Guangyi Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 55

Top Topics

Heterogeneous Data

Domain Adaptation

Question Answer

Top Venues

IEEE Trans. Image Process.

Publications

Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
Learning Discrete Concepts in Latent Hierarchical Models. CoRR (2024)
Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR (2024)
Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR (2024)
Longkang Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
Federated Causal Discovery from Heterogeneous Data. ICLR (2024)
Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. AAAI (2024)
Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CoRR (2024)
Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu
Efficient Inference of Vision Instruction-Following Models with Elastic Cache. CoRR (2024)
Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
Federated Causal Discovery from Heterogeneous Data. CoRR (2024)
Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. ICLR (2024)
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. WWW (2024)
Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer. ICLR (2024)
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim
Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP (2024)
Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. CoRR (2024)
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. CoRR (2024)
Loka Li, Guangyi Chen, Yusheng Su, Zhenhao Chen, Yixuan Zhang, Eric P. Xing, Kun Zhang
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models. CoRR (2024)
Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR (2024)
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim
Language-free Compositional Action Generation via Decoupling Refinement. CoRR (2023)
Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CoRR (2023)
Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
Identifying Semantic Component for Robust Molecular Property Prediction. CoRR (2023)
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Subspace Identification for Multi-Source Domain Adaptation. CoRR (2023)
Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu
GAIN: On the Generalization of Instructional Action Understanding. ICLR (2023)
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR (2023)
Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang
Understanding Masked Autoencoders via Hierarchical Latent Variable Models. CVPR (2023)
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS (2023)
Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS (2023)
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR (2023)
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Partial Identifiability for Domain Adaptation. CoRR (2023)
Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu
Probabilistic Temporal Modeling for Unintentional Action Localization. IEEE Trans. Image Process. 31 (2022)
Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
Partial disentanglement for domain adaptation. ICML (2022)
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR (2022)
Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR (2022)
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CVPR (2022)
Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CVPR (2022)
Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR (2022)
Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
Prompt Learning with Optimal Transport for Vision-Language Models. CoRR (2022)
Weiran Yao, Guangyi Chen, Kun Zhang
Temporally Disentangled Representation Learning. NeurIPS (2022)
Weiran Yao, Guangyi Chen, Kun Zhang
Temporally Disentangled Representation Learning. CoRR (2022)
Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou
Unintentional Action Localization via Counterfactual Examples. IEEE Trans. Image Process. 31 (2022)
Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
Personalized Trajectory Prediction via Distribution Discrimination. ICCV (2021)
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV (2021)
Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
Personalized Trajectory Prediction via Distribution Discrimination. CoRR (2021)
Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou
Human Trajectory Prediction via Counterfactual Analysis. ICCV (2021)
Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou
Human Trajectory Prediction via Counterfactual Analysis. CoRR (2021)
Guangyi Chen, Tianpei Gu, Jiwen Lu, Jin-An Bao, Jie Zhou
Person Re-identification via Attention Pyramid. CoRR (2021)
Nuoxing Zhou, Guangyi Chen, Jinglin Xu, Wei-Shi Zheng, Jiwen Lu
Temporal Label Aggregation for Unintentional Action Localization. ICME (2021)
Guangyi Chen, Tianpei Gu, Jiwen Lu, Jin-An Bao, Jie Zhou
Person Re-Identification via Attention Pyramid. IEEE Trans. Image Process. 30 (2021)
Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. CoRR (2021)
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR (2021)
Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou
Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? ECCV (8) (2020)
Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification. ECCV (8) (2020)
Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou
Learning Recurrent 3D Attention for Video-Based Person Re-Identification. IEEE Trans. Image Process. 29 (2020)
Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou
Self-Critical Attention Learning for Person Re-Identification. ICCV (2019)
Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou
Spatial-Temporal Attention-Aware Learning for Video-Based Person Re-Identification. IEEE Trans. Image Process. 28 (9) (2019)
Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou
Deep Meta Metric Learning. ICCV (2019)
Guangyi Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou
Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification. ICIP (2017)