Tiejin Chen

Hua WeiSchool of Computing and Augmented Intelligence, Arizona State UniversityVerified email at asu.edu
Longchao DaArizona State UniversityVerified email at asu.edu
Kai YeUniversity of PittsburghVerified email at pitt.edu
Jinghui ChenAssistant Professor of Information Sciences and Technology, Penn State UniversityVerified email at psu.edu
Yuanpu CaoPenn State UniversityVerified email at psu.edu
Yujia WangPhD student at Pennsylvania State UniversityVerified email at psu.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Zicheng WangNanjing UniversityVerified email at smail.nju.edu.cn
Tianlong ChenIncoming Asst. Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT AustinVerified email at mit.edu
Huixue ZhouPhD student at University of MinnesotaVerified email at umn.edu
Kaixiong ZhouMIT, NCSUVerified email at ncsu.edu
Linsey PangSalesforceVerified email at salesforce.com
Dongsheng LuoAssistant Professor, Florida International UniversityVerified email at fiu.edu

Tiejin Chen

Verified email at asu.edu - Homepage


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Open-ti: Open traffic intelligence with augmented language model L Da, K Liou, T Chen, X Zhou, X Luo, Y Yang, H Wei International Journal of Machine Learning and Cybernetics, 1-26, 2024	6	2024
Uncertainty Regularized Evidential Regression K Ye, T Chen, H Wei, L Zhan In Proceedings of the Thirty-Eighth AAAI Conference on Artificial …, 2024	1	2024
Performance Upper Bound of the Grover-Mixer Quantum Alternating Operator Ansatz N Xie, J Xu, T Chen, Y Saito, N Asai, D Cai arXiv preprint arXiv:2405.03173, 2024		2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape T Chen, W Huang, L Pang, D Luo, H Wei arXiv preprint arXiv:2403.06013, 2024		2024
Privacy-preserving Fine-tuning of Large Language Models through Flatness T Chen, L Da, H Zhou, P Li, K Zhou, T Chen, H Wei arXiv preprint arXiv:2403.04124, 2024		2024
When eBPF Meets Machine Learning: On-the-fly OS Kernel Compartmentalization Z Wang, T Chen, Q Dai, Y Chen, H Wei, Q Zeng arXiv preprint arXiv:2401.05641, 2024		2024
Federated Learning with Projected Trajectory Regularization T Chen, Y Cao, Y Wang, CJ Hsieh, J Chen arXiv preprint arXiv:2312.14380, 2023		2023
Learning Sparsity and Randomness for Data-driven Low Rank Approximation T Chen, Y Tao arXiv preprint arXiv:2212.08186, 2022		2022

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