Ruishan Liu

According to our database, Ruishan Liu authored at least 16 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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.

Qiang Zhao, Kun Wang, Dongbin Xiao, Huandong Wang, Peiyao Ma, Ruishan Liu, Shenke Kong

J. Comput. Aided Mol. Des., December, 2026

CounselReflect: A Toolkit for Auditing Mental-Health Dialogues.

Yahan Li, Chaohao Du, Zeyang Li, Christopher Chun Kuizon, Shupeng Cheng, Angel Hsing-Chi Hwang, Adam C. Frank, Ruishan Liu

CoRR, March, 2026

Beyond Idealized Patients: Evaluating LLMs under Challenging Patient Behaviors in Medical Consultations.

Yahan Li, Xinyi Jie, Wanjia Ruan, Xubei Zhang, Huaijie Zhu, Yicheng Gao, Chaohao Du, Ruishan Liu

CoRR, March, 2026

MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval.

Shuheng Chen, Namratha Patil, Haonan Pan, Angel Hsing-Chi Hwang, Yao Du, Ruishan Liu, Jieyu Zhao

CoRR, March, 2026

Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge.

Xiaolin Zhou, Zheng Luo, Yicheng Gao, Qixuan Chen, Xiyang Hu, Yue Zhao, Ruishan Liu

CoRR, January, 2026

2025

CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmark of Large Language Models in Mental Health Counseling.

Yahan Li, Jifan Yao, John Bosco S. Bunyi, Adam C. Frank, Angel Hwang, Ruishan Liu

CoRR, June, 2025

Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions.

Wang Bill Zhu, Tianqi Chen, Ching Ying Lin, Jade Law, Mazen Jizzini, Jorge J. Nieva, Ruishan Liu, Robin Jia

CoRR, April, 2025

2023

Data-Driven Subgroup Identification for Linear Regression.

Zachary Izzo, Ruishan Liu, James Zou

Proceedings of the International Conference on Machine Learning, 2023

2022

Data Sculpting: Interpretable Algorithm for End-to-End Cohort Selection.

Ruishan Liu, James Zou

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2020

Learning transport cost from subset correspondence.

Ruishan Liu, Akshay Balsubramani, James Zou

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Model Compression with Generative Adversarial Networks.

Ruishan Liu, Nicoló Fusi, Lester Mackey

CoRR, 2018

The Effects of Memory Replay in Reinforcement Learning.

Ruishan Liu, James Zou

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Personalized Image Annotation Using Deep Architecture.

Fangxiang Feng, Ruishan Liu, Xiaojie Wang, Xueming Li, Song Bi

IEEE Access, 2017

2016

Multi-task human action recognition via exploring super-category.

Yanhua Yang, Ruishan Liu, Cheng Deng, Xinbo Gao

Signal Process., 2016

2015

Recognizing Human Actions by Sharing Knowledge in Implicit Action Groups.

Ruishan Liu, Yanhua Yang, Cheng Deng

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Joint-based multi-task sparse learning for human action recognition.

Wenjun Wu, Yanhua Yang, Ruishan Liu, Cheng Deng

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015