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ORCIDGuangyi Chen 0002
Person information
- affiliation: Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, AE
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (PhD 2021): Tsinghua University, Department of Automation, Beijing, China
- affiliation (former): Tsinghua University, State Key Lab of Intelligent Technologies and Systems, Beijing, China
- affiliation (former): Tsinghua National Laboratory for Information Science and Technology, TNList, Beijing, China
- affiliation (former): Beijing National Research Center for Information Science and Technology, China
Other persons with the same name
- Guangyi Chen — disambiguation page
- Guangyi Chen 0001
![[0000-0002-4811-2402]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4811-2402")
(aka: Guang Yi Chen 0001) — Ryerson University, Department of Electrical and Computer Engineering, Toronto, ON, Canada (and 3 more) - Guangyi Chen 0003 — Lanzhou University, School of Mechanical and Electronical Engineering, China
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Journal Articles
- 2025
[j6]Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang:
Identifying Semantic Component for Robust Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 47(12): 11614-11631 (2025)- 2022
- [j5]Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, Jiwen Lu:
Probabilistic Temporal Modeling for Unintentional Action Localization. IEEE Trans. Image Process. 31: 3081-3094 (2022) - [j4]Jinglin Xu, Guangyi Chen, Jiwen Lu, Jie Zhou:
Unintentional Action Localization via Counterfactual Examples. IEEE Trans. Image Process. 31: 3281-3294 (2022) - 2021
- [j3]Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-Identification via Attention Pyramid. IEEE Trans. Image Process. 30: 7663-7676 (2021) - 2020
- [j2]Guangyi Chen, Jiwen Lu, Ming Yang, Jie Zhou:
Learning Recurrent 3D Attention for Video-Based Person Re-Identification. IEEE Trans. Image Process. 29: 6963-6976 (2020) - 2019
- [j1]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): 4192-4205 (2019)
Conference and Workshop Papers
- 2025
- [c47]Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang:
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CVPR 2025: 29780-29790 - [c46]Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang:
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. ICLR 2025 - [c45]Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang:
On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR 2025 - [c44]Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang:
Identification of Intermittent Temporal Latent Process. ICLR 2025 - [c43]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:
Causal Representation Learning from Multimodal Biomedical Observations. ICLR 2025 - [c42]Ruichu Cai, Zhifan Jiang, Kaitao Zheng, Zijian Li, Weilin Chen, Xuexin Chen, Yifan Shen, Guangyi Chen, Zhifeng Hao, Kun Zhang:
Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. WWW 2025: 3247-3266 - 2024
- [c41]Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan:
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. AAAI 2024: 7278-7286 - [c40]Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang:
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CVPR 2024: 18430-18439 - [c39]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. ECCV (17) 2024: 54-69 - [c38]Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He:
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. EMNLP 2024: 10423-10435 - [c37]Umaima Rahman, Guangyi Chen, Kun Zhang:
MRIShift: Disentangled Representation Learning for 3D MRI Lesion Segmentation Under Distributional Shifts. EUVIP 2024: 1-6 - [c36]Yuke Li, Lixiong Chen, Guangyi Chen, Ching-Yao Chan, Kun Zhang, Stefano Anzellotti, Donglai Wei:
Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. HCMA@MM 2024: 55-64 - [c35]Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim:
Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP 2024: 2910-2914 - [c34]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 - [c33]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 - [c32]Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang:
Federated Causal Discovery from Heterogeneous Data. ICLR 2024 - [c31]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. ICML 2024 - [c30]Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellotti, Donglai Wei:
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition. ICML 2024 - [c29]Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang:
Learning Discrete Concepts in Latent Hierarchical Models. NeurIPS 2024 - [c28]Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang:
Towards Understanding Extrapolation: a Causal Lens. NeurIPS 2024 - [c27]Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang:
On Causal Discovery in the Presence of Deterministic Relations. NeurIPS 2024 - [c26]Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang:
Causal Temporal Representation Learning with Nonstationary Sparse Transition. NeurIPS 2024 - [c25]Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen:
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. WWW 2024: 709-720 - 2023
- [c24]Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li:
Adversarial Alignment for Source Free Object Detection. AAAI 2023: 452-460 - [c23]Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CVPR 2023: 3479-3488 - [c22]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: 7918-7928 - [c21]Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang:
