Haolin Wang

According to our database, Haolin Wang authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Clicks to Preference: A Multi-stage Alignment Framework for Generative Query Suggestion in Conversational System.

Junhao Yin, Haolin Wang, Peng Bao, Ju Xu, Yongliang Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Dataset-adaptive and bias-constrained brain age estimation using pyramid squeeze and excitation transformer.

Yixiao Hu, Haolin Wang, Jiaxiang Cao, Baobin Li

Neurocomputing, 2025

Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation.

Wenkai Guo, Xuefeng Liu, Haolin Wang, Jianwei Niu, Shaojie Tang, Jing Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Why Go Full? Elevating Federated Learning Through Partial Network Updates.

Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition.

Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Unlocking the Potential of Federated Learning for Deeper Models.

Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen

CoRR, 2023

SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition.

Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang

Proceedings of the IEEE INFOCOM 2023, 2023