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Yongxin 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
— 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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