Shuai Zhang - RankMe

60 papers A* 13A 2B 1Misc 4Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. IEEE Commun. Mag. Xiaobing Chen, Boyang Zhang, Xiangwei Zhou, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Geoffrey Ye Li
2026	J	`jnl`	Is FISHER All You Need in the Multi-AUV Underwater Target Tracking Task? IEEE Trans. Mob. Comput. Guanwen Xie, Jingzehua Xu, Ziqi Zhang, Xiangwang Hou, Dongfang Ma, Shuai Zhang, Yong Ren, Dusit Niyato
2026	J	`jnl`	Underwater Embodied Intelligence for Autonomous Robots: A Constraint-Coupled Perspective on Planning, Control, and Deployment. CoRR Jingzehua Xu, Guanwen Xie, Jiwei Tang, Shuai Zhang, Xiaofan Li
2025	A*	`conf`	AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract). AAAI Yimian Ding, Jingzehua Xu, Yiyuan Yang, Guanwen Xie, Xinqi Wang, Shuai Zhang
2025	A*	`conf`	ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract). AAAI Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang
2025	J	`jnl`	EasyUUV: An LLM-Enhanced Universal and Lightweight Sim-to-Real Reinforcement Learning Framework for UUV Attitude Control. CoRR Guanwen Xie, Jingzehua Xu, Jiwei Tang, Yubo Huang, Shuai Zhang, Xiaofan Li
2025	J	`jnl`	Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. CoRR Xiaobing Chen, Boyang Zhang, Xiangwei Zhou, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Geoffrey Ye Li
2025	J	`jnl`	FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment. CoRR Boyang Zhang, Xiaobing Chen, Songyang Zhang, Shuai Zhang, Xiangwei Zhou, Mingxuan Sun
2025	Misc	`conf`	LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling. ICASSP Yubo Huang, Xin Lai, Muyang Ye, Anran Zhu, Zixi Wang, Jingzehua Xu, Shuai Zhang, Zhiyuan Zhou, Weijie Niu
2025	A	`conf`	Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks. IROS Yimian Ding, Jingzehua Xu, Guanwen Xie, Shuai Zhang, Yi Li
2025	J	`jnl`	Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks. CoRR Yimian Ding, Jingzehua Xu, Guanwen Xie, Shuai Zhang, Yi Li
2025	—	`conf`	Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. ICC Workshops Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang, Chuan Huang
2025	J	`jnl`	Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. CoRR Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang, Chuan Huang
2025	A*	`conf`	Multi-Modal Gradual Domain Osmosis: Stepwise Dynamic Learning with Batch Matching for Gradual Domain Adaptation. ACM Multimedia Zixi Wang, Yubo Huang, Jingzehua Xu, Jinzhu Wei, Shuai Zhang, Xin Lai
2025	J	`jnl`	Never Too Rigid to Reach: Adaptive Virtual Model Control with LLM- and Lyapunov-Based Reinforcement Learning. CoRR Jingzehua Xu, Yangyang Li, Yangfei Chen, Guanwen Xie, Shuai Zhang
2025	J	`jnl`	Never too Cocky to Cooperate: An FIM and RL-based USV-AUV Collaborative System for Underwater Tasks in Extreme Sea Conditions. CoRR Jingzehua Xu, Guanwen Xie, Jiwei Tang, Yimian Ding, Weiyi Liu, Shuai Zhang, Yi Li
2025	A	`conf`	Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions. IROS Guanwen Xie, Jingzehua Xu, Yimian Ding, Zhi Zhang, Shuai Zhang, Yi Li
2025	J	`jnl`	Never too Prim to Swim: An LLM-Enhanced RL-based Adaptive S-Surface Controller for AUVs under Extreme Sea Conditions. CoRR Guanwen Xie, Jingzehua Xu, Yimian Ding, Zhi Zhang, Shuai Zhang, Yi Li
2025	J	`jnl`	Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation. CoRR Zixi Wang, Yushe Cao, Yubo Huang, Jinzhu Wei, Jingzehua Xu, Shuai Zhang, Xin Lai
2025	J	`jnl`	Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing. CoRR Song Gao, Shusen Jing, Shuai Zhang, Yue Wang, Xiangwei Zhou, Songyang Zhang
2025	A*	`conf`	UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract). AAAI Jingzehua Xu, Guanwen Xie, Yimian Ding, Yongming Zeng, Haoyu Wang, Shuai Zhang
2025	J	`jnl`	UPEGSim: An RL-Enabled Simulator for Unmanned Underwater Vehicles Dedicated in the Underwater Pursuit-Evasion Game. IEEE Internet Things J. Jingzehua Xu, Guanwen Xie, Zekai Zhang, Xiangwang Hou, Shuai Zhang, Yong Ren, Dusit Niyato
2025	Misc	`conf`	USV-AUV Collaboration Framework for Underwater Tasks under Extreme Sea Conditions. ICASSP Jingzehua Xu, Guanwen Xie, Xinqi Wang, Yimian Ding, Shuai Zhang
2025	J	`jnl`	When Motion Learns to Listen: Diffusion-Prior Lyapunov Actor-Critic Framework with LLM Guidance for Stable and Robust AUV Control in Underwater Tasks. CoRR Jingzehua Xu, Weiyi Liu, Weihang Zhang, Zhuofan Xi, Guanwen Xie, Shuai Zhang, Yi Li
