Publications

Recent Yanning Zhou#＊, Wentao Yuan#, Chi Yan, Honghui Wang, Guoyang Zhao, Feng Qiu, Kewei Wang, Yixiao Ge (2026). Si0: The capabilities that transfer, perceived through the robot's eyes. Technical Report, XPENG Robotics Blog.

Yukun Huang, Jiwen Yu, Yanning Zhou, Jianan Wang, Xintao Wang, Pengfei Wan, Xihui Liu (2026). OmniX: From Unified Panoramic Generation and Perception To Graphics-Ready 3D Scenes. Accepted by ECCV 2026🎉.

Youtan Yin, Yanning Zhou, Jiacheng Wei, Xiaofeng Yang, Jun Zhang, Jiayang Bai, Jingwen Ye, Weidong Zhang, Guosheng Lin (2026). EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning. Accepted by ECCV 2026🎉.

Yuze He, Yanning Zhou＊, Wang Zhao, Jingwen Ye, Zhongkai Wu, Ran Yi, Yong-Jin Liu (2026). StdGEN++: A Comprehensive System for Semantic-Decomposed 3D Character Generation. arXiv preprint.

Yuze He, Yanning Zhou＊, Wang Zhao, Jingwen Ye, Yushi Bai, Kaiwen Xiao, Yong-Jin Liu＊, Zhongqian Sun, Wei Yang (2025). CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling. SIGGRAPH ASIA 2025.

Yukun Huang, Yanning Zhou, Jianan Wang, Kaiyi Huang, Xihui Liu＊ (2025). DreamCube: 3D Panorama Generation via Multi-plane Synchronization. ICCV 2025.

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

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

Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, Hao Chen (2024). GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hao Jiang, Rushan Zhang, Yanning Zhou, Yumeng Wang, Hao Chen (2023). Donet: Deep de-overlapping network for cytology instance segmentation. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Hao Jiang, Yanning Zhou, Yi Lin, Ronald CK Chan, Jiang Liu, Hao Chen (2023). Deep learning for computational cytology: A survey. Medical Image Analysis.

Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Chu Han, Zaiyi Liu, Xin Hao Benjamin Fang, Others (2022). Rethinking annotation granularity for overcoming shortcuts in deep learning--based radiograph diagnosis: A multicenter study. Radiology: Artificial Intelligence.

Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng (2021). Oxnet: Deep omni-supervised thoracic disease detection from chest x-rays. Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part II 24.

Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng (2021). C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing. Proceedings of the IEEE/CVF International Conference on Computer Vision.

Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng (2020). Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention.

Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng (2019). IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention.

Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng (2019). CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. International Conference on Information Processing in Medical Imaging.