Mingming Ha

According to our database, Mingming Ha authored at least 36 papers between 2018 and 2024.

Collaborative distances:

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

2024

Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning.

Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification.

Ding Wang, Ning Gao, Mingming Ha, Mingming Zhao, Junlong Wu, Junfei Qiao

IEEE Trans. Cybern., August, 2024

Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation.

Ding Wang, Junlong Wu, Mingming Ha, Mingming Zhao, Menghua Li, Junfei Qiao

IEEE Trans. Neural Networks Learn. Syst., June, 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, June, 2024

Novel Discounted Adaptive Critic Control Designs With Accelerated Learning Formulation.

Mingming Ha, Ding Wang, Derong Liu

IEEE Trans. Cybern., May, 2024

Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control.

Junfei Qiao, Mingming Zhao, Ding Wang, Mingming Ha

IEEE Trans. Syst. Man Cybern. Syst., February, 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, February, 2024

Stable approximate Q-learning under discounted cost for data-based adaptive tracking control.

Zhantao Liang, Mingming Ha, Derong Liu, Yonghua Wang

Neurocomputing, February, 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

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

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.

Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan

Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation.

Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao

IEEE Trans. Neural Networks Learn. Syst., November, 2023

A Novel Value Iteration Scheme With Adjustable Convergence Rate.

Mingming Ha, Ding Wang, Derong Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Advanced value iteration for discrete-time intelligent critic control: A survey.

Mingming Zhao, Ding Wang, Junfei Qiao, Mingming Ha, Jin Ren

Artif. Intell. Rev., October, 2023

System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration.

Ding Wang, Jin Ren, Mingming Ha, Junfei Qiao

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics.

Ding Wang, Mingming Ha, Long Cheng

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Discounted linear Q-learning control with novel tracking cost and its stability.

Ding Wang, Jin Ren, Mingming Ha

Inf. Sci., May, 2023

Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games.

Mingming Zhao, Ding Wang, Mingming Ha, Junfei Qiao

IEEE Trans. Cybern., 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

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration.

Mingming Ha, Ding Wang, Derong Liu

IEEE Trans. Cybern., 2022

Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control.

Mingming Ha, Ding Wang, Derong Liu

IEEE CAA J. Autom. Sinica, 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

The intelligent critic framework for advanced optimal control.

Ding Wang, Mingming Ha, Mingming Zhao

Artif. Intell. Rev., 2022

2021

Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant.

Ding Wang, Mingming Ha, Junfei Qiao

IEEE Trans. Ind. Electron., 2021

Generalized value iteration for discounted optimal control with stability analysis.

Mingming Ha, Ding Wang, Derong Liu

Syst. Control. Lett., 2021

Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application.

Ding Wang, Mingming Zhao, Mingming Ha, Jin Ren

Neural Networks, 2021

Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee.

Mingming Ha, Ding Wang, Derong Liu

Neural Networks, 2021

Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems.

Ding Wang, Mingming Zhao, Mingming Ha, Lingzhi Hu

Eng. Appl. Artif. Intell., 2021

2020

Event-Triggered Adaptive Critic Control Design for Discrete-Time Constrained Nonlinear Systems.

Mingming Ha, Ding Wang, Derong Liu

IEEE Trans. Syst. Man Cybern. Syst., 2020

Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation.

Ding Wang, Mingming Ha, Junfei Qiao

IEEE Trans. Autom. Control., 2020

Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems.

Mingming Ha, Ding Wang, Derong Liu

Inf. Sci., 2020

Data-based composite control design with critic intelligence for a wastewater treatment platform.

Ding Wang, Mingming Ha, Junfei Qiao, Jun Yan, Yingbo Xie

Artif. Intell. Rev., 2020

2018

Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming.

Bo Zhao, Derong Liu, Mingming Ha, Ding Wang, Yancai Xu, Qinglai Wei

Proceedings of the Neural Information Processing - 25th International Conference, 2018