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ORCIDYongxin Guo 0001
Person information
- affiliation (PhD 2025): Chinese University of Hong Kong (Shenzhen), School of Science and Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
Other persons with the same name
- Yongxin Guo — disambiguation page
- Yongxin Guo 0002
![[0000-0001-8842-5609]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8842-5609")
— City University of Hong Kong, Department of Electronic Engineering, Hong Kong (and 2 more)
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2020 – today
- 2025
[j2]Jie Liu, Yongxin Guo, Xi Leng, Xiaoying Tang:
Personalized Federated Management and Load Balancing for Multiple Charging Stations. IEEE Trans. Ind. Informatics 21(8): 6262-6273 (2025)- [j1]Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang:
Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 37(7): 3916-3932 (2025) - [c10]Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao:
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. AAAI 2025: 3302-3310 - [c9]Yongxin Guo, Xiaoying Tang, Tao Lin:
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. ICLR 2025 - [c8]Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin:
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. ICLR 2025 - [c7]Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang:
TRACE: Temporal Grounding Video LLM via Causal Event Modeling. ICLR 2025 - [c6]Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao:
Enhancing Long Video Understanding via Hierarchical Event-Based Memory. ICME 2025: 1-6 - [i14]Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaïd, Girish Dwivedi, Luqi Gong, Qiuhong Ke:
Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM. CoRR abs/2505.18110 (2025) - [i13]Yongxin Guo, Wenbo Deng, Zhenglin Cheng, Xiaoying Tang:
G2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance. CoRR abs/2508.13023 (2025) - 2024
- [c5]Zhichao Wang, Lin Wang, Yongxin Guo, Ying-Jun Angela Zhang, Xiaoying Tang:
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. ICCT 2024: 451-455 - [c4]Yongxin Guo, Xiaoying Tang, Tao Lin:
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. ICML 2024 - [i12]Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Xi Chen, Bo Zhao:
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. CoRR abs/2405.13382 (2024) - [i11]Yongxin Guo, Zhaopeng Tu, Zhenglin Cheng, Xiaoying Tang, Tao Lin:
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. CoRR abs/2405.14297 (2024) - [i10]Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin:
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing. CoRR abs/2405.16233 (2024) - [i9]Lin Wang, Yang Chen, Yongxin Guo, Xiaoying Tang:
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning. CoRR abs/2407.04460 (2024) - [i8]Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao:
Enhancing Long Video Understanding via Hierarchical Event-Based Memory. CoRR abs/2409.06299 (2024) - [i7]Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Qingbin Liu, Xi Chen:
TRACE: Temporal Grounding Video LLM via Causal Event Modeling. CoRR abs/2410.05643 (2024) - [i6]Zhichao Wang, Lin Wang, Yongxin Guo, Ying-Jun Angela Zhang, Xiaoying Tang:
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. CoRR abs/2410.20141 (2024) - 2023
- [c3]Yongxin Guo, Xiaoying Tang, Tao Lin:
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. ICML 2023: 12034-12054 - [c2]Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang:
DELTA: Diverse Client Sampling for Fasting Federated Learning. NeurIPS 2023 - [c1]Jie Liu, Yongxin Guo, Xiaoying Tang:
PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management. SmartGridComm 2023: 1-6 - [i5]Yongxin Guo, Xiaoying Tang, Tao Lin:
FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. CoRR abs/2301.12379 (2023) - [i4]Yongxin Guo, Xiaoying Tang, Tao Lin:
Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning. CoRR abs/2310.05397 (2023) - 2022
- [i3]Yongxin Guo, Tao Lin, Xiaoying Tang:
FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data. CoRR abs/2205.13462 (2022) - [i2]Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang:
Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy. CoRR abs/2205.13925 (2022) - 2021
- [i1]Yongxin Guo, Tao Lin, Xiaoying Tang:
Towards Federated Learning on Time-Evolving Heterogeneous Data. CoRR abs/2112.13246 (2021)
Coauthor Index
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