Minheng Xiao

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Reward Redistribution via Gaussian Process Likelihood Estimation.
AAAI
Minheng Xiao, Xian Yu
2025 J jnl
Likelihood Reward Redistribution.
CoRR
Minheng Xiao, Zhenbang Jiao
2025 J jnl
Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions.
Mach. Learn.
Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na
2024 J jnl
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function.
CoRR
Hongye Zheng, Bingxing Wang, Minheng Xiao, Honglin Qin, Zhizhong Wu, Lianghao Tan
2024 J jnl
Electroencephalogram Emotion Recognition via AUC Maximization.
Algorithms
Minheng Xiao, Shi Bo
2024 J jnl
Electroencephalogram Emotion Recognition via AUC Maximization.
CoRR
Minheng Xiao, Shi Bo
2024 J jnl
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems.
CoRR
Minheng Xiao, Shi Bo, Zhizhong Wu
2024 J jnl
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence.
CoRR
Minheng Xiao, Xian Yu, Lei Ying
2024 — conf
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning.
IoTML
Zixiang Wang, Hao Yan, Changsong Wei, Junyu Wang, Shi Bo, Minheng Xiao
2024 J jnl
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning.
CoRR
Zixiang Wang, Hao Yan, Changsong Wei, Junyu Wang, Shi Bo, Minheng Xiao
2024 J jnl
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning.
Algorithms
Shi Bo, Minheng Xiao
2024 J jnl
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning.
CoRR
Shi Bo, Minheng Xiao