Yahan Li

According to our database, Yahan Li authored at least 23 papers between 2019 and 2026.

Collaborative distances:

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

2026

MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments.

Yicheng Gao, Xiaolin Zhou, Yahan Li, Yue Zhao, Ruishan Liu

CoRR, May, 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

A multi-objective multi-stage genetic algorithm for community detection in biological networks.

Mingyuan Bi, Junliang Shang, Yahan Li, Anqi Xu, Yaxuan Zhang, Feng Li, Jin-Xing Liu

Future Gener. Comput. Syst., 2026

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection.

Yahan Li, Xiaohan Zhang, Junliang Shang, Qianqian Ren, Jin-Xin Liu

Big Data Min. Anal., 2026

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing.

Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen, Yunliang Wang, Zeyu Zhong, Shuhong Liu, Shuning Yang, Shangqian Wu, Min Wu, Lei Deng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

OutboundEval: A Dual-Dimensional Benchmark for Expert-Level Intelligent Outbound Evaluation of Xbench's Professional-Aligned Series.

Pengyu Xu, Shijia Li, Ao Sun, Feng Zhang, Yahan Li, Bo Wu, Zhanyu Ma, Jiguo Li, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Rui Wang, Yang Liu, Xiaobo Hu, Fan Yang, Jia Zheng, Guanghua Yao

CoRR, October, 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

Selective fine-tuning for large language models via matrix nuclear norm.

Tingyu Xia, Yahan Li, Yuan Wu, Yi Chang

Inf. Process. Manag., 2025

MVRBind: multi-view learning for RNA-small molecule binding site prediction.

Song Chen, Zhijian Huang, Yucheng Wang, Yahan Li, Yaw Sing Tan, Lei Deng, Min Wu

Briefings Bioinform., 2025

Large Language Model Evaluation via Matrix Nuclear-Norm.

Yahan Li, Tingyu Xia, Yuan Wu, Yi Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MVFDSP: A Multi-View Fusion Framework for Drug Side-Effect Frequency Prediction.

Zhengkang Wang, Zhijian Huang, Yurong Qian, Yuanpeng Zhang, Yahan Li, Qahtan Adnan Aljanabi, Jinmiao Song, Lei Deng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining.

Yahan Li, Zhijian Huang, Song Chen, Yucheng Wang, Min Wu, Lei Deng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model.

Yahan Li, Xinrui Cai, Junliang Shang, Yuanyuan Zhang, Jin-Xing Liu

Quant. Biol., 2024

XTRUST: On the Multilingual Trustworthiness of Large Language Models.

Yahan Li, Yi Wang, Yi Chang, Yuan Wu

CoRR, 2024

Vision Transformer-based Adversarial Domain Adaptation.

Yahan Li, Yuan Wu

CoRR, 2024

Are Clinical T5 Models Better for Clinical Text?

Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze

Proceedings of the Machine Learning for Health, 2024

CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection.

Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection.

Linqian Zhao, Yahan Li, Junliang Shang, Qianqian Ren, Yuanyuan Zhang, Jin-Xing Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples.

Ziyu Fan, Yuanpeng Zhang, Yahan Li, Zeyu Zhong, Lei Deng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.

Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework.

Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2019

Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model.

Jing Xie, Tieming Ji, Marco A. R. Ferreira, Yahan Li, Bhaumik N. Patel, Rocio M. Rivera

BMC Bioinform., 2019