Lastest Update: 10/15/2024 

Preprints

• 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
  

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

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

Conference Paper

• 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).
  

• Privacy-preserving Finetuning of Large Language Models through Flatness
  Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaizhong Zhou, Tianlong Chen, Hua Wei
  SeT LLM Workshop @ ICLR2024.
  

• 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.
  

• 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

One unpublic paper is under review of NAACL, one unpublic paper is under review of AAAI and two papers are under review of ICLR.