Lu, Chaochao

21 publications

ICLR 2025 ADAM: An Embodied Causal Agent in Open-World Environments Shu Yu, Chaochao Lu

ICLR 2025 Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

ICML 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

ICLRW 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

ICML 2025 Emergent Response Planning in LLMs Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu

NeurIPS 2025 VLMs Can Aggregate Scattered Training Patches Zhanhui Zhou, Lingjie Chen, Chao Yang, Chaochao Lu

ICML 2025 Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen

AAAI 2024 ACAMDA: Improving Data Efficiency in Reinforcement Learning Through Guided Counterfactual Data Augmentation Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang

AAAI 2024 ConditionVideo: Training-Free Condition-Guided Video Generation Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao

NeurIPS 2024 Prediction with Action: Visual Policy Learning via Joint Denoising Process Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen

AAAI 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

NeurIPS 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

ICML 2022 Action-Sufficient State Representation Learning for Control with Structural Constraints Biwei Huang, Chaochao Lu, Liu Leqi, Jose Miguel Hernandez-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang

ICLRW 2022 Action-Sufficient State Representation Learning for Control with Structural Constraints Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang

ICLR 2022 AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang

ICLRW 2022 Invariant Causal Representation Learning for Generalization in Imitation and Reinforcement Learning Chaochao Lu, José Miguel Hernández-Lobato, Bernhard Schölkopf

ICLR 2022 Invariant Causal Representation Learning for Out-of-Distribution Generalization Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf

CVPR 2017 Flexible Spatio-Temporal Networks for Video Prediction Chaochao Lu, Michael Hirsch, Bernhard Scholkopf

AAAI 2015 Surpassing Human-Level Face Verification Performance on LFW with GaussianFace Chaochao Lu, Xiaoou Tang

ECCV 2014 Learning the Face Prior for Bayesian Face Recognition Chaochao Lu, Xiaoou Tang

ICCV 2013 Face Recognition Using Face Patch Networks Chaochao Lu, Deli Zhao, Xiaoou Tang