Qing Li

According to our database, Qing Li authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval.

Jiahui Geng, Qing Li, Fengyu Cai, Fakhri Karray

CoRR, April, 2026

VulnScout-C: A Lightweight Transformer for C Code Vulnerability Detection.

Aymen Lassoued, Nacef Mbarek, Bechir Dardouri, Bassem Ouni, Qing Li, Fakhri Karray

CoRR, March, 2026

2025

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval.

Jiahui Geng, Fengyu Cai, Shaobo Cui, Qing Li, Liangwei Chen, Chenyang Lyu, Haonan Li, Derui Zhu, Walter Pretschner, Heinz Koeppl, Fakhri Karray

CoRR, June, 2025

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.

Jiahui Geng, Qing Li, Herbert Woisetschlaeger, Zongxiong Chen, Yuxia Wang, Preslav Nakov, Hans-Arno Jacobsen, Fakhri Karray

CoRR, March, 2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update.

Qing Li, Jiahui Geng, Zongxiong Chen, Kun Song, Lei Ma, Fakhri Karray

CoRR, January, 2025

A Message from the Chairs.

Xiaofang Zhou, Qing Li, Angela Bonifati, Hans-Arno Jacobsen, Wenjie Zhang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Rethinking Transformer-Based Multi-Document Summarization: An Empirical Investigation.

Congbo Ma, Wei Zhang, Dileepa Pitawela, Haojie Zhuang, Yanfeng Shu, Qing Li, Hu Wang

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

Explicit and Implicit Data Augmentation for Social Event Detection.

Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration.

Jiahui Geng, Qing Li, Zongxiong Chen, Yuxia Wang, Derui Zhu, Zhuohan Xie, Chenyang Lyu, Xiuying Chen, Preslav Nakov, Fakhri Karray

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

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs.

Qing Li, Jiahui Geng, Zongxiong Chen, Derui Zhu, Yuxia Wang, Congbo Ma, Chenyang Lyu, Fakhri Karray

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update.

Qing Li, Jiahui Geng, Derui Zhu, Zongxiong Chen, Kun Song, Lei Ma, Fakhri Karray

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improved Gradient Inversion Attacks and Defenses in Federated Learning.

Jiahui Geng, Yongli Mou, Qing Li, Feifei Li, Oya Beyan, Stefan Decker, Chunming Rong

IEEE Trans. Big Data, December, 2024

Enhance Hyperbolic Representation Learning via Second-order Pooling.

Kun Song, Ruben Solozabal, Li Hao, Lu Ren, Moloud Abdar, Qing Li, Fakhri Karray, Martin Takác

CoRR, 2024

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics.

Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Qing Li, Sonja Schimmler, Manfred Hauswirth

Proceedings of the International Joint Conference on Neural Networks, 2024

Reference-free Hallucination Detection for Large Vision-Language Models.

Qing Li, Jiahui Geng, Chenyang Lyu, Derui Zhu, Maxim Panov, Fakhri Karray

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong

CoRR, 2023

Learning Parameterized ODEs From Data.

Qing Li, Steinar Evje, Jiahui Geng

IEEE Access, 2023

Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks.

Qing Li, Jiahui Geng, Steinar Evje, Chunming Rong

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022

Learning the nonlinear flux function of a hidden scalar conservation law from data.

Qing Li, Steinar Evje

Networks Heterog. Media, 2022

2021

Towards General Deep Leakage in Federated Learning.

Jiahui Geng, Yongli Mou, Feifei Li, Qing Li, Oya Beyan, Stefan Decker, Chunming Rong

CoRR, 2021