Jiuming Wang

According to our database, Jiuming Wang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design.

Yanting Li, Zikang Wang, Jiyue Jiang, Ziqian Lin, Dongchen He, Yuheng Shan, Yanruisheng Shao, Jiayi Li, Xiangyu Shi, Jiuming Wang, Yanyu Chen, Yimin Fan, Han Li, Yu Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design.

Jiyue Jiang, Yanyu Chen, Qingchuan Zhang, Jiayi Li, Xiangyu Shi, Chang Zhou, Ziqian Lin, Jiuming Wang, Dongchen He, Liang Hong, Qintong Li, Pengan Chen, Jiayang Chen, Xinrui Zhang, Jiao Yuan, Tianqing Zhang, Yu Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting.

Jiyue Jiang, Pengan Chen, Jiuming Wang, Dongchen He, Ziqin Wei, Liang Hong, Licheng Zong, Sheng Wang, Qinze Yu, Zixian Ma, Yanyu Chen, Yimin Fan, Xiangyu Shi, Jiawei Sun, Chuan Wu, Yu Li

CoRR, March, 2025

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models.

Jiyue Jiang, Alfred Kar Yin Truong, Yanyu Chen, Qinghang Bao, Sheng Wang, Pengan Chen, Jiuming Wang, Lingpeng Kong, Yu Li, Chuan Wu

CoRR, March, 2025

RBPtool: A Deep Language Model Framework for Multi-Resolution RBP-RNA Binding Prediction and RNA Molecule Design.

Jiyue Jiang, Yitao Xu, Zikang Wang, Yihan Ye, Yanruisheng Shao, Yuheng Shan, Jiuming Wang, Xiaodan Fan, Jiao Yuan, Yu Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models.

Jiyue Jiang, Alfred Kar Yin Truong, Yanyu Chen, Qinghang Bao, Sheng Wang, Pengan Chen, Jiuming Wang, Lingpeng Kong, Yu Li, Chuan Wu

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

2024

Deep generative design of RNA aptamers using structural predictions.

Felix Wong, Dongchen He, Aarti Krishnan, Liang Hong, Alexander Z. Wang, Jiuming Wang, Zhihang Hu, Satotaka Omori, Alicia Li, Jiahua Rao, Qinze Yu, Wengong Jin, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins

Nat. Comput. Sci., November, 2024

2023

AcrNET: predicting anti-CRISPR with deep learning.

Yunxiang Li, Yumeng Wei, Sheng Xu, Qingxiong Tan, Licheng Zong, Jiuming Wang, Yixuan Wang, Jiayang Chen, Liang Hong, Yu Li

Bioinform., May, 2023