Tiejin Chen

According to our database, Tiejin Chen authored at least 18 papers between 2022 and 2025.

Collaborative distances:

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

2025

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control.

Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei

CoRR, July, 2025

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.

Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei

CoRR, March, 2025

Generative AI in Transportation Planning: A Survey.

Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei

CoRR, March, 2025

Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses.

Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Vagelis Papalexakis, Hua Wei

CoRR, February, 2025

Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness.

Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control.

Yiran Zhang, Khoa Vo, Longchao Da, Tiejin Chen, Xiaoou Liu, Hua Wei

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges.

Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

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

Vision Language Model Helps Private Information De-Identification in Vision Data.

Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

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

2024

Open-ti: open traffic intelligence with augmented language model.

Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei

Int. J. Mach. Learn. Cybern., October, 2024

Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models.

Tiejin Chen, Kaishen Wang, Hua Wei

CoRR, 2024

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation.

Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei

CoRR, 2024

Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.

Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei

CoRR, 2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness.

Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

CoRR, 2024

When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization.

Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng

CoRR, 2024

SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.

Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Uncertainty Regularized Evidential Regression.

Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Learning with Projected Trajectory Regularization.

Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen

CoRR, 2023

2022

Learning Sparsity and Randomness for Data-driven Low Rank Approximation.

Tiejin Chen, Yicheng Tao

CoRR, 2022