Lastest Update: 03/18/2025 

Preprints

• 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 (Ben)Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei
  

• Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses
  Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Vagelis Papalexakis, Hua Wei
  

• 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
  

• Federated Learning with Projected Trajectory Regularization
  Tiejin Chen^*, Yuanpu Cao^*, Yujia Wang^*, Cho-Jui Hsieh, Jinghui Chen
  

• LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
  Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei
  

• Learning Sparsity and Randomness for Data-driven Low Rank Approximation
  Tiejin Chen^*, Yicheng Tao^*
  

Conference Paper

• Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness
  Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaizhong Zhou, Tianlong Chen, Hua Wei
  In SIAM International Conference on Data Mining (SDM’25). (Short version presented at ICLR 2024 Workshop on Secure and Trustworthy Large Language Models)
  

• Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models
  Tiejin Chen^*, Kaishen Wang^*, Hua Wei
  SageGenAI Workshop @ Neurips2024.
  

• SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras
  Tiejin Chen^*, Prithvi Parag Shirke^*, Bharatesh Chakravarthi, Arpitsinh Rohitkumar Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
  In Proceedings of 27th IEEE International Conference on Intelligent Transportation Systems (ITSC’24).
  

• Uncertainty Regularized Evidential Regression
  Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
  In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI’24).
  

• When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization
  Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng
  BlackHat USA 2024 Briefing.
  

Journal Paper

• Open-TI: Open Traffic Intelligence with Augmented Language Model
  Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Huawei
  International Journal of Machine Learning and Cybernetics.
  

• Performance Upper Bound of the Grover-Mixer Quantum Alternating Operator Ansatz
  Ningyi Xie, Jiahua Xu, Tiejin Chen, Yoshiyuki Saito, Nobuyoshi Asai, Dongsheng Cai
  Physical Review A.
  

• Prison term prediction of dangerous driving based on probabilistic graphical mode
  Chen Hongxu, Chen Tiejin, Wang Hao, Tian Wei
  Journal of Sichuan University（Natural Science Edition）
  

Working Manuscript

three unpublic paper is under review of ACL.