Deep Learning for Cell Classification in Histopathology Images Using Large-Scale Manually Annotated Datasets. - Leon Liu; Zhe Li; Ruijiang Li (BIBE, 2023)

Towards Explainable AI on Chest X-Ray Diagnosis Using Image Segmentation and CAM Visualization. - Leon Liu; Yiqiao Yin (FICC (1), 2023)

Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network. - Zhe Li 006; Yuming Jiang 005; Leon Liu; Yong Xia 001; Ruijiang Li (AMAI@MICCAI, 2023)

A multi-output network with U-net enhanced class activation map and robust classification performance for medical imaging analysis. - Jaiden Xuan Schraut; Leon Liu; Jonathan Gong; Yiqiao Yin (Discov. Artif. Intell., 2023)

Strongly Nonexpansive Mappings Revisited: Uniform Monotonicity and Operator Splitting. - Leon Liu; Walaa M. Moursi; Jon Vanderwerff (SIAM J. Optim., 2023)

Cube: A Roblox View of 3D Intelligence. - Kiran Bhat; Nishchaie Khanna; Karun Channa; Tinghui Zhou; Yiheng Zhu; Xiaoxia Sun; Charles Shang; Anirudh Sudarshan; Maurice Chu; Daiqing Li; Kangle Deng; Jean-Philippe Fauconnier; et al. (CoRR, 2025)

Dreamland: Controllable World Creation with Simulator and Generative Models. - Sicheng Mo; Ziyang Leng; Leon Liu; Weizhen Wang; Honglin He; Bolei Zhou (CoRR, 2025)