Ruishan Liu

19 papers A* 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Idealized Patients: Evaluating LLMs under Challenging Patient Behaviors in Medical Consultations.
CoRR
Yahan Li, Xinyi Jie, Wanjia Ruan, Xubei Zhang, Huaijie Zhu, Yicheng Gao, Chaohao Du, Ruishan Liu
2026 J jnl
CounselReflect: A Toolkit for Auditing Mental-Health Dialogues.
CoRR
Yahan Li, Chaohao Du, Zeyang Li, Christopher Chun Kuizon, Shupeng Cheng, Angel Hsing-Chi Hwang, Adam C. Frank, Ruishan Liu
2026 J jnl
Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge.
CoRR
Xiaolin Zhou, Zheng Luo, Yicheng Gao, Qixuan Chen, Xiyang Hu, Yue Zhao, Ruishan Liu
2026 J jnl
MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval.
CoRR
Shuheng Chen, Namratha Patil, Haonan Pan, Angel Hsing-Chi Hwang, Yao Du, Ruishan Liu, Jieyu Zhao
2026 J jnl
Single-nucleus and machine-learning integration identifies HLA-DRA and FTL as immune-metabolic axes and traditional Chinese medicine-targetable hubs in calcific aortic valve disease.
J. Comput. Aided Mol. Des.
Qiang Zhao, Kun Wang, Dongbin Xiao, Huandong Wang, Peiyao Ma, Ruishan Liu, Shenke Kong
2025 J jnl
Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions.
CoRR
Wang Bill Zhu, Tianqi Chen, Ching Ying Lin, Jade Law, Mazen Jizzini, Jorge J. Nieva, Ruishan Liu, Robin Jia
2025 J jnl
CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmark of Large Language Models in Mental Health Counseling.
CoRR
Yahan Li, Jifan Yao, John Bosco S. Bunyi, Adam C. Frank, Angel Hwang, Ruishan Liu
2023 A* conf
Data-Driven Subgroup Identification for Linear Regression.
ICML
Zachary Izzo, Ruishan Liu, James Zou
2023 J jnl
Data-Driven Subgroup Identification for Linear Regression.
CoRR
Zachary Izzo, Ruishan Liu, James Zou
2022 — conf
Data Sculpting: Interpretable Algorithm for End-to-End Cohort Selection.
IEEECONF
Ruishan Liu, James Zou
2020 A* conf
Learning transport cost from subset correspondence.
ICLR
Ruishan Liu, Akshay Balsubramani, James Zou
2019 J jnl
Learning transport cost from subset correspondence.
CoRR
Ruishan Liu, Akshay Balsubramani, James Zou
2018 J jnl
Model Compression with Generative Adversarial Networks.
CoRR
Ruishan Liu, Nicoló Fusi, Lester Mackey
2018 — conf
The Effects of Memory Replay in Reinforcement Learning.
Allerton
Ruishan Liu, James Zou
2017 J jnl
Personalized Image Annotation Using Deep Architecture.
IEEE Access
Fangxiang Feng, Ruishan Liu, Xiaojie Wang, Xueming Li, Song Bi
2017 J jnl
The Effects of Memory Replay in Reinforcement Learning.
CoRR
Ruishan Liu, James Zou
2016 J jnl
Multi-task human action recognition via exploring super-category.
Signal Process.
Yanhua Yang, Ruishan Liu, Cheng Deng, Xinbo Gao
2015 — conf
Joint-based multi-task sparse learning for human action recognition.
ICIMCS
Wenjun Wu, Yanhua Yang, Ruishan Liu, Cheng Deng
2015 — conf
Recognizing Human Actions by Sharing Knowledge in Implicit Action Groups.
PCM (1)
Ruishan Liu, Yanhua Yang, Cheng Deng