Guangyi Chen - RankMe

113 papers A* 42A 1B 1Misc 1Journal 63Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unsupervised Synthetic Image Attribution: Alignment and Disentanglement. CoRR Zongfang Liu, Guangyi Chen, Boyang Sun, Tongliang Liu, Kun Zhang
2025	A*	`conf`	A General Representation-Based Approach to Multi-Source Domain Adaptation. ICML Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality. CoRR Lingjing Kong, Shaoan Xie, Guangyi Chen, Yuewen Sun, Xiangchen Song, Eric P. Xing, Kun Zhang
2025	A*	`conf`	Causal Representation Learning from Multimodal Biomedical Observations. ICLR Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2025	J	`jnl`	CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations. CoRR Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang
2025	J	`jnl`	Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data. CoRR Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang
2025	J	`jnl`	Controllable Video Generation with Provable Disentanglement. CoRR Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang
2025	A*	`conf`	Identification of Intermittent Temporal Latent Process. ICLR Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang
2025	J	`jnl`	Identifying Semantic Component for Robust Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
2025	A*	`conf`	Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. WWW Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang
2025	A*	`conf`	Learning Vision and Language Concepts for Controllable Image Generation. ICML Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Learning by Analogy: A Causal Framework for Composition Generalization. CoRR Lingjing Kong, Shaoan Xie, Yang Jiao, Yetian Chen, Yanhui Guo, Simone Shao, Yan Gao, Guangyi Chen, Kun Zhang
2025	A*	`conf`	On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Online Time Series Forecasting with Theoretical Guarantees. CoRR Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang
2025	J	`jnl`	PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits. CoRR Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang
2025	A*	`conf`	Reflection-Window Decoding: Text Generation with Selective Refinement. ICML Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens. CoRR Yunlong Deng, Boyang Sun, Yan Li, Lingjing Kong, Zeyu Tang, Kun Zhang, Guangyi Chen
2025	J	`jnl`	Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation. CoRR Yan Li, Guangyi Chen, Yunlong Deng, Zijian Li, Zeyu Tang, Anpeng Wu, Kun Zhang
2025	A*	`conf`	SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CVPR Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025	J	`jnl`	SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CoRR Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models. CoRR Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang
2025	A*	`conf`	Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. ICLR Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025	J	`jnl`	Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. CoRR Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
2025	J	`jnl`	Towards Identifiability of Hierarchical Temporal Causal Representation Learning. CoRR Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Towards Self-Refinement of Vision-Language Models with Triangular Consistency. CoRR Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang
2025	J	`jnl`	Towards Understanding Extrapolation: a Causal Lens. CoRR Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
2024	J	`jnl`	CT4D: Consistent Text-to-4D Generation with Animatable Meshes. CoRR Ce Chen, Shaoli Huang, Xuelin Chen, Guangyi Chen, Xiaoguang Han, Kun Zhang, Mingming Gong
2024	A*	`conf`	CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. ICML Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
2024	J	`jnl`	CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. CoRR Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
2024	J	`jnl`	Causal Representation Learning from Multimodal Biological Observations. CoRR Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2024	A*	`conf`	Causal Temporal Representation Learning with Nonstationary Sparse Transition. NeurIPS Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
2024	J	`jnl`	Causality for Large Language Models. CoRR Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang
2024	J	`jnl`	Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models. CoRR Loka Li, Guangyi Chen, Yusheng Su, Zhenhao Chen, Yixuan Zhang, Eric P. Xing, Kun Zhang
2024	J	`jnl`	Continual Learning of Nonlinear Independent Representations. CoRR Boyang Sun, Ignavier Ng, Guangyi Chen, Yifan Shen, Qirong Ho, Kun Zhang
2024	—	`conf`	Efficient Inference of Vision Instruction-Following Models with Elastic Cache. ECCV (17) Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
2024	J	`jnl`	Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
2024	A*	`conf`	Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. EMNLP Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He
2024	J	`jnl`	Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. CoRR Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He
2024	A*	`conf`	Federated Causal Discovery from Heterogeneous Data. ICLR Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
2024	J	`jnl`	Federated Causal Discovery from Heterogeneous Data. CoRR Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
2024	J	`jnl`	From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang
2024	A*	`conf`	LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer. ICLR Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang
2024	Misc	`conf`	Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim
2024	A*	`conf`	Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition. ICML Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellotti, Donglai Wei
2024	A*	`conf`	Learning Discrete Concepts in Latent Hierarchical Models. NeurIPS Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
2024	J	`jnl`	Learning Discrete Concepts in Latent Hierarchical Models. CoRR Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
2024	J	`jnl`	Learning Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition. CoRR Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellotti, Donglai Wei
2024	—	`conf`	Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. HCMA@MM Yuke Li, Lixiong Chen, Guangyi Chen, Ching-Yao Chan, Kun Zhang, Stefano Anzellotti, Donglai Wei
2024	—	`conf`	MRIShift: Disentangled Representation Learning for 3D MRI Lesion Segmentation Under Distributional Shifts. EUVIP Umaima Rahman, Guangyi Chen, Kun Zhang
2024	A*	`conf`	MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. WWW Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
2024	J	`jnl`	MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. CoRR Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
2024	A*	`conf`	Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CVPR Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang
2024	J	`jnl`	Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CoRR Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang
