | Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian |
| 2020 | MICCAI | BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. | Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen |
| 2020 | WACV | Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition. | Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian |
| 2019 | CVPR | Part-Regularized Near-Duplicate Vehicle Re-Identification. | Bing He, Jia Li, Yifan Zhao, Yonghong Tian |
| 2019 | DCC | An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals. | Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang |
| 2019 | DCC | Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor. | Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian, Tiejun Huang |
| 2019 | DCC | Efficient and Fast Coefficient Sign Inference for Video Coding. | Daoyuan Xu, Peiyin Xing, Yaowei Wang, Yonghong Tian |
| 2019 | ICCV | Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. | Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang |
| 2019 | ICCV | Selectivity or Invariance: Boundary-Aware Salient Object Detection. | Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian |
| 2019 | ICCV | Multi-Class Part Parsing With Joint Boundary-Semantic Awareness. | Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian |
| 2019 | IROS | Learning Local Feature Descriptor with Motion Attribute For Vision-based Localization. | Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li |
| 2019 | ISCAS | Semi-Siamese Network for Content-Based Video Relevance Prediction. | Zongxian Li, Sheng Li, Lantian Xue, Yonghong Tian |
| 2019 | ICRA | 2D LiDAR Map Prediction via Estimating Motion Flow with GRU. | Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li |
| 2019 | VCIP | 3D Human Skeleton Data Compression for Action Recognition. | Sheng Li, Tingting Jiang, Yonghong Tian, Tiejun Huang |
| 2018 | DCC | Spike Coding for Dynamic Vision Sensors. | Zhichao Bi, Siwei Dong, Yonghong Tian, Tiejun Huang |
| 2017 | DCC | Spike Camera and Its Coding Methods. | Siwei Dong, Tiejun Huang, Yonghong Tian |
| 2017 | ICCV | Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. | Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang |
| 2017 | ICCV | Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles. | Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang |
| 2017 | ICIP | Search video action proposal with recurrent and static YOLO. | Romain Vial, Hongyuan Zhu, Yonghong Tian, Shijian Lu |
| 2016 | CVPR | Deep Relative Distance Learning: Tell the Difference between Similar Vehicles. | Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, Tiejun Huang |
| 2016 | CVPR | Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. | Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian |
| 2016 | ECCV | Joint Learning of Semantic and Latent Attributes. | Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang |
| 2015 | AAAI | Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification. | Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang |
| 2015 | ICIP | Image deblurring using robust sparsity priors. | Xinxin Zhang, Ronggang Wang, Yonghong Tian, Wenmin Wang, Wen Gao |
| 2015 | ISCAS | Quality-progressive coding for high bit-rate background frames on surveillance videos. | Shaoge Guo, Yaowei Wang, Yonghong Tian, Peiyin Xing, Wen Gao |
| 2014 | CVPR | Quality Assessment for Comparing Image Enhancement Algorithms. | Zhengying Chen, Tingting Jiang, Yonghong Tian |
| 2014 | VCIP | A refined object detection method based on HTM. | Hongye Liu, Taiyin Zhao, Yaowei Wang, Yonghong Tian |
| 2013 | DCC | Hierarchical-and-Adaptive Bit-Allocation with Selective Background Prediction for High Efficiency Video Coding (HEVC). | Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao |
| 2013 | ICIP | A system based on sequence learning for event detection in surveillance video. | Xiaoyu Fang, Ziwei Xia, Chi Su, Teng Xu, Yonghong Tian, Yaowei Wang, Tiejun Huang |
| 2013 | ICIP | Overview of the IEEE 1857 surveillance groups. | Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao |
| 2013 | ISCAS | Single underwater image enhancement with a new optical model. | Haocheng Wen, Yonghong Tian, Tiejun Huang, Wen Gao |
| 2013 | PCS | Surveillance video coding with quadtree partition based ROI extraction. | Peiyin Xing, Yonghong Tian, Tiejun Huang, Wen Gao |
| 2013 | VCIP | Wavelet based smoke detection method with RGB Contrast-image and shape constrain. | Jiaqiu Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang |
| 2013 | VCIP | A coding unit classification based AVC-to-HEVC transcoding with background modeling for surveillance videos. | Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang |
| 2012 | ACCV | Automatic Webcam-Based Human Heart Rate Measurements Using Laplacian Eigenmap. | Lan Wei, Yonghong Tian, Yaowei Wang, Touradj Ebrahimi, Tiejun Huang |
| 2012 | AVSS | An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured by Moving Camera. | Shumin Han, Xianguo Zhang, Yonghong Tian, Tiejun Huang |
| 2012 | AVSS | Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. | Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang |
| 2012 | BMVC | Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. | Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang |
| 2012 | ISCAS | Robust and discriminative image authentication based on standard model feature. | Luntian Mou, Xilin Chen, Yonghong Tian, Tiejun Huang |
| 2012 | VCIP | An efficient surveillance coding method based on a timely and bit-saving background updating model. | Wei Chen, Xianguo Zhang, Yonghong Tian, Tiejun Huang |
| 2012 | VCIP | Low-complexity and high-efficiency background modeling for surveillance video coding. | Xianguo Zhang, Yonghong Tian, Tiejun Huang, Wen Gao |
| 2011 | ICIP | Selective eigenbackgrounds method for background subtraction in crowed scenes. | Zhipeng Hu, Yaowei Wang, Yonghong Tian, Tiejun Huang |
| 2011 | ICIP | A multimodal video copy detection approach with sequential pyramid matching. | Yonghong Tian, Menglin Jiang, Luntian Mou, Xiaoyu Fang, Tiejun Huang |
| 2011 | MMM | Augmenting Image Processing with Social Tag Mining for Landmark Recognition. | Amogh Mahapatra, Xin Wan, Yonghong Tian, Jaideep Srivastava |
| 2010 | ICIP | ESUR: A system for Events detection in SURveillance video. | Yaowei Wang, Yonghong Tian, Lingyu Duan, Zhipeng Hu, Guochen Jia |
| 2009 | ICCV | Group-sensitive multiple kernel learning for object categorization. | Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao |
| 2009 | MMM | A New Multiple Kernel Approach for Visual Concept Learning. | Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao |
| 2008 | ICIP | Multi-polarity text segmentation using graph theory. | Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao |
| 2007 | WWW | Towards multi-granularity multi-facet e-book retrieval. | Chong Huang, Yonghong Tian, Zhi Zhou, Tiejun Huang |
| 2006 | ADMA | Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. | Chong Huang, Yonghong Tian, Tiejun Huang, Wen Gao |
| 2006 | ADMA | Robust Collective Classification with Contextual Dependency Network Models. | Yonghong Tian, Tiejun Huang, Wen Gao |
| 2006 | ICDM | Keyphrase Extraction Using Semantic Networks Structure Analysis. | Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang |