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ORCIDYuhui Wang 0004
Person information
- affiliation: King Abdullah University of Science and Technology, Saudi Arabia
- affiliation (former): Nanjing University of Aeronautics & Astronautics, College of Automation Engineering, China
Other persons with the same name
- Yuhui Wang (aka: Yu-Hui Wang) — disambiguation page
- Yuhui Wang 0001
![[0000-0002-7389-0839]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-7389-0839")
— University of Michigan-Dearborn, Department of Electrical and Computer Engineering, Dearborn, MI, USA - Yuhui Wang 0002 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Yuhui Wang 0003 — State University of New York at Stony Brook, NY, USA (and 1 more)
- Yu-Hui Wang 0005 (aka: Yuhui Wang 0005) — National Taipei University of Technology, Taipei, Taiwan (and 1 more)
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2020 – today
- 2026
[i18]Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yanning Dai, Shilong Deng, Sarra Habchi, Qi Zhu, Matthias Gallé, Chao Huang:
A Unified Framework for Rethinking Policy Divergence Measures in GRPO. CoRR abs/2602.05494 (2026)- [i17]Yanning Dai, Yuhui Wang, Dylan R. Ashley, Jürgen Schmidhuber:
Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization. CoRR abs/2603.15388 (2026) - [i16]Alfonso Amayuelas, Firas Laakom, Piotr Piekos, Wenyi Wang, Yifan Xu, Yuhui Wang, Jürgen Schmidhuber, William Yang Wang:
Planning to Explore: Curiosity-Driven Planning for LLM Test Generation. CoRR abs/2604.05159 (2026) - 2025
- [j5]Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber:
Mindstorms in Natural Language-Based Societies of Mind. Comput. Vis. Media 11(1): 29-81 (2025) - [j4]Yao Li, Yuhui Wang, Xiaoyang Tan:
Highly valued subgoal generation for efficient goal-conditioned reinforcement learning. Neural Networks 181: 106825 (2025) - [c13]Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jürgen Schmidhuber:
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. ICML 2025 - [c12]Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang:
Directly Forecasting Belief for Reinforcement Learning with Delays. ICML 2025 - [i15]Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang:
Directly Forecasting Belief for Reinforcement Learning with Delays. CoRR abs/2505.00546 (2025) - 2024
- [c11]Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber:
Highway Value Iteration Networks. ICML 2024: 50807-50821 - [c10]Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang:
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays. ICML 2024: 53973-53998 - [c9]Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang:
Variational Delayed Policy Optimization. NeurIPS 2024 - [i14]Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang:
Variational Delayed Policy Optimization. CoRR abs/2405.14226 (2024) - [i13]Yuhui Wang, Miroslav Strupl, Francesco Faccio, Qingyuan Wu, Haozhe Liu, Michal Grudzien, Xiaoyang Tan, Jürgen Schmidhuber:
Highway Reinforcement Learning. CoRR abs/2405.18289 (2024) - [i12]Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen Schmidhuber:
Highway Value Iteration Networks. CoRR abs/2406.03485 (2024) - [i11]Yuhui Wang, Qingyuan Wu, Weida Li, Dylan R. Ashley, Francesco Faccio, Chao Huang, Jürgen Schmidhuber:
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. CoRR abs/2406.08404 (2024) - 2023
- [j3]Xinghu Yao, Chao Wen, Yuhui Wang, Xiaoyang Tan:
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(1): 52-63 (2023) - [c8]Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber:
Learning to Identify Critical States for Reinforcement Learning from Videos. ICCV 2023: 1955-1965 - [i10]Deyao Zhu, Yuhui Wang, Jürgen Schmidhuber, Mohamed Elhoseiny:
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining. CoRR abs/2301.12876 (2023) - [i9]Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber:
Mindstorms in Natural Language-Based Societies of Mind. CoRR abs/2305.17066 (2023) - [i8]Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber:
Learning to Identify Critical States for Reinforcement Learning from Videos. CoRR abs/2308.07795 (2023) - 2022
- [j2]Yao Li, Yuhui Wang, Yaozhong Gan, Xiaoyang Tan:
Alleviating the estimation bias of deep deterministic policy gradient via co-regularization. Pattern Recognit. 131: 108872 (2022) - [c7]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM 2022: 1129-1139 - 2021
- [c6]Yuhui Wang, Xiaoyang Tan:
Deep Recurrent Belief Propagation Network for POMDPs. AAAI 2021: 10236-10244 - [i7]Yuhui Wang, Pengcheng He, Xiaoyang Tan:
Greedy Multi-step Off-Policy Reinforcement Learning. CoRR abs/2102.11717 (2021) - [i6]Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. CoRR abs/2106.06224 (2021) - 2020
- [c5]Chao Wen, Xinghu Yao, Yuhui Wang, Xiaoyang Tan:
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. AAAI 2020: 7301-7308 - [c4]Junting Fang, Xiaoyang Tan, Yuhui Wang:
ACRM: Attention Cascade R-CNN with Mix-NMS for Metallic Surface Defect Detection. ICPR 2020: 423-430
2010 – 2019
- 2019
- [j1]Xin Jin, Yuhui Wang, Xiaoyang Tan:
Pornographic Image Recognition via Weighted Multiple Instance Learning. IEEE Trans. Cybern. 49(12): 4412-4420 (2019) - [c3]Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan:
Trust Region-Guided Proximal Policy Optimization. NeurIPS 2019: 624-634 - [c2]Yuhui Wang, Hao He, Xiaoyang Tan:
Truly Proximal Policy Optimization. UAI 2019: 113-122 - [i5]Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan:
Trust Region-Guided Proximal Policy Optimization. CoRR abs/1901.10314 (2019) - [i4]Xin Jin, Yuhui Wang, Xiaoyang Tan:
Pornographic Image Recognition via Weighted Multiple Instance Learning. CoRR abs/1902.03771 (2019) - [i3]Yuhui Wang, Hao He, Xiaoyang Tan:
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations. CoRR abs/1902.05795 (2019) - [i2]Yuhui Wang, Hao He, Xiaoyang Tan:
Truly Proximal Policy Optimization. CoRR abs/1903.07940 (2019) - [i1]Xinghu Yao, Chao Wen, Yuhui Wang, Xiaoyang Tan:
SMIX($λ$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/1911.04094 (2019) - 2016
- [c1]Yuhui Wang, Xin Jin, Xiaoyang Tan:
Pornographic image recognition by strongly-supervised deep multiple instance learning. ICIP 2016: 4418-4422
Coauthor Index
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