Bilevel Learning Model Towards Industrial Scheduling. - Longkang Li; Hui-Ling Zhen; Mingxuan Yuan; Jiawen Lu; Xialiang Tong; Jia Zeng; Jun Wang 012; Dirk Schnieders (CoRR, 2020)

Backdoor Attack with Sample-Specific Triggers. - Yuezun Li; Yiming Li 004; Baoyuan Wu; Longkang Li; Ran He 001; Siwei Lyu (CoRR, 2020)

Invisible Backdoor Attack with Sample-Specific Triggers. - Yuezun Li; Yiming Li 004; Baoyuan Wu; Longkang Li; Ran He 001; Siwei Lyu (ICCV, 2021)

A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. - Siyuan Liang; Longkang Li; Yanbo Fan; Xiaojun Jia; Jingzhi Li 002; Baoyuan Wu; Xiaochun Cao (ECCV (4), 2022)

Imitated Detectors: Stealing Knowledge of Black-box Object Detectors. - Siyuan Liang; Aishan Liu; Jiawei Liang; Longkang Li; Yang Bai; Xiaochun Cao (ACM Multimedia, 2022)

Bilevel learning for large-scale flexible flow shop scheduling. - Longkang Li; Xiaojin Fu; Hui-Ling Zhen; Mingxuan Yuan; Jun Wang 012; Jiawen Lu; Xialiang Tong; Jia Zeng; Dirk Schnieders (Comput. Ind. Eng., 2022)

Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. - Longkang Li; Baoyuan Wu (CoRR, 2022)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Xiaochun Cao; Chris Ding; Hongyuan Zha; Baoyuan Wu (CoRR, 2022)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Chris Ding; Hongyuan Zha; Baoyuan Wu (AAAI, 2024)