Mingming Ha

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Nonlinear Systems

Tracking Control

Learning Scheme

Wastewater Treatment

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Artif. Intell. Rev.

Publications

Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao
Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Zhantao Liang, Mingming Ha, Derong Liu, Yonghua Wang
Stable approximate Q-learning under discounted cost for data-based adaptive tracking control. Neurocomputing 568 (2024)
Ding Wang, Ning Gao, Mingming Ha, Mingming Zhao, Junlong Wu, Junfei Qiao
Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification. IEEE Trans. Cybern. 54 (8) (2024)
Mingming Ha, Ding Wang, Derong Liu
Novel Discounted Adaptive Critic Control Designs With Accelerated Learning Formulation. IEEE Trans. Cybern. 54 (5) (2024)
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW (2024)
Xiaobo Guo, Mingming Ha, Xuewen Tao, Shaoshuai Li, Youru Li, Zhenfeng Zhu, Zhiyong Shen, Li Ma
Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Ding Wang, Junlong Wu, Mingming Ha, Mingming Zhao, Menghua Li, Junfei Qiao
Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Mingming Ha, Xuewen Tao, Wenfang Lin, Qiongxu Ma, Wujiang Xu, Linxun Chen
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. CoRR (2024)
Junfei Qiao, Mingming Zhao, Ding Wang, Mingming Ha
Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control. IEEE Trans. Syst. Man Cybern. Syst. 54 (2) (2024)
Xuying Ning, Wujiang Xu, Xiaolei Liu, Mingming Ha, Qiongxu Ma, Youru Li, Linxun Chen, Yongfeng Zhang
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. CoRR (2024)
Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Jiabi Tong, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu
Semi-Supervised Heterogeneous Graph Learning with Multi-Level Data Augmentation. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Mingming Zhao, Ding Wang, Mingming Ha, Junfei Qiao
Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games. IEEE Trans. Cybern. 53 (7) (2023)
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR (2023)
Ding Wang, Mingming Ha, Long Cheng
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Minnan Luo
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. CoRR (2023)
Mingming Zhao, Ding Wang, Junfei Qiao, Mingming Ha, Jin Ren
Advanced value iteration for discrete-time intelligent critic control: A survey. Artif. Intell. Rev. 56 (10) (2023)
Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao
Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Ding Wang, Jin Ren, Mingming Ha, Junfei Qiao
System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Ding Wang, Jin Ren, Mingming Ha
Discounted linear Q-learning control with novel tracking cost and its stability. Inf. Sci. 626 (2023)
Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu
Neural Node Matching for Multi-Target Cross Domain Recommendation. ICDE (2023)
Mingming Ha, Ding Wang, Derong Liu
A Novel Value Iteration Scheme With Adjustable Convergence Rate. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Wujiang Xu, Shaoshuai Li, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Xiaolei Liu, Linxun Chen, Zhenfeng Zhu
Neural Node Matching for Multi-Target Cross Domain Recommendation. CoRR (2023)
Xuewen Tao, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Hongwei Cheng, Wenfang Lin
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations. CoRR (2023)
Xuewen Tao, Mingming Ha, Qiongxu Ma, Hongwei Cheng, Wenfang Lin, Xiaobo Guo, Linxun Chen, Bing Han
Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning. RecSys (2023)
Mingming Ha, Ding Wang, Derong Liu
Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration. IEEE Trans. Cybern. 52 (12) (2022)
Mingming Ha, Ding Wang, Derong Liu
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control. IEEE CAA J. Autom. Sinica 9 (7) (2022)
Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation. CoRR (2022)
Ding Wang, Mingming Ha, Mingming Zhao
The intelligent critic framework for advanced optimal control. Artif. Intell. Rev. 55 (1) (2022)
Ding Wang, Mingming Zhao, Mingming Ha, Lingzhi Hu
Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems. Eng. Appl. Artif. Intell. 105 (2021)
Ding Wang, Mingming Ha, Junfei Qiao
Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant. IEEE Trans. Ind. Electron. 68 (8) (2021)
Mingming Ha, Ding Wang, Derong Liu
Generalized value iteration for discounted optimal control with stability analysis. Syst. Control. Lett. 147 (2021)
Mingming Ha, Ding Wang, Derong Liu
Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee. Neural Networks 144 (2021)
Ding Wang, Mingming Zhao, Mingming Ha, Jin Ren
Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application. Neural Networks 143 (2021)
Ding Wang, Mingming Ha, Junfei Qiao
Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation. IEEE Trans. Autom. Control. 65 (3) (2020)
Mingming Ha, Ding Wang, Derong Liu
Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems. Inf. Sci. 519 (2020)
Ding Wang, Mingming Ha, Junfei Qiao, Jun Yan, Yingbo Xie
Data-based composite control design with critic intelligence for a wastewater treatment platform. Artif. Intell. Rev. 53 (5) (2020)
Mingming Ha, Ding Wang, Derong Liu
Event-Triggered Adaptive Critic Control Design for Discrete-Time Constrained Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 50 (9) (2020)
Bo Zhao, Derong Liu, Mingming Ha, Ding Wang, Yancai Xu, Qinglai Wei
Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming. ICONIP (7) (2018)