Zhang Haixian received Ph.D. degree in Applied Mathematics from the University of Electronic Science and Technology of China in 2010, supervised by Prof. Zhang Yi.
She was a visiting scholar at Oklahoma State University in 2016. Her research intrest includes Atificial Intelligence, Medical Image, Gastrointestinal Intelligent Medicine. At present, she is an associate professor in the school of computer science of Sichuan University.
As the leader of the participating units and one of the key fund projects of the National Natural Science Foundation, she has presided over many provincial and ministerial projects such as the youth fund of the National Natural Science Foundation, the Doctoral Program Fund of the Ministry of education and the key R & D plan of Sichuan Province.
It has been granted 7 national invention patents, Sichuan Science and Technology Progress Award and other honor.
Some intelligent medical application participated in the research and development has been carried out in clinical trials in a number of Grade-A tertiary hospital across the country.
于2010年在电子科技大学获得应用数学博士学位，导师是章毅教授。 2016年于俄克拉荷马州立大学做访问学者。目前从事人工智能、医学图像、胃肠智能医学等研究。现就职于四川大学计算机学院，任副教授。曾作为参与单位负责人牵头、国家自然科学基金重点基金项目一项，曾主持国家自然科学基金青年基金、教育部博士点基金、 四川省重点研发计划等多个省部级项目。获得授权国家发明专利7项，四川省科技进步奖等多个奖项。参与研发的智能医学应用已在全国多家三甲医院开展临床试用。
Wang, Han, Fasheng Yi, Jingling Wang, Zhang Yi and Haixian Zhang. “RECISTSup: Weakly-supervised Lesion Volume Segmentation using RECIST Measurement.” IEEE transactions on medical imaging PP (2022): n. pag.
Wang, Han, Hao Huang, Jingling Wang, Mingtian Wei, Zhang Yi, Ziqiang Wang and Haixian Zhang. “An intelligent system of pelvic lymph node detection.” International Journal of Intelligent Systems 36 (2021): 4088 - 4116.
Han Wang; Haixian Zhang; Junjie Hu; Ying Song; Sen Bai; Zhang Yi*; Deep EC: An error correction framework for dose prediction and organ segmentation using deep neural networks, International Journal of Intelligent Systems, 2020, 35(12): 1987-2008.
Zhu, Jin, Haixian Zhang and Zhen-ning Pan. “Value-Based Continuous Control Without Concrete State-Action Value Function.” ICSI (2021).
Peng, Xi, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, and Joey Tianyi Zhou. "Deep clustering with sample-assignment invariance prior." IEEE transactions on neural networks and learning systems 31, no. 11 (2019): 4857-4868.
Quan Guo; Haixian Zhang*; Zhang Yi; High-Order Measurements for Residual Classifiers, IEEE trans. on Neural Networks and Learning Systems, 2016, 28(5): 1030-1042.
Jie Chen; Haixian Zhang; Hua Mao; Yongsheng Sang; Zhang Yi*; Symmetric low-rank representation for subspace clustering, Neurocomputing, 2016, 173(3): 1192-1202.
Haixian Zhang; Zhang Yi*; Xi Peng; fLRR: fast low-rank representation using Frobenius-norm, Electronics Letters, 2014, 50(13): 936-938.
Member, Artificial Intelligence Society, Sichuan
Member, Medical Robot and Medical Intelligence Committee, Sichuan
Member, Big Data Committee of Sichuan Computer Society, Sichuan