Li, Yinchuan

17 publications

ICLR 2025 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
NeurIPS 2025 Conditioning Matters: Training Diffusion Policies Is Faster than You Think Zibin Dong, Yicheng Liu, Yinchuan Li, Hang Zhao, Jianye Hao
ICML 2025 Ergodic Generative Flows Leo Maxime Brunswic, Mateo Clémente, Rui Heng Yang, Adam Sigal, Amir Rasouli, Yinchuan Li
ICCV 2025 Less Is More: Empowering GUI Agent with Context-Aware Simplification Gongwei Chen, Xurui Zhou, Rui Shao, Yibo Lyu, Kaiwen Zhou, Shuai Wang, Wentao Li, Yinchuan Li, Zhongang Qi, Liqiang Nie
NeurIPS 2025 Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO Kaiyang Guo, Yinchuan Li, Zhitang Chen
ICML 2025 STAR: Learning Diverse Robot Skill Abstractions Through Rotation-Augmented Vector Quantization Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
CVPR 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
NeurIPS 2025 Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising Mateo Clémente, Leo Maxime Brunswic, Rui Heng Yang, Xuan Zhao, Yasser H. Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li
AAAI 2024 A Theory of Non-Acyclic Generative Flow Networks Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma
ICMLW 2024 Combining Pre-Trained LoRA Modules Improves Few-Shot Adaptation of Foundation Models to New Tasks Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen
ICLR 2023 CFlowNets: Continuous Control with Generative Flow Networks Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao
ICLR 2023 DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang
IJCAI 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao
ICCV 2023 Universal Domain Adaptation via Compressive Attention Matching Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
NeurIPS 2022 Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li, Wen-shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan
CVPR 2022 Federated Learning with Position-Aware Neurons Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
ICML 2022 Personalized Federated Learning via Variational Bayesian Inference Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao