A Study for Moving Object Extraction Method of Intelligent Vehicle Omnidirectional Lidar. - Chuanwei Zhang; Buyuan Guo; Mengyue Yang; Hongjun Zeng; Jianping Wen (J. Inf. Hiding Multim. Signal Process., 2018)

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. - Mengyue Yang; Qingyang Li 001; Zhiwei (Tony) Qin; Jieping Ye (WWW, 2020)

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CoRR, 2020)

Causal World Models by Unsupervised Deconfounding of Physical Dynamics. - Minne Li; Mengyue Yang; Furui Liu; Xu Chen 017; Zhitang Chen; Jun Wang 012 (CoRR, 2020)

Top-N Recommendation with Counterfactual User Preference Simulation. - Mengyue Yang; Quanyu Dai; Zhenhua Dong; Xu Chen 017; Xiuqiang He 001; Jun Wang 012 (CIKM, 2021)

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CVPR, 2021)

Deconfounding Representation Learning Based on User Interactions in Recommendation Systems. - Junruo Gao; Mengyue Yang; Yuyang Liu; Jun Li 002 (PAKDD (2), 2021)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

Generalizable Information Theoretic Causal Representation. - Mengyue Yang; Xinyu Cai; Furui Liu; Xu Chen 017; Zhitang Chen; Jianye Hao; Jun Wang 012 (CoRR, 2022)

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Mengyue Yang; Yang Wang 019; Yali Du 001; Yong Yu 001; Jun Wang 012 (CIKM, 2023)

Specify Robust Causal Representation from Mixed Observations. - Mengyue Yang; Xinyu Cai; Furui Liu; Weinan Zhang 001; Jun Wang 012 (KDD, 2023)

ChessGPT: Bridging Policy Learning and Language Modeling. - Xidong Feng; Yicheng Luo; Ziyan Wang; Hongrui Tang; Mengyue Yang; Kun Shao; David Mguni; Yali Du 001; Jun Wang 012 (NeurIPS, 2023)

Lending Interaction Wings to Recommender Systems with Conversational Agents. - Jiarui Jin; Xianyu Chen; Fanghua Ye 001; Mengyue Yang; Yue Feng 002; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (NeurIPS, 2023)

Invariant Learning via Probability of Sufficient and Necessary Causes. - Mengyue Yang; Yonggang Zhang 003; Zhen Fang 001; Yali Du 001; Furui Liu; Jean-Francois Ton; Jianhong Wang; Jun Wang 012 (NeurIPS, 2023)

Rectifying Unfairness in Recommendation Feedback Loop. - Mengyue Yang; Jun Wang 012; Jean-Francois Ton (SIGIR, 2023)

Invariant Learning via Probability of Sufficient and Necessary Causes. - Mengyue Yang; Zhen Fang 001; Yonggang Zhang 003; Yali Du 001; Furui Liu; Jean-Francois Ton; Jun Wang 012 (CoRR, 2023)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. - Jiarui Jin; Zexue He; Mengyue Yang; Weinan Zhang 001; Yong Yu 001; Jun Wang 012; Julian J. McAuley (WWW, 2024)

Natural Language Reinforcement Learning. - Xidong Feng; Ziyu Wan; Mengyue Yang; Ziyan Wang; Girish A. Koushik; Yali Du 001; Ying Wen 001; Jun Wang 012 (CoRR, 2024)

Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. - Anjie Liu; Jianhong Wang; Haoxuan Li 001; Xu Chen 017; Jun Wang 012; Samuel Kaski; Mengyue Yang (CoRR, 2024)

Efficient Reinforcement Learning with Large Language Model Priors. - Xue Yan; Yan Song 003; Xidong Feng; Mengyue Yang; Haifeng Zhang 002; Haitham Bou-Ammar; Jun Wang 012 (CoRR, 2024)

Causal Representation Learning from Multimodal Biological Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (CoRR, 2024)

Natural Language Reinforcement Learning. - Xidong Feng; Ziyu Wan; Haotian Fu; Bo Liu 039; Mengyue Yang; Girish A. Koushik; Zhiyuan Hu; Ying Wen 001; Jun Wang 012 (CoRR, 2024)

When Can Proxies Improve the Sample Complexity of Preference Learning? - Yuchen Zhu; Daniel Augusto de Souza; Zhengyan Shi; Mengyue Yang; Pasquale Minervini; Alexander D'Amour; Matt J. Kusner (CoRR, 2024)

Implementing a bivariate ordering and replacement policy for deteriorating systems with two failure types. - Wenjie Dong; Junliang Du; Mengyue Yang; Sifeng Liu (Int. Trans. Oper. Res., 2024)

Causal Representation Learning from Multimodal Biomedical Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (ICLR, 2025)

Efficient Reinforcement Learning with Large Language Model Priors. - Xue Yan; Yan Song; Xidong Feng; Mengyue Yang; Haifeng Zhang; Haitham Bou-Ammar; Jun Wang (ICLR, 2025)

Mean Field Correlated Imitation Learning. - Zhiyu Zhao; Chengdong Ma; Qirui Mi; Ning Yang 005; Xue Yan; Mengyue Yang; Haifeng Zhang; Jun Wang 012; Yaodong Yang 001 (AAMAS, 2025)

Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields. - Yiwei Shi; Mengyue Yang; Qi Zhang; Weinan Zhang 001; Cunjia Liu; Weiru Liu (CoRR, 2025)

Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering. - Yiwei Shi; Jingyu Hu 002; Yu Zhang; Mengyue Yang; Weinan Zhang 001; Cunjia Liu; Weiru Liu (CoRR, 2025)

Single machine scheduling problem with unexpected failures under flexible maintenance. - Mengyue Yang; Wenjie Dong; Liangyan Tao; Sifeng Liu (J. Oper. Res. Soc., 2025)

MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework. - Qirui Mi; Mengyue Yang; Xiangning Yu 001; Zhiyu Zhao; Cheng Deng; Bo An 001; Haifeng Zhang; Xu Chen; Jun Wang 012 (CoRR, 2025)

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining. - Hao Yang; Haoxuan Li; Mengyue Yang; Xu Chen; Mingming Gong (CoRR, 2025)

Fine-Grained Interpretation of Political Opinions in Large Language Models. - Jingyu Hu 002; Mengyue Yang; Mengnan Du; Weiru Liu (CoRR, 2025)

Large Language Models are Demonstration Pre-Selectors for Themselves. - Jiarui Jin; Yuwei Wu; Haoxuan Li 001; Xiaoting He; Weinan Zhang 001; Yiming Yang; Yong Yu 001; Jun Wang 012; Mengyue Yang (CoRR, 2025)

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning. - Xiangning Yu 001; Zhuohan Wang; Linyi Yang; Haoxuan Li 001; Anjie Liu; Xiao Xue 001; Jun Wang 012; Mengyue Yang (CoRR, 2025)

Curious Causality-Seeking Agents Learn Meta Causal World. - Zhiyu Zhao; Haoxuan Li; Haifeng Zhang; Jun Wang; Francesco Faccio; Jürgen Schmidhuber; Mengyue Yang (CoRR, 2025)

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models. - Congmin Zheng; Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Yong Yu 001; Weinan Zhang 001; Mengyue Yang (CoRR, 2025)