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ORCIDMingming Ha
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Journal Articles
- 2024
[j27]Zhantao Liang, Mingming Ha, Derong Liu
, Yonghua Wang:
Stable approximate Q-learning under discounted cost for data-based adaptive tracking control. Neurocomputing 568: 127048 (2024)- [j26]Mingming Ha, Ding Wang, Derong Liu:
Novel Discounted Adaptive Critic Control Designs With Accelerated Learning Formulation. IEEE Trans. Cybern. 54(5): 3003-3016 (2024) - [j25]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): 4690-4701 (2024) - [j24]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): 44:1-44:27 (2024) - [j23]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): 107:1-107:29 (2024) - [j22]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): 8254-8265 (2024) - [j21]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): 10923-10934 (2024) - [j20]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): 1202-1213 (2024) - 2023
- [j19]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): 12315-12346 (2023) - [j18]Ding Wang, Jin Ren, Mingming Ha:
Discounted linear Q-learning control with novel tracking cost and its stability. Inf. Sci. 626: 339-353 (2023) - [j17]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): 4487-4499 (2023) - [j16]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): 4237-4248 (2023) - [j15]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): 6504-6514 (2023) - [j14]Mingming Ha, Ding Wang, Derong Liu:
A Novel Value Iteration Scheme With Adjustable Convergence Rate. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7430-7442 (2023) - [j13]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): 8707-8718 (2023) - 2022
- [j12]Ding Wang, Mingming Ha, Mingming Zhao:
The intelligent critic framework for advanced optimal control. Artif. Intell. Rev. 55(1): 1-22 (2022) - [j11]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): 1262-1272 (2022) - [j10]Mingming Ha, Ding Wang, Derong Liu:
Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration. IEEE Trans. Cybern. 52(12): 13262-13274 (2022) - 2021
- [j9]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: 104443 (2021) - [j8]Ding Wang, Mingming Zhao, Mingming Ha, Jin Ren:
Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application. Neural Networks 143: 121-132 (2021) - [j7]Mingming Ha, Ding Wang, Derong Liu:
Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee. Neural Networks 144: 176-186 (2021) - [j6]Mingming Ha, Ding Wang, Derong Liu:
Generalized value iteration for discounted optimal control with stability analysis. Syst. Control. Lett. 147: 104847 (2021) - [j5]Ding Wang, Mingming Ha, Junfei Qiao:
Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant. IEEE Trans. Ind. Electron. 68(8): 7362-7369 (2021) - 2020
- [j4]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): 3773-3785 (2020) - [j3]Mingming Ha, Ding Wang, Derong Liu:
Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems. Inf. Sci. 519: 110-123 (2020) - [j2]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): 1272-1279 (2020) - [j1]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): 3158-3168 (2020)
Conference and Workshop Papers
- 2024
- [c6]Mingming Ha, Taoxuewen, Wenfang Lin, Qiongxu Ma, Wujiang Xu, Linxun Chen:
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. NeurIPS 2024 - [c5]Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo:
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. ECML/PKDD (1) 2024: 161-179 - [c4]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: 3173-3184 - 2023
- [c3]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: 2154-2166 - [c2]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: 151-160 - 2018
- [c1]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: 258-268
Informal and Other Publications
- 2024
- [i7]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 abs/2405.15403 (2024) - [i6]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 abs/2405.20710 (2024) - 2023
- [i5]Xuewen Tao, Mingming Ha, Xiaobo Guo, Qiongxu Ma, Hongwei Cheng, Wenfang Lin:
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations. CoRR abs/2301.02494 (2023) - [i4]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 abs/2302.05919 (2023) - [i3]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 abs/2311.04590 (2023) - [i2]Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo:
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. CoRR abs/2311.04760 (2023) - 2022
- [i1]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 abs/2212.00024 (2022)
Coauthor Index
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