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. CVPR 2023: 17874-17884 - [c20]Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang:
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. ICCV 2023: 13899-13909 - [c19]Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang:
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. ICLR 2023 - [c18]Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu:
GAIN: On the Generalization of Instructional Action Understanding. ICLR 2023 - [c17]Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang:
Feature Expansion for Graph Neural Networks. ICML 2023: 33156-33176 - [c16]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS 2023 - [c15]Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang:
Temporally Disentangled Representation Learning under Unknown Nonstationarity. NeurIPS 2023 - 2022
- [c14]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: 2939-2948 - [c13]Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu:
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CVPR 2022: 17092-17101 - [c12]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: 18061-18070 - [c11]Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang:
Partial disentanglement for domain adaptation. ICML 2022: 11455-11472 - [c10]Weiran Yao, Guangyi Chen, Kun Zhang:
Temporally Disentangled Representation Learning. NeurIPS 2022 - 2021
- [c9]Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. ICCV 2021: 1005-1014 - [c8]Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. ICCV 2021: 9804-9813 - [c7]Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu:
Personalized Trajectory Prediction via Distribution Discrimination. ICCV 2021: 15560-15569 - [c6]Nuoxing Zhou, Guangyi Chen, Jinglin Xu, Wei-Shi Zheng, Jiwen Lu:
Temporal Label Aggregation for Unintentional Action Localization. ICME 2021: 1-7 - 2020
- [c5]Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou:
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification. ECCV (8) 2020: 643-659 - [c4]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: 660-676 - 2019
- [c3]Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou:
Deep Meta Metric Learning. ICCV 2019: 9546-9555 - [c2]Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou:
Self-Critical Attention Learning for Person Re-Identification. ICCV 2019: 9636-9645 - 2017
- [c1]Guangyi Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification. ICIP 2017: 111-115
Informal and Other Publications
- 2025
- [i54]Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang:
Towards Understanding Extrapolation: a Causal Lens. CoRR abs/2501.09163 (2025) - [i53]Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang:
Controllable Video Generation with Provable Disentanglement. CoRR abs/2502.02690 (2025) - [i52]Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR abs/2502.03678 (2025) - [i51]Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang:
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. CoRR abs/2503.00639 (2025) - [i50]Yan Li, Guangyi Chen, Yunlong Deng, Zijian Li, Zeyu Tang, Anpeng Wu, Kun Zhang:
Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation. CoRR abs/2507.17001 (2025) - [i49]Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang:
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CoRR abs/2507.22264 (2025) - [i48]Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman H. Khan, Peter Spirtes, Kun Zhang:
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits. CoRR abs/2509.11362 (2025) - [i47]Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang:
Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data. CoRR abs/2509.25800 (2025) - [i46]Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang:
Step-Aware Policy Optimization for Reasoning in Diffusion Large Language Models. CoRR abs/2510.01544 (2025) - [i45]Yunlong Deng, Boyang Sun, Yan Li, Lingjing Kong, Zeyu Tang, Kun Zhang, Guangyi Chen:
Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens. CoRR abs/2510.08222 (2025) - [i44]Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang:
Towards Self-Refinement of Vision-Language Models with Triangular Consistency. CoRR abs/2510.10487 (2025) - [i43]Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang:
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations. CoRR abs/2510.14049 (2025) - [i42]Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang:
Online Time Series Forecasting with Theoretical Guarantees. CoRR abs/2510.18281 (2025) - [i41]Zijian Li, Minghao Fu, Junxian Huang, Yifan Shen, Ruichu Cai, Yuewen Sun, Guangyi Chen, Kun Zhang:
Towards Identifiability of Hierarchical Temporal Causal Representation Learning. CoRR abs/2510.18310 (2025) - 2024
- [i40]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 abs/2401.14535 (2024) - [i39]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 abs/2402.12563 (2024) - [i38]Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellotti, Donglai Wei:
Learning Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition. CoRR abs/2402.12706 (2024) - [i37]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 abs/2402.12767 (2024) - [i36]Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang:
