Chaochao Lu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Face Verification

Structural Constraints

Top Venues

Publications

Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu
Causal Evaluation of Language Models. CoRR (2024)
Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. AAAI (2024)
Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
Interpreting Low-level Vision Models with Causal Effect Maps. CoRR (2024)
Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu
CELLO: Causal Evaluation of Large Vision-Language Models. CoRR (2024)
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
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR (2024)
Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. CoRR (2024)
Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao
ConditionVideo: Training-Free Condition-Guided Video Generation. AAAI (2024)
Heyang Gong, Chaochao Lu, Yu Zhang
Distribution-consistency Structural Causal Models. CoRR (2024)
Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu
CLEAR: Can Language Models Really Understand Causal Graphs? CoRR (2024)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS (2023)
Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao
ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation. CoRR (2023)
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI (2023)
Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf
Invariant Causal Representation Learning for Out-of-Distribution Generalization. ICLR (2022)
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Action-Sufficient State Representation Learning for Control with Structural Constraints. ICML (2022)
Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. ICLR (2022)
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
Action-Sufficient State Representation Learning for Control with Structural Constraints. CoRR (2021)
Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. CoRR (2021)
Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf
Nonlinear Invariant Risk Minimization: A Causal Approach. CoRR (2021)
Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman
Interpreting Spatially Infinite Generative Models. CoRR (2020)
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation. CoRR (2020)
Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato
Deconfounding Reinforcement Learning in Observational Settings. CoRR (2018)
Chaochao Lu, Michael Hirsch, Bernhard Schölkopf
Flexible Spatio-Temporal Networks for Video Prediction. CVPR (2017)
Chaochao Lu, Xiaoou Tang
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. AAAI (2015)
Chaochao Lu, Xiaoou Tang
Learning the Face Prior for Bayesian Face Recognition. ECCV (4) (2014)
Chaochao Lu, Xiaoou Tang
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. CoRR (2014)
Chaochao Lu, Deli Zhao, Xiaoou Tang
Face Recognition Using Face Patch Networks. ICCV (2013)