2024	A*	`conf`	On Causal Discovery in the Presence of Deterministic Relations. NeurIPS Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang
2024	J	`jnl`	On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
2024	A*	`conf`	S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. AAAI Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan
2024	A*	`conf`	Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. ICLR Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
2024	A*	`conf`	Towards Understanding Extrapolation: a Causal Lens. NeurIPS Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
2024	J	`jnl`	When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
2023	A*	`conf`	Adversarial Alignment for Source Free Object Detection. AAAI Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li
2023	J	`jnl`	Adversarial Alignment for Source Free Object Detection. CoRR Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li
2023	A*	`conf`	Feature Expansion for Graph Neural Networks. ICML Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang
2023	J	`jnl`	Feature Expansion for Graph Neural Networks. CoRR Jiaqi Sun, Lin Zhang, Guangyi Chen, Kun Zhang, Peng Xu, Yujiu Yang
2023	A*	`conf`	GAIN: On the Generalization of Instructional Action Understanding. ICLR Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu
2023	J	`jnl`	Identifying Semantic Component for Robust Molecular Property Prediction. CoRR Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
2023	J	`jnl`	Language-free Compositional Action Generation via Decoupling Refinement. CoRR Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim
2023	J	`jnl`	Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. CoRR Yuke Li, Lixiong Chen, Guangyi Chen, Ching-Yao Chan, Kun Zhang, Stefano Anzellotti, Donglai Wei
2023	A*	`conf`	PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
2023	J	`jnl`	Partial Identifiability for Domain Adaptation. CoRR Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2023	A*	`conf`	PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CVPR Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan
2023	A*	`conf`	Subspace Identification for Multi-Source Domain Adaptation. NeurIPS Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
2023	J	`jnl`	Subspace Identification for Multi-Source Domain Adaptation. CoRR Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
2023	A*	`conf`	Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. ICCV Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
2023	J	`jnl`	Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. CoRR Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
2023	A*	`conf`	Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
2023	J	`jnl`	Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang
2023	J	`jnl`	Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. CoRR Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan
2023	A*	`conf`	Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CVPR Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
2023	J	`jnl`	Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CoRR Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
2023	A*	`conf`	Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. CVPR Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang
2023	J	`jnl`	Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. CoRR Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang
2022	A*	`conf`	DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CVPR Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
2022	A*	`conf`	FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CVPR Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
2022	J	`jnl`	FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
2022	J	`jnl`	Learning Latent Causal Dynamics. CoRR Weiran Yao, Guangyi Chen, Kun Zhang
2022	A*	`conf`	Partial disentanglement for domain adaptation. ICML Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2022	J	`jnl`	Probabilistic Temporal Modeling for Unintentional Action Localization. IEEE Trans. Image Process. Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu
2022	J	`jnl`	Prompt Learning with Optimal Transport for Vision-Language Models. CoRR Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
2022	J	`jnl`	PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan
2022	A*	`conf`	Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
2022	J	`jnl`	Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
2022	A*	`conf`	Temporally Disentangled Representation Learning. NeurIPS Weiran Yao, Guangyi Chen, Kun Zhang
2022	J	`jnl`	Temporally Disentangled Representation Learning. CoRR Weiran Yao, Guangyi Chen, Kun Zhang
2022	J	`jnl`	Unintentional Action Localization via Counterfactual Examples. IEEE Trans. Image Process. Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou
2021	A*	`conf`	Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
2021	J	`jnl`	Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
2021	J	`jnl`	DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CoRR Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
2021	A*	`conf`	Human Trajectory Prediction via Counterfactual Analysis. ICCV Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou
2021	J	`jnl`	Human Trajectory Prediction via Counterfactual Analysis. CoRR Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou
2021	J	`jnl`	Person Re-Identification via Attention Pyramid. IEEE Trans. Image Process. Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou
2021	J	`jnl`	Person Re-identification via Attention Pyramid. CoRR Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou
2021	A*	`conf`	Personalized Trajectory Prediction via Distribution Discrimination. ICCV Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
2021	J	`jnl`	Personalized Trajectory Prediction via Distribution Discrimination. CoRR Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
2021	A	`conf`	Temporal Label Aggregation for Unintentional Action Localization. ICME Nuoxing Zhou, Guangyi Chen, Jinglin Xu, Wei-Shi Zheng, Jiwen Lu
2020	—	`conf`	Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification. ECCV (8) Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou
2020	J	`jnl`	Learning Recurrent 3D Attention for Video-Based Person Re-Identification. IEEE Trans. Image Process. Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou
2020	—	`conf`	Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? ECCV (8) Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou
2019	A*	`conf`	Deep Meta Metric Learning. ICCV Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou
2019	A*	`conf`	Self-Critical Attention Learning for Person Re-Identification. ICCV Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou
2019	J	`jnl`	Spatial-Temporal Attention-Aware Learning for Video-Based Person Re-Identification. IEEE Trans. Image Process. Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou
2017	B	`conf`	Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification. ICIP Guangyi Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou