Postdoctoral Fellow [CV] [Github]
Cyberspace Security
Hong Kong University of Science and Technology
Email: qingyue.wang@ust.hk
I am currently a Postdoctoral Fellow in the Department of Computer Science and Engineering at Hong Kong University of Science and Technology (HKUST), working with Prof. Shuai Wang. I received my Ph.D. in 2024 from the Institute of Information Engineering (IIE), Chinese Academy of Sciences (CAS), where I was advised by Prof. Yanan Cao. Prior to that, I obtained my B.S. degree from Henan University in 2018.
Research interests: Large Language Model, AI Security, Text Generation.
Qingyue Wang, Qi Pang, Xixun Lin, Shuai Wang, Daoyuan Wu. BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts, await submitting, arXiv preprint, 2025. [PDF]
Qingyue Wang, Yanhe Fu, Yanan Cao, Shuai Wang, Zhiliang Tian, Liang Ding. Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models, Neurcomputing, Journal, 2025. [PDF]
Yanhe Fu, Yanan Cao, Qingyue Wang, Yi Liu. TISE: A Tripartite In-context Selection Method for Event Argument Extraction, NAACL 2024, Conference, CCF-B, Oral. [PDF]
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, and Li Guo. Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL 2023, Conference, CCF-A, Oral. [PDF]
Qingyue Wang, Yanan Cao, Piji Li, Yanhe Fu, Zheng Lin, Cong Cao, Shi Wang and Li Guo. Confident Slot Iterative Learning for Multi-Domain Dialogue State Tracking, CogSci 2023 , Conference, CCF-B, Oral (Top 17.7%). [PDF]
Qingyue Wang, Yanan Cao, Piji Li, Yanhe Fu, Zheng Lin and Li Guo. Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking, COLING 2022 , Conference, CCF-B, Oral. [PDF]
Yanhe Fu, Yi Liu, Yanan Cao, Yubing Ren, Qingyue Wang, Fang Fang and Cong Cao. A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction, NLPCC 2023, Conference, CCF-C, Poster. [PDF]
Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang and Guanqun Bi. Generative Models for Complex Logical Reasoning over Knowledge Graphs, WSDM 2023, Conference, CCF-B, Oral. [PDF]