Chen Chen

According to our database, Chen Chen authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms.

Shengji Jin, Yuanhao Zou, Victor Zhu, Zhengping Ji, Chen Chen

CoRR, April, 2026

Plato's Form: Toward Backdoor Defense-as-a-Service for LLMs with Prototype Representations.

Chen Chen, Yuchen Sun, Jiaxin Gao, Yanwen Jia, Xueluan Gong, Qian Wang, Kwok-Yan Lam

CoRR, February, 2026

The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents.

Chen Chen, Kim Young Il, Yuan Yang, Wenhao Su, Yilin Zhang, Xueluan Gong, Qian Wang, Yongsen Zheng, Ziyao Liu, Kwok-Yan Lam

CoRR, January, 2026

2025

Evaluating and Mitigating LLM-as-a-judge Bias in Communication Systems.

Jiaxin Gao, Chen Chen, Yanwen Jia, Xueluan Gong, Kwok-Yan Lam, Qian Wang

CoRR, October, 2025

A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering.

Yuanhao Zou, Shengji Jin, Andong Deng, Youpeng Zhao, Jun Wang, Chen Chen

CoRR, October, 2025

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution.

Chen Chen, Yuchen Sun, Jiaxin Gao, Xueluan Gong, Qian Wang, Ziyao Wang, Yongsen Zheng, Kwok-Yan Lam

CoRR, August, 2025

LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge.

Songze Li, Chuokun Xu, Jiaying Wang, Xueluan Gong, Chen Chen, Jirui Zhang, Jun Wang, Kwok-Yan Lam, Shouling Ji

CoRR, June, 2025

ARMOR: Shielding Unlearnable Examples against Data Augmentation.

Xueluan Gong, Yuji Wang, Yanjiao Chen, Haocheng Dong, Yiming Li, Mengyuan Sun, Shuaike Li, Qian Wang, Chen Chen

CoRR, January, 2025

A Survey on Facial Image Privacy Preservation in Cloud-Based Services.

Chen Chen, Mengyuan Sun, Xueluan Gong, Yanjiao Chen, Qian Wang

CoRR, January, 2025

Threats, Attacks, and Defenses in Machine Unlearning: A Survey.

Ziyao Liu, Huanyi Ye, Chen Chen, Yongsen Zheng, Kwok-Yan Lam

IEEE Open J. Comput. Soc., 2025

PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs.

Xueluan Gong, Mingzhe Li, Yilin Zhang, Fengyuan Ran, Chen Chen, Yanjiao Chen, Qian Wang, Kwok-Yan Lam

Proceedings of the 34th USENIX Security Symposium, 2025

2024

Unifying Large Language Models and Knowledge Graphs: A Roadmap.

Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu

IEEE Trans. Knowl. Data Eng., July, 2024

Neutralizing Backdoors through Information Conflicts for Large Language Models.

Chen Chen, Yuchen Sun, Xueluan Gong, Jiaxin Gao, Kwok-Yan Lam

CoRR, 2024

Hidden Data Privacy Breaches in Federated Learning.

Xueluan Gong, Yuji Wang, Shuaike Li, Mengyuan Sun, Songze Li, Qian Wang, Kwok-Yan Lam, Chen Chen

CoRR, 2024

Effective and Evasive Fuzz Testing-Driven Jailbreaking Attacks against LLMs.

Xueluan Gong, Mingzhe Li, Yilin Zhang, Fengyuan Ran, Chen Chen, Yanjiao Chen, Qian Wang, Kwok-Yan Lam

CoRR, 2024

Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach.

Bing Huang, Chen Chen, Kwok-Yan Lam, Fuqun Huang

Proceedings of the IEEE International Conference on Web Services, 2024

2023

Separate-and-Aggregate: A Transformer-Based Patch Refinement Model for Knowledge Graph Completion.

Chen Chen, Yufei Wang, Yang Zhang, Quan Z. Sheng, Kwok-Yan Lam

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting.

Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion.

Chen Chen, Yufei Wang, Bing Li, Kwok-Yan Lam

Proceedings of the 29th International Conference on Computational Linguistics, 2022