Yonghong Tian - RankMe

576 papers A* 106A 26B 23C 13Misc 4Journal 353Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-Ray Report Generation. IEEE Trans. Medical Imaging Xiao Wang, Fuling Wang, Haowen Wang, Bo Jiang, Chuanfu Li, Yaowei Wang, Yonghong Tian, Jin Tang
2026	J	`jnl`	Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis. CoRR Hao Li, He Cao, Shenyao Peng, Zijing Liu, Bin Feng, Yu Wang, Zhiyuan Yan, Yonghong Tian, Yu Li, Li Yuan
2026	J	`jnl`	All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations. CoRR Wenrui Li, Hongtao Chen, Yao Xiao, Wangmeng Zuo, Jiantao Zhou, Yonghong Tian, Xiaopeng Fan
2026	J	`jnl`	AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units. CoRR Xinzi Cao, Jianyang Zhai, Pengfei Li, Zhiheng Hu, Cen Yan, Bingxu Mu, Guanghuan Fang, Bin She, Jiayu Li, Yihan Su, Dongyang Tao, Xiansong Huang, Fan Xu, Feidiao Yang, Yao Lu, Chang-Dong Wang, Yutong Lu, Weicheng Xue, Bin Zhou, Yonghong Tian
2026	J	`jnl`	BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning. CoRR Yuyang Liu, Jingya Wang, Liuzhenghao Lv, Yonghong Tian
2026	A*	`conf`	Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning. AAAI Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian
2026	J	`jnl`	Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking. CoRR Shiao Wang, Xiao Wang, Haonan Zhao, Jiarui Xu, Bo Jiang, Lin Zhu, Xin Zhao, Yonghong Tian, Jin Tang
2026	J	`jnl`	EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition. CoRR Xiao Wang, Xingxing Xiong, Jinfeng Gao, Xufeng Lou, Bo Jiang, Sibao Chen, Yaowei Wang, Yonghong Tian
2026	J	`jnl`	Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms. Int. J. Comput. Vis. Xiao Wang, Shiao Wang, Pengpeng Shao, Lin Zhu, Bo Jiang, Yonghong Tian
2026	J	`jnl`	Good Performance Estimation Strategies are All You Need in Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. Xiawu Zheng, Lei Zhang, Binghan Chen, Mingkai Wang, Fei Chao, Chenglin Wu, Shanshan Wang, Rongrong Ji, Yonghong Tian
2026	J	`jnl`	Hierarchical Zero-Order Optimization for Deep Neural Networks. CoRR Sansheng Cao, Zhengyu Ma, Yonghong Tian
2026	J	`jnl`	HoloDreamer: Holistic 3D Panoramic Scene Generation From Text Descriptions. IEEE Trans. Vis. Comput. Graph. Haiyang Zhou, Xinhua Cheng, Wangbo Yu, Yonghong Tian, Li Yuan
2026	J	`jnl`	Language-Guided Graph Representation Learning for Video Summarization. IEEE Trans. Pattern Anal. Mach. Intell. Wenrui Li, Wei Han, Hengyu Man, Wangmeng Zuo, Xiaopeng Fan, Yonghong Tian
2026	J	`jnl`	NOFA++: Tuning-Free NeRF-Based One-Shot Facial Avatar Reconstruction. IEEE Trans. Circuits Syst. Video Technol. Wangbo Yu, Chaoran Feng, Li Yuan, Yonghong Tian
2026	J	`jnl`	PCL-Reasoner-V1.5: Advancing Math Reasoning with Offline Reinforcement Learning. CoRR Yao Lu, Dengdong Fan, Jianzheng Nie, Fan Xu, Jie Chen, Bin Zhou, Yonghong Tian
2026	A*	`conf`	Parallel Training Time-to-First-Spike Spiking Neural Networks. AAAI Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian
2026	A*	`conf`	Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models. AAAI Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian
2026	A*	`conf`	ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics. AAAI Kaiwen Cheng, Yutian Liu, Zhiwei Nie, Mujie Lin, Yanzhen Hou, Yiheng Tao, Chang Liu, Jie Chen, Youdong Mao, Yonghong Tian
2026	J	`jnl`	ProLLaMA: A Protein Large Language Model for Multitask Protein Language Processing. IEEE Trans. Artif. Intell. Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian
2026	J	`jnl`	Revisiting color-event based tracking: A unified network, dataset, and metric. Pattern Recognit. Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Shifeng Chen, Jianlin Zhang, Yaowei Wang, Yonghong Tian
2026	J	`jnl`	SERF: Spatiotemporal-Aware Event-RGB Fusion for Steering Angle Prediction. IEEE Trans. Intell. Transp. Syst. Canming Xia, Peixi Peng, Haoran Xu, Guang Tan, Luntong Li, Yonghong Tian
2026	J	`jnl`	Spatio-temporal side tuning pre-trained foundation models for video-based pedestrian attribute recognition. Comput. Vis. Image Underst. Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
2026	A*	`conf`	Spikingformer: A Key Foundation Model for Spiking Neural Networks. AAAI Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian
2026	J	`jnl`	Towards to real world vehicle privacy protection: A new dataset and benchmark. Pattern Recognit. Jiayi Lin, Chengming Zou, Long Lan, Yong Luo, Yue Yu, Yaowei Wang, Wei Zeng, Yonghong Tian
2026	J	`jnl`	WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models. CoRR Yu Shang, Zhuohang Li, Yiding Ma, Weikang Su, Xin Jin, Ziyou Wang, Lei Jin, Xin Zhang, Yinzhou Tang, Haisheng Su, Chen Gao, Wei Wu, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Wenwu Zhu, Yong Li
2025	J	`jnl`	A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks. CoRR Qingyan Meng, Mingqing Xiao, Zhengyu Ma, Huihui Zhou, Yonghong Tian, Zhouchen Lin
2025	J	`jnl`	A unified evolution-driven deep learning framework for virus variation driver prediction. Nat. Mac. Intell. Zhiwei Nie, Xudong Liu, Jie Chen, Zhennan Wang, Yutian Liu, Haorui Si, Tianyi Dong, Fan Xu, Guoli Song, Yu Wang, Peng Zhou, Wen Gao, Yonghong Tian
2025	J	`jnl`	AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene. CoRR Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian
2025	A*	`conf`	AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes. AAAI Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian
2025	B	`conf`	AUE: A Normalized Energy Efficiency Metric for AI Servers Under LLM Workloads. ICPADS Yijia Zhang, Dongxiang Zhang, Xianglin Liu, Qiang Wang, Bingqiang Wang, Shixun Zhang, Yonghong Tian
2025	—	`conf`	Accelerating Model Training on Ascend Chips: An Industrial System for Profiling, Analysis and Optimization. USENIX ATC 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
2025	J	`jnl`	Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation. CoRR Xiao Wang, Fuling Wang, Haowen Wang, Bo Jiang, Chuanfu Li, Yaowei Wang, Yonghong Tian, Jin Tang
2025	J	`jnl`	Adversarial Attack for RGB-Event based Visual Object Tracking. CoRR Qiang Chen, Xiao Wang, Haowen Wang, Bo Jiang, Lin Zhu, Dawei Zhang, Yonghong Tian, Jin Tang
2025	J	`jnl`	Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Hanyu Zhou, Yi Chang, Zhiwei Shi, Wending Yan, Gang Chen, Yonghong Tian, Luxin Yan
2025	J	`jnl`	An Information Theory-Inspired Strategy for Automated Network Pruning. Int. J. Comput. Vis. Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji
2025	A*	`conf`	Asynchronous Collaborative Graph Representation for Frames and Events. CVPR Dianze Li, Jianing Li, Xu Liu, Xiaopeng Fan, Yonghong Tian
2025	J	`jnl`	Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations. CoRR Hao Li, He Cao, Bin Feng, Yanjun Shao, Xiangru Tang, Zhiyuan Yan, Li Yuan, Yonghong Tian, Yu Li
2025	J	`jnl`	BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and Reasoning. CoRR Yuyang Liu, Liuzhenghao Lv, Xiancheng Zhang, Li Yuan, Yonghong Tian
2025	J	`jnl`	Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views. CoRR Zhankuo Xu, Chaoran Feng, Yingtao Li, Jianbin Zhao, Jiashu Yang, Wangbo Yu, Li Yuan, Yonghong Tian
2025	A	`conf`	CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection. ICME Mingyi Guo, Yuyang Liu, Zhiyuan Yan, Zongying Lin, Peixi Peng, Yonghong Tian
2025	J	`jnl`	CRSOT: Cross-Resolution Object Tracking Using Unaligned Frame and Event Cameras. IEEE Trans. Multim. Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang
2025	J	`jnl`	Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. CoRR Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou
2025	J	`jnl`	Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning. CoRR Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian
2025	J	`jnl`	Content-Distortion High-Order Interaction for Blind Image Quality Assessment. CoRR Shuai Liu, Qingyu Mao, Chao Li, Jiacong Chen, Fanyang Meng, Yonghong Tian, Yongsheng Liang
2025	J	`jnl`	Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting. CoRR Yuyang Liu, Qiuhe Hong, Linlan Huang, Alexandra Gomez-Villa, Dipam Goswami, Xialei Liu, Joost van de Weijer, Yonghong Tian
2025	J	`jnl`	Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. Lin Zhu, Xianzhang Chen, Lizhi Wang, Xiao Wang, Yonghong Tian, Hua Huang
2025	A*	`conf`	DSF-Net: Dynamic Sparse Fusion of Event-RGB via Spike-Triggered Attention for High-Speed Detection. ACM Multimedia Dongyang Ma, Zhengyu Ma, Wei Zhang, Yonghong Tian
2025	J	`jnl`	Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction. Nat. Comput. Sci. Hao Li, Da Long, Li Yuan, Yu Wang, Yonghong Tian, Xinchang Wang, Fanyang Mo
2025	J	`jnl`	Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection. CoRR Xiao Wang, Yu Jin, Lan Chen, Bo Jiang, Lin Zhu, Yonghong Tian, Jin Tang, Bin Luo
2025	A*	`conf`	E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras. ACM Multimedia Chaoran Feng, Zhenyu Tang, Wangbo Yu, Yatian Pang, Yian Zhao, Jianbin Zhao, Li Yuan, Yonghong Tian
2025	J	`jnl`	E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras. CoRR Chaoran Feng, Zhenyu Tang, Wangbo Yu, Yatian Pang, Yian Zhao, Jianbin Zhao, Li Yuan, Yonghong Tian
2025	A*	`conf`	ESOD: Event-Based Small Object Detection. ACM Multimedia Quanmin Liang, Jinyi Lu, Qiang Li, Shuai Liu, Zhihao Zhao, Yinzheng Zhao, Wei Zhang, Kai Huang, Yonghong Tian
2025	J	`jnl`	ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning. CoRR Xiao Wang, Jingtao Jiang, Qiang Chen, Lan Chen, Lin Zhu, Yaowei Wang, Yonghong Tian, Jin Tang
2025	J	`jnl`	Enabling scale and rotation invariance in convolutional neural networks with retina like transformation. Neural Networks Jiahong Zhang, Guoqi Li, Qiaoyi Su, Lihong Cao, Yonghong Tian, Bo Xu
2025	J	`jnl`	Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark. CoRR Shiao Wang, Xiao Wang, Chao Wang, Liye Jin, Lin Zhu, Bo Jiang, Yonghong Tian, Jinhui Tang
2025	J	`jnl`	Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. Mengyue Geng, Lizhi Wang, Lin Zhu, Wei Zhang, Ruiqin Xiong, Yonghong Tian
2025	B	`conf`	FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. COLING Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao
2025	J	`jnl`	Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
2025	J	`jnl`	GNSP: Gradient Null Space Projection for Preserving Cross-Modal Alignment in VLMs Continual Learning. CoRR Tiantian Peng, Yuyang Liu, Shuo Yang, Qiuhe Hong, Yonghong Tian
2025	J	`jnl`	GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation. CoRR Yuchen Li, Chaoran Feng, Zhenyu Tang, Kaiyuan Deng, Wangbo Yu, Yonghong Tian, Li Yuan
2025	J	`jnl`	High-Rate Monocular Depth Estimation via Cross Frame-Rate Collaboration of Frames and Events. Int. J. Comput. Vis. Xu Liu, Xiaopeng Fan, Jianing Li, Dianze Li, Wei Zhang, Zhengyu Ma, Yonghong Tian
2025	A*	`conf`	HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation. ACM Multimedia Haiyang Zhou, Wangbo Yu, Jiawen Guan, Xinhua Cheng, Yonghong Tian, Li Yuan
2025	J	`jnl`	HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation. CoRR Haiyang Zhou, Wangbo Yu, Jiawen Guan, Xinhua Cheng, Yonghong Tian, Li Yuan
2025	J	`jnl`	How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension. CoRR Hao Li, Liuzhenghao Lv, He Cao, Zijing Liu, Zhiyuan Yan, Yu Wang, Yonghong Tian, Yu Li, Li Yuan
2025	J	`jnl`	Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset. CoRR Shiao Wang, Xiao Wang, Bo Jiang, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian, Jin Tang
2025	A*	`conf`	Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. CVPR Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian
2025	J	`jnl`	Language-Guided Graph Representation Learning for Video Summarization. CoRR Wenrui Li, Wei Han, Hengyu Man, Wangmeng Zuo, Xiaopeng Fan, Yonghong Tian
2025	J	`jnl`	Language-Inspired Relation Transfer for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhao, Jia Li, Zeyin Song, Yonghong Tian
2025	J	`jnl`	Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning. CoRR Yifan Zhao, Jia Li, Zeyin Song, Yonghong Tian
2025	B	`conf`	Learning Transition Patterns by Large Language Models for Sequential Recommendation. COLING Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian
2025	J	`jnl`	Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. CoRR Wenrui Li, Penghong Wang, Xingtao Wang, Wangmeng Zuo, Xiaopeng Fan, Yonghong Tian
2025	J	`jnl`	Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Wenrui Li, Penghong Wang, Xingtao Wang, Wangmeng Zuo, Xiaopeng Fan, Yonghong Tian
2025	A*	`conf`	Multimodal Quantitative Language for Generative Recommendation. ICLR Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025	J	`jnl`	Multimodal Quantitative Language for Generative Recommendation. CoRR Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025	J	`jnl`	NER-Net+: Seeing Motion at Nighttime With an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. Haoyue Liu, Jinghan Xu, Shihan Peng, Yi Chang, Hanyu Zhou, Yuxing Duan, Lin Zhu, Yonghong Tian, Luxin Yan
2025	A*	`conf`	Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. CVPR Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian
2025	J	`jnl`	OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning. CoRR Zhiwei Nie, Hongyu Zhang, Hao Jiang, Yutian Liu, Xiansong Huang, Fan Xu, Jie Fu, Zhixiang Ren, Yonghong Tian, Wen-Bin Zhang, Jie Chen
2025	J	`jnl`	One is All: A Unified Rate-Distortion-Complexity Framework for Learned Image Compression Under Energy Concentration Criteria. IEEE Trans. Multim. Chao Li, Tianyi Li, Fanyang Meng, Qingyu Mao, Youneng Bao, Yonghong Tian, Yongsheng Liang
2025	A*	`conf`	PiCO: Peer Review in LLMs based on Consistency Optimization. ICLR Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yonghong Tian, Yibing Song, Li Yuan
2025	J	`jnl`	Privacy-Preserving 3-D Skeleton-Based Video Action Recognition via Graph Convolution Network. IEEE Trans. Consumer Electron. Xuesong Gao, Keqiu Li, Xiulong Liu, Jie Nie, Weiqiang Chen, Yonghong Tian
2025	J	`jnl`	Retain, Blend, and Exchange: A Quality-Aware Spatial-Stereo Fusion Approach for Event Stream Recognition. IEEE Trans. Multim. Lan Chen, Dong Li, Xiao Wang, Pengpeng Shao, Wei Zhang, Yaowei Wang, Yonghong Tian, Jin Tang
2025	J	`jnl`	Retina-Inspired Models Enhance Visual Saliency Prediction. Entropy Gang Shen, Wenjun Ma, Wen Zhai, Xuefei Lv, Guangyao Chen, Yonghong Tian
2025	A*	`conf`	RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing. CVPR Zhipeng Huang, Wangbo Yu, Xinhua Cheng, ChengShu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian
2025	J	`jnl`	SGEMM-cube: Emulating FP32 GEMM on Ascend NPUs Using FP16 Cube Units with Precision Recovery. CoRR Weicheng Xue, Baisong Xu, Kai Yang, Yongxiang Liu, Dengdeng Fan, Pengxiang Xu, Yonghong Tian
2025	J	`jnl`	SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event Based-Recognition. IEEE Trans. Cogn. Dev. Syst. Xiao Wang, Yao Rong, Zongzhen Wu, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian
2025	A*	`conf`	Self-Supervised Learning for Color Spike Camera Reconstruction. CVPR Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2025	J	`jnl`	ShiftLIC: Lightweight Learned Image Compression With Spatial-Channel Shift Operations. IEEE Trans. Circuits Syst. Video Technol. Youneng Bao, Wen Tan, Chuanmin Jia, Mu Li, Yongsheng Liang, Yonghong Tian
2025	J	`jnl`	Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms. CoRR Xiao Wang, Yuehang Li, Fuling Wang, Bo Jiang, Yaowei Wang, Yonghong Tian, Jinhui Tang, Bin Luo
2025	J	`jnl`	Simultaneous Learning Intensity and Optical Flow From High-Speed Spike Stream. IEEE Trans. Circuits Syst. Video Technol. Lin Zhu, Weiquan Yan, Yi Chang, Yonghong Tian, Hua Huang
2025	J	`jnl`	Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CoRR Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian
2025	J	`jnl`	Spatial Re-Parameterization for N:M Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. Yuxin Zhang, Mingbao Lin, Mingliang Xu, Yonghong Tian, Rongrong Ji
2025	J	`jnl`	TaxDiff: taxonomic-guided diffusion model for protein sequence generation. Sci. China Inf. Sci. Zongying Lin, Hao Li, Liuzhenghao Lv, Yu Wang, Bin Lin, Junwu Zhang, Zijun Chen, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian
2025	J	`jnl`	Temporal Triplane Transformers as Occupancy World Models. CoRR Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Yisen Zhao, Yonghong Tian
2025	J	`jnl`	Towards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach. CoRR Shiao Wang, Xiao Wang, Liye Jin, Bo Jiang, Lin Zhu, Lan Chen, Yonghong Tian, Bin Luo
2025	J	`jnl`	Towards Ultra High-Speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling. Int. J. Comput. Vis. Mengyue Geng, Lizhi Wang, Lin Zhu, Wei Zhang, Ruiqin Xiong, Yonghong Tian
2025	J	`jnl`	Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery. CoRR Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Guilin Li, Yixiong Zou, Yonghong Tian, Rongrong Ji
2025	J	`jnl`	Unleashing the Power of CNN and Transformer for Balanced RGB-event Video Recognition. Mach. Intell. Res. Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang
2025	A*	`conf`	VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning. CVPR Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian
2025	A*	`conf`	Visual Reinforcement Learning with Residual Action. AAAI Zhenxian Liu, Peixi Peng, Yonghong Tian
2025	A*	`conf`	When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. ICML Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian
2025	J	`jnl`	When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. CoRR Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian
2025	J	`jnl`	When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework. CoRR Xiao Wang, Qian Zhu, Shujuan Wu, Bo Jiang, Shiliang Zhang, Yaowei Wang, Yonghong Tian, Bin Luo
2024	J	`jnl`	A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training. CoRR Mingjing Li, Huihui Zhou, Xiaofeng Xu, Zhiwei Zhong, Puli Quan, Xueke Zhu, Yanyu Lin, Wenjie Lin, Hongyu Guo, Junchao Zhang, Yunhao Ma, Wei Wang, Qingyan Meng, Zhengyu Ma, Guoqi Li, Xiaoxin Cui, Yonghong Tian
2024	J	`jnl`	A fuzzy logic constrained particle swarm optimization algorithm for industrial design problems. Appl. Soft Comput. Bo Sun, Peixi Peng, Guang Tan, Mingjun Pan, Luntong Li, Yonghong Tian
2024	A*	`conf`	Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
2024	J	`jnl`	Adaptive Discovering and Merging for Incremental Novel Class Discovery. CoRR Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
2024	J	`jnl`	Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation. CoRR Hanyu Zhou, Yi Chang, Zhiwei Shi, Wending Yan, Gang Chen, Yonghong Tian, Luxin Yan
2024	J	`jnl`	Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass
2024	J	`jnl`	CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection. CoRR Mingyi Guo, Yuyang Liu, Zongying Lin, Peixi Peng, Yonghong Tian
2024	J	`jnl`	CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. CoRR Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang
2024	J	`jnl`	Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training. CoRR Xueke Zhu, Wenjie Lin, Yanyu Lin, Wenxiang Cheng, Zhengyu Ma, Yonghong Tian, Huihui Zhou
2024	J	`jnl`	Corrections to "Brain-Inspired Computing: A Systematic Survey and Future Trends". Proc. IEEE Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass
2024	A*	`conf`	DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. CVPR Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian
2024	J	`jnl`	Deep peak property learning for efficient chiral molecules ECD spectra prediction. CoRR Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo
2024	J	`jnl`	Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. CoRR Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian
2024	J	`jnl`	ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. CoRR Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian
2024	A*	`conf`	Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. IJCAI Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
2024	J	`jnl`	Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. CoRR Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
2024	J	`jnl`	EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images. CoRR Wangbo Yu, Chaoran Feng, Jiye Tang, Xu Jia, Li Yuan, Yonghong Tian
2024	J	`jnl`	Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms. CoRR Xiao Wang, Shiao Wang, Pengpeng Shao, Bo Jiang, Lin Zhu, Yonghong Tian
2024	A*	`conf`	Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CVPR Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang
2024	J	`jnl`	Event-Based Monocular Depth Estimation With Recurrent Transformers. IEEE Trans. Circuits Syst. Video Technol. Xu Liu, Jianing Li, Jinqiao Shi, Xiaopeng Fan, Yonghong Tian, Debin Zhao
2024	A*	`conf`	Event-Based Visible and Infrared Fusion via Multi-Task Collaboration. CVPR Mengyue Geng, Lin Zhu, Lizhi Wang, Wei Zhang, Ruiqin Xiong, Yonghong Tian
2024	J	`jnl`	Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. CoRR Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian
2024	J	`jnl`	Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. CoRR Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
2024	A*	`conf`	HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. AAAI Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian
2024	J	`jnl`	HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events. CoRR Dianze Li, Jianing Li, Xu Liu, Zhaokun Zhou, Xiaopeng Fan, Yonghong Tian
2024	—	`conf`	HiFi-123: Towards High-Fidelity One Image to 3D Content Generation. ECCV (73) Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Wenbo Hu, Quan Long, Ying Shan, Yonghong Tian
2024	A*	`conf`	High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. ICML Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li
2024	J	`jnl`	High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. CoRR Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li
2024	J	`jnl`	High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theorem. CoRR Wei Zhang, Weiquan Yan, Yun Zhao, Wenxiang Cheng, Gang Chen, Huihui Zhou, Yonghong Tian
2024	J	`jnl`	HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions. CoRR Haiyang Zhou, Xinhua Cheng, Wangbo Yu, Yonghong Tian, Li Yuan
2024	J	`jnl`	Is Parameter Collision Hindering Continual Learning in LLMs? CoRR Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Yi-Bing Song, Li Yuan
2024	J	`jnl`	Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. CoRR Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian
2024	J	`jnl`	Learnable Central Similarity Quantization for Efficient Image and Video Retrieval. IEEE Trans. Neural Networks Learn. Syst. Li Yuan, Tao Wang, Xiaopeng Zhang, Francis Eng Hock Tay, Zequn Jie, Yonghong Tian, Wei Liu, Jiashi Feng
2024	A*	`conf`	Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli. NeurIPS Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2024	J	`jnl`	Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline. CoRR Xiao Wang, Ju Huang, Shiao Wang, Chuanming Tang, Bo Jiang, Yonghong Tian, Jin Tang, Bin Luo
2024	J	`jnl`	MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
2024	J	`jnl`	Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics. CoRR Zijun Chen, Yu Wang, Liuzhenghao Lv, Hao Li, Zongying Lin, Li Yuan, Yonghong Tian
2024	J	`jnl`	Multirate Progressive Entropy Model for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. Chao Li, Shanzhi Yin, Chuanmin Jia, Fanyang Meng, Yonghong Tian, Yongsheng Liang
2024	J	`jnl`	Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding. CoRR Liuzhenghao Lv, Hao Li, Yu Wang, Zhiyuan Yan, Zijun Chen, Zongying Lin, Li Yuan, Yonghong Tian
2024	J	`jnl`	Network model with internal complexity bridges artificial intelligence and neuroscience. Nat. Comput. Sci. Linxuan He, Yunhui Xu, Weihua He, Yihan Lin, Yang Tian, Yujie Wu, Wenhui Wang, Ziyang Zhang, Junwei Han, Yonghong Tian, Bo Xu, Guoqi Li
2024	J	`jnl`	Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. CoRR Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian
2024	J	`jnl`	Open-Sora Plan: Open-Source Large Video Generation Model. CoRR Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan
2024	Misc	`conf`	Optimal ANN-SNN Conversion with Group Neurons. ICASSP Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian
2024	J	`jnl`	Optimal ANN-SNN Conversion with Group Neurons. CoRR Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian
2024	J	`jnl`	Parsing Objects at a Finer Granularity: A Survey. Mach. Intell. Res. Yifan Zhao, Jia Li, Yonghong Tian
2024	J	`jnl`	Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Trans. Image Process. Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang
2024	J	`jnl`	ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing. CoRR Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian
2024	A*	`conf`	QKFormer: Hierarchical Spiking Transformer using Q-K Attention. NeurIPS Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2024	J	`jnl`	QKFormer: Hierarchical Spiking Transformer using Q-K Attention. CoRR Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2024	J	`jnl`	Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition. CoRR Lan Chen, Dong Li, Xiao Wang, Pengpeng Shao, Wei Zhang, Yaowei Wang, Yonghong Tian, Jin Tang
2024	J	`jnl`	RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing. CoRR Zhipeng Huang, Wangbo Yu, Xinhua Cheng, ChengShu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian
2024	J	`jnl`	SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. CoRR Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2024	A*	`conf`	Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL. NeurIPS Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
2024	J	`jnl`	Self-architectural knowledge distillation for spiking neural networks. Neural Networks Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, Yanqi Chen, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
2024	J	`jnl`	Sensitivity Decouple Learning for Image Compression Artifacts Reduction. CoRR Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian
2024	J	`jnl`	Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Trans. Image Process. Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian
2024	J	`jnl`	Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy. IEEE Trans. Knowl. Data Eng. Guangqiang Xie, Haoran Xu, Jiyuan Xu, Shupeng Zhao, Yang Li, Chang-Dong Wang, Xianbiao Hu, Yonghong Tian
2024	A*	`conf`	Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CVPR Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian
2024	J	`jnl`	Sparse Orthogonal Parameters Tuning for Continual Learning. CoRR Kun-Peng Ning, Hai-Jian Ke, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Li Yuan
2024	J	`jnl`	Spatial-Temporal Search for Spiking Neural Networks. CoRR Kaiwei Che, Zhaokun Zhou, Li Yuan, Jianguo Zhang, Yonghong Tian, Luziwei Leng
2024	J	`jnl`	Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. CoRR Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian
2024	A*	`conf`	Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. ICLR Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li
2024	J	`jnl`	Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. CoRR Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li
2024	J	`jnl`	Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. CoRR Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan
2024	J	`jnl`	State Space Model for New-Generation Network Alternative to Transformers: A Survey. CoRR Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang
2024	J	`jnl`	Sustainable Distributed Adaptive Platoon in Multi-Agent Mobile-Edge Computing Networks for Lane Reduction Scenario. IEEE Trans. Intell. Transp. Syst. Guangqiang Xie, Biwei Zhong, Haoran Xu, Yang Li, Xianbiao Hu, Zhihao Jiang, Yonghong Tian
2024	J	`jnl`	TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation. CoRR Zongying Lin, Hao Li, Liuzhenghao Lv, Bin Lin, Junwu Zhang, Calvin Yu-Chian Chwn, Li Yuan, Yonghong Tian
2024	—	`conf`	Temporal Contrastive Learning for Spiking Neural Networks. ICANN (10) Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
2024	J	`jnl`	The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Trans. Dependable Secur. Comput. Zhiyi Tian, Lei Cui, Chenhan Zhang, Shuaishuai Tan, Shui Yu, Yonghong Tian
2024	J	`jnl`	Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics. CoRR Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2024	J	`jnl`	Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution. IEEE Trans. Pattern Anal. Mach. Intell. Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji
2024	J	`jnl`	Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen
2024	J	`jnl`	Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
2024	A	`conf`	Unlocking High Performance with Low-Bit NPUs and CPUs for Highly Optimized HPL-MxP on Cloud Brain II. SC Weicheng Xue, Kai Yang, Yongxiang Liu, Dengdong Fan, Pengxiang Xu, Yonghong Tian
2024	J	`jnl`	Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity. IEEE Trans. Pattern Anal. Mach. Intell. Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian
2024	J	`jnl`	VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition. CoRR Lan Chen, Haoxiang Yang, Pengpeng Shao, Haoyu Song, Xiao Wang, Zhi-Cheng Zhao, Yaowei Wang, Yonghong Tian
2024	J	`jnl`	ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis. CoRR Wangbo Yu, Jinbo Xing, Li Yuan, Wenbo Hu, Xiaoyu Li, Zhipeng Huang, Xiangjun Gao, Tien-Tsin Wong, Ying Shan, Yonghong Tian
2024	J	`jnl`	VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. IEEE Trans. Cybern. Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu
2023	J	`jnl`	1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji
2023	J	`jnl`	A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment. IEEE Trans. Knowl. Data Eng. Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou, Yonghong Tian
2023	A*	`conf`	A Unified Framework for Soft Threshold Pruning. ICLR Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023	J	`jnl`	A Unified Framework for Soft Threshold Pruning. CoRR Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023	J	`jnl`	Album Storytelling with Iterative Story-aware Captioning and Large Language Models. CoRR Munan Ning, Yujia Xie, Dongdong Chen, Zeyin Song, Lu Yuan, Yonghong Tian, Qixiang Ye, Li Yuan
2023	J	`jnl`	Asynchronous Spatiotemporal Spike Metric for Event Cameras. IEEE Trans. Neural Networks Learn. Syst. Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tie-Jun Huang, Yonghong Tian
2023	J	`jnl`	Attention Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li
2023	J	`jnl`	Auto-Spikformer: Spikformer Architecture Search. CoRR Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian
2023	J	`jnl`	Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji
2023	A*	`conf`	Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. AAAI Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2023	J	`jnl`	Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. CoRR Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
2023	J	`jnl`	Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. CoRR Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2023	J	`jnl`	Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
2023	J	`jnl`	Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian
