Kangshuo Li - RankMe

12 papers A* 2A 1B 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges. Inf. Fusion 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
2025	A	`conf`	Evidential Uncertainty Probes for Graph Neural Networks. AISTATS Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
2025	J	`jnl`	Evidential Uncertainty Probes for Graph Neural Networks. CoRR Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
2025	B	`conf`	Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection. COLING Ali Riahi Samani, Tianhao Wang, Kangshuo Li, Feng Chen
2025	J	`jnl`	Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks. CoRR Kevin Wang, Subre Abdoul Moktar, Jia Li, Kangshuo Li, Feng Chen
2025	A*	`conf`	Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function. ICLR Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
2024	J	`jnl`	FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA. IEEE Trans. Mob. Comput. Panlong Wu, Kangshuo Li, Ting Wang, Yanjie Dong, Victor C. M. Leung, Fangxin Wang
2024	J	`jnl`	Federated In-Context LLM Agent Learning. CoRR Panlong Wu, Kangshuo Li, Junbao Nan, Fangxin Wang
2024	A*	`conf`	Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024	J	`jnl`	Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024	J	`jnl`	Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. CoRR Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
2023	J	`jnl`	FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models. CoRR Panlong Wu, Kangshuo Li, Ting Wang, Fangxin Wang