Qing Li

According to our database, Qing Li authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

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