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2020 – today
- 2026
[j2]Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu:
Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges. Inf. Fusion 130: 104057 (2026)- 2025
- [c4]Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen:
Evidential Uncertainty Probes for Graph Neural Networks. AISTATS 2025: 2845-2853 - [c3]Ali Riahi Samani, Tianhao Wang, Kangshuo Li, Feng Chen:
Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection. COLING 2025: 6230-6243 - [c2]Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen:
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function. ICLR 2025 - [i6]Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen:
Evidential Uncertainty Probes for Graph Neural Networks. CoRR abs/2503.08097 (2025) - [i5]Kevin Wang, Subre Abdoul Moktar, Jia Li, Kangshuo Li, Feng Chen:
Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks. CoRR abs/2511.03166 (2025) - 2024
- [j1]Panlong Wu
, Kangshuo Li, Ting Wang, Yanjie Dong, Victor C. M. Leung, Fangxin Wang:
FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA. IEEE Trans. Mob. Comput. 23(12): 15167-15181 (2024) - [c1]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR 2024 - [i4]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR abs/2404.10980 (2024) - [i3]Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen:
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. CoRR abs/2405.20986 (2024) - [i2]Panlong Wu, Kangshuo Li, Junbao Nan, Fangxin Wang:
Federated In-Context LLM Agent Learning. CoRR abs/2412.08054 (2024) - 2023
- [i1]Panlong Wu, Kangshuo Li, Ting Wang, Fangxin Wang:
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models. CoRR abs/2312.15926 (2023)
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