Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming. - Bo Zhao 015; Derong Liu 001; Mingming Ha; Ding Wang 001; Yancai Xu; Qinglai Wei (ICONIP (7), 2018)

Data-based composite control design with critic intelligence for a wastewater treatment platform. - Ding Wang 001; Mingming Ha; Junfei Qiao 001; Jun Yan 007; Yingbo Xie (Artif. Intell. Rev., 2020)

Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems. - Mingming Ha; Ding Wang 001; Derong Liu 001 (Inf. Sci., 2020)

Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation. - Ding Wang 001; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Autom. Control., 2020)

Event-Triggered Adaptive Critic Control Design for Discrete-Time Constrained Nonlinear Systems. - Mingming Ha; Ding Wang 001; Derong Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems. - Ding Wang 001; Mingming Zhao; Mingming Ha; Lingzhi Hu (Eng. Appl. Artif. Intell., 2021)

Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee. - Mingming Ha; Ding Wang 001; Derong Liu 001 (Neural Networks, 2021)

Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application. - Ding Wang 001; Mingming Zhao; Mingming Ha; Jin Ren (Neural Networks, 2021)

Generalized value iteration for discounted optimal control with stability analysis. - Mingming Ha; Ding Wang 001; Derong Liu 001 (Syst. Control. Lett., 2021)

Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant. - Ding Wang 001; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Ind. Electron., 2021)

The intelligent critic framework for advanced optimal control. - Ding Wang 001; Mingming Ha; Mingming Zhao (Artif. Intell. Rev., 2022)

Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation. - Ying Chen; Siwei Qiang; Mingming Ha; Xiaolei Liu; Shaoshuai Li; Lingfeng Yuan; Xiaobo Guo; Zhenfeng Zhu (CoRR, 2022)

Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control. - Mingming Ha; Ding Wang 001; Derong Liu 001 (IEEE CAA J. Autom. Sinica, 2022)

Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration. - Mingming Ha; Ding Wang 001; Derong Liu 001 (IEEE Trans. Cybern., 2022)

Neural Node Matching for Multi-Target Cross Domain Recommendation. - Wujiang Xu; Shaoshuai Li; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Xiaolei Liu; Linxun Chen; Zhenfeng Zhu (ICDE, 2023)

Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning. - Xuewen Tao; Mingming Ha; Qiongxu Ma; Hongwei Cheng; Wenfang Lin; Xiaobo Guo; Linxun Chen; Bing Han 017 (RecSys, 2023)

Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations. - Xuewen Tao; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Hongwei Cheng; Wenfang Lin (CoRR, 2023)

Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games. - Mingming Zhao; Ding Wang 001; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Cybern., 2023)

Discounted linear Q-learning control with novel tracking cost and its stability. - Ding Wang 001; Jin Ren; Mingming Ha (Inf. Sci., 2023)

Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics. - Ding Wang 001; Mingming Ha; Long Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration. - Ding Wang 001; Jin Ren; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Advanced value iteration for discrete-time intelligent critic control: A survey. - Mingming Zhao; Ding Wang 001; Junfei Qiao 001; Mingming Ha; Jin Ren (Artif. Intell. Rev., 2023)

A Novel Value Iteration Scheme With Adjustable Convergence Rate. - Mingming Ha; Ding Wang 001; Derong Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation. - Ding Wang 001; Mingming Zhao; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Taoxuewen; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (NeurIPS, 2024)

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Wujiang Xu; Xuying Ning; Wenfang Lin; Mingming Ha; Qiongxu Ma; Qianqiao Liang; Xuewen Tao; Linxun Chen; Bing Han; Minnan Luo (ECML/PKDD (1), 2024)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. - Wujiang Xu; Qitian Wu; Runzhong Wang; Mingming Ha; Qiongxu Ma; Linxun Chen; Bing Han 023; Junchi Yan (WWW, 2024)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Xuewen Tao; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (CoRR, 2024)

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. - Xuying Ning; Wujiang Xu; Xiaolei Liu; Mingming Ha; Qiongxu Ma; Youru Li; Linxun Chen; Yongfeng Zhang (CoRR, 2024)

Stable approximate Q-learning under discounted cost for data-based adaptive tracking control. - Zhantao Liang; Mingming Ha; Derong Liu 001; Yonghua Wang 001 (Neurocomputing, 2024)

Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation. - Ying Chen; Siwei Qiang; Mingming Ha; Xiaolei Liu; Shaoshuai Li; Jiabi Tong; Lingfeng Yuan; Xiaobo Guo; Zhenfeng Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control. - Junfei Qiao 001; Mingming Zhao; Ding Wang 001; Mingming Ha (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Novel Discounted Adaptive Critic Control Designs With Accelerated Learning Formulation. - Mingming Ha; Ding Wang 001; Derong Liu 001 (IEEE Trans. Cybern., 2024)

Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation. - Xiaobo Guo; Mingming Ha; Xuewen Tao; Shaoshuai Li; Youru Li; Zhenfeng Zhu; Zhiyong Shen; Li Ma (ACM Trans. Knowl. Discov. Data, 2024)

Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation. - Ding Wang 001; Junlong Wu; Mingming Ha; Mingming Zhao; Menghua Li; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification. - Ding Wang 001; Ning Gao; Mingming Ha; Mingming Zhao; Junlong Wu; Junfei Qiao 001 (IEEE Trans. Cybern., 2024)

Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning. - Ding Wang 001; Mingming Zhao; Mingming Ha; Junfei Qiao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs. - Xiaodong Chen; Mingming Ha; Zhenzhong Lan; Jing Zhang; Jianguo Li (CoRR, 2025)

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation. - Guanchen Wang; Mingming Ha; Tianbao Ma; Linxun Chen; Zhaojie Liu; Guorui Zhou; Kun Gai (CoRR, 2025)