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ORCIDMengyue Yang
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2020 – today
- 2025
[j4]Mengyue Yang, Wenjie Dong, Liangyan Tao
, Sifeng Liu:
Single machine scheduling problem with unexpected failures under flexible maintenance. J. Oper. Res. Soc. 76(1): 180-193 (2025)- [c13]Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang:
Causal Representation Learning from Multimodal Biomedical Observations. ICLR 2025 - [c12]Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang:
Efficient Reinforcement Learning with Large Language Model Priors. ICLR 2025 - [i21]Yiwei Shi, Mengyue Yang, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu:
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields. CoRR abs/2501.13084 (2025) - [i20]Yiwei Shi, Jingyu Hu, Yu Zhang, Mengyue Yang, Weinan Zhang, Cunjia Liu, Weiru Liu:
Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering. CoRR abs/2501.18501 (2025) - [i19]Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang:
MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework. CoRR abs/2504.21582 (2025) - 2024
- [j3]Wenjie Dong, Junliang Du, Mengyue Yang, Sifeng Liu:
Implementing a bivariate ordering and replacement policy for deteriorating systems with two failure types. Int. Trans. Oper. Res. 31(4): 2716-2733 (2024) - [c11]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW 2024: 1350-1361 - [i18]Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. CoRR abs/2401.12553 (2024) - [i17]Xidong Feng, Ziyu Wan, Mengyue Yang, Ziyan Wang, Girish A. Koushik, Yali Du, Ying Wen, Jun Wang:
Natural Language Reinforcement Learning. CoRR abs/2402.07157 (2024) - [i16]Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang:
Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games. CoRR abs/2405.16588 (2024) - [i15]Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang:
Efficient Reinforcement Learning with Large Language Model Priors. CoRR abs/2410.07927 (2024) - [i14]Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang:
Causal Representation Learning from Multimodal Biological Observations. CoRR abs/2411.06518 (2024) - [i13]Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang:
Natural Language Reinforcement Learning. CoRR abs/2411.14251 (2024) - [i12]Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Alexander D'Amour, Matt J. Kusner:
When Can Proxies Improve the Sample Complexity of Preference Learning? CoRR abs/2412.16475 (2024) - 2023
- [j2]Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [c10]Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM 2023: 1004-1013 - [c9]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. KDD 2023: 2978-2987 - [c8]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS 2023 - [c7]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS 2023 - [c6]Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang:
Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS 2023 - [c5]Mengyue Yang, Jun Wang, Jean-Francois Ton:
Rectifying Unfairness in Recommendation Feedback Loop. SIGIR 2023: 28-37 - [i11]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR abs/2306.09200 (2023) - [i10]Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang:
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CoRR abs/2308.02860 (2023) - [i9]Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang:
Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR abs/2309.12559 (2023) - [i8]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. CoRR abs/2310.04230 (2023) - [i7]Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang:
Specify Robust Causal Representation from Mixed Observations. CoRR abs/2310.13892 (2023) - 2022
- [i6]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i5]Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022) - 2021
- [c4]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CIKM 2021: 2342-2351 - [c3]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR 2021: 9593-9602 - [c2]Junruo Gao, Mengyue Yang, Yuyang Liu, Jun Li:
Deconfounding Representation Learning Based on User Interactions in Recommendation Systems. PAKDD (2) 2021: 588-599 - [i4]Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. CoRR abs/2109.02444 (2021) - 2020
- [c1]Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. WWW 2020: 292-302 - [i3]Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. CoRR abs/2004.01136 (2020) - [i2]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR abs/2004.08697 (2020) - [i1]Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang:
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. CoRR abs/2012.14228 (2020)
2010 – 2019
- 2018
- [j1]Chuanwei Zhang, Buyuan Guo, Mengyue Yang, Hongjun Zeng, Jianping Wen:
A Study for Moving Object Extraction Method of Intelligent Vehicle Omnidirectional Lidar. J. Inf. Hiding Multim. Signal Process. 9(6): 1380-1390 (2018)
Coauthor Index
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