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Dr. Haochuan JIANG is presently an assistant professor at the School of Robotics within Xi'an Jiaotong-Liverpool University Entrepreneur College (Taicang). Additionally, he is holding the position of the Program Director for the B.Eng. Intelligent Robotics Engineering with Contemporary Entrepreneurialism, a role he has fulfilled from September 2020 till September 2023.

In July, 2019, Dr. Haochuan JIANG attained his Ph.D. from the Department of Electrical Engineering and Electronics at University of Liverpool. Earlier, in November, 2013, he completed his M.Sc. from the Department of Mechanical Automation and Engineering at the Chinese University of Hong Kong, P.R. China, achieving placement on the Dean's List, denoting the top 5% of students. Furthermore, he earned his B.Eng. degree in Mechanical and Automation Engineering from the School of Mechatronics at the China University of Mining and Technology in June, 2011.

Beyond his academic pursuits, Dr. Haochuan JIANG held the role of new-tech researching engineer at ECOVACS Robotic (Suzhou) Co. Ltd.'s Commercial Robotic R&D Center from 2013 to 2014. In 2019, he served as an algorithm and model researcher in the Platform and Content Group of Tencent Tech., Shenzhen. Prior to joining XJTLU, Dr. Haochuan JIANG worked as a post-doctoral research associate at the University of Edinburgh's School of Engineering from 2019 to 2020.

Qualifications
- Ph. D. in Electric Engineering and Electronics, University of Liverpool - 2019
- M.Sc. in Mechanical Engineering and Automation, The Chinese University of Hong Kong - 2013
- B.Eng in Mechanical and Automation Engineering, China University of Mining and Technology - 2011
Experience
- Lecturer (Assistant Professor), School of Robotics, Xi'an Jiaotong-Liverpool University Entrepreneur Collage (Taicang) - 2020 to Present
- Postdoctoral Research Associate, School of Engineering, University of Edinburgh - 2019 to 2020
- Researcher, the Platform and Content Group, Tencent (Shenzhen) - 2019
- New-Tech R&D Engineer, Commercial Robot R&D Dept., Ecovacs (Suzhou) Robotics Co. Ltd - 2013-2014.
Research interests
- Medical image analysis with deep learning models
- Generative Models, Disentangled representation Learning, Image Segmentation with deep models;
- Deep Learning, Machine Learning, Computer Vision;
Articles
- Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martin-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu7, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Elodie Puybareau, Ilkay Oksuz, Stephanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura M. Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang, "MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images." arXiv preprint arXiv:2201.03186 (2022). APA
- Haochuan JIANG , Kaizhu HUANG, Tingting MU, Rui ZHANG, Ting T.O., Chen WANG, “Robust One-Shot Facial Expression Recognition with Sunglasses,” International Journal of Machine Learning and Computing, vol. 6, no. 2, 2016;
- Haochuan JIANG, Kaizhu HUANG, Rui ZHANG, Amir HUSSAIN, “Style-Neutralized Pattern Classification based on Adversarially Trained Upgraded U-Net,” Cognitive Computation, pp. 1-14, 2019;
- Jieming MA, Haochuan JIANG , Ziqiang BI, Kaizhu HUANG, Xingshuo LI, Huiqing WEN, “Maximum Power Point Estimation for Photovoltaic String subjected to Partial Shading Scenarios,” IEEE Transactions on Industry Applications, 2018;
- Kaizhu HUANG, Haochuan JIANG, Xu-Yao ZHANG, “Field Support Vector Machines (initial version),” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 6, 2017;
- Jieming MA, Haochuan JIANG, Kaizhu HUANG, Ziqiang BI and Ka Lok MAN, “Novel FieldSupport Vector Regression-based Soft Sensor for Accurate Estimation of Solar Irradiance,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 12, pp.3183-3191, 2017;
Proceedings
- Jinyi Jiang, Tianyi Liu, and Haochuan Jiang; "Dilation and Erosion for Left Atrium Scar Segmentation," in Proceedings of the 1st International Conference of Intelligent Manufacturing and Robotics (ICiMR-23, Taicang, Suzhou, P.R. China, Aug. 2023)
- Haochuan Jiang, Guanyu Yang, Fei Cheng, and Kaizhu Huang, "Generalized W-Net: Arbitrary-style Chinese Character Synthesization," in Proceedings of the 13th International Conference on Brain Inspired Cognitive System, Springer, 2023 (BICS-2023, Kuala Lumpur, Malaysia, July 2023)
- Tianyi Liu; Size Hou; Jiayuan Zhu; Zilong Zhao; Haochuan Jiang* “UGformer for Robust Left Atrium and Scar Segmentation Across Scanners” (MICCAI-2022 LAScarQS Challenge, Singapore, Sept. 2022)
- Haochuan JIANG, Agisilaos CHARTSIANS, Xinheng ZHANG, Giorgos PAPANASTASIOU, Scott SEMPLE, Marc DWECK, David NEWBY, Rohan DHARMAKUMAR, Sotirios A. TSAFTARIS, ”Semisupervised Pathology Segmentation with Disentangled Representation,” in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention workshop: Domain Adaptation and Representation Transfer, (MICCAI-DART-2020, Lima, Peru, Oct., 2020);
- Haochuan Jiang, Chengjia WANG, Agisilaos CHARTSIANS, Sotirios A. TSAFTARIS, ”Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling,” in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention challenge: Myocardial pathology segmentation combining multi-sequence CMR - MyoPS 2020, (MICCAI-MyoPS-2020, Lima, Peru, Oct., 2020);
- Agisilaos CHARTSIANS, Haochuan JIANG, Giorgos PAPANASTASIOU, Chengjia WANG, Colin STIRRAT, Scott SEMPLE, David NEWBY, Rohan DHARMAKUMAR, Sotirios A. TSAFTARIS, ”Stop copying contours from Cine to LGE: multimodal learning with disentangled representations needs zero annotations,” in Proceedings of the 28th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, (ISMRM-2020, Paris, France, Aug., 2020);
- Fajie YUAN, Xiangnan HE, Haochuan JIANG, Guibing GUO, Jian XIONG, Zhezhao XU, Yilin XIONG, ”Future Data Helps Training: Modelling Future Contexts for Session-based Recommendation,” in Proceedings of the The WEB Conference, Taipei, Taiwan, China, Apr. 2020;
- Haochuan JIANG, Guanyu YANG, Kaizhu HUANG, Rui ZHANG, “W-Net: One-Shot ArbitraryStyle Chinese Character Generation with Deep Neural Networks,” in Proceedings of the International Conference on Neural Information Processing, Springer, 2018, (ICONIP-2018, Siem Reap, Cambodia, Dec. 2018);
- Haochuan JIANG, Kaizhu HUANG, Rui ZHANG, Amir HUSSAIN, “Style Neutralization Generative Adversarial Classifier,” in Proceedings of the International Conference on Brain Inspired Cognitive System, Springer, 2018, pp. 3-13 (BICS-2018, Xi’an, Shannxi, P.R. China, Jun., 2018);
