Minheng Xiao

According to our database, Minheng Xiao authored at least 9 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions.

Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na

Mach. Learn., August, 2025

Likelihood Reward Redistribution.

Minheng Xiao, Zhenbang Jiao

CoRR, March, 2025

2024

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks.

Yuxin Dong, Jianhua Yao, Jiajing Wang, Yingbin Liang, Shuhan Liao, Minheng Xiao

CoRR, 2024

Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function.

Hongye Zheng, Bingxing Wang, Minheng Xiao, Honglin Qin, Zhizhong Wu, Lianghao Tan

CoRR, 2024

Electroencephalogram Emotion Recognition via AUC Maximization.

Minheng Xiao, Shi Bo

CoRR, 2024

Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning.

Shi Bo, Minheng Xiao

CoRR, 2024

Multiple Greedy Quasi-Newton Methods for Saddle Point Problems.

Minheng Xiao, Shi Bo, Zhizhong Wu

CoRR, 2024

Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence.

Minheng Xiao, Xian Yu, Lei Ying

CoRR, 2024

Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning.

Zixiang Wang, Hao Yan, Changsong Wei, Junyu Wang, Shi Bo, Minheng Xiao

Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024