Chaochao Lu - RankMe

93 papers A* 19Journal 66Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Post-Training Transform LLMs into Causal Reasoners? CoRR Junqi Chen, Sirui Chen, Chaochao Lu
2026	J	`jnl`	CauScale: Neural Causal Discovery at Scale. CoRR Bo Peng, Sirui Chen, Jiaguo Tian, Yu Qiao, Chaochao Lu
2026	J	`jnl`	CauScientist: Teaching LLMs to Respect Data for Causal Discovery. CoRR Bo Peng, Sirui Chen, Lei Xu, Chaochao Lu
2026	A*	`conf`	DEPO: Dual-Efficiency Preference Optimization for LLM Agents. AAAI Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
2026	J	`jnl`	Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference. CoRR Wenxuan Xie, Yujia Wang, Xin Tan, Chaochao Lu, Xia Hu, Xuhong Wang
2026	J	`jnl`	Epistemic Traps: Rational Misalignment Driven by Model Misspecification. CoRR Xingcheng Xu, Jingjing Qu, Qiaosheng Zhang, Chaochao Lu, Yanqing Yang, Na Zou, Xia Hu
2026	J	`jnl`	Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5. CoRR Dongrui Liu, Yi Yu, Jie Zhang, Guanxu Chen, Qihao Lin, Hanxi Zhu, Lige Huang, Yijin Zhou, Peng Wang, Shuai Shao, Boxuan Zhang, Zicheng Liu, Jingwei Sun, Yu Li, Yuejin Xie, Jiaxuan Guo, Jia Xu, Chaochao Lu, Bowen Zhou, Xia Hu, Jing Shao
2026	J	`jnl`	HoliAntiSpoof: Audio LLM for Holistic Speech Anti-Spoofing. CoRR Xuenan Xu, Yiming Ren, Liwei Liu, Wen Wu, Baoxiang Li, Chaochao Lu, Shuai Wang, Chao Zhang
2026	J	`jnl`	KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning. CoRR Qitan Lv, Tianyu Liu, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu
2026	J	`jnl`	MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety. CoRR Xiaoyu Wen, Zhida He, Han Qi, Ziyu Wan, Zhongtian Ma, Ying Wen, Tianhang Zheng, Xingcheng Xu, Chaochao Lu, Qiaosheng Zhang
2026	J	`jnl`	Native Reasoning Models: Training Language Models to Reason on Unverifiable Data. CoRR Yuanfu Wang, Zhixuan Liu, Xiangtian Li, Chaochao Lu, Chao Yang
2026	J	`jnl`	Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment. CoRR Jingnan Zheng, Yanzhen Luo, Jingjun Xu, Bingnan Liu, Yuxin Chen, Chenhang Cui, Gelei Deng, Chaochao Lu, Xiang Wang, An Zhang, Tat-Seng Chua
2026	A*	`conf`	SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks. AAAI Yuze Liu, Chaochao Lu, Chao Yang
2026	J	`jnl`	TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios. CoRR Qiucheng Yu, Ruijie Xu, Mingang Chen, Xuequan Lu, Jianfeng Dong, Chaochao Lu, Xin Tan
2026	J	`jnl`	To Deceive is to Teach? Forging Perceptual Robustness via Adversarial Reinforcement Learning. CoRR Yicheng Bao, Xuhong Wang, Qiaosheng Zhang, Chaochao Lu, Xia Hu, Xin Tan
2025	J	`jnl`	A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng
2025	A*	`conf`	ADAM: An Embodied Causal Agent in Open-World Environments. ICLR Shu Yu, Chaochao Lu
2025	—	`conf`	ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. ACL (1) Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu
2025	J	`jnl`	ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. CoRR Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu
2025	—	`conf`	Adversarial Preference Learning for Robust LLM Alignment. ACL (Findings) Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang
2025	J	`jnl`	Adversarial Preference Learning for Robust LLM Alignment. CoRR Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang
2025	J	`jnl`	Bare Minimum Mitigations for Autonomous AI Development. CoRR Joshua Clymer, Isabella Duan, Chris Cundy, Yawen Duan, Fynn Heide, Chaochao Lu, Sören Mindermann, Conor McGurk, Xudong Pan, Saad Siddiqui, Jingren Wang, Min Yang, Xianyuan Zhan
2025	A*	`conf`	Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability. ICLR Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu
2025	A*	`conf`	Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? ICML Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
2025	J	`jnl`	Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? CoRR Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou
2025	J	`jnl`	CauSight: Learning to Supersense for Visual Causal Discovery. CoRR Yize Zhang, Meiqi Chen, Sirui Chen, Bo Peng, Yanxi Zhang, Tianyu Li, Chaochao Lu
2025	J	`jnl`	Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation. CoRR Lei Tong, Zhihua Liu, Chaochao Lu, Dino Oglic, Tom Diethe, Philip Teare, Sotirios A. Tsaftaris, Chen Jin
2025	J	`jnl`	Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback. CoRR Xiaoying Zhang, Hao Sun, Yipeng Zhang, Kaituo Feng, Chaochao Lu, Chao Yang, Helen Meng
