Tiejin Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Dempster Shafer

Strongly Correlated

Ridge Regression

Top Venues

Publications

Longchao Da, Tiejin Chen, Lu Cheng, Hua Wei
LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation. CoRR (2024)
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
Uncertainty Regularized Evidential Regression. CoRR (2024)
Zicheng Wang, Tiejin Chen, Qinrun Dai, Yueqi Chen, Hua Wei, Qingkai Zeng
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization. CoRR (2024)
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. CoRR (2024)
Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
Open-TI: Open Traffic Intelligence with Augmented Language Model. CoRR (2024)
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei
Privacy-preserving Fine-tuning of Large Language Models through Flatness. CoRR (2024)
Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan
Uncertainty Regularized Evidential Regression. AAAI (2024)
Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen
Federated Learning with Projected Trajectory Regularization. CoRR (2023)
Tiejin Chen, Yicheng Tao
Learning Sparsity and Randomness for Data-driven Low Rank Approximation. CoRR (2022)