Ming Tang

According to our database, Ming Tang authored at least 42 papers between 2016 and 2025.

Collaborative distances:

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

2025

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Jingreng Lei, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu

CoRR, August, 2025

Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu

IEEE Trans. Intell. Transp. Syst., July, 2025

An Information-Theoretic Analysis for Federated Learning under Concept Drift.

Fu Peng, Meng Zhang, Ming Tang

CoRR, June, 2025

iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models.

Wei-Bin Kou, Guangxu Zhu, Yichen Jin, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, May, 2025

FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving.

Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, May, 2025

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning.

Rongguang Ye, Ming Tang

CoRR, April, 2025

Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu

CoRR, February, 2025

Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu

CoRR, January, 2025

PraFFL: A Preference-Aware Scheme in Fair Federated Learning.

Rongguang Ye, Wei-Bin Kou, Ming Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Hessian-Free Online Certified Unlearning.

Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models.

Rongguang Ye, Ming Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Incentivizing Efficient Label Denoising in Federated Learning.

Yizhou Yan, Xinyu Tang, Chao Huang, Ming Tang

IEEE Internet Things J., December, 2024

Cloud-Edge-End Collaborative Task Offloading in Vehicular Edge Networks: A Multilayer Deep Reinforcement Learning Approach.

Jiaqi Wu, Ming Tang, Changkun Jiang, Lin Gao, Bin Cao

IEEE Internet Things J., November, 2024

A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning.

Ming Tang, Fu Peng, Vincent W. S. Wong

IEEE Trans. Mob. Comput., October, 2024

Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities.

Chao Huang, Ming Tang, Qian Ma, Jianwei Huang, Xin Liu

IEEE Commun. Mag., April, 2024

Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing.

Lyudong Jin, Ming Tang, Jiayu Pan, Meng Zhang, Hao Wang

CoRR, 2024

An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding.

Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu

CoRR, 2024

pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu

CoRR, 2024

PraFFL: A Preference-Aware Scheme in Fair Federated Learning.

Rongguang Ye, Ming Tang

CoRR, 2024

Efficient Online Unlearning via Hessian-Free Recollection of Individual Data Statistics.

Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei

CoRR, 2024

Convergence Analysis of Split Federated Learning on Heterogeneous Data.

Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu

CoRR, 2024

FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding.

Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing.

Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-objective Deep Reinforcement Learning for Mobile Edge Computing.

Ning Yang, Junrui Wen, Meng Zhang, Ming Tang

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Tackling System Induced Bias in Federated Learning: Stratification and Convergence Analysis.

Ming Tang, Vincent W. S. Wong

Proceedings of the IEEE INFOCOM 2023, 2023

GNN-Based Neighbor Selection and Resource Allocation for Decentralized Federated Learning.

Chuiyang Meng, Ming Tang, Mehdi Setayesh, Vincent W. S. Wong

Proceedings of the IEEE Global Communications Conference, 2023

Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach.

Yanqing Lu, Meng Zhang, Ming Tang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming.

Ming Tang, Vincent W. S. Wong

IEEE Trans. Mob. Comput., 2022

Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems.

Ming Tang, Vincent W. S. Wong

IEEE Trans. Mob. Comput., 2022

2021

How Do You Earn Money on Live Streaming Platforms? - A Study of Donation-Based Markets.

Ming Tang, Jianwei Huang

IEEE/ACM Trans. Netw., 2021

An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective.

Ming Tang, Vincent W. S. Wong

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Communication, Computation, and Caching Resource Sharing for the Internet of Things.

Ming Tang, Lin Gao, Jianwei Huang

IEEE Commun. Mag., 2020

2019

Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design.

Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun

IEEE Trans. Mob. Comput., 2019

How to Earn Money in Live Streaming Platforms? - A Study of Donation-Based Markets.

Ming Tang, Jianwei Huang

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming.

Ming Tang, Haitian Pang, Shou Wang, Lin Gao, Jianwei Huang, Lifeng Sun

IEEE/ACM Trans. Netw., 2018

Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing.

Ming Tang, Lin Gao, Jianwei Huang

IEEE J. Sel. Areas Commun., 2018

2017

Optimizations and Economics of Crowdsourced Mobile Streaming.

Ming Tang, Lin Gao, Haitian Pang, Jianwei Huang, Lifeng Sun

IEEE Commun. Mag., 2017

MOMD: A multi-object multi-dimensional auction for crowdsourced mobile video streaming.

Ming Tang, Shou Wang, Lin Gao, Jianwei Huang, Lifeng Sun

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

A General Framework for Crowdsourcing Mobile Communication, Computation, and Caching.

Ming Tang, Lin Gao, Jianwei Huang

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

A multi-dimensional auction mechanism for mobile crowdsourced video streaming.

Ming Tang, Lin Gao, Haitian Pang, Jianwei Huang, Lifeng Sun

Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016

Crowdsourced mobility prediction based on spatio-temporal contexts.

Haitian Pang, Peng Wang, Lin Gao, Ming Tang, Jianwei Huang, Lifeng Sun

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Performance bound analysis for crowdsourced mobile video streaming.

Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016