Guangyi Chen

Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards ACL 2026 Learning by Analogy: A Causal Framework for Compositional Generalization CVPR 2026 A General Representation-Based Approach to Multi-Source Domain Adaptation ICML 2025 Causal Representation Learning from Multimodal Biomedical Observations ICLR 2025 Identification of Intermittent Temporal Latent Process ICLR 2025 Learning Vision and Language Concepts for Controllable Image Generation ICML 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 Reflection-Window Decoding: Text Generation with Selective Refinement ICML 2025 SmartCLIP: Modular Vision-language Alignment with Identification Guarantees CVPR 2025 Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning ICLR 2025 CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process ICML 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition NeurIPS 2024 Efficient Inference of Vision Instruction-Following Models with Elastic Cache ECCV 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 Federated Causal Discovery from Heterogeneous Data ICLR 2024 Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition ICML 2024 Learning Discrete Concepts in Latent Hierarchical Models NeurIPS 2024 LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer ICLR 2024 Narrative Action Evaluation with Prompt-Guided Multimodal Interaction CVPR 2024 On Causal Discovery in the Presence of Deterministic Relations NeurIPS 2024 S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment AAAI 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability ICLR 2024 Towards Understanding Extrapolation: a Causal Lens NeurIPS 2024 Adversarial Alignment for Source Free Object Detection AAAI 2023 BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction NeurIPS 2023 Feature Expansion for Graph Neural Networks ICML 2023 GAIN: On the Generalization of Instructional Action Understanding ICLR 2023 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models ICLR 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery CVPR 2023 Subspace Identification for Multi-Source Domain Adaptation NeurIPS 2023 Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer ICCV 2023 Temporally Disentangled Representation Learning under Unknown Nonstationarity NeurIPS 2023 Understanding Masked Autoencoders via Hierarchical Latent Variable Models CVPR 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting CVPR 2022 FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment CVPR 2022 Partial disentanglement for domain adaptation ICML 2022 Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion CVPR 2022 Temporally Disentangled Representation Learning NeurIPS 2022 Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification ICCV 2021 Human Trajectory Prediction via Counterfactual Analysis ICCV 2021 Personalized Trajectory Prediction via Distribution Discrimination ICCV 2021 Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification ECCV 2020 Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification? ECCV 2020 Deep Meta Metric Learning ICCV 2019 Self-Critical Attention Learning for Person Re-Identification ICCV 2019