Publications
2025
Conference Papers
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
The Thirteenth International Conference on Learning Representations (ICLR 2025)
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TRACE: Temporal Grounding Video LLM via Causal Event Modeling
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
The Thirteenth International Conference on Learning Representations (ICLR 2025)
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Federated Unlearning with Gradient Descent and Conflict Mitigation
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
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
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)
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NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)
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Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
International Conference on Computer Vision (ICCV) 2025
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Fairness-aware Anomaly Detection via Fair Projection
Advances in Neural Information Processing Systems 38 (NeurIPS 2025)
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Journal Papers
Balancing the trade-off between global and personalized performance in federated learning
Information Sciences 712, 122154
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Towards Understanding Performance Bugs in Popular Data Science Libraries
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
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
Forty-first International Conference on Machine Learning (ICML 2024)
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FedLF: Layer-Wise Fair Federated Learning
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
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
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
IEEE Transactions on Power Systems
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2023
Conference Papers
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
Fortieth International Conference on Machine Learning (ICML 2023)
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DELTA: Diverse Client Sampling for Fasting Federated Learning
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
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FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (8)
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RPCover: Recovering gRPC Dependency in Multilingual Projects
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
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
IEEE Transactions on Industrial Informatics
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