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。
Zhang Y, Li J, Li X, et al. FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection with Online Candidate Tuning[J]. IEEE Transactions on Medical Imaging, 2023.
Li F, Qu H, Fu M, et al. Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 53(2): 882-896.
Wang J, Huang H, Wang H, et al. An attention-based neural network model for automatic partition of abdominal lymph nodes in CT imaging[J]. Quantitative Imaging in Medicine and Surgery, 2023, 13(9): 5483.
Wang H, Jiang D, Zhang H, et al. An Explainable Coarse-to-fine Survival Analysis Method on Multi-center Whole Slide Images[J]. IEEE Transactions on Artificial Intelligence, 2023.
Zhang K, Xie M, Zhang Y, et al. Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems[C]//International Workshop on Algorithmic Bias in Search and Recommendation. Cham: Springer Nature Switzerland, 2023: 42-58.
Cui J, Zhang Y, Xie M, et al. A Multi-task Network with Centerline Supervision for 3D Pelvis Artery Segmentation on CECT images[C]//2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023: 1-8.
Wang J, Zhang H, Yi Z. CCTrans: Improving Medical Image Segmentation with Contoured Convolutional Transformer Network[J]. Mathematics, 2023, 11(9): 2082.
Hu J, Yu C, Yi Z, et al. Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation[J]. International Journal of Neural Systems, 2023: 2350060-2350060.
Chen S, Huang H, Yang X, et al. TeachMe: a web-based teaching system for annotating abdominal lymph nodes[J]. Scientific Reports, 2022, 12(1): 5167.
Li F, Fu M, Chen W, et al. Improving Exploration in Actor–Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.
Wang H, Yi F, Wang J, et al. RECISTSup: Weakly-supervised lesion volume segmentation using RECIST measurement[J]. IEEE Transactions on Medical Imaging, 2022, 41(7): 1849-1861.
Liu Y, Wang H, Chen Z, et al. TransUNet+: Redesigning the skip connection to enhance features in medical image segmentation[J]. Knowledge-Based Systems, 2022, 256: 109859.
Li H, Islam M T, Huangliang K, et al. SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction[C]//Pacific Rim International Conference on Artificial Intelligence. Cham: Springer Nature Switzerland, 2022: 169-182.
Wang J, Zhang H, Yi Z. Partially Recurrent Network With Highway Connections[J]. IEEE Transactions on Cognitive and Developmental Systems, 2021, 14(4): 1465-1473.
Huang Y, Huang S, Wang H, et al. A prior-based method for colorectal lymph node region classification via deep neural network[C]//2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021: 1741-1748.
Pan Z, Huang S, Wang H, et al. Multi-context 3D Resnet for Small-size False Positive Reduction in Pelvic Lymph Node Detection[C]//2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021: 1773-1780.
Zhu J, Zhang H, Pan Z. Value-Based Continuous Control Without Concrete State-Action Value Function[C]//Advances in Swarm Intelligence: 12th International Conference, ICSI 2021, Qingdao, China, July 17–21, 2021, Proceedings, Part II 12. Springer International Publishing, 2021: 352-364.
Wang H, Huang H, Wang J, et al. An intelligent system of pelvic lymph node detection[J]. International Journal of Intelligent Systems, 2021, 36(8): 4088-4116.
Peng X, Zhu H, Feng J, et al. Deep clustering with sample-assignment invariance prior[J]. IEEE transactions on neural networks and learning systems, 2019, 31(11): 4857-4868.
Wang H, Zhang H, Hu J, et al. DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks[J]. International Journal of Intelligent Systems, 2020, 35(12): 1987-2008.
Zhen L, Peng D, Zhang H, et al. Underdetermined mixing matrix estimation by exploiting sparsity of sources[J]. Measurement, 2020, 152: 107268.
Chen D, Lv J, Yin J, et al. Angle-based embedding quality assessment method for manifold learning[J]. Neural Computing and Applications, 2019, 31: 839-849.
Chen J, Mao H, Zhang H, et al. Symmetric low-rank preserving projections for subspace learning[J]. Neurocomputing, 2018, 315: 381-393.
Guo Q, Zhang H, Yi Z. High-order measurements for residual classifiers[J]. IEEE Transactions on Neural Networks and Learning Systems, 2016, 28(5): 1030-1042.
Chen J, Zhang H, Mao H, et al. Symmetric low-rank representation for subspace clustering[J]. Neurocomputing, 2016, 173: 1192-1202.
Mao L, Lv J, Xu H, et al. A web-based system designed to generate abstract paintings[C]//2016 6th International Conference on Information Communication and Management (ICICM). IEEE, 2016: 79-83.
Da C, Zhang H, Sang Y. Brain CT image classification with deep neural networks[C]//Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Springer International Publishing, 2015: 653-662.
Zhang H, Yi Z, Peng X. fLRR: fast low‐rank representation using Frobenius‐norm[J]. Electronics Letters, 2014, 50(13): 936-938.
Peng D, Yi Z, Xiang Y, et al. A globally convergent MC algorithm with an adaptive learning rate[J]. IEEE Transactions on Neural Networks and Learning Systems, 2011, 23(2): 359-365.
QIU Q, LI J, QUAN B, et al. Similarity search based on semantic features of bibliographic information network[J]. Journal of Computer Applications, 2018, 38(5): 1327.
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