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2020 – today
- 2026
[j6]Yahan Li, Xiaohan Zhang, Junliang Shang, Qianqian Ren, Jin-Xin Liu:
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. Big Data Min. Anal. 9(1): 87-102 (2026)- [j5]Mingyuan Bi
, Junliang Shang, Yahan Li, Anqi Xu, Yaxuan Zhang, Feng Li, Jin-Xing Liu:
A multi-objective multi-stage genetic algorithm for community detection in biological networks. Future Gener. Comput. Syst. 179: 108322 (2026) - [c10]Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen, Yunliang Wang, Zeyu Zhong, Shuhong Liu, Shuning Yang, Shangqian Wu, Min Wu, Lei Deng:
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing. AAAI 2026: 21029-21037 - 2025
- [j4]Song Chen, Zhijian Huang, Yucheng Wang, Yahan Li, Yaw Sing Tan, Lei Deng, Min Wu:
MVRBind: multi-view learning for RNA-small molecule binding site prediction. Briefings Bioinform. 26(5) (2025) - [j3]Tingyu Xia, Yahan Li, Yuan Wu, Yi Chang:
Selective fine-tuning for large language models via matrix nuclear norm. Inf. Process. Manag. 62(6): 104259 (2025) - [c9]Yahan Li, Zhijian Huang, Song Chen, Yucheng Wang, Min Wu, Lei Deng:
ASRSMA: Atomic-Scale and Structure-Based Modeling for RNA-Small Molecule Binding Affinity Prediction via Contrastive Pretraining. BIBM 2025: 154-157 - [c8]Zhengkang Wang, Zhijian Huang, Yurong Qian, Yuanpeng Zhang, Yahan Li, Qahtan Adnan Aljanabi, Jinmiao Song, Lei Deng:
MVFDSP: A Multi-View Fusion Framework for Drug Side-Effect Frequency Prediction. BIBM 2025: 727-732 - [c7]Yahan Li, Tingyu Xia, Yuan Wu, Yi Chang:
Large Language Model Evaluation via Matrix Nuclear-Norm. EMNLP (Findings) 2025: 1306-1323 - [i7]Yahan Li, Jifan Yao, John Bosco S. Bunyi, Adam C. Frank, Angel Hwang, Ruishan Liu:
CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmark of Large Language Models in Mental Health Counseling. CoRR abs/2506.08584 (2025) - [i6]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:
OutboundEval: A Dual-Dimensional Benchmark for Expert-Level Intelligent Outbound Evaluation of Xbench's Professional-Aligned Series. CoRR abs/2510.21244 (2025) - [i5]Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen, Yunliang Wang, Zeyu Zhong, Shuhong Liu, Shuning Yang, Shangqian Wu, Min Wu, Lei Deng:
Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing. CoRR abs/2511.08080 (2025) - 2024
- [j2]Yahan Li, Xinrui Cai, Junliang Shang, Yuanyuan Zhang, Jin-Xing Liu:
SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model. Quant. Biol. 12(2): 197-204 (2024) - [c6]Ziyu Fan, Yuanpeng Zhang, Yahan Li, Zeyu Zhong, Lei Deng:
LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples. BIBM 2024: 288-293 - [c5]Linqian Zhao, Yahan Li, Junliang Shang, Qianqian Ren, Yuanyuan Zhang, Jin-Xing Liu:
A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection. BIBM 2024: 591-596 - [c4]Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. ISBRA (2) 2024: 327-338 - [c3]Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze:
Are Clinical T5 Models Better for Clinical Text? ML4H@NeurIPS 2024: 636-667 - [i4]Yahan Li, Yuan Wu:
Vision Transformer-based Adversarial Domain Adaptation. CoRR abs/2404.15817 (2024) - [i3]Yahan Li, Yi Wang, Yi Chang, Yuan Wu:
XTRUST: On the Multilingual Trustworthiness of Large Language Models. CoRR abs/2409.15762 (2024) - [i2]Yahan Li, Tingyu Xia, Yi Chang, Yuan Wu:
Large Language Model Evaluation via Matrix Nuclear-Norm. CoRR abs/2410.10672 (2024) - [i1]Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze:
Are Clinical T5 Models Better for Clinical Text? CoRR abs/2412.05845 (2024) - 2023
- [c2]Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu:
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. BIBM 2023: 2769-2776 - [c1]Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang:
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA 2023: 190-201
2010 – 2019
- 2019
- [j1]Jing Xie, Tieming Ji, Marco A. R. Ferreira, Yahan Li, Bhaumik N. Patel, Rocio M. Rivera:
Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model. BMC Bioinform. 20(1): 530:1-530:13 (2019)
Coauthor Index
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