Guangyi Chen
45 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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(27)
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The Questioner
(2)
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Century Club
(44)
Conferences
ICLR (9)
CVPR (8)
NIPS (8)
ICML (7)
ICCV (6)
ECCV (3)
AAAI (2)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
causal inference
(6)
representation learning
(6)
trajectory prediction
(5)
contrastive learning
(5)
diffusion model
(3)
self-supervised learning
(3)
domain adaptation
(3)
distribution shift
(2)
feature space
(2)
latent variable
(2)
object detection
(2)
action recognition
(2)
video understanding
(2)
latent variable model
(2)
unsupervised learning
(2)
attention mechanism
(2)
multimodal learning
(2)
causal discovery
(2)
person re-identification
(2)
disentangled representation
(2)
Papers
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
ACL 2026
On the Identification of Temporal Causal Representation with Instantaneous Dependence
ICLR 2025
Causal Representation Learning from Multimodal Biomedical Observations
ICLR 2025
Identification of Intermittent Temporal Latent Process
ICLR 2025
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees
CVPR 2025
A General Representation-Based Approach to Multi-Source Domain Adaptation
ICML 2025
Learning Vision and Language Concepts for Controllable Image Generation
ICML 2025
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
ICLR 2025
Reflection-Window Decoding: Text Generation with Selective Refinement
ICML 2025
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction
CVPR 2024
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
ICML 2024
Efficient Inference of Vision Instruction-Following Models with Elastic Cache
ECCV 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
ICML 2024
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
EMNLP 2024
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
ICLR 2024
Learning Discrete Concepts in Latent Hierarchical Models
NIPS 2024
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
AAAI 2024
Federated Causal Discovery from Heterogeneous Data
ICLR 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
ICLR 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NIPS 2024
Towards Understanding Extrapolation: a Causal Lens
NIPS 2024
On Causal Discovery in the Presence of Deterministic Relations
NIPS 2024
Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer
ICCV 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity
NIPS 2023
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
NIPS 2023
Subspace Identification for Multi-Source Domain Adaptation
NIPS 2023
Adversarial Alignment for Source Free Object Detection
AAAI 2023
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
CVPR 2023
Understanding Masked Autoencoders via Hierarchical Latent Variable Models
CVPR 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
CVPR 2023
GAIN: On the Generalization of Instructional Action Understanding
ICLR 2023
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
ICLR 2023
Feature Expansion for Graph Neural Networks
ICML 2023
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
CVPR 2022
FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment
CVPR 2022
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting
CVPR 2022
Temporally Disentangled Representation Learning
NIPS 2022
Partial disentanglement for domain adaptation
ICML 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