Short Text Classification Research Based on TW-CNN. - Kefeng Pei; Yongzhou Chen; Jing Ma; Weimin Nie (PACIS, 2018)

Skeptical Deep Learning with Distribution Correction. - Mingxiao An; Yongzhou Chen; Qi Liu 003; Chuanren Liu; Guangyi Lv; Fangzhao Wu; Jianhui Ma (CoRR, 2018)

SLO beyond the Hardware Isolation Limits. - Haoran Qiu; Yongzhou Chen; Tianyin Xu; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (CoRR, 2021)

FedSS: Federated Learning with Smart Selection of clients. - Ammar Tahir; Yongzhou Chen; Prashanti Nilayam (CoRR, 2022)

Controlling Congestion via In-Network Content Adaptation. - Yongzhou Chen; Ammar Tahir; Radhika Mittal (CoRR, 2022)

Octopus: In-Network Content Adaptation to Control Congestion on 5G Links. - Yongzhou Chen; Ammar Tahir; Francis Y. Yan; Radhika Mittal (SEC, 2023)

Channel-Aware 5G RAN Slicing with Customizable Schedulers. - Yongzhou Chen; Ruihao Yao; Haitham Hassanieh; Radhika Mittal (NSDI, 2023)

DROEG: a method for cancer drug response prediction based on omics and essential genes integration. - Peike Wu; Renliang Sun; Aamir Fahira; Yongzhou Chen; Huiting Jiangzhou; Ke Wang; Qiangzhen Yang; Yang Dai; Dun Pan; Yongyong Shi; Zhuo Wang (Briefings Bioinform., 2023)

Exploring the Multiple Paths of Digital Government Development: A Dynamic QCA Analysis Based on Organizational Transformation. - Fanjun Zeng; Yongzhou Chen; Bin Wei; Peng Wang; Shunqing Yang (IEEE Access, 2024)

Automated Parking Trajectory Generation Using Deep Reinforcement Learning. - Zheyu Zhang; Yutong Luo; Yongzhou Chen; Haopeng Zhao; Zhichao Ma; Hao Liu (CoRR, 2025)

5G RAN Slicing with Load Balanced Handovers. - Yongzhou Chen; Muhammad Taimoor Tariq; Haitham Hassanieh; Radhika Mittal (CoRR, 2025)