Jingcai Guo (郭径材)  [中文页面]

Ph.D., MIEEE, MACM, MCCF

Department of Computing (COMP)
Faculty of Engineering
The Hong Kong Polytechnic University

Office:PQ 509, PQ Wing, PolyU, Kowloon, Hong Kong SAR.
Email:[jingcai.guo AT gmail.com]

"Life is painting a picture, not doing a sum"

Short Bio

Dr. Guo is currently an Associate Professor with the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics (西南财经大学, 计算机与人工智能学院), Chengdu, China. He received his Ph.D. degree (computer science) from the Department of Computing at Hong Kong Polytechnic University (香港理工大学), Hong Kong SAR, China, supervised by Prof. Song Guo, Changjiang Chair Professorship (Ministry of Education of China), Fellow of IEEE, Fellow of AAIA, Fellow of Canadian Academy of Engineering (CAE). From 2019 to 2020, he was a Visiting Researcher with University of Sydney (悉尼大学), Sydney, Australia, supervised by Prof. Dacheng Tao, Fellow of IEEE, ACM, AAAS, IAPR, OSA, SPIE, IET/IEE, BCS. Before that, he received his M.E. degree in computer science from Waseda University (早稻田大学), Tokyo, Japan, supervised by Prof. Furuzuki Takayuki, and B.E. in computer science from Sichuan University (四川大学), Chengdu, China.

His research interest broadly lies in the areas of multimedia and artificial intelligence. Some specific topics such as zero-shot learning, federated learning, computer vision, cyber-security, and smart transportation are highly involved. He has served as the Publicity Chair for the 41st International Symposium on Reliable Distributed Systems (SRDS 2022), and has regularly served as program committee (PC) member and/or reviewer for several prestigious conferences and journals such as ACM-MM, AAAI, CVPR, NeurIPS, ICML, ICME, ECCV, IJCNN, IEEE TNNLS, IEEE TMM, IEEE TKDE, IEEE IoTJ, IEEE TII, IEEE TETC, etc. He is a member of IEEE, ACM, and CCF. He is the recipient of the Hong Kong Ph.D. Fellowship (H.K. government funded, 2017).

Education Background

• Ph.D.:  The Hong Kong Polytechnic University,  Sep. 2017 - Dec. 2020
  Supervisor: Prof. Song Guo, IEEE Fellow.
  Thesis Title: Learning Robust Visual-semantic Mapping for Zero-shot Learning.
  Committees: Prof. Song Guo (PolyU, IEEE Fellow), Prof. Baochun Li (UToronto, IEEE Fellow), Prof. Qingfu Zhang (CityU, IEEE Fellow), Prof. Xiapu Luo (PolyU).
  

• M.E.:  Waseda University,  Sep. 2013 - Sep. 2015
  Supervisor: Prof. Furuzuki Takayuki.
  Thesis Title: An Improved Incremental Training Approach for Support Vector Machine.
  Committees: Prof. Furuzuki Takayuki (WasedaU), Prof. IWAIHARA Mizuho (WasedaU) and Prof. KAMATA Sei-ichiro (WasedaU)

• B.E.:  Sichuan University,  Sep. 2009 - Jun. 2013

Selected Papers

• [TNNLS]  Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario,
  J. Guo, S. Guo, S. Ma, Y. Sun, and Y. Xu.
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
  (JCR-Q1/中科院1区, IF=10.451, Early Access).
  [BibTeX] [EndNote]

• [IJCAI]  Personalized Federated Learning with Contextualized Generalization,
  X. Tang, S. Guo, J. Guo.
  in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI '22), Vienna, Austria, 2022.
  (CCF-A Rank, H5-index=95, Accept).
  [BibTeX] [EndNote]

• [USENIX-ATC]  INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning,
  Q. Zhou, S. Guo, Z. Qu, J. Guo, Z. Xu, J. Zhang, T. Guo, B. Luo, and J. Zhou.
  in Proceedings of the 2021 USENIX Annual Technical Conference (USENIX ATC '21), virtual conference, 2021.
  (CCF-A Rank, H5-index=45).
  [BibTeX] [EndNote]

• [IoTJ]  On-device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective,
  Q. Zhou, Z. Qu, S. Guo, B. Luo, J. Guo, Z. Xu, and R. Akerkar.
  IEEE Internet of Things Journal (IoTJ).
  (JCR-Q1/中科院1区, IF=9.936, DOI: 10.1109/JIOT.2021.3063147).
  [BibTeX] [EndNote]

• [ACM-MM]  Dual-view Attention Networks for Single Image Super-Resolution,
  J. Guo, S. Ma, J. Zhang, Q. Zhou, and S. Guo.
  in Proceedings of the 28th ACM International Conference on Multimedia (ACM MM '20), Seattle, WA, USA, 2020.
  (CCF-A Rank, H5-index=58, DOI: 10.1145/3394171.3413613).
  [BibTeX] [EndNote]

• [TMM]  A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion,
  J. Guo and S. Guo.
  IEEE Transactions on Multimedia (TMM).
  (JCR-Q1/中科院1区, IF = 6.513, DOI: 10.1109/TMM.2020.2984091).
  [BibTeX] [EndNote]