Federated Causal Discovery from Heterogeneous Data. CoRR abs/2402.13241 (2024) - [i35]Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang:
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. CoRR abs/2404.14471 (2024) - [i34]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 abs/2405.15325 (2024) - [i33]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 abs/2405.16083 (2024) - [i32]Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang:
Learning Discrete Concepts in Latent Hierarchical Models. CoRR abs/2406.00519 (2024) - [i31]Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He:
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. CoRR abs/2406.17969 (2024) - [i30]Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen:
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. CoRR abs/2406.19832 (2024) - [i29]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 abs/2407.18121 (2024) - [i28]Boyang Sun, Ignavier Ng, Guangyi Chen, Yifan Shen, Qirong Ho, Kun Zhang:
Continual Learning of Nonlinear Independent Representations. CoRR abs/2408.05788 (2024) - [i27]Ce Chen, Shaoli Huang, Xuelin Chen, Guangyi Chen, Xiaoguang Han, Kun Zhang, Mingming Gong:
CT4D: Consistent Text-to-4D Generation with Animatable Meshes. CoRR abs/2408.08342 (2024) - [i26]Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang:
Causal Temporal Representation Learning with Nonstationary Sparse Transition. CoRR abs/2409.03142 (2024) - [i25]Anpeng Wu, Kun Kuang, Minqin Zhu, Yingrong Wang, Yujia Zheng, Kairong Han, Baohong Li, Guangyi Chen, Fei Wu, Kun Zhang:
Causality for Large Language Models. CoRR abs/2410.15319 (2024) - [i24]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:
Causal Representation Learning from Multimodal Biological Observations. CoRR abs/2411.06518 (2024) - 2023
- [i23]Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li:
Adversarial Alignment for Source Free Object Detection. CoRR abs/2301.04265 (2023) - [i22]Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang:
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. CoRR abs/2304.04298 (2023) - [i21]Jiaqi Sun, Lin Zhang, Guangyi Chen, Kun Zhang, Peng Xu, Yujiu Yang:
Feature Expansion for Graph Neural Networks. CoRR abs/2305.06142 (2023) - [i20]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 abs/2306.04898 (2023) - [i19]Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang:
Partial Identifiability for Domain Adaptation. CoRR abs/2306.06510 (2023) - [i18]Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim:
Language-free Compositional Action Generation via Decoupling Refinement. CoRR abs/2307.03538 (2023) - [i17]Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang:
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. CoRR abs/2308.08414 (2023) - [i16]Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. CoRR abs/2308.12960 (2023) - [i15]Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang:
Subspace Identification for Multi-Source Domain Adaptation. CoRR abs/2310.04723 (2023) - [i14]Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric P. Xing, Kun Zhang:
Temporally Disentangled Representation Learning under Unknown Nonstationarity. CoRR abs/2310.18615 (2023) - [i13]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 abs/2311.04837 (2023) - [i12]Yuke Li, Lixiong Chen, Guangyi Chen, Ching-Yao Chan, Kun Zhang, Stefano Anzellotti, Donglai Wei:
Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. CoRR abs/2312.14373 (2023) - 2022
- [i11]Weiran Yao, Guangyi Chen, Kun Zhang:
Learning Latent Causal Dynamics. CoRR abs/2202.04828 (2022) - [i10]Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu:
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. CoRR abs/2203.13777 (2022) - [i9]Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu:
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. CoRR abs/2204.03646 (2022) - [i8]Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang:
Prompt Learning with Optimal Transport for Vision-Language Models. CoRR abs/2210.01253 (2022) - [i7]Weiran Yao, Guangyi Chen, Kun Zhang:
Temporally Disentangled Representation Learning. CoRR abs/2210.13647 (2022) - [i6]Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR abs/2212.05590 (2022) - 2021
- [i5]Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. CoRR abs/2107.14202 (2021) - [i4]Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu:
Personalized Trajectory Prediction via Distribution Discrimination. CoRR abs/2107.14204 (2021) - [i3]Guangyi Chen, Tianpei Gu, Jiwen Lu, Jinan Bao, Jie Zhou:
Person Re-identification via Attention Pyramid. CoRR abs/2108.05340 (2021) - [i2]Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou:
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. CoRR abs/2108.08728 (2021) - [i1]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 abs/2112.01518 (2021)
Coauthor Index
[j6] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c37] [c36] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [c26] [c25] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c11] [c10] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i37] [i36] [i34] [i33] [i32] [i30] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [i20] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i8] [i7]
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last updated on 2025-12-04 01:42 CET by the dblp team
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