Haochuan Jiang

Profile

Dr. Haochuan JIANG is currently a lecturer (assistant professor) at the School of Robotics in the Xi'an Jiaotong-Liverpool University Entrepreneur Collage (Taicang). In addition, he is also taking the role of the Program Director of the B.Eng. in Intelligent Robotics Engineering.

Formerly, in 2019, Dr. Haochuan JIANG received the Ph.D. degree from the Department of Electrical Engineering and Electronics at the University of Liverpool. In 2013, he gained the M.Sc. degree from the Department of Mechanical Automation and Engineering at the Chinese University of Hong Kong, P.R.China, while being placed on the Dean's List (top 5%); In 2011, he graduated from the School of Mechatronics of the China University of Mining and Technology, receiving the B.Eng. degree in Mechanical and Automation Engineering.

Apart from his academic experience, Dr. Haochuan JIANG took the role as the new-tech researching engineer at the Commercial Robotic R&D Center of the ECOVACS Robotic (Suzhou) Co. Ltd., in 2013. He also served as an algorithm and model researcher in the Platform and Content Group of the Tencent Tech., Shenzhen in 2019. Before joining XJTLU, Dr. Haochuan Jiang was working as the post-doctoral research associate at the School of Engineering of the University of Edinburgh 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

    • 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)
    • 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),
    • 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, 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);
    • 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);
    • 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;
    • 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, 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);
  • 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, 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

    • RBE105TC: Introduction to Intelligent Robotics and Applications
    • 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
  • Telephone

    +86 (0)512 81888776
  • Email

    h.jiang@xjtlu.edu.cn
  • Address

    Science Building SC554C
    Suzhou Dushu Lake Science and Education Innovation District
    Suzhou Industrial Park
    Suzhou
    P.R.China
    215123