- Kaizhu HUANG, Haochuan JIANG, Xu-Yao ZHANG, “Field Support Vector Machines (extended version),” in Proceedings of the International Conference on Internet of Things and Machine Learning, ACM, 2017, pp. 72-83 (IML-2017, Liverpool, England, U.K., Oct., 2017);
- Haochuan JIANG, Kaizhu HUANG, Rui ZHANG, “Field Support Vector Regression,” in Proceedings of the International Conference on Neural Information Processing, Springer, 2017, pp. 699-708 (ICONIP-2017, Guangzhou, Canton, P.R. China, Nov., 2017),
- Haochuan JIANG , Kaizhu HUANG, Tingting MU, Rui ZHANG, Ting T.O., Chen WANG, “Robust One-Shot Facial Expression Recognition with Sunglasses,” in Proceeding of the International Conference of Machine Learning and Computing (ICMLC-2016), Kowlong, HKSAR, P.R. China)
Books, monographs, compilations and manuals
- Haochuan JIANG, Kaizhu HUANG, Xu-Yao ZHANG, Rui ZHANG, “Self-Training Field Pattern Prediction based on Kernel Methods,” in Semi-Supervised Learning: Background, Applications and Future Directions (Guoqiang ZHONG, Kaizhu HUANG, 1st ed., pp. 123-169). 2018, New York, Nova Science Publisher Inc.;
Conference presentations
- Haochuan Jiang, Guanyu Yang, Fei Cheng, and Kaizhu Huang, "Generalized W-Net: Arbitrary-style Chinese Character Synthesization," in Proceedings of the 13th International Conference on Brain Inspired Cognitive System, Springer, 2023 (BICS-2023, Kuala Lumpur, Malaysia, July 2023)
- Jinyi Jiang, Tianyi Liu, and Haochuan Jiang; "Dilation and Erosion for Left Atrium Scar Segmentation," in Proceedings of the 1st International Conference of Intelligent Manufacturing and Robotics (ICiMR-23, Taicang, Suzhou, P.R. China, Aug. 2023)
- Tianyi Liu; Size Hou; Jiayuan Zhu; Zilong Zhao; Haochuan Jiang* “UGformer for Robust Left Atrium and Scar Segmentation Across Scanners” (MICCAI-2022 LAScarQS Challenge, Singapore, Sept. 2022)
- Haochuan Jiang, Chengjia WANG, Agisilaos CHARTSIANS, Sotirios A. TSAFTARIS, ”Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling,” in Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention challenge: Myocardial pathology segmentation combining multi-sequence CMR - MyoPS 2020, (MICCAI-MyoPS-2020, Lima, Peru, Oct., 2020);
- Agisilaos CHARTSIANS, Haochuan JIANG, Giorgos PAPANASTASIOU, Chengjia WANG, Colin STIRRAT, Scott SEMPLE, David NEWBY, Rohan DHARMAKUMAR, Sotirios A. TSAFTARIS, ”Stop copying contours from Cine to LGE: multimodal learning with disentangled representations needs zero annotations,” in Proceedings of the 28th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, (ISMRM-2020, Paris, France, Aug., 2020);
- Haochuan JIANG, Guanyu YANG, Kaizhu HUANG, Rui ZHANG, “W-Net: One-Shot ArbitraryStyle Chinese Character Generation with Deep Neural Networks,” in Proceedings of the International Conference on Neural Information Processing, Springer, 2018, (ICONIP-2018, Siem Reap, Cambodia, Dec. 2018);
- Haochuan JIANG, Kaizhu HUANG, Rui ZHANG, Amir HUSSAIN, “Style Neutralization Generative Adversarial Classifier,” in Proceedings of the International Conference on Brain Inspired Cognitive System, Springer, 2018, pp. 3-13 (BICS-2018, Xi’an, Shannxi, P.R. China, Jun., 2018);
- Kaizhu HUANG, Haochuan JIANG, Xu-Yao ZHANG, “Field Support Vector Machines (extended version),” in Proceedings of the International Conference on Internet of Things and Machine Learning, ACM, 2017, pp. 72-83 (IML-2017, Liverpool, England, U.K., Oct., 2017);
- Haochuan JIANG, Kaizhu HUANG, Rui ZHANG, “Field Support Vector Regression,” in Proceedings of the International Conference on Neural Information Processing, Springer, 2017, pp. 699-708 (ICONIP-2017, Guangzhou, Canton, P.R. China, Nov., 2017),
- Haochuan JIANG , Kaizhu HUANG, Tingting MU, Rui ZHANG, Ting T.O., Chen WANG, “Robust One-Shot Facial Expression Recognition with Sunglasses,” in Proceeding of the International Conference of Machine Learning and Computing (ICMLC-2016), Kowlong, HKSAR, P.R. China)
Teaching activities
- RBE306TC: Computer Vision Systems
- RBE105TC: Introduction to Intelligent Robotics and Applications (Co-Lecturing)
- RBE104TC: C/C++ Programming Language
Courses taught
- EE330: Digital Image Processing (Teaching Assistant in 2017-2018);
- EE118: Engineering Drawing (Teaching Assistant in 2016-2018);
- EE116: Experimental, Computer Skills and Sustainability (primary tutor of the Matlab tutorials in 2017-2018);
- EE103: Electric Circuits I (Teaching Assistant in 2014-2019);
- EE101/102: C/C++ Programming and Software Engineering (Teaching Assistant in 2014-2019);
- IND212: Industrial Design (Teaching Assistant in 2019);
Awards and honours
- Best Student Paper Award: BICS-2018
- Best Paper Finalist Award: ICONIP-2017

电话
+86 (0)51288970768
电子邮件
h.jiang@xjtlu.edu.cn
地址
A-4005(TC Campus-Building A)
Suzhou Dushu Lake Science and Education Innovation District
Suzhou Industrial Park
Suzhou
P.R.China
215123

Haochuan JiangPh.D.

Profile

Qualifications

Experience

Research interests

Articles

Proceedings

Books, monographs, compilations and manuals

Conference presentations

Teaching activities

Courses taught

Awards and honours