• [ICASSP]  Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition,
  J. Guo and S. Guo.
  in Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '19), Brighton, United Kingdom, 2019.
  (CCF-B Rank, H5-index=86, DOI: DOI: 10.1109/ICASSP.2019.8682869).
  [BibTeX] [EndNote]

• [ICASSP]  EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach,
  J. Guo and S. Guo.
  in Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '19), Brighton, United Kingdom, 2019.
  (CCF-B Rank, H5-index=86, DOI: 10.1109/ICASSP.2019.8682891).
  [BibTeX] [EndNote]

• [ICME]  AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning,
  J. Guo and S. Guo.
  in Proceedings of the 20th IEEE International Conference on Multimedia and Expo (ICME '19), Shanghai, China, 2019.
  (CCF-B Rank, H5-index=30, DOI: 10.1109/ICME.2019.00021).
  [BibTeX] [EndNote]

• [BDCAT]  An improved incremental training approach for large scaled dataset based on support vector machine,
  J. Guo.
  in Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT '16), Association for Computing Machinery, New York, NY, USA, 2016.
  (EI, DOI: 10.1145/3006299.3006307).
  [BibTeX] [EndNote]

• [ARXIV]  Position-Aware Convolutional Networks for Traffic Prediction,
  S. Ma, J. Guo, S. Guo and M. Guo.
  ARXIV Technical Report.
  (DOI: arXiv:1904.06187)
  [BibTeX] [EndNote]

In Peer Review

Some recent works are NOT shown due to the "Double-Blind Policy", the list will be updated frequently

Funded / Participated Projects

• Entity Anti-fraud Prediction Combining Zero-shot Learning and Graph Neural Networks,
  Role: Principal Investigator (PI)
  Funding Source: NSFC (National Natural Science Foundation of China)-62102327, CNY300,000.00 2022.01-2024.12.

• Learning-based Anti-fraud Prevention in Financial Industry
  Role: Principal Investigator (PI)
  Funding Source: Fundamental Research Funds for the Central Universities-JBK21YJ04, 2021.

• Learning Robust Visual-semantic Mapping for Zero-shot Learning,
  Role: Principal Investigator (PI)
  Funding Source: Hong Kong Research Grants Council, HKPFS-UGC/GEN/456/08,UGC/GEN/456/5/09, HKD890,000.00, 2017-2020.

• Edge Intelligence Oriented Resource Management and Deployment Optimization
  Role: Participant.
  Funding Source: NSFC (National Natural Science Foundation of China)-61872310, CNY640,000.00 2019-2022.

• Research on Cloud Edge Collaborative Learning Architecture and Key Optimization Theory
  Role: Participant
  Funding Source: Shenzhen Science and Technology Innovation Commission, Fundamental Research Project-JCYJ20200109142008673, CNY2,500,000, 2021-2023.

• Transnational Partnership for Excellent Research and Education in Big Data and Emergency Management
  Role: Participant.
  Funding Agency: NRC (Norwegian Research Council) INTPART (International Partnerships for Excellent Education and Research) Programme, 2017-2020.

Teaching

• Instructor, Data Structure, Fall 2021.

• Teaching Assistant, B2B & B2C E-commerce and Management, Spring 2019

• Teaching Assistant, Information Systems Project Management, Fall 2018.

• Teaching Assistant, Big Data Analytics, Spring 2018.

• Teaching Assistant, Web Advertising and Web Publishing, Fall 2017.

Academic Service

Conference Organizing Committee

• Publicity Chair: The 41st International Symposium on Reliable Distributed Systems (SRDS 2022)

Conference PC Member / Reviewer

• ACM International Conference on Multimedia (ACM-MM: 2022)
• AAAI Conference on Artificial Intelligence (AAAI: 2021, 2022)
• International Conference on Machine Learning (ICML: 2022)
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR: 2022)
• Conference on Neural Information Processing Systems (NeurIPS: 2022)
• IEEE International Conference on Multimedia and Expo (ICME: 2019, 2020, 2021)
• European Conference on Computer Vision (ECCV: 2022 )
• International Joint Conference on Neural Networks (IJCNN: 2022)
• IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom: 2018)

Journal Reviewer

• Reviewer for IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
• Reviewer for IEEE Transactions on Multimedia (IEEE TMM)
• Reviewer for IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
• Reviewer for IEEE Internet of Things Journal (IEEE IoTJ)
• Reviewer for IEEE Transactions on Industrial Informatics (IEEE TII)
• Reviewer for IEEE Transactions on Emerging Topics in Computing (IEEE TETC)
• External Reviewer for ACM Transactions on Intelligent Systems and Technology (ACM TIST)

Editorial Board Member

• Progress in Human Computer Interaction (2018/06-2020/06)

Selected Honors

• Hong Kong Ph.D. Fellowship.
  Acceptance rate ~= 1.7%, 231 out of 14000, Awarded by Hong Kong Research Grants Council, March 2017.
• Ting Hsing International Scholarship.
  Acceptance rate ~= 4.2%, 85 out of 2000, Awarded by Waseda University and Ting Hsin Holding Corp., June 2013.

Sponsors

I sincerely thank these sponsors for providing financial support for my research: