ENdb: a manually curated database of experimentally supported enhancers for human and mouse. - Xuefeng Bai 002; Shanshan Shi; Bo Ai 005; Yong Jiang 004; Yuejuan Liu; Xiaole Han; Mingcong Xu; Qi Pan; Fan Wang 026; Qiuyu Wang; Jian Zhang 084; Xuecang Li; et al. (Nucleic Acids Res., 2020)

VARAdb: a comprehensive variation annotation database for human. - Qi Pan; Yuejuan Liu; Xuefeng Bai 002; Xiaole Han; Yong Jiang 004; Bo Ai 005; Shanshan Shi; Fan Wang 026; Mingcong Xu; Yuezhu Wang; Jun Zhao; Jiaxin Chen; et al. (Nucleic Acids Res., 2021)

ATACdb: a comprehensive human chromatin accessibility database. - Fan Wang 026; Xuefeng Bai 002; Yuezhu Wang; Yong Jiang 004; Bo Ai 005; Yong Zhang; Yuejuan Liu; Mingcong Xu; Qiuyu Wang; Xiaole Han; Qi Pan; Yanyu Li; et al. (Nucleic Acids Res., 2021)

SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse. - Fengcui Qian; Li-Wei Zhou; Yanyu Li; Zhengmin Yu; Li-Dong Li; Yuezhu Wang; Mingcong Xu; Qiuyu Wang; Chunquan Li 002 (Nucleic Acids Res., 2023)

A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning. - Xiaojin Zhang 002; Mingcong Xu; Wei Chen 088 (CoRR, 2024)

FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning. - Mingcong Xu; Xiaojin Zhang 002; Wei Chen 088; Hai Jin 001 (CoRR, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning. - Xiaojin Zhang 002; Mingcong Xu; Yiming Li; Wei Chen 088; Qiang Yang 001 (CoRR, 2025)