A reinforcement learning based approach for multi-projects scheduling in cloud manufacturing. - Shengkai Chen; Shuiliang Fang; Renzhong Tang (Int. J. Prod. Res., 2019)

AI-Enabled Plastic Pollution Monitoring System for Toronto Waterways. - Benjamin O. Kelly; Shengkai Chen; Eric Pengyu Zhou; Maher Elshakankiri (IOTSMS, 2023)

Heterogeneous network impulsive dynamics for identifying disease-associated genes. - Ju Xiang; Shengkai Chen; Lin-Cong-Hua Wang; Xiangmao Meng; Min Li (BIBM, 2024)

MSMK: Multiscale Module Kernel for Identifying Disease-Related Genes. - Ju Xiang; Shengkai Chen; Xiangmao Meng; Ruiqing Zheng; Ying Zheng; Min Li 007 (ISBRA (1), 2024)

Reinforced Reweighting for Self-Supervised Partial Domain Adaptation. - Keyu Wu 002; Shengkai Chen; Min Wu 008; Shili Xiang; Ruibing Jin; Yuecong Xu; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Artif. Intell., 2024)

Intelligent Algorithms of Action Recognition for Cardiopulmonary Resuscitation Based on Wearable Device. - Shengkai Chen; Yuanyuan Liu; Xiaofei Mi; Ju Xiang; Dianyi Song (ISBRA (1), 2025)

OpenAVS: Training-Free Open-Vocabulary Audio Visual Segmentation with Foundational Models. - Shengkai Chen; Yifang Yin; Jinming Cao; Shili Xiang; Zhenguang Liu; Roger Zimmermann (CoRR, 2025)