Feature screening for ultrahigh dimensional categorical data with covariates missing at random. - Lyu Ni; Fang Fang; Jun Shao (Comput. Stat. Data Anal., 2020)

Mallows model averaging with effective model size in fragmentary data prediction. - Chaoxia Yuan; Fang Fang; Lyu Ni (Comput. Stat. Data Anal., 2022)

Dynamic self-paced sampling ensemble for highly imbalanced and class-overlapped data classification. - Fang Zhou; Suting Gao; Lyu Ni; Martin Pavlovski; Qiwen Dong; Zoran Obradovic; Weining Qian (Data Min. Knowl. Discov., 2022)

Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels. - Keqiang Li; Siyang Weng; Peiyuan Liu; Lyu Ni; Chengcheng Yang; Rong Zhang 002; Xuan Zhou 001; Jianghang Lou; Gui Huang; Weining Qian; Aoying Zhou (ICDE, 2023)

Leopard: A General Test Suite for Isolation Level Verification. - Peiyuan Liu; Siyang Weng; Keqiang Li; Lyu Ni; Chengcheng Yang; Rong Zhang 002; Weining Qian; Dian Qiao (CIDR, 2024)

Touchstone+ : Query Aware Database Generation for Match Operators. - Hao Li; Qingshuai Wang; Zirui Hu; Xuhua Huang; Lyu Ni; Rong Zhang 002; Peng Cai; Xuan Zhou 001; Quanqing Xu (DASFAA (1), 2024)

DBStorm: Generating Various Effective Workloads for Testing Isolation Levels. - Keqiang Li; Siyang Weng; Lyu Ni; Chengcheng Yang; Rong Zhang 002; Xuan Zhou 001; Aoying Zhou (ISSTA, 2024)

Adversarial Conservative Alternating Q-Learning for Credit Card Debt Collection. - Wenhui Liu; Jiapeng Zhu 002; Lyu Ni; Jingyu Bi; Zhijian Wu; Jiajie Long; Mengyao Gao; Dingjiang Huang; Shuigeng Zhou (IEEE Trans. Knowl. Data Eng., 2025)