2025	A*	`conf`	When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. ICLR Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang
2025	J	`jnl`	When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. CoRR Hongkang Li, Yihua Zhang, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024	J	`jnl`	ADR-BC: Adversarial Density Weighted Regression Behavior Cloning. CoRR Ziqi Zhang, Zifeng Zhuang, Donglin Wang, Jingzehua Xu, Miao Liu, Shuai Zhang
2024	J	`jnl`	CausalVE: Face Video Privacy Encryption via Causal Video Prediction. CoRR Yubo Huang, Wenhao Feng, Xin Lai, Zixi Wang, Jingzehua Xu, Shuai Zhang, Hongjie He, Fan Chen
2024	J	`jnl`	Enhancing Information Freshness: An AoI Optimized Markov Decision Process Dedicated In the Underwater Task. CoRR Jingzehua Xu, Yimian Ding, Yiyuan Yang, Guanwen Xie, Shuai Zhang
2024	A*	`conf`	FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. ICML Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang
2024	J	`jnl`	FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. CoRR Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang
2024	J	`jnl`	How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024	J	`jnl`	Is FISHER All You Need in The Multi-AUV Underwater Target Tracking Task? CoRR Jingzehua Xu, Guanwen Xie, Ziqi Zhang, Xiangwang Hou, Dongfang Ma, Shuai Zhang, Yong Ren, Dusit Niyato
2024	J	`jnl`	LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling. CoRR Yubo Huang, Xin Lai, Muyang Ye, Anran Zhu, Zixi Wang, Jingzehua Xu, Shuai Zhang, Zhiyuan Zhou, Weijie Niu
2024	J	`jnl`	Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learning. CoRR Guanwen Xie, Jingzehua Xu, Yiyuan Yang, Yimian Ding, Shuai Zhang
2024	—	`conf`	Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. SAM Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
2024	J	`jnl`	Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
2024	A*	`conf`	SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. ICML Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024	J	`jnl`	SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024	J	`jnl`	USV-AUV Collaboration Framework for Underwater Tasks under Extreme Sea Conditions. CoRR Jingzehua Xu, Guanwen Xie, Xinqi Wang, Yimian Ding, Shuai Zhang
2023	A*	`conf`	Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023	J	`jnl`	Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023	A*	`conf`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	J	`jnl`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	A*	`conf`	Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2023	J	`jnl`	Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. CoRR Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2022	J	`jnl`	How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022	A*	`conf`	How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022	Misc	`conf`	Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CISS Hongkang Li, Shuai Zhang, Meng Wang
2022	J	`jnl`	Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CoRR Hongkang Li, Shuai Zhang, Meng Wang
2021	J	`jnl`	Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen
2021	J	`jnl`	Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. CoRR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2021	A*	`conf`	Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	A*	`conf`	Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. ICML Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	J	`jnl`	Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. CoRR Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020	Misc	`conf`	Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2019	J	`jnl`	Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion. IEEE Trans. Signal Process. Shuai Zhang, Meng Wang
2018	B	`conf`	Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure. ISIT Shuai Zhang, Meng Wang
2018	J	`jnl`	Multichannel Hankel Matrix Completion Through Nonconvex Optimization. IEEE J. Sel. Top. Signal Process. Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow
2017	—	`conf`	Multi-Channel missing data recovery by exploiting the low-rank hankel structures. CAMSAP Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow