← Authors

Guangyi Chen

44 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (59) 🀝 Dynamic Duo (27) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (13) πŸ—ƒοΈ Keyword Collector (133) πŸ”₯ Unstoppable (7) ❓ The Questioner (2) πŸ’Ž Century Club (44)

Conferences

ICLR (9) CVPR (8) NIPS (8) ICML (7) ICCV (6) ECCV (3) AAAI (2) EMNLP (1)

Top co-authors

Kun Zhang (27) Jiwen Lu (13) Jie Zhou (10) Yujia Zheng (8) Yongming Rao (7) Zijian Li (7) Xiangchen Song (6) Lingjing Kong (6) Eric P. Xing (6) Weiran Yao (5)

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

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning ICLR 2025
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
Learning Vision and Language Concepts for Controllable Image Generation ICML 2025
Reflection-Window Decoding: Text Generation with Selective Refinement ICML 2025
A General Representation-Based Approach to Multi-Source Domain Adaptation ICML 2025
On Causal Discovery in the Presence of Deterministic Relations NIPS 2024
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction CVPR 2024
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition ICML 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
Efficient Inference of Vision Instruction-Following Models with Elastic Cache ECCV 2024
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer ICLR 2024
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability 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
Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024
Towards Understanding Extrapolation: a Causal Lens 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
Temporally Disentangled Representation Learning NIPS 2022
Partial disentanglement for domain adaptation ICML 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion CVPR 2022
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting CVPR 2022
FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment CVPR 2022
Human Trajectory Prediction via Counterfactual Analysis ICCV 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification 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