Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model. - Zhenting Qi; Ruike Zhu; Zheyu Fu; Wenhao Chai; Volodymyr V. Kindratenko (ICTAI, 2022)

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. - Eliu A. Huerta; Ben Blaiszik; L. Catherine Brinson; Kristofer E. Bouchard; Daniel Diaz 003; Caterina Doglioni; Javier M. Duarte; Murali Emani; Ian T. Foster; Geoffrey C. Fox; Philip C. Harris; Lukas Heinrich; et al. (CoRR, 2022)

Generative Graph Dictionary Learning. - Zhichen Zeng 001; Ruike Zhu; Yinglong Xia; Hanqing Zeng; Hanghang Tong (ICML, 2023)

FAIR AI models in high energy physics. - Javier M. Duarte; Haoyang Li; Avik Roy; Ruike Zhu; Eliu A. Huerta; Daniel Diaz 003; Philip C. Harris; Raghav Kansal; Daniel S. Katz; Ishaan H. Kavoori; Volodymyr V. Kindratenko; Farouk Mokhtar; et al. (Mach. Learn. Sci. Technol., 2023)

MSP-SR: Multi-Stage Probabilistic Generative Super Resolution with Scarce High-Resolution Data. - Ruike Zhu; Matthew Charles Weston; Hanwen Zhang; Arindam Banerjee 001 (UAI, 2025)

Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation. - Xiyue Zhu; Dou Hoon Kwark; Ruike Zhu; Kaiwen Hong; Yiqi Tao; Shirui Luo; Yudu Li; Zhi-Pei Liang; Volodymyr V. Kindratenko (CoRR, 2025)

RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation. - Pengcheng Jiang; Lang Cao; Ruike Zhu; Minhao Jiang; Yunyi Zhang 001; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

The 4th Dimension for Scaling Model Size. - Ruike Zhu; Hanwen Zhang; Tianyu Shi; Chi Wang; Tianyi Zhou; Zengyi Qin (CoRR, 2025)