2023	J	`jnl`	Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning. CoRR Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian
2023	A*	`conf`	Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. IJCAI Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian
2023	J	`jnl`	Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. CoRR Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian
2023	J	`jnl`	Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CoRR Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang
2023	A*	`conf`	Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models. ACM Multimedia Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian
2023	J	`jnl`	From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian
2023	J	`jnl`	HiFi-123: Towards High-fidelity One Image to 3D Content Generation. CoRR Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Long Quan, Ying Shan, Yonghong Tian
2023	A*	`conf`	Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning. NeurIPS Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian
2023	A*	`conf`	HumVis: Human-Centric Visual Analysis System. ACM Multimedia Dongkai Wang, Shiliang Zhang, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao
2023	A*	`conf`	Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023	J	`jnl`	Knowledge Prompt-tuning for Sequential Recommendation. CoRR Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023	J	`jnl`	Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey. CoRR Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, Wen Gao
2023	J	`jnl`	Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey. Mach. Intell. Res. Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, Wen Gao
2023	—	`conf`	Learning Sparse Neural Networks with Identity Layers. ICIG (3) Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
2023	J	`jnl`	Learning Sparse Neural Networks with Identity Layers. CoRR Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
2023	J	`jnl`	Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Trans. Circuits Syst. Video Technol. Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tie-Jun Huang, Yonghong Tian
2023	A*	`conf`	Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CVPR Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian
2023	J	`jnl`	Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CoRR Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian
2023	A*	`conf`	LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian
2023	J	`jnl`	MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
2023	J	`jnl`	MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
2023	J	`jnl`	MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. IEEE Trans. Multim. Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
2023	J	`jnl`	Machine Mindset: An MBTI Exploration of Large Language Models. CoRR Jiaxi Cui, Liuzhenghao Lv, Jing Wen, Rongsheng Wang, Jing Tang, Yonghong Tian, Li Yuan
2023	A*	`conf`	Meta Architecture for Point Cloud Analysis. CVPR Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
2023	J	`jnl`	MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
2023	A*	`conf`	Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. ACM Multimedia Wenrui Li, Xi-Le Zhao, Zhengyu Ma, Xingtao Wang, Xiaopeng Fan, Yonghong Tian
2023	J	`jnl`	Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Xiaopeng Fan, Yonghong Tian
2023	J	`jnl`	Nonlinear Transforms in Learned Image Compression From a Communication Perspective. IEEE Trans. Circuits Syst. Video Technol. Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang
2023	A*	`conf`	Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023	J	`jnl`	Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023	J	`jnl`	Picking Up Quantization Steps for Compressed Image Classification. CoRR Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian
2023	J	`jnl`	Picking Up Quantization Steps for Compressed Image Classification. IEEE Trans. Circuits Syst. Video Technol. Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian
2023	J	`jnl`	Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. CoRR Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian
2023	J	`jnl`	Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. Int. J. Comput. Vis. Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian
2023	J	`jnl`	Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li
2023	J	`jnl`	Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian
2023	J	`jnl`	SODFormer: Streaming Object Detection With Transformer Using Events and Frames. IEEE Trans. Pattern Anal. Mach. Intell. Dianze Li, Yonghong Tian, Jianing Li
2023	J	`jnl`	SODFormer: Streaming Object Detection with Transformer Using Events and Frames. CoRR Dianze Li, Jianing Li, Yonghong Tian
2023	J	`jnl`	SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. CoRR Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian
2023	J	`jnl`	Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen
2023	A*	`conf`	Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. ICCV Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian
2023	A*	`conf`	Spike-driven Transformer. NeurIPS Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li
2023	J	`jnl`	Spike-driven Transformer. CoRR Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li
2023	A*	`conf`	Spikformer: When Spiking Neural Network Meets Transformer. ICLR Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan
2023	J	`jnl`	SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
2023	J	`jnl`	Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. CoRR Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian
2023	A*	`conf`	Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. ICCV Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian
2023	J	`jnl`	Temporal Contrastive Learning for Spiking Neural Networks. CoRR Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian
2023	J	`jnl`	Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian
2023	J	`jnl`	Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model. IEEE Trans. Pattern Anal. Mach. Intell. Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian
2023	J	`jnl`	Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. CoRR Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang
2022	J	`jnl`	1000x Faster Camera and Machine Vision with Ordinary Devices. CoRR 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
2022	J	`jnl`	Adversarial Reciprocal Points Learning for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian
2022	J	`jnl`	Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection. CoRR Lantian Xue, Yixiong Zou, Peixi Peng, Yonghong Tian, Tiejun Huang
2022	J	`jnl`	Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection. IEEE Trans. Image Process. Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian
2022	J	`jnl`	Attention Spiking Neural Networks. CoRR Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li
2022	—	`conf`	ConformerDTI: Local Features Coupling Global Representations for Drug-Target Interaction Prediction. BIBM Tianyu Wang, Wenming Yang, Jie Chen, Yonghong Tian, Dong-Qing Wei
2022	J	`jnl`	Deep Reinforcement Learning with Spiking Q-learning. CoRR Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian
2022	J	`jnl`	Event-based Monocular Dense Depth Estimation with Recurrent Transformers. CoRR Xu Liu, Jianing Li, Xiaopeng Fan, Yonghong Tian
2022	A*	`conf`	Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CVPR Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian
2022	J	`jnl`	Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CoRR Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian
2022	J	`jnl`	Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
2022	J	`jnl`	Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji
2022	A*	`conf`	Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
2022	J	`jnl`	Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian
2022	J	`jnl`	HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. CoRR Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian
2022	A*	`conf`	IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
2022	A	`conf`	Learning Stereo Depth Estimation with Bio-Inspired Spike Cameras. ICME Yixuan Wang, Jianing Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian
2022	A*	`conf`	Learning Visible Surface Area Estimation for Irregular Objects. ACM Multimedia Xu Liu, Jianing Li, Xianqi Zhang, Jingyuan Sun, Xiaopeng Fan, Yonghong Tian
2022	—	`conf`	Masked Autoencoders for Point Cloud Self-supervised Learning. ECCV (2) Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan
2022	J	`jnl`	Masked Autoencoders for Point Cloud Self-supervised Learning. CoRR Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan
2022	J	`jnl`	Meta Architecure for Point Cloud Analysis. CoRR Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
2022	J	`jnl`	Million-scale Object Detection with Large Vision Model. CoRR Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang
2022	Misc	`conf`	Modeling The Detection Capability Of High-Speed Spiking Cameras. ICASSP Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang
2022	A*	`conf`	Neural Architecture Search with Representation Mutual Information. CVPR Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji
2022	J	`jnl`	Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu
2022	J	`jnl`	Optimized separable convolution: Yet another efficient convolution operator. AI Open Tao Wei, Yonghong Tian, Yaowei Wang, Yun Liang, Chang Wen Chen
2022	J	`jnl`	Parsing Objects at a Finer Granularity: A Survey. CoRR Yifan Zhao, Jia Li, Yonghong Tian
2022	J	`jnl`	Part-guided Relational Transformers for Fine-grained Visual Recognition. CoRR Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian
2022	A	`conf`	PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. DATE Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian
2022	J	`jnl`	PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. CoRR Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian
2022	A*	`conf`	Retinomorphic Object Detection in Asynchronous Visual Streams. AAAI Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian
2022	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2022	J	`jnl`	Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric. CoRR Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang, Yaowei Wang, Yonghong Tian
