Establishment of rule dictionary for efficient XACML policy management. - Fan Deng 003; Liyong Zhang; Changyu Zhang; Hao Ban; Chang-Dong Wang 001; Minghao Shi; Chao Chen; Enti Zhang (Knowl. Based Syst., 2019)

Gaussian Mixture Variational Autoencoder for Semi-Supervised Topic Modeling. - Cangqi Zhou; Hao Ban; Jing Zhang 015; Qianmu Li; Yinghua Zhang (IEEE Access, 2020)

Skillearn: Machine Learning Inspired by Humans' Learning Skills. - Pengtao Xie; Xuefeng Du; Hao Ban (CoRR, 2020)

E-commerce satisfaction based on synthetic evaluation theory and neural networks. - Jiayin Zhao; Yong Lu; Hao Ban; Ying Chen 013 (Int. J. Comput. Sci. Eng., 2020)

Interleaving Learning, with Application to Neural Architecture Search. - Hao Ban; Pengtao Xie (CoRR, 2021)

Neural Topic Modeling with Gaussian Mixture Model and Householder Flow. - Cangqi Zhou; Sunyue Xu; Hao Ban; Jing Zhang 015 (PAKDD (2), 2022)

Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms. - Peiyao Xiao; Hao Ban; Kaiyi Ji (NeurIPS, 2023)

Fair Resource Allocation in Multi-Task Learning. - Hao Ban; Kaiyi Ji (ICML, 2024)

Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning. - Yudan Wang; Peiyao Xiao; Hao Ban; Kaiyi Ji; Shaofeng Zou (CoRR, 2024)

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis. - Yifan Yang; Hao Ban; Minhui Huang; Shiqian Ma; Kaiyi Ji (ICLR, 2025)

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation. - Hao Ban; Gokul Ram Subramani; Kaiyi Ji (CoRR, 2025)

Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning. - Yudan Wang; Peiyao Xiao; Hao Ban; Kaiyi Ji; Shaofeng Zou (IEEE Trans. Inf. Theory, 2025)