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2020 – today
- 2023
[j9]Ying Li
, Xingwei Wang, Rongfei Zeng, Mingzhou Yang, Kexin Li, Min Huang, Schahram Dustdar:
VARF: An Incentive Mechanism of Cross-Silo Federated Learning in MEC. IEEE Internet Things J. 10(17): 15115-15132 (2023)- [j8]Kexin Li, Xingwei Wang, Qiang He, Qiang Ni, Mingzhou Yang, Schahram Dustdar:
Computation Offloading for Tasks With Bound Constraints in Multiaccess Edge Computing. IEEE Internet Things J. 10(17): 15526-15536 (2023) - [j7]Kexin Li, Xingwei Wang, Qiang He, Mingzhou Yang, Min Huang, Schahram Dustdar:
Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 16(4): 2985-2999 (2023) - [c5]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. SDM 2023: 838-846 - [c4]Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar:
Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles. SDM 2023: 953-956 - [i1]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. CoRR abs/2301.05739 (2023) - 2022
- [j6]Mingzhou Yang, Xingwei Wang, Lianbo Ma, Qiang He, Min Huang:
A promotive structural balance model based on reinforcement learning for signed social networks. Neural Comput. Appl. 34(19): 16683-16700 (2022) - [j5]Mingzhou Yang, Xingwei Wang, Lianbo Ma, Qiang He, Kexin Li, Min Huang:
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality. Swarm Evol. Comput. 69: 101042 (2022) - [j4]Qiang He, Xingwei Wang, Yong Zhao, Bo Yi, Xijia Lu, Mingzhou Yang, Min Huang:
Reinforcement-Learning-Based Competitive Opinion Maximization Approach in Signed Social Networks. IEEE Trans. Comput. Soc. Syst. 9(5): 1505-1514 (2022) - [j3]Mingzhou Yang, Xingwei Wang, Min Huang, Lianbo Ma, Qiang He:
A Novel Evolutionary Algorithm Based on Judgment-Rule Evolution Strategy for Structural Balance in Signed Social Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 805-817 (2022) - [c3]Hyeonjung (Tari) Jung, Mingzhou Yang, Matthew Eagon, William F. Northrop:
Revolutionizing electric vehicle management: spatial computing challenges and opportunities. IWCTS@SIGSPATIAL 2022: 11:1-11:4 - 2020
- [j2]Mingzhou Yang, Lianbo Ma, Xingwei Wang, Min Huang, Qiang He:
An improved network structural balance approach based on weighted node-to-node influence with evolutionary algorithm. Appl. Soft Comput. 94: 106323 (2020) - [c2]Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo:
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. WWW 2020: 1637-1647
2010 – 2019
- 2019
- [j1]Hao Tang, Xuming Chen, Yang Liu, Zhipeng Lu, Junhua You, Mingzhou Yang, Shengyu Yao, Guoqi Zhao, Yi Xu, Tingfeng Chen, Yong Liu, Xiaohui Xie:
Clinically applicable deep learning framework for organs at risk delineation in CT images. Nat. Mach. Intell. 1(10): 480-491 (2019) - 2017
- [c1]Mingzhou Yang, Daling Wang, Shi Feng, Yifei Zhang:
An Empirical Study on Learning Based Methods for User Consumption Intention Classification. NLPCC 2017: 910-918
Coauthor Index
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