Chaochao Lu

According to our database, Chaochao Lu authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective.

Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu

CoRR, 2024

Distribution-consistency Structural Causal Models.

Heyang Gong, Chaochao Lu, Yu Zhang

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ConditionVideo: Training-Free Condition-Guided Video Generation.

Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation.

Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao

CoRR, 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the International Conference on Machine Learning, 2022

Invariant Causal Representation Learning for Out-of-Distribution Generalization.

Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Nonlinear Invariant Risk Minimization: A Causal Approach.

Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf

CoRR, 2021

2020

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation.

Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

CoRR, 2020

Interpreting Spatially Infinite Generative Models.

Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman

CoRR, 2020

2018

Deconfounding Reinforcement Learning in Observational Settings.

Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato

CoRR, 2018

2017

Flexible Spatio-Temporal Networks for Video Prediction.

Chaochao Lu, Michael Hirsch, Bernhard Schölkopf

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace.

Chaochao Lu, Xiaoou Tang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning the Face Prior for Bayesian Face Recognition.

Chaochao Lu, Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Face Recognition Using Face Patch Networks.

Chaochao Lu, Deli Zhao, Xiaoou Tang

Proceedings of the IEEE International Conference on Computer Vision, 2013