| 2026 | AAAI | LENS: Learning to Segment Anything with Unified Reinforced Reasoning. | Lianghui Zhu, Bin Ouyang, Yuxuan Zhang, Tianheng Cheng, Rui Hu, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Li Yu, Wenyu Liu, Xinggang Wang |
| 2025 | ICLR | ControlAR: Controllable Image Generation with Autoregressive Models. | Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang |
| 2023 | ECAI | PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining. | Yasan Ding, Bin Guo, Yan Liu, Hao Wang, Haocheng Shen, Zhiwen Yu |
| 2020 | MICCAI | Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. | Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han |
| 2020 | MICCAI | Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. | Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han |
| 2017 | ICIP | Fully connected CRF with data-driven prior for multi-class brain tumor segmentation. | Haocheng Shen, Jianguo Zhang |
| 2017 | ICIP | Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation. | Haocheng Shen, Jianguo Zhang, Wei-Shi Zheng |
| 2017 | MICCAI | Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. | Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna |
| 2014 | ECCV | Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study. | Haocheng Shen, Jianguo Zhang, Hui Zhang |