Chen, Guangyi

46 publications

ICML 2025 A General Representation-Based Approach to Multi-Source Domain Adaptation Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations 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

NeurIPS 2025 CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang

NeurIPS 2025 Dimensional Collapse in VQVAEs: Evidence and Remedies Jiayou Zhang, Yifan Shen, Guangyi Chen, Le Song, Eric P. Xing

ICLR 2025 Identification of Intermittent Temporal Latent Process Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

ICML 2025 Learning Vision and Language Concepts for Controllable Image Generation Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing, Guangyi Chen, Kun Zhang

ICLR 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang

NeurIPS 2025 Online Time Series Forecasting with Theoretical Guarantees Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang

ICML 2025 Reflection-Window Decoding: Text Generation with Selective Refinement Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang

CVPR 2025 SmartCLIP: Modular Vision-Language Alignment with Identification Guarantees Shaoan Xie, Lingjing Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

ICLR 2025 Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang

NeurIPS 2025 Towards Identifiability of Hierarchical Temporal Causal Representation Learning Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang

NeurIPS 2025 Towards Self-Refinement of Vision-Language Models with Triangular Consistency Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang

ICML 2024 CaRiNG: Learning Temporal Causal Representation Under Non-Invertible Generation Process Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang

NeurIPS 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang

ECCV 2024 Efficient Inference of Vision Instruction-Following Models with Elastic Cache Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu

ICLR 2024 Federated Causal Discovery from Heterogeneous Data Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

ICLR 2024 LLCP: Learning Latent Causal Processes for Reasoning-Based Video Question Answer Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang

ICML 2024 Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellotti, Donglai Wei

NeurIPS 2024 Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang

CVPR 2024 Narrative Action Evaluation with Prompt-Guided Multimodal Interaction Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang

NeurIPS 2024 On Causal Discovery in the Presence of Deterministic Relations Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang

AAAI 2024 S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan

ICLR 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang

NeurIPS 2024 Towards Understanding Extrapolation: A Causal Lens Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang

AAAI 2023 Adversarial Alignment for Source Free Object Detection Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li

NeurIPS 2023 BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction Rongqing Li, Changsheng Li, Dongchun Ren, Guangyi Chen, Ye Yuan, Guoren Wang

ICML 2023 Feature Expansion for Graph Neural Networks Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang

ICLR 2023 GAIN: On the Generalization of Instructional Action Understanding Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu

ICLR 2023 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang

CVPR 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan

NeurIPS 2023 Subspace Identification for Multi-Source Domain Adaptation Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang

ICCV 2023 Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H.S. Torr, Xiao-Ping Zhang, Yansong Tang

NeurIPS 2023 Temporally Disentangled Representation Learning Under Unknown Nonstationarity Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang

CVPR 2023 Understanding Masked Autoencoders via Hierarchical Latent Variable Models Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang

CVPR 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang

CVPR 2022 DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu

CVPR 2022 FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu

ICML 2022 Partial Disentanglement for Domain Adaptation Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang

CVPR 2022 Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu

NeurIPS 2022 Temporally Disentangled Representation Learning Weiran Yao, Guangyi Chen, Kun Zhang

ICCV 2021 Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou

ICCV 2021 Human Trajectory Prediction via Counterfactual Analysis Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou

ICCV 2021 Personalized Trajectory Prediction via Distribution Discrimination Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu

ECCV 2020 Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-Identification Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou

ECCV 2020 Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-Identification? Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou