Retrospective on the SENSORIUM 2022 competition. - Konstantin F. Willeke; Paul G. Fahey; Mohammad Bashiri; Laura Hansel; Christoph Blessing; Konstantin-Klemens Lurz; Max F. Burg; Santiago A. Cadena; Zhiwei Ding; Kayla Ponder; Taliah Muhammad; Saumil S. Patel; et al. (NeurIPS (Competition and Demos), 2021)

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning. - Xin Zhang; Zixuan Liu 001; Kaiwen Xiao; Tian Shen; Junzhou Huang; Wei Yang 032; Dimitris Samaras; Xiao Han 011 (CoRR, 2021)

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. - Renzhen Wang; De Cai; Kaiwen Xiao; Xixi Jia; Xiao Han 011; Deyu Meng (CoRR, 2021)

RLTF: Reinforcement Learning from Unit Test Feedback. - Jiate Liu; Yiqin Zhu; Kaiwen Xiao; Qiang Fu 016; Xiao Han 011; Wei Yang 032; Deheng Ye (Trans. Mach. Learn. Res., 2023)

Exploring the Limitations and Implications of the JIGSAWS Dataset for Robot-Assisted Surgery. - Antonio Hendricks; Max Panoff; Kaiwen Xiao; Zhaoqi Wang; Shuo Wang 003; Christophe Bobda (IEEE Robotics Autom. Lett., 2024)

StdGEN: Semantic-Decomposed 3D Character Generation from Single Images. - Yuze He; Yanning Zhou 003; Wang Zhao; Zhongkai Wu; Kaiwen Xiao; Wei Yang 013; Yong-Jin Liu; Xiao Han (CVPR, 2025)

FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation. - Linyan Huang; Haonan Lin; Yanning Zhou 003; Kaiwen Xiao (CoRR, 2025)

PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer. - Jingwen Ye; Yuze He; Yanning Zhou 003; Yiqin Zhu; Kaiwen Xiao; Yong-Jin Liu; Wei Yang 013; Xiao Han (CoRR, 2025)