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 006 (Bioinform., 2023)

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; et al. (Nat. Comput. Sci., 2024)

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 006; Chuan Wu (CoRR, 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; et al. (CoRR, 2025)

DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design. - Yanting Li; Jiyue Jiang; Zikang Wang; Ziqian Lin; Dongchen He; Yuheng Shan; Yanruisheng Shao; Jiayi Li; Xiangyu Shi; Jiuming Wang; Yanyu Chen; Yimin Fan; et al. (CoRR, 2025)