2022	J	`jnl`	Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. IEEE Trans. Multim. Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tie-Jun Huang, Yonghong Tian
2022	A*	`conf`	Spectrum Random Masking for Generalization in Image-based Reinforcement Learning. NeurIPS Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
2022	J	`jnl`	Spikformer: When Spiking Neural Network Meets Transformer. CoRR Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan
2022	A*	`conf`	State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. ICML Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian
2022	A	`conf`	Temporal Up-Sampling for Asynchronous Events. ICME Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang
2022	J	`jnl`	Temporal Up-Sampling for Asynchronous Events. CoRR Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang
2022	J	`jnl`	Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach. IEEE Trans. Neural Networks Learn. Syst. Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
2022	A*	`conf`	Training-free Transformer Architecture Search. CVPR Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
2022	J	`jnl`	Training-free Transformer Architecture Search. CoRR Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
2022	J	`jnl`	Transformations in Learned Image Compression from a Modulation Perspective. CoRR Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang
2022	J	`jnl`	Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity. CoRR Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian
2022	A*	`conf`	Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. CVPR Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian
2022	J	`jnl`	Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. CoRR Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian
2021	—	`conf`	Adaptive Multi-Scale Semantic Fusion Network For Zero-Shot Learning. ICME Workshops Jing Song, Peixi Peng, Yunpeng Zhai, Chong Zhang, Yonghong Tian
2021	J	`jnl`	Adversarial Reciprocal Points Learning for Open Set Recognition. CoRR Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian
2021	Misc	`conf`	Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. ICASSP Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. ICCV Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian
2021	J	`jnl`	Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. CoRR Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian
2021	J	`jnl`	An Information Theory-inspired Strategy for Automatic Network Pruning. CoRR Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji
2021	A*	`conf`	Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura
2021	J	`jnl`	Carrying out CNN Channel Pruning in a White Box. CoRR Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji
2021	Misc	`conf`	Collaborative Intelligence: Challenges and Opportunities. ICASSP Ivan V. Bajic, Weisi Lin, Yonghong Tian
2021	J	`jnl`	Collaborative Intelligence: Challenges and Opportunities. CoRR Ivan V. Bajic, Weisi Lin, Yonghong Tian
2021	A*	`conf`	Deep Residual Learning in Spiking Neural Networks. NeurIPS Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
2021	J	`jnl`	Digital Retina: A Way to Make the City Brain More Efficient by Visual Coding. IEEE Trans. Circuits Syst. Video Technol. Wen Gao, Siwei Ma, Lingyu Duan, Yonghong Tian, Peiyin Xing, Yaowei Wang, Shanshe Wang, Huizhu Jia, Tiejun Huang
2021	J	`jnl`	Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
2021	J	`jnl`	Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
2021	J	`jnl`	Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking. CoRR Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
2021	—	`conf`	Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute Recognition. ICME Workshops Xuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	Heterogeneous Relational Complement for Vehicle Re-identification. ICCV Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian
2021	J	`jnl`	Heterogeneous Relational Complement for Vehicle Re-identification. CoRR Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian
2021	A*	`conf`	High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras. CVPR Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang
2021	A*	`conf`	How to Learn a Domain-Adaptive Event Simulator? ACM Multimedia Daxin Gu, Jia Li, Yu Zhang, Yonghong Tian
2021	J	`jnl`	Hybrid Coding of Spatiotemporal Spike Data for a Bio-Inspired Camera. IEEE Trans. Circuits Syst. Video Technol. Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist. IEEE Trans. Geosci. Remote. Sens. Yi Chang, Luxin Yan, Bingling Chen, Sheng Zhong, Yonghong Tian
2021	A*	`conf`	Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji
2021	J	`jnl`	Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. Jipeng Wu, Haibo Xu, Shengchuan Zhang, Xi Li, Jie Chen, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji
2021	—	`conf`	Learnable Oriented-Derivative Network for Polyp Segmentation. MICCAI (1) Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen
2021	J	`jnl`	Lottery Jackpots Exist in Pre-trained Models. CoRR Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji
2021	J	`jnl`	MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. CoRR Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
2021	J	`jnl`	MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian
2021	A*	`conf`	Matching on Sets: Conquer Occluded Person Re-identification Without Alignment. AAAI Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang
2021	J	`jnl`	Motion-Aware Structured Matrix Factorization for Foreground Detection in Complex Scenes. ACM Trans. Multim. Comput. Commun. Appl. Lin Zhu, Xiurong Jiang, Jianing Li, Yuanhong Hao, Yonghong Tian
2021	A*	`conf`	NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. ICCV Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. IJCAI Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2021	J	`jnl`	Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. CoRR Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2021	J	`jnl`	Ordinal Multi-Task Part Segmentation With Recurrent Prior Generation. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhao, Jia Li, Yu Zhang, Yafei Song, Yonghong Tian
2021	A	`conf`	PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks. WACV Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu, Yonghong Tian
2021	J	`jnl`	PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
2021	J	`jnl`	Part-Guided Relational Transformers for Fine-Grained Visual Recognition. IEEE Trans. Image Process. Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian
2021	J	`jnl`	Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji
2021	A*	`conf`	Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
2021	J	`jnl`	ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji
2021	B	`conf`	Reducing Image Compression Artifacts for Deep Neural Networks. DCC Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian
2021	A*	`conf`	Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing. ACM Multimedia Zhaodong Kang, Jianing Li, Lin Zhu, Yonghong Tian
2021	A*	`conf`	Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. ACM Multimedia Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura
2021	J	`jnl`	Salient Object Detection With Purificatory Mechanism and Structural Similarity Loss. IEEE Trans. Image Process. Jia Li, Jinming Su, Changqun Xia, Mingcan Ma, Yonghong Tian
2021	B	`conf`	Short Video Performance Evaluation of AV1 Coding Tools. DCC Peiyin Xing, Yangang Cai, Xufeng Li, Yonghong Tian
2021	J	`jnl`	Spike Camera and Its Coding Methods. CoRR Siwei Dong, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Spike-based Residual Blocks. CoRR Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian
2021	A*	`conf`	Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. CVPR Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
2021	J	`jnl`	Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark. CoRR Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
2021	J	`jnl`	Tracking by Joint Local and Global Search: A Target-aware Attention based Approach. CoRR Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
2021	J	`jnl`	Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. CoRR Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian
2021	J	`jnl`	Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian
2021	J	`jnl`	VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. CoRR Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu
2020	J	`jnl`	A Convolutional Long Short-Term Memory Neural Network Based Prediction Model. Int. J. Comput. Commun. Control Yonghong Tian, Qi Wu, Yue Zhang
2020	A*	`conf`	AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. CVPR Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian
2020	J	`jnl`	AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification. CoRR Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian
2020	J	`jnl`	Adaptation-Oriented Feature Projection for One-Shot Action Recognition. IEEE Trans. Multim. Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian
2020	J	`jnl`	Annotation-Efficient Untrimmed Video Action Recognition. CoRR Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura
2020	—	`conf`	Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang
2020	—	`conf`	BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. MICCAI (5) 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	B	`conf`	Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. DCC Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian
2020	A*	`conf`	Channel Pruning via Automatic Structure Search. IJCAI Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
2020	J	`jnl`	Channel Pruning via Automatic Structure Search. CoRR Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
2020	A*	`conf`	Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura
2020	J	`jnl`	Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian
2020	A*	`conf`	Cooperative Bi-path Metric for Few-shot Learning. ACM Multimedia Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian
2020	J	`jnl`	Cooperative Bi-path Metric for Few-shot Learning. CoRR Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian
2020	A*	`conf`	Discriminative Spatial Feature Learning for Person Re-Identification. ACM Multimedia Peixi Peng, Yonghong Tian, Yangru Huang, Xiangqian Wang, Huilong An
2020	J	`jnl`	Distortion-Adaptive Salient Object Detection in 360° Omnidirectional Images. IEEE J. Sel. Top. Signal Process. Jia Li, Jinming Su, Changqun Xia, Yonghong Tian
