Face Recognition Using Face Patch Networks. - Chaochao Lu; Deli Zhao; Xiaoou Tang (ICCV, 2013)

Learning the Face Prior for Bayesian Face Recognition. - Chaochao Lu; Xiaoou Tang (ECCV (4), 2014)

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

Flexible Spatio-Temporal Networks for Video Prediction. - Chaochao Lu; Michael Hirsch 001; Bernhard Schölkopf (CVPR, 2017)

Deconfounding Reinforcement Learning in Observational Settings. - Chaochao Lu; Bernhard Schölkopf; José Miguel Hernández-Lobato (CoRR, 2018)

Interpreting Spatially Infinite Generative Models. - Chaochao Lu; Richard E. Turner; Yingzhen Li; Nate Kushman (CoRR, 2020)

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation. - Chaochao Lu; Biwei Huang; Ke Wang; José Miguel Hernández-Lobato; Kun Zhang 001; Bernhard Schölkopf (CoRR, 2020)

Nonlinear Invariant Risk Minimization: A Causal Approach. - Chaochao Lu; Yuhuai Wu; José Miguel Hernández-Lobato; Bernhard Schölkopf (CoRR, 2021)

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. - Biwei Huang; Fan Feng; Chaochao Lu; Sara Magliacane; Kun Zhang 001 (ICLR, 2022)

Invariant Causal Representation Learning for Out-of-Distribution Generalization. - Chaochao Lu; Yuhuai Wu; José Miguel Hernández-Lobato; Bernhard Schölkopf (ICLR, 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 001 (ICML, 2022)

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. - Junda Wu; Rui Wang 088; Handong Zhao; Ruiyi Zhang 002; Chaochao Lu; Shuai Li 010; Ricardo Henao (AAAI, 2023)

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. - Junda Wu; Tong Yu 001; Rui Wang 088; Zhao Song 002; Ruiyi Zhang 002; Handong Zhao; Chaochao Lu; Shuai Li 010; Ricardo Henao (NeurIPS, 2023)

ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation. - Bo Peng; Xinyuan Chen; Yaohui Wang 001; Chaochao Lu; Yu Qiao 001 (CoRR, 2023)

ConditionVideo: Training-Free Condition-Guided Video Generation. - Bo Peng; Xinyuan Chen; Yaohui Wang 001; Chaochao Lu; Yu Qiao 001 (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 001; Kun Zhang 001 (AAAI, 2024)

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. - Meiqi Chen 001; Yixin Cao 002; Yan Zhang 004; Chaochao Lu (EMNLP (Findings), 2024)

CELLO: Causal Evaluation of Large Vision-Language Models. - Meiqi Chen 001; Bo Peng; Yan Zhang 004; Chaochao Lu (EMNLP, 2024)

CLEAR: Can Language Models Really Understand Causal Graphs? - Sirui Chen; Mengying Xu; Kun Wang; Xingyu Zeng; Rui Zhao; Shengjie Zhao; Chaochao Lu (EMNLP (Findings), 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 (NeurIPS, 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 006; Guodong Zheng; Hongxing Fan; Hongzhi Gao; Jie Zhang 074; Jing Shao; Jingyi Deng; Jinlan Fu; Kexin Huang; Kunchang Li 002; Lijun Li; et al. (CoRR, 2024)

Distribution-consistency Structural Causal Models. - Heyang Gong; Chaochao Lu; Yu Zhang (CoRR, 2024)

Causal Evaluation of Language Models. - Sirui Chen; Bo Peng; Meiqi Chen 001; Ruiqi Wang; Mengying Xu; Xingyu Zeng; Rui Zhao 001; Shengjie Zhao 001; Yu Qiao 001; Chaochao Lu (CoRR, 2024)

OASIS: Open Agent Social Interaction Simulations with One Million Agents. - Ziyi Yang; Zaibin Zhang; Zirui Zheng; Yuxian Jiang; Ziyue Gan; Zhiyu Wang; Zijian Ling; Jinsong Chen; Martz Ma; Bowen Dong; Prateek Gupta; Shuyue Hu; et al. (CoRR, 2024)

Towards AI-45° Law: A Roadmap to Trustworthy AGI. - Chao Yang; Chaochao Lu; Yingchun Wang; Bowen Zhou (CoRR, 2024)

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 (CoRR, 2024)

From Imitation to Introspection: Probing Self-Consciousness in Language Models. - Sirui Chen; Shu Yu; Shengjie Zhao; Chaochao Lu (ACL (Findings), 2025)

Adversarial Preference Learning for Robust LLM Alignment. - Yuanfu Wang; Pengyu Wang; Chenyang Xi; Bo Tang 011; Junyi Zhu 015; Wenqiang Wei; Chen Chen; Chao Yang; Jingfeng Zhang; Chaochao Lu; Yijun Niu; Keming Mao; et al. (ACL (Findings), 2025)

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. - Yize Zhang; Tianshu Wang 002; Sirui Chen; Kun Wang; Xingyu Zeng; Hongyu Lin; Xianpei Han; Le Sun 001; Chaochao Lu (ACL (1), 2025)

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability. - Yujin Han; Lei Xu; Sirui Chen; Difan Zou; Chaochao Lu (ICLR, 2025)

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

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

Emergent Response Planning in LLM. - Zhichen Dong; Zhanhui Zhou; Zhixuan Liu; Chao Yang; Chaochao Lu (CoRR, 2025)

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. - Xiaoye Qu; Yafu Li; Zhaochen Su; Weigao Sun; Jianhao Yan; Dongrui Liu; Ganqu Cui; Daizong Liu; Shuxian Liang; Junxian He; Peng Li 030; Wei Wei 002; et al. (CoRR, 2025)

IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. - Bangwei Liu; Yicheng Bao; Shaohui Lin; Xuhong Wang; Xin Tan 002; Yingchun Wang; Yuan Xie 006; Chaochao Lu (CoRR, 2025)

Bare Minimum Mitigations for Autonomous AI Development. - Joshua Clymer; Isabella Duan; Chris Cundy; Yawen Duan; Fynn Heide; Chaochao Lu; Sören Mindermann; Conor McGurk; Xudong Pan; Saad Siddiqui; Jingren Wang; Min Yang; et al. (CoRR, 2025)

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks. - Sirui Chen; Shuqin Ma; Shu Yu; Hanwang Zhang; Shengjie Zhao; Chaochao Lu (CoRR, 2025)

IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data. - Bo Peng; Zhiheng Wang; Heyang Gong; Chaochao Lu (CoRR, 2025)

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback. - Xiaoying Zhang; Hao Sun 012; Yipeng Zhang; Kaituo Feng; Chaochao Lu; Chao Yang; Helen Meng (CoRR, 2025)

VLMs Can Aggregate Scattered Training Patches. - Zhanhui Zhou; Lingjie Chen; Chao Yang; Chaochao Lu (CoRR, 2025)

Mitigating Object Hallucination via Robust Local Perception Search. - Zixian Gao; Chao Yang; Zhanhui Zhou; Xing Xu; Chaochao Lu (CoRR, 2025)

Synthesis by Design: Controlled Data Generation via Structural Guidance. - Lei Xu; Sirui Chen; Yuxuan Huang; Chaochao Lu (CoRR, 2025)

SafeCoT: Improving VLM Safety with Minimal Reasoning. - Jiachen Ma; Zhanhui Zhou; Chao Yang; Chaochao Lu (CoRR, 2025)

RePO: Replay-Enhanced Policy Optimization. - Siheng Li; Zhanhui Zhou; Wai Lam; Chao Yang; Chaochao Lu (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration. - Jingjing Qu; Kejia Hu; Jun Zhu; Wenhao Li 001; Teng Wang; Zhiyun Chen; Yulei Ye; Chaochao Lu; Aimin Zhou; Xiangfeng Wang; James Evans (CoRR, 2025)

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs. - Zichen Wen; Jiashu Qu; Dongrui Liu; Zhiyuan Liu; Ruixi Wu; Yicun Yang; Xiangqi Jin; Haoyun Xu; Xuyang Liu; Weijia Li; Chaochao Lu; Jing Shao; et al. (CoRR, 2025)

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report. - Xiaoyang Chen; Yunhao Chen; Zeren Chen; Zhiyun Chen; Hanyun Cui; Yawen Duan; Jiaxuan Guo; Qi Guo; Xuhao Hu; Hong Huang; Lige Huang; Chunxiao Li; et al. (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)

VRPRM: Process Reward Modeling via Visual Reasoning. - Xinquan Chen; Bangwei Liu; Xuhong Wang; Yingchun Wang; Chaochao Lu (CoRR, 2025)

Interpreting Low-Level Vision Models With Causal Effect Maps. - Jinfan Hu; Jinjin Gu; Shiyao Yu; Fanghua Yu; Zheyuan Li; Zhiyuan You; Chaochao Lu; Chao Dong 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)