Publications

2025

Conference Papers

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies

Y Guo, X Tang, T Lin

The Thirteenth International Conference on Learning Representations (ICLR 2025)

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TRACE: Temporal Grounding Video LLM via Causal Event Modeling

Y Guo, J Liu, M Li, Q Liu, X Chen, X Tang

The Thirteenth International Conference on Learning Representations (ICLR 2025)

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Dynamic mixture of experts: An auto-tuning approach for efficient transformer models

Y Guo, Z Cheng, X Tang, Z Tu, T Lin

The Thirteenth International Conference on Learning Representations (ICLR 2025)

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Federated Unlearning with Gradient Descent and Conflict Mitigation

Z Pan, Z Wang, C Li, K Zheng, B Wang, X Tang, J Zhao

Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

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VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding

Y Guo, J Liu, M Li, D Cheng, X Tang, D Sui, Q Liu, X Chen, K Zhao

Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

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On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond

D Zeng, Z Xu, S LIU, Y Pan, Q Wang, X Tang

The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)

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NLPrompt: Noise-Label Prompt Learning for Vision-Language Models

B Pan, Q Li, X Tang, W Huang, Z Fang, F Liu, J Wang, J Yu, Y Shi

Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)

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Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing

Y Guo, L Wang, X Tang, T Lin

International Conference on Computer Vision (ICCV) 2025

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Journal Papers

Balancing the trade-off between global and personalized performance in federated learning

Z Pan, C Li, F Yu, S Wang, X Tang, J Zhao

Information Sciences 712, 122154

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Towards Understanding Performance Bugs in Popular Data Science Libraries

H Yang, Z Li, Z Zhong, X Tang, P He

Proceedings of the ACM on Software Engineering 2 (FSE), 2335-2358

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Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation

Y Xiong, Y Guo, W Pan, Q Yang, Z Ming, X Zhang, H Yu, T Lin, X Tang

IEEE Transactions on Knowledge and Data Engineering

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2024

Conference Papers

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Y Guo, X Tang, T Lin

Forty-first International Conference on Machine Learning (ICML 2024)

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FedLF: Layer-Wise Fair Federated Learning

Z Pan, C Li, F Yu, S Wang, H Wang, X Tang, J Zhao

Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14527

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Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs

Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He

Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Findings)

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Journal Papers

HeMiRCA: Fine-grained root cause analysis for microservices with heterogeneous data sources

Z Zhu, C Lee, X Tang, P He

ACM Transactions on Software Engineering and Methodology 33 (8), 1-25

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Comprehensive-contribution-based primary frequency regulation market design for the converter-integrated power system

H Liao, C Yang, H Gao, W Liu, H Xin, X Tang, J Zhao

IEEE Transactions on Power Systems

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2023

Conference Papers

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

Y Guo, X Tang, T Lin

Fortieth International Conference on Machine Learning (ICML 2023)

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DELTA: Diverse Client Sampling for Fasting Federated Learning

L Wang, Y Guo, T Lin, X Tang

Advances in Neural Information Processing Systems 36 (NeurIPS 2023)

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FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance

ZP Pan, S Wang, C Li, H Wang, X Tang, J Zhao

Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (8)

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RPCover: Recovering gRPC Dependency in Multilingual Projects

A Fang, R Zhou, X Tang, P He

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

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Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis

H Yan, X Tang

e-Energy '23: Proceedings of the 14th ACM International Conference on Future Energy Systems

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Journal Papers

A data-driven approach for optimizing early-stage electric vehicle charging station placement

C Sun, T Li, X Tang

IEEE Transactions on Industrial Informatics

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