2020	—	`conf`	End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. MIPR Peiyin Xing, Yaowei Wang, Peixi Peng, Yonghong Tian, Tiejun Huang
2020	J	`jnl`	Fast Class-wise Updating for Online Hashing. CoRR Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao
2020	J	`jnl`	Filter Sketch for Network Pruning. CoRR Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian
2020	J	`jnl`	GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems. IEEE Trans. Netw. Sci. Eng. Youyang Qu, Shui Yu, Wanlei Zhou, Yonghong Tian
2020	A	`conf`	Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition. WACV Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian
2020	J	`jnl`	Guest Editorial Multimedia Computing With Interpretable Machine Learning. IEEE Trans. Multim. Yonghong Tian, Cees G. M. Snoek, Jingdong Wang, Zhu Liu, Rainer Lienhart, Susanne Boll
2020	A*	`conf`	HRank: Filter Pruning Using High-Rank Feature Map. CVPR Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
2020	J	`jnl`	HRank: Filter Pruning using High-Rank Feature Map. CoRR Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao
2020	J	`jnl`	Intrinsic Relationship Reasoning for Small Object Detection. CoRR Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian
2020	J	`jnl`	Joint Coding of Local and Global Deep Features in Videos for Visual Search. IEEE Trans. Image Process. Lin Ding, Yonghong Tian, Hongfei Fan, Changhuai Chen, Tiejun Huang
2020	—	`conf`	Learning Compact Networks via Similarity-Aware Channel Pruning. MIPR Quan Zhang, Yemin Shi, Lechun Zhang, Yaowei Wang, Yonghong Tian
2020	—	`conf`	Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
2020	J	`jnl`	Learning Open Set Network with Discriminative Reciprocal Points. CoRR Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
2020	A*	`conf`	Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking. ACM Multimedia Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian
2020	A*	`conf`	Masked Face Recognition with Latent Part Detection. ACM Multimedia Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian
2020	J	`jnl`	Model-Guided Multi-Path Knowledge Aggregation for Aerial Saliency Prediction. IEEE Trans. Image Process. Kui Fu, Jia Li, Yu Zhang, Hongze Shen, Yonghong Tian
2020	A*	`conf`	Multimedia Intelligence: When Multimedia Meets Artificial Intelligence. ACM Multimedia Xin Wang, Wenwu Zhu, Yonghong Tian, Wen Gao
2020	—	`conf`	Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification. ECCV (7) Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian
2020	J	`jnl`	Multiple Expert Brainstorming for Domain Adaptive Person Re-identification. CoRR Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian
2020	J	`jnl`	Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian
2020	—	`conf`	Prune it Yourself: Automated Pruning by Multiple Level Sensitivity. MIPR Zhaoyi Yan, Peiyin Xing, Yaowei Wang, Yonghong Tian
2020	—	`conf`	R-SiamNet: ROI-Align Pooling Baesd Siamese Network for Object Tracking. MIPR Lihui Su, Yaowei Wang, Yonghong Tian
2020	J	`jnl`	Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu
2020	A*	`conf`	Rethinking Performance Estimation in Neural Architecture Search. CVPR Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2020	J	`jnl`	Rethinking Performance Estimation in Neural Architecture Search. CoRR Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2020	A*	`conf`	Retina-Like Visual Image Reconstruction via Spiking Neural Model. CVPR Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian
2020	J	`jnl`	Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. CoRR Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian
2020	J	`jnl`	SEKD: Self-Evolving Keypoint Detection and Description. CoRR Yafei Song, Ling Cai, Jia Li, Yonghong Tian, Mingyang Li
2020	J	`jnl`	Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. CoRR Zongxian Li, Qixiang Ye, Chong Zhang, Jingjing Liu, Shijian Lu, Yonghong Tian
2020	A*	`conf`	Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. AAAI Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian
2020	J	`jnl`	Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications. IEEE Multim. Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El Saddik
2019	A*	`conf`	2D LiDAR Map Prediction via Estimating Motion Flow with GRU. ICRA Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li
2019	J	`jnl`	2D LiDAR Map Prediction via Estimating Motion Flow with GRU. CoRR Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li
2019	C	`conf`	3D Human Skeleton Data Compression for Action Recognition. VCIP Sheng Li, Tingting Jiang, Yonghong Tian, Tiejun Huang
2019	A	`conf`	A Retina-Inspired Sampling Method for Visual Texture Reconstruction. ICME Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian
2019	J	`jnl`	A Retina-inspired Sampling Method for Visual Texture Reconstruction. CoRR Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian
2019	B	`conf`	An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals. DCC Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang
2019	J	`jnl`	An Efficient Coding Method for Spike Camera using Inter-Spike Intervals. CoRR Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang
2019	—	`conf`	Bi-directional Re-ranking for Person Re-identification. MIPR Yiqian Chang, Yemin Shi, Yaowei Wang, Yonghong Tian
2019	J	`jnl`	Distortion-adaptive Salient Object Detection in 360° Omnidirectional Images. CoRR Jia Li, Jinming Su, Changqun Xia, Yonghong Tian
2019	B	`conf`	Efficient and Fast Coefficient Sign Inference for Video Coding. DCC Daoyuan Xu, Peiyin Xing, Yaowei Wang, Yonghong Tian
2019	A	`conf`	Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving. ICME Jianing Li, Siwei Dong, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2019	J	`jnl`	Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning. CoRR Changqun Xia, Jia Li, Jinming Su, Yonghong Tian
2019	J	`jnl`	Hierarchical Deep Cosegmentation of Primary Objects in Aerial Videos. IEEE Multim. Jia Li, Pengcheng Yuan, Daxin Gu, Yonghong Tian
2019	A	`conf`	Learning Local Feature Descriptor with Motion Attribute For Vision-based Localization. IROS Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li
2019	J	`jnl`	Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization. CoRR Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li
2019	A*	`conf`	Multi-Class Part Parsing With Joint Boundary-Semantic Awareness. ICCV Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian
2019	J	`jnl`	Multiscale video sequence matching for near-duplicate detection and retrieval. Multim. Tools Appl. Yuanyuan Yang, Yonghong Tian, Tiejun Huang
2019	J	`jnl`	ODN: Opening the Deep Network for Open-set Action Recognition. CoRR Yu Shu, Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian
2019	J	`jnl`	P-ODN: Prototype based Open Deep Network for Open Set Recognition. CoRR Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian
2019	A*	`conf`	Part-Regularized Near-Duplicate Vehicle Re-Identification. CVPR Bing He, Jia Li, Yifan Zhao, Yonghong Tian
2019	J	`jnl`	Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian
2019	J	`jnl`	Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
2019	J	`jnl`	Residual-Based Post-Processing for HEVC. IEEE Multim. Li Ma, Yonghong Tian, Peiyin Xing, Tiejun Huang
2019	J	`jnl`	Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss. CoRR Jia Li, Jinming Su, Changqun Xia, Yonghong Tian
2019	A*	`conf`	Selectivity or Invariance: Boundary-Aware Salient Object Detection. ICCV Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian
2019	C	`conf`	Semi-Siamese Network for Content-Based Video Relevance Prediction. ISCAS Zongxian Li, Sheng Li, Lantian Xue, Yonghong Tian
2019	J	`jnl`	Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor. IEEE Access Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang
2019	J	`jnl`	Spike Coding for Dynamic Vision Sensor in Intelligent Driving. IEEE Internet Things J. Siwei Dong, Zhichao Bi, Yonghong Tian, Tiejun Huang
2019	B	`conf`	Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor. DCC Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian, Tiejun Huang
2019	A*	`conf`	Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. ICCV Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang
2019	J	`jnl`	Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. CoRR Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian
2018	J	`jnl`	A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. CoRR Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang
2018	J	`jnl`	Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	A*	`conf`	Cross-Domain Adversarial Feature Learning for Sketch Re-identification. ACM Multimedia Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, Yonghong Tian
2018	—	`conf`	Deep Transfer Learning for Person Re-Identification. BigMM Haoran Chen, Yaowei Wang, Yemin Shi, Ke Yan, Mengyue Geng, Yonghong Tian, Tao Xiang
2018	—	`conf`	Fast Compressed Domain Copy Detection with Motion Vector Imaging. MIPR Yuanyuan Yang, Yixiong Zou, Yemin Shi, Qingsheng Yuan, Yaowei Wang, Yonghong Tian
2018	A*	`conf`	Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. NeurIPS Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
2018	A	`conf`	Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition. ICME Yixiong Zou, Yemin Shi, Yaowei Wang, Yu Shu, Qingsheng Yuan, Yonghong Tian
2018	J	`jnl`	How Drones Look: Crowdsourced Knowledge Transfer for Aerial Video Saliency Prediction. CoRR Kui Fu, Jia Li, Hongze Shen, Yonghong Tian
2018	J	`jnl`	Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Trans. Pattern Anal. Mach. Intell. Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang
2018	—	`conf`	Multi-Pose Learning based Head-Shoulder Re-identification. MIPR Jia Li, Yunpeng Zhai, Yaowei Wang, Yemin Shi, Yonghong Tian
2018	A	`conf`	ODN: Opening the Deep Network for Open-Set Action Recognition. ICME Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian, Yu Shu
2018	J	`jnl`	PA-Search: Predicting units adaptive motion search for surveillance video coding. Comput. Vis. Image Underst. Yonghong Tian, Jiaying Yan, Siwei Dong, Tiejun Huang
2018	J	`jnl`	Primary Object Segmentation in Aerial Videos via Hierarchical Temporal Slicing and Co-Segmentation. CoRR Pengcheng Yuan, Jia Li, Daxin Gu, Yonghong Tian
2018	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	A	`conf`	SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization. ICME Zongxian Li, Yemin Shi, Yonghong Tian, Wei Zeng, Yaowei Wang
2018	J	`jnl`	Selectivity or Invariance: Boundary-aware Salient Object Detection. CoRR Jinming Su, Jia Li, Changqun Xia, Yonghong Tian
2018	B	`conf`	Spike Coding for Dynamic Vision Sensors. DCC Zhichao Bi, Siwei Dong, Yonghong Tian, Tiejun Huang
2018	A	`conf`	Temporal Attentive Network for Action Recognition. ICME Yemin Shi, Yonghong Tian, Tiejun Huang, Yaowei Wang
2018	—	`conf`	Toward Efficient Simultaneous Detection and Segmentation. BigMM Chong Zhang, Zongxian Li, Qiong Liu, Yonghong Tian, Wei Zeng, Yaowei Wang, Wenbai Chen
2018	J	`jnl`	Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. CoRR Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
2017	—	`conf`	A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC. ICME Workshops Jiaying Yan, Yonghong Tian, Yaowei Wang, Siwei Dong, Tiejun Huang
2017	—	`conf`	Deep hashing with mixed supervised losses for image search. ICME Workshops Dawei Liang, Ke Yan, Wei Zeng, Yaowei Wang, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian
2017	—	`conf`	Deep hashing with multi-task learning for large-scale instance-level vehicle search. ICME Workshops Dawei Liang, Ke Yan, Yaowei Wang, Wei Zeng, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian
2017	A*	`conf`	Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles. ICCV Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang
2017	—	`conf`	Image Saliency Analysis Based on Retina Simulation. BigMM Shu Fang, Yang Yue, Liuyuan He, Kai Du, Yonghong Tian, Tiejun Huang
2017	J	`jnl`	Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis. IEEE Trans. Neural Networks Learn. Syst. Shu Fang, Jia Li, Yonghong Tian, Tiejun Huang, Xiaowu Chen
2017	A*	`conf`	Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. ICCV Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang
2017	J	`jnl`	Learning a Repression Network for Precise Vehicle Search. CoRR Qiantong Xu, Ke Yan, Yonghong Tian
2017	J	`jnl`	Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos. IEEE Trans. Image Process. Lin Ding, Yonghong Tian, Hongfei Fan, Yaowei Wang, Tiejun Huang
2017	B	`conf`	Search video action proposal with recurrent and static YOLO. ICIP Romain Vial, Hongyuan Zhu, Yonghong Tian, Shijian Lu
2017	J	`jnl`	Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN. IEEE Trans. Multim. Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2017	B	`conf`	Spike Camera and Its Coding Methods. DCC Siwei Dong, Tiejun Huang, Yonghong Tian
2017	J	`jnl`	Towards human-like and transhuman perception in AI 2.0: a review. Frontiers Inf. Technol. Electron. Eng. Yonghong Tian, Xilin Chen, Hongkai Xiong, Hong-Liang Li, Li-Rong Dai, Jing Chen, Junliang Xing, Jing Chen, Xihong Wu, Weiming Hu, Yu Hu, Tiejun Huang, Wen Gao
2017	J	`jnl`	YoTube: Searching Action Proposal via Recurrent and Static Regression Networks. CoRR Hongyuan Zhu, Romain Vial, Shijian Lu, Yonghong Tian, Xianbin Cao
2016	A*	`conf`	CNN vs. SIFT for Image Retrieval: Alternative or Complementary? ACM Multimedia Ke Yan, Yaowei Wang, Dawei Liang, Tiejun Huang, Yonghong Tian
2016	—	`conf`	CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning. BigMM Mengyue Geng, Yaowei Wang, Yonghong Tian, Tiejun Huang
2016	A*	`conf`	Deep Relative Distance Learning: Tell the Difference between Similar Vehicles. CVPR Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, Tiejun Huang
2016	J	`jnl`	Deep Transfer Learning for Person Re-identification. CoRR Mengyue Geng, Yaowei Wang, Tao Xiang, Yonghong Tian
2016	J	`jnl`	Fixed-point Gaussian Mixture Model for analysis-friendly surveillance video coding. Comput. Vis. Image Underst. Wei Chen, Yonghong Tian, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	Guest Editors' Introduction. Int. J. Semantic Comput. Min Chen, Leonel Sousa, Yonghong Tian
2016	—	`conf`	High-Efficiency Coding for Shaking Surveillance Videos Based on Global Motion Compensation. BigMM Lin Ding, Yonghong Tian, Hongfei Fan, Yaowei Wang, Tiejun Huang
2016	—	`conf`	Joint Learning of Semantic and Latent Attributes. ECCV (4) Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	Joint Network based Attention for Action Recognition. CoRR Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation. Int. J. Comput. Vis. Jia Li, Yonghong Tian, Xiaowu Chen, Tiejun Huang
2016	J	`jnl`	Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN. CoRR Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2016	J	`jnl`	Ubiquitous Multimedia: Emerging Research on Multimedia Computing. IEEE Multim. Yonghong Tian, Min Chen, Leonel Sousa
2016	A*	`conf`	Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian
2016	J	`jnl`	shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing. CoRR Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang
2015	—	`conf`	Detecting Rare Actions and Events from Surveillance Big Data with Bag of Dynamic Trajectories. BigMM Yaowei Wang, Yonghong Tian, Limin Su, Xiaoyu Fang, Ziwei Xia, Tiejun Huang
2015	A	`conf`	Detecting abnormal behaviors in surveillance videos based on fuzzy clustering and multiple Auto-Encoders. ICME Zhengying Chen, Yonghong Tian, Wei Zeng, Tiejun Huang
2015	J	`jnl`	Finding the Secret of Image Saliency in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. Jia Li, Ling-Yu Duan, Xiaowu Chen, Tiejun Huang, Yonghong Tian
2015	J	`jnl`	Guest Editorial Multimedia: The Biggest Big Data. IEEE Trans. Multim. Shu-Ching Chen, Ramesh C. Jain, Yonghong Tian, Haohong Wang
2015	B	`conf`	Image deblurring using robust sparsity priors. ICIP Xinxin Zhang, Ronggang Wang, Yonghong Tian, Wenmin Wang, Wen Gao
2015	J	`jnl`	Image saliency estimation via random walk guided by informativeness and latent signal correlations. Signal Process. Image Commun. Jia Li, Shu Fang, Yonghong Tian, Tiejun Huang, Xiaowu Chen
2015	J	`jnl`	Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes. Int. J. Comput. Vis. Yonghong Tian, Jia Li, Shui Yu, Tiejun Huang
2015	J	`jnl`	Multimedia Big Data. IEEE Multim. Yonghong Tian, Shu-Ching Chen, Mei-Ling Shyu, Tiejun Huang, Phillip C.-Y. Sheu, Alberto Del Bimbo
2015	—	`conf`	Performance Evaluation for AVS2 Scene Video Coding Techniques. BigMM Siwei Dong, Yonghong Tian, Tiejun Huang
2015	C	`conf`	Quality-progressive coding for high bit-rate background frames on surveillance videos. ISCAS Shaoge Guo, Yaowei Wang, Yonghong Tian, Peiyin Xing, Wen Gao
2015	J	`jnl`	Robust multiple cameras pedestrian detection with multi-view Bayesian network. Pattern Recognit. Peixi Peng, Yonghong Tian, Yaowei Wang, Jia Li, Tiejun Huang
2015	A*	`conf`	Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification. AAAI Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang
2015	J	`jnl`	TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection. ACM Trans. Inf. Syst. Yonghong Tian, Mengren Qian, Tiejun Huang
2014	C	`conf`	A refined object detection method based on HTM. VCIP Hongye Liu, Taiyin Zhao, Yaowei Wang, Yonghong Tian
2014	J	`jnl`	Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding. IEEE Trans. Image Process. Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao
2014	A	`conf`	Background-foreground division based search for motion estimation in surveillance video coding. ICME Long Zhao, Yonghong Tian, Tiejun Huang
2014	J	`jnl`	Can We Beat DDoS Attacks in Clouds? IEEE Trans. Parallel Distributed Syst. Shui Yu, Yonghong Tian, Song Guo, Dapeng Oliver Wu
2014	J	`jnl`	Guest Editorial. J. Multim. Yonghong Tian, Shui Yu, Chin-Yung Lin, Wen Gao, Wanlei Zhou
2014	A	`conf`	Multi-view gait recognition with incomplete training data. ICME Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang
2014	J	`jnl`	Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling. IEEE Trans. Image Process. Xianguo Zhang, Yonghong Tian, Tiejun Huang, Siwei Dong, Wen Gao
2014	A*	`conf`	Quality Assessment for Comparing Image Enhancement Algorithms. CVPR Zhengying Chen, Tingting Jiang, Yonghong Tian
2014	J	`jnl`	Representing Visual Objects in HEVC Coding Loop. IEEE J. Emerg. Sel. Topics Circuits Syst. Tiejun Huang, Siwei Dong, Yonghong Tian
2014	J	`jnl`	The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems. IEEE Intell. Syst. Wen Gao, Yonghong Tian, Tiejun Huang, Siwei Ma, Xianguo Zhang
2014	—	`conf`	Video picture-in-picture detection using spatio-temporal slicing. ICME Workshops Mengren Qian, Luntian Mou, Jia Li, Yonghong Tian
2014	J	`jnl`	Visual Saliency with Statistical Priors. Int. J. Comput. Vis. Jia Li, Yonghong Tian, Tiejun Huang
2013	A	`conf`	A background proportion adaptive Lagrange multiplier selection method for surveillance video on HEVC. ICME Long Zhao, Xianguo Zhang, Yonghong Tian, Ronggang Wang, Tiejun Huang
2013	C	`conf`	A coding unit classification based AVC-to-HEVC transcoding with background modeling for surveillance videos. VCIP Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang
2013	B	`conf`	A system based on sequence learning for event detection in surveillance video. ICIP Xiaoyu Fang, Ziwei Xia, Chi Su, Teng Xu, Yonghong Tian, Yaowei Wang, Tiejun Huang
2013	J	`jnl`	Content-based copy detection through multimodal feature representation and temporal pyramid matching. ACM Trans. Multim. Comput. Commun. Appl. Luntian Mou, Tiejun Huang, Yonghong Tian, Menglin Jiang, Wen Gao
2013	J	`jnl`	Estimating Visual Saliency Through Single Image Optimization. IEEE Signal Process. Lett. Jia Li, Yonghong Tian, Lingyu Duan, Tiejun Huang
2013	J	`jnl`	Fast and Efficient Transcoding Based on Low-Complexity Background Modeling and Adaptive Block Classification. IEEE Trans. Multim. Xianguo Zhang, Tiejun Huang, Yonghong Tian, Mingchao Geng, Siwei Ma, Wen Gao
2013	B	`conf`	Hierarchical-and-Adaptive Bit-Allocation with Selective Background Prediction for High Efficiency Video Coding (HEVC). DCC Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao
2013	J	`jnl`	IEEE 1857: Boosting Video Applications in CPSS. IEEE Intell. Syst. Tiejun Huang, Yonghong Tian, Wen Gao
2013	A	`conf`	MPLBoost-based mixture model for effective human detection with Deformable Part Model. ICME Chaoran Gu, Luntian Mou, Yonghong Tian, Tiejun Huang
2013	B	`conf`	Overview of the IEEE 1857 surveillance groups. ICIP Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao
2013	A	`conf`	Pair-wise event detection using cubic features and sequence discriminant learning. ICME Xiaoyu Fang, Yonghong Tian, Yaowei Wang, Chi Su, Teng Xu, Ziwei Xia, Wen Gao
