| 2026 | AAAI | DEPO: Dual-Efficiency Preference Optimization for LLM Agents. | Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu |
| 2026 | AAAI | SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks. | Yuze Liu, Chaochao Lu, Chao Yang |
| 2026 | ACL | Can Post-Training Transform LLMs into Causal Reasoners? | Junqi Chen, Sirui Chen, Chaochao Lu |
| 2026 | ACL | Evolving Agentic Workflow Driven by Human-Agent Collaboration. | Yuxin Liu, Jinxuan Zhang, Yuezhang Peng, Hefeng Zhou, Xiangfeng Wang, Jiong Lou, Chentao Wu, Jie Li, Jingjing Qu, Chaochao Lu |
| 2026 | ACL | Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal. | Shuyang Zhang, Zhixuan Liu, Zhichen Dong, Hao Zhang, Chaochao Lu, Chao Yang |
| 2025 | ACL | From Imitation to Introspection: Probing Self-Consciousness in Language Models. | Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu |
| 2025 | ACL | Adversarial Preference Learning for Robust LLM Alignment. | 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 | ACL | ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search. | Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu |
| 2025 | EMNLP | IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data. | Bo Peng, Zhiheng Wang, Heyang Gong, Chaochao Lu |
| 2025 | ICCV | IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. | Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu |
| 2025 | ICLR | Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability. | Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu |
| 2025 | ICLR | ADAM: An Embodied Causal Agent in Open-World Environments. | Shu Yu, Chaochao Lu |
| 2025 | ICML | Emergent Response Planning in LLMs. | Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu |
| 2025 | ICML | Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? | Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou |
| 2025 | ICML | 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 |
| 2024 | AAAI | ConditionVideo: Training-Free Condition-Guided Video Generation. | Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao |
| 2024 | AAAI | 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 |
| 2024 | EMNLP | Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. | Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu |
| 2024 | EMNLP | CELLO: Causal Evaluation of Large Vision-Language Models. | Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu |
| 2024 | EMNLP | CLEAR: Can Language Models Really Understand Causal Graphs? | Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu |
| 2023 | AAAI | Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. | Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao |
| 2022 | ICLR | AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. | Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang |
| 2022 | ICLR | Invariant Causal Representation Learning for Out-of-Distribution Generalization. | Chaochao Lu, Yuhuai Wu, Jos Miguel Hernndez-Lobato, Bernhard Schlkopf |
| 2022 | ICML | Action-Sufficient State Representation Learning for Control with Structural Constraints. | Biwei Huang, Chaochao Lu, Liu Leqi, Jos Miguel Hernndez-Lobato, Clark Glymour, Bernhard Schlkopf, Kun Zhang |
| 2017 | CVPR | Flexible Spatio-Temporal Networks for Video Prediction. | Chaochao Lu, Michael Hirsch, Bernhard Schlkopf |
| 2015 | AAAI | Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. | Chaochao Lu, Xiaoou Tang |
| 2014 | ECCV | Learning the Face Prior for Bayesian Face Recognition. | Chaochao Lu, Xiaoou Tang |
| 2013 | ICCV | Face Recognition Using Face Patch Networks. | Chaochao Lu, Deli Zhao, Xiaoou Tang |