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Author search results
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- Baoxiang Wang 0001
Chinese University of Hong Kong, Department of Computer Science and Engineering, Shenzhen, China - Baoxiang Wang 0002
National Key Laboratory of Science and Technology on C4ISR, Nanjing, China - Baoxiang Wang 0003
North University of China, School of Mechanical and Power Engineering, Taiyuan, China - Baoxiang Wang 0004
Double Coin Group (Jiangsu) Tyre Co. Ltd, Rugao, China - Baoxiang Wang 0005
Xi'an Jiaotong University, School of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, China - show all
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Publication search results
found 103 matches
- 2024
- Simiao Wang, Baichao Sun, Yiming Wang, Baoxiang Du:
Image encryption algorithm using multi-base diffusion and a new four-dimensional chaotic system. Multim. Tools Appl. 83(4): 10039-10060 (2024) - Jing Ren, Changying Wang, Ling Sun, Baoxiang Huang, Deyu Zhang, Jiadong Mu, Jianqiang Wu:
Prediction of Sea Surface Temperature Using U-Net Based Model. Remote. Sens. 16(7): 1205 (2024) - Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha:
Learning Fair Representations via Distance Correlation Minimization. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2139-2152 (2024) - Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han:
Relative Policy-Transition Optimization for Fast Policy Transfer. AAAI 2024: 16164-16172 - Jing Dong, Baoxiang Wang, Yaoliang Yu:
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games. AISTATS 2024: 2044-2052 - Jing Dong, Baoxiang Wang, Yaoliang Yu:
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games. CoRR abs/2404.06516 (2024) - 2023
- Meiming You, Fei Li, Jiaqi Xi, Guoqiang Wang, Baoxiang Du:
Multilayer time delay reservoir with double feedback loops for time series forecasting task. Appl. Soft Comput. 138: 110179 (2023) - Yiming Wang, Xiangxin Leng, Chenkai Zhang, Baoxiang Du:
Adaptive Fast Image Encryption Algorithm Based on Three-Dimensional Chaotic System. Entropy 25(10): 1399 (2023) - Mengxi Xu, Wei Wang, Carol Xiaojuan Ou, Baoxiang Song:
Does IT matter for work meaningfulness?: Exploring the mediating role of job crafting. Inf. Technol. People 36(1): 313-331 (2023) - Ning Zhang, Yumei Ma, Zhenkuan Pan, Baoxiang Huang, Dongcheng Wang:
Identification for the Low-Contrast Image Signal with Regularized Variational Term and Dynamical Saturating Nonlinearity. J. Syst. Sci. Complex. 36(3): 1089-1102 (2023) - Yujie Wan, Simiao Wang, Baoxiang Du:
A bit plane image encryption algorithm based on compound chaos. Multim. Tools Appl. 82(14): 22103-22121 (2023) - Xuan Xiong, Xiaopeng Wang, Jiahua Zhang, Baoxiang Huang, Runfeng Du:
TCUNet: A Lightweight Dual-Branch Parallel Network for Sea-Land Segmentation in Remote Sensing Images. Remote. Sens. 15(18): 4413 (2023) - Ao Wang, Baoxiang Huang, Jie Yang, Ge Chen, Milena Radenkovic:
SCMNet: Toward Subsurface Chlorophyll Maxima Prediction Using Embeddings and Bi-GRU Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 9944-9950 (2023) - Qi Tian, Kun Kuang, Furui Liu, Baoxiang Wang:
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning. AAAI 2023: 11672-11680 - Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang:
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. AAMAS 2023: 2640-2642 - Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li:
Online Influence Maximization under Decreasing Cascade Model. AAMAS 2023: 2197-2204 - Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. AAMAS 2023: 819-828 - Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li:
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition. ICLR 2023 - Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. IJCAI 2023: 4638-4646 - Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen:
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning. NeurIPS 2023 - Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Information Design in Multi-Agent Reinforcement Learning. NeurIPS 2023 - Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li:
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback. NeurIPS 2023 - Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. WSDM 2023: 985-993 - Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li:
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. CoRR abs/2302.06834 (2023) - Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. CoRR abs/2302.11917 (2023) - Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Information Design in Multi-Agent Reinforcement Learning. CoRR abs/2305.06807 (2023) - Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR abs/2305.10865 (2023) - Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao, Shuai Li:
Online Influence Maximization under Decreasing Cascade Model. CoRR abs/2305.15428 (2023) - Jingwei Li, Jing Dong, Baoxiang Wang, Jingzhao Zhang:
Online Control with Adversarial Disturbance for Continuous-time Linear Systems. CoRR abs/2306.01952 (2023) - Jing Dong, Jingyu Wu, Siwei Wang, Baoxiang Wang, Wei Chen:
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games. CoRR abs/2306.13673 (2023)
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