Haoming Li Organization：College of Control Science and Engineering, Zhejiang University Email：haomingli@zju.edu.cn

Education

• Sep. 2021-Mar. 2025. Research Doctor at College of ControlScience and Engineering, Zhejiang University, research with Dr.Qi Ye and Prof. Jiming Chen
• Sep. 2018-Jun. 2021. Master at School of Biomedical Engineering, Shenzhen University.
• Sep. 2014-Jun. 2018. Bachelor at School of Biomedical Engineering, Shenzhen University.

Research Interest

Previous Research

Deep learning for medical image analysis (including segmentation, detection, and classification for both 2D and 3D image analysis).

Current Research

Computer vision for dextrous hand grasp generation and motion planning.

Interest

Study related to computer vision, deep learning, or artificial intelligence.

Primary Publications

Conferences

• Li H, Yang X, Liang J, Shi W, Chen C, Dou H, Li R, Gao R, Zhou G, Fang J, Liang X. Contrastive Rendering for Ultrasound Image Segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020 Oct 4 (pp. 563-572). Springer, Cham. Link.

• Qin C^1, Li H^1, Liu Y, Shang H, Pei H, Wang X, Chen Y, Chang J, Feng M, Wang R, Yao J. 3D brain midline delineation for hematoma patients.International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021 Oct 1 (pp. 510-518). Springer International Publishing.Link

• Li H, Lin X, Zhou Y, Li X, Huo Y, Chen J, & Ye Q. Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint.International Joint Conference on Artificial Intelligence (IJCAI). 2023; arXiv preprint arXiv:2210.09245. Link

• Li, H., Ye, Q., Huo, Y., Liu, Q., Jiang, S., Zhou, T., … & Chen, J. (2024, May). TPGP: Temporal-Parametric Optimization with Deep Grasp Prior for Dexterous Motion Planning. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 18106-18112). IEEE.Link

Journal Articles

• Li H, Fang J, Liu S, Liang X, Yang X, Mai Z, Van MT, Wang T, Chen Z, Ni D. CR-Unet: a composite network for ovary and follicle segmentation in ultrasound images. IEEE journal of biomedical and health informatics (JBHI). 2019 Oct 7;24(4):974-83. Link

• Yang, X., Li, H., Wang, Y., Liang, X., Chen, C., Zhou, X., … & Ni, D. (2021). Contrastive Rendering with Semi-supervised Learning for Ovary and Follicle Segmentation from 3D Ultrasound. Medical Image Analysis(MIA), 102134. Link

Other Publications

• Liang J, Yang X, Li H, Wang Y, Van MT, Dou H, Chen C, Fang J, Liang X, Mai Z, Zhu G. Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS. In2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) 2020 Apr 3 (pp. 1793-1797). IEEE. Link.

• Liang X, Fang J, Li H, Yang X, Ni D, Zeng F, Chen Z. CR-Unet-Based Ultrasonic Follicle Monitoring to Reduce Diameter Variability and Generate Area Automatically as a Novel Biomarker for Follicular Maturity. Ultrasound in Medicine & Biology. 2020 Nov 1;46(11):3125-34. Link

• Yang X, Li H, Liu L, Ni D. Scale-aware Auto-context-guided Fetal US Segmentation with Structured Random Forests. BIO Integration. 2020 Sep 24. Link

• Liu Q, Cui Y, Sun Z, Li H, Li G, Shao L, … & Ye Q. DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations. International Conference on Intelligent Robots and Systems (IROS). 2023; arXiv preprint arXiv:2303.09806. Link