Yongxin Guo - RankMe

26 papers A* 7A 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang
2025	A*	`conf`	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. ICLR Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin
2025	A*	`conf`	Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. ICLR Yongxin Guo, Xiaoying Tang, Tao Lin
2025	A	`conf`	Enhancing Long Video Understanding via Hierarchical Event-Based Memory. ICME Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao
2025	J	`jnl`	G CoRR Yongxin Guo, Wenbo Deng, Zhenglin Cheng, Xiaoying Tang
2025	J	`jnl`	Personalized Federated Management and Load Balancing for Multiple Charging Stations. IEEE Trans. Ind. Informatics Jie Liu, Yongxin Guo, Xi Leng, Xiaoying Tang
2025	A*	`conf`	TRACE: Temporal Grounding Video LLM via Causal Event Modeling. ICLR Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang
2025	A*	`conf`	VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. AAAI Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao
2025	J	`jnl`	Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM. CoRR Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaïd, Girish Dwivedi, Luqi Gong, Qiuhong Ke
2024	J	`jnl`	Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing. CoRR Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. CoRR Yongxin Guo, Zhaopeng Tu, Zhenglin Cheng, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Enhancing Long Video Understanding via Hierarchical Event-Based Memory. CoRR Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao
2024	—	`conf`	FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. ICCT Zhichao Wang, Lin Wang, Yongxin Guo, Ying-Jun Angela Zhang, Xiaoying Tang
2024	J	`jnl`	FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. CoRR Zhichao Wang, Lin Wang, Yongxin Guo, Ying-Jun Angela Zhang, Xiaoying Tang
2024	A*	`conf`	FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. ICML Yongxin Guo, Xiaoying Tang, Tao Lin
2024	J	`jnl`	Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning. CoRR Lin Wang, Yang Chen, Yongxin Guo, Xiaoying Tang
2024	J	`jnl`	TRACE: Temporal Grounding Video LLM via Causal Event Modeling. CoRR Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Qingbin Liu, Xi Chen
2024	J	`jnl`	VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. CoRR Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Xi Chen, Bo Zhao
2023	A*	`conf`	DELTA: Diverse Client Sampling for Fasting Federated Learning. NeurIPS Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
2023	A*	`conf`	FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. ICML Yongxin Guo, Xiaoying Tang, Tao Lin
2023	J	`jnl`	FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. CoRR Yongxin Guo, Xiaoying Tang, Tao Lin
2023	J	`jnl`	Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning. CoRR Yongxin Guo, Xiaoying Tang, Tao Lin
2023	—	`conf`	PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management. SmartGridComm Jie Liu, Yongxin Guo, Xiaoying Tang
2022	J	`jnl`	Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy. CoRR Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
2022	J	`jnl`	FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data. CoRR Yongxin Guo, Tao Lin, Xiaoying Tang
2021	J	`jnl`	Towards Federated Learning on Time-Evolving Heterogeneous Data. CoRR Yongxin Guo, Tao Lin, Xiaoying Tang