2025	J	`jnl`	DEPO: Dual-Efficiency Preference Optimization for LLM Agents. CoRR Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
2025	J	`jnl`	Emergent Response Planning in LLM. CoRR Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu
2025	A*	`conf`	Emergent Response Planning in LLMs. ICML Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu
2025	J	`jnl`	Epitome: Pioneering an Experimental Platform for AI-Social Science Integration. CoRR Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evans
2025	J	`jnl`	Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks. CoRR Sirui Chen, Shuqin Ma, Shu Yu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
2025	—	`conf`	From Imitation to Introspection: Probing Self-Consciousness in Language Models. ACL (Findings) Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu
2025	J	`jnl`	Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report. CoRR Xiaoyang Chen, Yunhao Chen, Zeren Chen, Zhiyun Chen, Hanyun Cui, Yawen Duan, Jiaxuan Guo, Qi Guo, Xuhao Hu, Hong Huang, Lige Huang, Chunxiao Li, Juncheng Li, Qihao Lin, Dongrui Liu, Xinmin Liu, Zicheng Liu, Chaochao Lu, Xiaoya Lu, Jingjing Qu, Qibing Ren, Jing Shao, Jingwei Shi, Jingwei Sun, Peng Wang, Weibing Wang, Jia Xu, Lewen Yan, Xiao Yu, Yi Yu, Boxuan Zhang, Jie Zhang, Weichen Zhang, Zhijie Zheng, Tianyi Zhou, Bowen Zhou
2025	—	`conf`	IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. ICCVW Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu
2025	J	`jnl`	IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. CoRR Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu
2025	—	`conf`	IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data. EMNLP (Findings) Bo Peng, Zhiheng Wang, Heyang Gong, Chaochao Lu
2025	J	`jnl`	IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data. CoRR Bo Peng, Zhiheng Wang, Heyang Gong, Chaochao Lu
2025	J	`jnl`	Interpreting Low-Level Vision Models With Causal Effect Maps. IEEE Trans. Pattern Anal. Mach. Intell. Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
2025	J	`jnl`	LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models. CoRR Shu Yu, Chaochao Lu
2025	J	`jnl`	MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Risks in LLMs on Domain Tasks. CoRR Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He
2025	J	`jnl`	Mitigating Object Hallucination via Robust Local Perception Search. CoRR Zixian Gao, Chao Yang, Zhanhui Zhou, Xing Xu, Chaochao Lu
2025	J	`jnl`	R CoRR Youbang Sun, Xiang Wang, Jie Fu, Chaochao Lu, Bowen Zhou
2025	J	`jnl`	RePO: Replay-Enhanced Policy Optimization. CoRR Siheng Li, Zhanhui Zhou, Wai Lam, Chao Yang, Chaochao Lu
2025	J	`jnl`	SafeCoT: Improving VLM Safety with Minimal Reasoning. CoRR Jiachen Ma, Zhanhui Zhou, Chao Yang, Chaochao Lu
2025	J	`jnl`	Synthesis by Design: Controlled Data Generation via Structural Guidance. CoRR Lei Xu, Sirui Chen, Yuxuan Huang, Chaochao Lu
2025	J	`jnl`	The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs. CoRR Zichen Wen, Jiashu Qu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2025	J	`jnl`	Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models. CoRR Fenghua Weng, Chaochao Lu, Xia Hu, Wenqi Shao, Wenjie Wang
2025	J	`jnl`	UniCoD: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning. CoRR Jianke Zhang, Yucheng Hu, Yanjiang Guo, Xiaoyu Chen, Yichen Liu, Wenna Chen, Chaochao Lu, Jianyu Chen
2025	J	`jnl`	VLMs Can Aggregate Scattered Training Patches. CoRR Zhanhui Zhou, Lingjie Chen, Chao Yang, Chaochao Lu
2025	J	`jnl`	VRPRM: Process Reward Modeling via Visual Reasoning. CoRR Xinquan Chen, Bangwei Liu, Xuhong Wang, Yingchun Wang, Chaochao Lu
2025	A*	`conf`	Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations. ICML Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen
2025	J	`jnl`	X-Talk: On the Underestimated Potential of Modular Speech-to-Speech Dialogue System. CoRR Zhanxun Liu, Yifan Duan, Mengmeng Wang, Pengchao Feng, Haotian Zhang, Xiaoyu Xing, Yijia Shan, Haina Zhu, Yuhang Dai, Chaochao Lu, Xipeng Qiu, Lei Xie, Lan Wang, Nan Yan, Zilong Zheng, Ziyang Ma, Kai Yu, Xie Chen
2024	A*	`conf`	ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. AAAI Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang
2024	J	`jnl`	ADAM: An Embodied Causal Agent in Open-World Environments. CoRR Shu Yu, Chaochao Lu
2024	J	`jnl`	Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability. CoRR Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu
2024	A*	`conf`	CELLO: Causal Evaluation of Large Vision-Language Models. EMNLP Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu
2024	J	`jnl`	CELLO: Causal Evaluation of Large Vision-Language Models. CoRR Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu
2024	—	`conf`	CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP (Findings) Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu
2024	J	`jnl`	CLEAR: Can Language Models Really Understand Causal Graphs? CoRR Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu
2024	J	`jnl`	Causal Evaluation of Language Models. CoRR Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu
2024	A*	`conf`	ConditionVideo: Training-Free Condition-Guided Video Generation. AAAI Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao
2024	J	`jnl`	Distribution-consistency Structural Causal Models. CoRR Heyang Gong, Chaochao Lu, Yu Zhang
2024	J	`jnl`	From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR 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
2024	J	`jnl`	From Imitation to Introspection: Probing Self-Consciousness in Language Models. CoRR Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu
2024	J	`jnl`	Interpreting Low-level Vision Models with Causal Effect Maps. CoRR Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
2024	J	`jnl`	OASIS: Open Agent Social Interaction Simulations with One Million Agents. CoRR Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, Jing Shao
2024	A*	`conf`	Prediction with Action: Visual Policy Learning via Joint Denoising Process. NeurIPS Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen
2024	J	`jnl`	Prediction with Action: Visual Policy Learning via Joint Denoising Process. CoRR Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen
2024	—	`conf`	Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. EMNLP (Findings) Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu
2024	J	`jnl`	Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. CoRR Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu
2024	J	`jnl`	Towards AI-45° Law: A Roadmap to Trustworthy AGI. CoRR Chao Yang, Chaochao Lu, Yingchun Wang, Bowen Zhou
2024	J	`jnl`	Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations. CoRR Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen
2023	J	`jnl`	ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation. CoRR Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao
2023	A*	`conf`	Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
2023	A*	`conf`	InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023	J	`jnl`	InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2022	A*	`conf`	Action-Sufficient State Representation Learning for Control with Structural Constraints. ICML Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
2022	A*	`conf`	AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. ICLR Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
2022	A*	`conf`	Invariant Causal Representation Learning for Out-of-Distribution Generalization. ICLR Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf
2021	J	`jnl`	Action-Sufficient State Representation Learning for Control with Structural Constraints. CoRR Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
2021	J	`jnl`	AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. CoRR Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
2021	J	`jnl`	Nonlinear Invariant Risk Minimization: A Causal Approach. CoRR Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf
2020	J	`jnl`	Interpreting Spatially Infinite Generative Models. CoRR Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman
2020	J	`jnl`	Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation. CoRR Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf
2018	J	`jnl`	Deconfounding Reinforcement Learning in Observational Settings. CoRR Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato
2017	A*	`conf`	Flexible Spatio-Temporal Networks for Video Prediction. CVPR Chaochao Lu, Michael Hirsch, Bernhard Schölkopf
2015	A*	`conf`	Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. AAAI Chaochao Lu, Xiaoou Tang
2014	—	`conf`	Learning the Face Prior for Bayesian Face Recognition. ECCV (4) Chaochao Lu, Xiaoou Tang
2014	J	`jnl`	Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. CoRR Chaochao Lu, Xiaoou Tang
2013	A*	`conf`	Face Recognition Using Face Patch Networks. ICCV Chaochao Lu, Deli Zhao, Xiaoou Tang