Ming Tang - RankMe

70 papers A* 8A 3B 6Misc 1Journal 48Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASFL: An Adaptive Model Splitting and Resource Allocation Framework for Split Federated Learning. CoRR Chuiyang Meng, Ming Tang, Vincent W. S. Wong
2026	J	`jnl`	An Incentive Mechanism for Federated Learning With Time-Varying Client Availability. IEEE Trans. Mob. Comput. Shuo Wang, Bing Luo, Ming Tang
2026	J	`jnl`	An Information-Theoretic Analysis for Federated Learning Under Concept Drift. IEEE Trans. Netw. Sci. Eng. Fu Peng, Meng Zhang, Ming Tang
2026	J	`jnl`	Exploring Performance-Fairness Trade-Offs in Federated Learning. IEEE Trans. Netw. Rongguang Ye, Wei-Bin Kou, Ming Tang
2026	J	`jnl`	FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment. CoRR Chuiyang Meng, Ming Tang, Vincent W. S. Wong
2026	J	`jnl`	ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation. CoRR Chuiyang Meng, Ming Tang, Vincent W. S. Wong
2025	J	`jnl`	Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization. CoRR Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Jingreng Lei, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	An Information-Theoretic Analysis for Federated Learning under Concept Drift. CoRR Fu Peng, Meng Zhang, Ming Tang
2025	A	`conf`	Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. IROS Wei-Bin Kou, Qingfeng Lin, Ming Tang, Jingreng Lei, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu
2025	J	`jnl`	Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu
2025	J	`jnl`	Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2025	A	`conf`	FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. IROS Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. CoRR Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	Generalizable Pareto-Optimal Offloading With Reinforcement Learning in Mobile Edge Computing. IEEE Trans. Serv. Comput. Ning Yang, Junrui Wen, Meng Zhang, Ming Tang
2025	J	`jnl`	Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing. CoRR Ning Yang, Junrui Wen, Meng Zhang, Ming Tang
2025	A*	`conf`	Hessian-Free Online Certified Unlearning. ICLR Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei
2025	A*	`conf`	Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. ICRA Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. CoRR Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	A*	`conf`	Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. IJCAI Rongguang Ye, Ming Tang
2025	J	`jnl`	Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. CoRR Rongguang Ye, Ming Tang
2025	—	`conf`	One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models. ACL (Findings) Rongguang Ye, Ming Tang
2025	J	`jnl`	One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models. CoRR Rongguang Ye, Ming Tang
2025	—	`conf`	PraFFL: A Preference-Aware Scheme in Fair Federated Learning. KDD (1) Rongguang Ye, Wei-Bin Kou, Ming Tang
2025	J	`jnl`	QoE-Aware Offloading and Resource Allocation for MEC-Empowered AIGC Services. IEEE Trans. Mob. Comput. Jiaqi Wu, Xinyi Zhuang, Ming Tang, Lin Gao
2025	—	`conf`	QoS-Driven Hybrid Inference Scheme for Generative Diffusion Models in MEC-Enabled AI-Generated Content Networks. ICC Xinyi Zhuang, Jiaqi Wu, Hongjia Wu, Ming Tang, Lin Gao
2025	B	`conf`	Spectral Co-Clustering Based Wireless Network Decomposition for Resource Scheduling. WiOpt Yiyu Liu, Yilin Xiao, Ming Tang, Lin Gao, Jianwei Huang
2025	J	`jnl`	Tackling Resource Allocation for Decentralized Federated Learning: A GNN-Based Approach. IEEE Trans. Mob. Comput. Chuiyang Meng, Ming Tang, Mehdi Setayesh, Vincent W. S. Wong
2025	J	`jnl`	iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models. CoRR Wei-Bin Kou, Guangxu Zhu, Yichen Jin, Shuai Wang, Ming Tang, Yik-Chung Wu
2025	J	`jnl`	pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Guofa Li, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu
2024	J	`jnl`	A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning. IEEE Trans. Mob. Comput. Ming Tang, Fu Peng, Vincent W. S. Wong
2024	J	`jnl`	An Adverse Weather-Immune Scheme with Unfolded Regularization and Foundation Model Knowledge Distillation for Street Scene Understanding. CoRR Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Qingfeng Lin, Ming Tang, Yik-Chung Wu
2024	J	`jnl`	Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. CoRR Lyudong Jin, Ming Tang, Jiayu Pan, Meng Zhang, Hao Wang
2024	J	`jnl`	Cloud-Edge-End Collaborative Task Offloading in Vehicular Edge Networks: A Multilayer Deep Reinforcement Learning Approach. IEEE Internet Things J. Jiaqi Wu, Ming Tang, Changkun Jiang, Lin Gao, Bin Cao
2024	J	`jnl`	Convergence Analysis of Split Federated Learning on Heterogeneous Data. CoRR Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu
2024	J	`jnl`	Efficient Online Unlearning via Hessian-Free Recollection of Individual Data Statistics. CoRR Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei
2024	J	`jnl`	Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Rongguang Ye, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024	A	`conf`	FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. IROS Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024	J	`jnl`	FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu
2024	A*	`conf`	Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. AAAI Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang
2024	J	`jnl`	Incentivizing Efficient Label Denoising in Federated Learning. IEEE Internet Things J. Yizhou Yan, Xinyu Tang, Chao Huang, Ming Tang
2024	J	`jnl`	PraFFL: A Preference-Aware Scheme in Fair Federated Learning. CoRR Rongguang Ye, Ming Tang
2024	J	`jnl`	Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities. IEEE Commun. Mag. Chao Huang, Ming Tang, Qian Ma, Jianwei Huang, Xin Liu
2024	J	`jnl`	pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. CoRR Wei-Bin Kou, Qingfeng Lin, Ming Tang, Sheng Xu, Rongguang Ye, Yang Leng, Shuai Wang, Zhenyu Chen, Guangxu Zhu, Yik-Chung Wu
2023	B	`conf`	Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach. GLOBECOM Yanqing Lu, Meng Zhang, Ming Tang
2023	J	`jnl`	Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. CoRR Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang
2023	B	`conf`	GNN-Based Neighbor Selection and Resource Allocation for Decentralized Federated Learning. GLOBECOM Chuiyang Meng, Ming Tang, Mehdi Setayesh, Vincent W. S. Wong
2023	B	`conf`	Multi-objective Deep Reinforcement Learning for Mobile Edge Computing. WiOpt Ning Yang, Junrui Wen, Meng Zhang, Ming Tang
2023	J	`jnl`	Multi-objective Deep Reinforcement Learning for Mobile Edge Computing. CoRR Ning Yang, Junrui Wen, Meng Zhang, Ming Tang
2023	A*	`conf`	Tackling System Induced Bias in Federated Learning: Stratification and Convergence Analysis. INFOCOM Ming Tang, Vincent W. S. Wong
2022	J	`jnl`	Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems. IEEE Trans. Mob. Comput. Ming Tang, Vincent W. S. Wong
2022	J	`jnl`	Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming. IEEE Trans. Mob. Comput. Ming Tang, Vincent W. S. Wong
2021	A*	`conf`	An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective. INFOCOM Ming Tang, Vincent W. S. Wong
2021	J	`jnl`	How Do You Earn Money on Live Streaming Platforms? - A Study of Donation-Based Markets. IEEE/ACM Trans. Netw. Ming Tang, Jianwei Huang
2020	J	`jnl`	Communication, Computation, and Caching Resource Sharing for the Internet of Things. IEEE Commun. Mag. Ming Tang, Lin Gao, Jianwei Huang
2020	J	`jnl`	Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems. CoRR Ming Tang, Vincent W. S. Wong
2020	J	`jnl`	Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming. CoRR Ming Tang, Vincent W. S. Wong
2019	A*	`conf`	How to Earn Money in Live Streaming Platforms? - A Study of Donation-Based Markets. INFOCOM Ming Tang, Jianwei Huang
2019	J	`jnl`	Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design. IEEE Trans. Mob. Comput. Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun
2018	J	`jnl`	Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing. CoRR Ming Tang, Lin Gao, Jianwei Huang
2018	J	`jnl`	Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing. IEEE J. Sel. Areas Commun. Ming Tang, Lin Gao, Jianwei Huang
2018	J	`jnl`	Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming. IEEE/ACM Trans. Netw. Ming Tang, Haitian Pang, Shou Wang, Lin Gao, Jianwei Huang, Lifeng Sun
2018	J	`jnl`	Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design. CoRR Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun
2018	J	`jnl`	Performance Bound Analysis for Crowdsourced Mobile Video Streaming. CoRR Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun
2017	B	`conf`	A General Framework for Crowdsourcing Mobile Communication, Computation, and Caching. GLOBECOM Ming Tang, Lin Gao, Jianwei Huang
2017	A*	`conf`	MOMD: A multi-object multi-dimensional auction for crowdsourced mobile video streaming. INFOCOM Ming Tang, Shou Wang, Lin Gao, Jianwei Huang, Lifeng Sun
2017	J	`jnl`	Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming. CoRR Ming Tang, Haitian Pang, Shou Wang, Lin Gao, Jianwei Huang, Lifeng Sun
2017	J	`jnl`	Optimizations and Economics of Crowdsourced Mobile Streaming. IEEE Commun. Mag. Ming Tang, Lin Gao, Haitian Pang, Jianwei Huang, Lifeng Sun
2016	B	`conf`	A multi-dimensional auction mechanism for mobile crowdsourced video streaming. WiOpt Ming Tang, Lin Gao, Haitian Pang, Jianwei Huang, Lifeng Sun
2016	—	`conf`	Crowdsourced mobility prediction based on spatio-temporal contexts. ICC Haitian Pang, Peng Wang, Lin Gao, Ming Tang, Jianwei Huang, Lifeng Sun
2016	Misc	`conf`	Performance bound analysis for crowdsourced mobile video streaming. CISS Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun