Tiejin Chen

26 papers A* 1A 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment.
EACL (Findings)
Tiejin Chen, Xiaoou Liu, Vishnu Nandam, Kuanru Liou, Hua Wei
2026 J jnl
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment.
CoRR
Tiejin Chen, Xiaoou Liu, Vishnu Nandam, Kuanru Liou, Hua Wei
2026 — conf
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models.
EACL (Volume 1: Long Papers)
Tiejin Chen, Kaishen Wang, Hua Wei
2025 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
SIGKDD Explor.
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2025 J jnl
Generative AI in Transportation Planning: A Survey.
CoRR
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
2025 J jnl
Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control.
CoRR
Justin Turnau, Longchao Da, Khoa Vo, Ferdous Al Rafi, Shreyas Bachiraju, Tiejin Chen, Hua Wei
2025 A conf
Protecting Privacy against Membership Inference Attack with LLM Fine-tuning through Flatness.
SDM
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 — conf
Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control.
ICCPS
Yiran Zhang, Khoa Vo, Longchao Da, Tiejin Chen, Xiaoou Liu, Hua Wei
2025 — conf
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.
KDD (2)
Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei
2025 J jnl
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.
CoRR
Xiaoou Liu, Tiejin Chen, Longchao Da, Chacha Chen, Zhen Lin, Hua Wei
2025 J jnl
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses.
CoRR
Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Vagelis Papalexakis, Hua Wei
2025 — conf
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges.
ACL (Findings)
Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2025 — conf
Vision Language Model Helps Private Information De-Identification in Vision Data.
ACL (Findings)
Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
CoRR
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2024 J jnl
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation.
CoRR
Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei
2024 J jnl
Open-TI: Open Traffic Intelligence with Augmented Language Model.
CoRR
Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
2024 J jnl
Open-ti: open traffic intelligence with augmented language model.
Int. J. Mach. Learn. Cybern.
Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
2024 J jnl
Privacy-preserving Fine-tuning of Large Language Models through Flatness.
CoRR
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
2024 — conf
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.
ITSC
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
2024 J jnl
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.
CoRR
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
2024 A* conf
Uncertainty Regularized Evidential Regression.
AAAI
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
2024 J jnl
Uncertainty Regularized Evidential Regression.
CoRR
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
2024 J jnl
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization.
CoRR
Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng
2024 J jnl
Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models.
CoRR
Tiejin Chen, Kaishen Wang, Hua Wei
2023 J jnl
Federated Learning with Projected Trajectory Regularization.
CoRR
Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen
2022 J jnl
Learning Sparsity and Randomness for Data-driven Low Rank Approximation.
CoRR
Tiejin Chen, Yicheng Tao