Nonconvex Stochastic Nested Optimization via Stochastic ADMM. - Zhongruo Wang (CoRR, 2019)

Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. - Zhongruo Wang; Krishnakumar Balasubramanian 002; Shiqian Ma; Meisam Razaviyayn (CoRR, 2020)

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. - Zhongruo Wang; Bingyuan Liu; Shixiang Chen; Shiqian Ma; Lingzhou Xue; Hongyu Zhao 003 (INFORMS J. Optim., 2022)

Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities. - Zhongruo Wang; Krishnakumar Balasubramanian 002; Shiqian Ma; Meisam Razaviyayn (J. Glob. Optim., 2023)

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. - Minghao Liu 009; Zonglin Di; Jiaheng Wei; Zhongruo Wang; Hengxiang Zhang; Ruixuan Xiao; Haoyu Wang 001; Jinlong Pang; Hao Chen 102; Ankit Shah 001; Hongxin Wei; Xinlei He 001; et al. (CoRR, 2024)

A Survey for Large Language Models in Biomedicine. - Chong Wang; Mengyao Li; Junjun He; Zhongruo Wang; Erfan Darzi; Zan Chen; Jin Ye 002; Tianbin Li; Yanzhou Su; Jing Ke; Kaili Qu; Shuxin Li; et al. (CoRR, 2024)

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. - Jiacheng Lin; Kun Qian 018; Haoyu Han; Nurendra Choudhary; Tianxin Wei; Zhongruo Wang; Sahika Genc; Edward W. Huang; Sheng Wang 012; Karthik Subbian; Danai Koutra; Jimeng Sun 001 (CoRR, 2024)

GmNet: Revisiting Gating Mechanisms From A Frequency View. - Yifan Wang; Xu Ma; Yitian Zhang; Zhongruo Wang; Sung-Cheol Kim; Vahid Mirjalili; Vidya Renganathan; Yun Fu (CoRR, 2025)

Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. - Xinnan Zhang; Chenliang Li; Siliang Zeng; Jiaxiang Li; Zhongruo Wang; Kaixiang Lin; Songtao Lu; Alfredo García 001; Mingyi Hong 001 (CoRR, 2025)