Miao Zhang - RankMe

27 papers B 3Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning. CoRR Yutong Wang, Siyuan Xiong, Xuebo Liu, Wenkang Zhou, Liang Ding, Miao Zhang, Min Zhang
2026	J	`jnl`	Understanding Model Merging: A Unified Generalization Framework for Heterogeneous Experts. CoRR Qinglun Li, Anke Tang, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2025	—	`conf`	AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. ACL (1) Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang
2025	J	`jnl`	AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. CoRR Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang
2025	—	`conf`	AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. EMNLP (Findings) Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang
2025	J	`jnl`	AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. CoRR Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang
2025	J	`jnl`	Asymmetrically Decentralized Federated Learning. IEEE Trans. Computers Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen, Xiaochun Cao
2025	J	`jnl`	DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum. Neural Networks Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen
2025	J	`jnl`	Multi-agent reinforcement learning for task offloading with hybrid decision space in multi-access edge computing. Ad Hoc Networks Ji Wang, Miao Zhang, Quanjun Yin, Lujia Yin, Yong Peng
2025	J	`jnl`	The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Robustness. IEEE Trans. Neural Networks Learn. Syst. Mengyao Du, Miao Zhang, Yuwen Pu, Qingming Li, Shouling Ji, Quanjun Yin
2025	J	`jnl`	Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training. CoRR Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen
2024	J	`jnl`	Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration. CoRR Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao
2024	J	`jnl`	Low-Cost, High-Reliability Deployment for Cloud Applications With Low-Frequency Periodic Requests. IEEE Trans. Serv. Comput. Hailiang Chen, Zhu Xiang, Lujia Yin, Miao Zhang, Quanjun Yin
2024	J	`jnl`	OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. CoRR Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2024	J	`jnl`	The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness. CoRR Mengyao Du, Miao Zhang, Yuwen Pu, Kai Xu, Shouling Ji, Quanjun Yin
2023	J	`jnl`	Asymmetrically Decentralized Federated Learning. CoRR Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
2023	B	`conf`	Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain. ICPP Mengyao Du, Miao Zhang, Lin Liu, Kai Xu, Quanjun Yin
2023	J	`jnl`	Deep Model Fusion: A Survey. CoRR Weishi Li, Yong Peng, Miao Zhang, Liang Ding, Han Hu, Li Shen
2022	—	`conf`	A Review of Failure Prediction in Distributed Data Centers. AsiaSim (1) Yuqing Ma, Xu Xie, Miao Zhang
2022	J	`jnl`	Efficient Flow-Based Scheduling for Geo-Distributed Simulation Tasks in Collaborative Edge and Cloud Environments. IEEE Trans. Parallel Distributed Syst. Miao Zhang, Yong Peng, Jiancheng Zhu, Quanjun Yin
2022	B	`conf`	FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity. SMC Guanghao Li, Yue Hu, Miao Zhang, Li Li, Tao Chang, Quanjun Yin
2022	B	`conf`	FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. ICPP Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022	J	`jnl`	FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022	J	`jnl`	SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. CoRR Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao
2021	J	`jnl`	A discrete PSO-based static load balancing algorithm for distributed simulations in a cloud environment. Future Gener. Comput. Syst. Miao Zhang, Yong Peng, Mei Yang, Quanjun Yin, Xu Xie
2017	—	`conf`	A Reusable Behavior Modeling Method Based on Atom Action and Atom Condition. SimuTools Yingqian Bao, Qingjun Qu, Yiping Yao, Jiawei Fei, Miao Zhang
2017	—	`conf`	An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System. SimuTools Miao Zhang, Zhiwen Jiang, Yiping Yao, Tianlin Li