2013	J	`jnl`	Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes. IEEE Trans. Circuits Syst. Video Technol. Yonghong Tian, Yaowei Wang, Zhipeng Hu, Tiejun Huang
2013	C	`conf`	Single underwater image enhancement with a new optical model. ISCAS Haocheng Wen, Yonghong Tian, Tiejun Huang, Wen Gao
2013	C	`conf`	Surveillance video coding with quadtree partition based ROI extraction. PCS Peiyin Xing, Yonghong Tian, Tiejun Huang, Wen Gao
2013	J	`jnl`	Video Copy-Detection and Localization with a Scalable Cascading Framework. IEEE Multim. Yonghong Tian, Tiejun Huang, Menglin Jiang, Wen Gao
2013	C	`conf`	Wavelet based smoke detection method with RGB Contrast-image and shape constrain. VCIP Jiaqiu Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang
2012	A	`conf`	A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video. ICME Mingchao Geng, Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang
2012	B	`conf`	An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured by Moving Camera. AVSS Shumin Han, Xianguo Zhang, Yonghong Tian, Tiejun Huang
2012	C	`conf`	An efficient surveillance coding method based on a timely and bit-saving background updating model. VCIP Wei Chen, Xianguo Zhang, Yonghong Tian, Tiejun Huang
2012	—	`conf`	Automatic Webcam-Based Human Heart Rate Measurements Using Laplacian Eigenmap. ACCV (2) Lan Wei, Yonghong Tian, Yaowei Wang, Touradj Ebrahimi, Tiejun Huang
2012	J	`jnl`	Group-Sensitive Multiple Kernel Learning for Object Recognition. IEEE Trans. Image Process. Jingjing Yang, Yonghong Tian, Ling-Yu Duan, Tiejun Huang, Wen Gao
2012	C	`conf`	Low-complexity and high-efficiency background modeling for surveillance video coding. VCIP Xianguo Zhang, Yonghong Tian, Tiejun Huang, Wen Gao
2012	A	`conf`	Macro-Block-Level Selective Background Difference Coding for Surveillance Video. ICME Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, Wen Gao
2012	A	`conf`	Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. BMVC Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang
2012	—	`conf`	PKU-NEC @TRECVID2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video. TRECVID Ziwei Xia, Xiaoyu Fang, Yaowei Wang, Wei Zeng, Hongming Zhang, Yonghong Tian
2012	C	`conf`	Robust and discriminative image authentication based on standard model feature. ISCAS Luntian Mou, Xilin Chen, Yonghong Tian, Tiejun Huang
2012	B	`conf`	Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. AVSS Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang
2012	J	`jnl`	Societally connected multimedia across cultures. J. Zhejiang Univ. Sci. C Zhongfei Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang, Noshir S. Contractor, Alexander G. Hauptmann, Alejandro Jaimes, Wanqing Li, Alexander C. Loui, Tao Mei, Nicu Sebe, Yonghong Tian, Vincent S. Tseng, Qing Wang, Changsheng Xu, Huimin Yu, Shiwen Yu
2012	A	`conf`	Video Copy Detection Using a Soft Cascade of Multimodal Features. ICME Menglin Jiang, Yonghong Tian, Tiejun Huang
2011	B	`conf`	A multimodal video copy detection approach with sequential pyramid matching. ICIP Yonghong Tian, Menglin Jiang, Luntian Mou, Xiaoyu Fang, Tiejun Huang
2011	—	`conf`	Augmenting Image Processing with Social Tag Mining for Landmark Recognition. MMM (1) Amogh Mahapatra, Xin Wan, Yonghong Tian, Jaideep Srivastava
2011	J	`jnl`	Multi-Task Rank Learning for Visual Saliency Estimation. IEEE Trans. Circuits Syst. Video Technol. Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao
2011	—	`conf`	PKU-IDM @TRECVID2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching. TRECVID Menglin Jiang, Shu Fang, Yonghong Tian, Tiejun Huang, Wen Gao
2011	—	`conf`	PKU-NEC @TRECVID2011 SED: Sequence-Based Event Detection in Surveillance Video. TRECVID Xiaoyu Fang, Hongming Zhang, Chi Su, Teng Xu, Feng Wang, Shaopeng Tang, Ziwei Xia, Peixi Peng, Guoyi Liu, Yaowei Wang, Wei Zeng, Yonghong Tian
2011	—	`conf`	Robust and discriminative image authentication based on sparse coding. CCNC Luntian Mou, Tiejun Huang, Yonghong Tian, Shiguo Lian, Xilin Chen
2011	J	`jnl`	Salient region detection and segmentation for general object recognition and image understanding. Sci. China Inf. Sci. Tiejun Huang, Yonghong Tian, Jia Li, Haonan Yu
2011	B	`conf`	Selective eigenbackgrounds method for background subtraction in crowed scenes. ICIP Zhipeng Hu, Yaowei Wang, Yonghong Tian, Tiejun Huang
2011	—	`conf`	iULib: where UDL and Wikipedia could meet. Imaging and Printing in a Web 2.0 World Yonghong Tian, Tiejun Huang, Wen Gao
2010	J	`jnl`	A ranking SVM based fusion model for cross-media meta-search engine. J. Zhejiang Univ. Sci. C Ya-li Cao, Tiejun Huang, Yonghong Tian
2010	A*	`conf`	Automatic interesting object extraction from images using complementary saliency maps. ACM Multimedia Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang
2010	J	`jnl`	Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation. IEEE Signal Process. Lett. Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao
2010	A*	`conf`	Dynamic multi-cue tracking with detection responses association. ACM Multimedia Guochen Jia, Yonghong Tian, Yaowei Wang, Tiejun Huang, Min Wang
2010	B	`conf`	ESUR: A system for Events detection in SURveillance video. ICIP Yaowei Wang, Yonghong Tian, Lingyu Duan, Zhipeng Hu, Guochen Jia
2010	J	`jnl`	Mediaprinting: Identifying Multimedia Content for Digital Rights Management. Computer Tiejun Huang, Yonghong Tian, Wen Gao, Jian Lu
2010	—	`conf`	PKU@TRECVID2010: Pair-Wise Event Detection in Surveillance Video. TRECVID Kaihua Jiang, Guangcheng Zhang, Xihong Wu, Zhipeng Hu, Guochen Jia, Teng Xu, Yaowei Wang, Yonghong Tian, Wen Gao, Zhongwei Chen, Qiong Hu, Lei Qin, Yuanning Li, Luntian Mou, Chi Su, Xiaoyu Fang, Mengren Qian, Menglin Jiang, Tiejun Huang
2010	J	`jnl`	Per-Sample Multiple Kernel Approach for Visual Concept Learning. EURASIP J. Image Video Process. Jingjing Yang, Yuanning Li, Yonghong Tian, Ling-Yu Duan, Wen Gao
2010	J	`jnl`	Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video. Int. J. Comput. Vis. Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao
2010	A*	`conf`	Saliency detection based on 2D log-gabor wavelets and center bias. ACM Multimedia Min Wang, Jia Li, Tiejun Huang, Yonghong Tian, Lingyu Duan, Guochen Jia
2010	J	`jnl`	Salient object extraction for user-targeted video content association. J. Zhejiang Univ. Sci. C Jia Li, Han-nan Yu, Yonghong Tian, Tiejun Huang, Wen Gao
2010	J	`jnl`	Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context. IEEE Trans. Multim. Yuanning Li, Yonghong Tian, Ling-Yu Duan, Jingjing Yang, Tiejun Huang, Wen Gao
2010	J	`jnl`	Social Multimedia Computing. Computer Yonghong Tian, Jaideep Srivastava, Tiejun Huang, Noshir S. Contractor
2010	—	`conf`	Video retargeting with multi-scale trajectory optimization. Multimedia Information Retrieval Yuanning Li, Yonghong Tian, Jingjing Yang, Ling-Yu Duan, Wen Gao
2010	J	`jnl`	Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv. Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang
2009	B	`conf`	A New Multiple Kernel Approach for Visual Concept Learning. MMM Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao
2009	A	`conf`	A dataset and evaluation methodology for visual saliency in video. ICME Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao
2009	—	`ch.`	Content-Based Video Semantic Analysis. Semantic Mining Technologies for Multimedia Databases Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao
2009	—	`conf`	DCT-Based Videoprinting on Saliency-Consistent Regions for Detecting Video Copies with Text Insertion. PCM Rong Yang, Yonghong Tian, Tiejun Huang
2009	A*	`conf`	Group-sensitive multiple kernel learning for object categorization. ICCV Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao
2009	A	`conf`	Multiple kernel active learning for image classification. ICME Jingjing Yang, Yuanning Li, Yonghong Tian, Ling-Yu Duan, Wen Gao
2009	—	`conf`	PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in surveillance Video. TRECVID Zhipeng Hu, Guangnan Ye, Guochen Jia, Xibin Chen, Kaihua Jiang, Yaowei Wang, Yonghong Tian, Xihong Wu, Wen Gao, Qiong Hu, Lei Qing
2009	—	`ch.`	Semantic Classification and Annotation of Images. Semantic Mining Technologies for Multimedia Databases Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao
2008	—	`conf`	Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion. CLEF Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao
2008	B	`conf`	Multi-polarity text segmentation using graph theory. ICIP Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao
2008	—	`conf`	PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval. CLEF (Working Notes) Zhi Zhou, Yonghong Tian, Yuanning Li, Ting Liu, Tiejun Huang, Wen Gao
2007	A*	`conf`	Towards multi-granularity multi-facet e-book retrieval. WWW Chong Huang, Yonghong Tian, Zhi Zhou, Tiejun Huang
2006	J	`jnl`	Context-based statistical relational learning. AI Commun. Yonghong Tian
2006	A*	`conf`	Diversifying the image retrieval results. ACM Multimedia Kai Song, Yonghong Tian, Wen Gao, Tiejun Huang
2006	—	`conf`	Improving the Image Retrieval Results Via Topic Coverage Graph. PCM Kai Song, Yonghong Tian, Tiejun Huang
2006	A*	`conf`	Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang
2006	J	`jnl`	Latent linkage semantic kernels for collective classification of link data. J. Intell. Inf. Syst. Yonghong Tian, Tiejun Huang, Wen Gao
2006	J	`jnl`	Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao
2006	C	`conf`	Robust Collective Classification with Contextual Dependency Network Models. ADMA Yonghong Tian, Tiejun Huang, Wen Gao
2006	C	`conf`	Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. ADMA Chong Huang, Yonghong Tian, Tiejun Huang, Wen Gao
2004	—	`conf`	Context-Based Classification for Link Data. ICWL Yonghong Tian, Wen Gao, Tiejun Huang
2004	J	`jnl`	Two-phase Web site classification based on Hidden Markov Tree models. Web Intell. Agent Syst. Yonghong Tian, Tiejun Huang, Wen Gao
2003	—	`conf`	Two-Phase Web Site Classification Based on Hidden Markov Tree Models. Web Intelligence Yonghong Tian, Tie-Jun Huang, Wen Gao, Jun Cheng, PingBo Kang
2002	—	`conf`	Quantitatively evaluating the influence of online social interactions in the community-assisted digital library. JCDL Yonghong Tian, Tiejun Huang, Wen Gao
2001	J	`jnl`	The Development of a Mobile Decision Support System. J. Interconnect. Networks Wu Yeu, Yonghong Tian, Wanlei Zhou