I am a Research Assistant Professor with Department of Computing, The Hong Kong Polytechnic University, where I also received my Ph.D. degree in Dec. 2020. Prior to that, I received my M.Eng. degree (2015) from Waseda University, Japan, and B.Eng. degree (2013) from Sichuan University, China, all in Computer Science. From 2021 to 2022, I was an Associate Professor with School of Computing and Artificial Intelligence, SWUFE, China, and from 2019 to 2020, I was a Visiting Ph.D./Researcher with University of Sydney, Australia. Before diving into academia, I used to be a management consultant and banker after Waseda (“Life is about trial and experience until you find your destiny”).

I am interested in Artificial Intelligence in "Edges", with the ultimate goal of building Generalized Intelligent Paradigms that learn from Limited Resources in terms of Data, Computing Capability, or Both (namely "Low-Shot Edge AI" we defined), and some of their derivative Applications that are beneficial from theory to practice. Our topics include zero/few-shot learning, federated/distributed learning, model compression, representation learning, and deployment/training of foundation models on edges. Our works are published in prestigious venues in artificial intelligence and its interdisciplinary areas, including AAAI, CVPR, IJCAI, ICLR, ACM-MM, USENIX-ATC, ICME, ICASSP, ICDCS, TNNLS, TPAMI, TMM, TC, NN, etc. As the Principal Investigator (PI), I have secured several external grants like General Research Fund (GRF) from the Hong Kong RGC, Young Scientists Fund from the NSFC, and Fundamental Research Funds for the Central Universities. If you are interested in any of these topics, please feel free to e-mail me!

I am currently serving as Associate Editor for IEEE Open Journal of the Computer Society (IEEE OJ-CS) and Guest Editor for IEEE Transactions on Computational Social Systems (IEEE TCSS). I have served as Publicity Chair for SRDS 2022 and Track Chair for VTC 2024 Fall, and have served as Area Chair and/or Session Chair for prestigious conferences like ICML, ACM-MM, ICME, and VTC. I also regularly serve as PC Member and/or Reviewer for AAAI, CVPR, NeurIPS, ACM-MM, ICML, ICCV, ICME, ICASSP, ECCV, etc., and Reviewer for a series of IEEE transactions and journals like TNNLS, TMM, TMC, TKDE, TSUSC, JSAC, IoT-J, etc. I am a Panel Reviewer for the Young Scientists Fund of the National Natural Science Foundation of China (NSFC). I am a member of IEEE and CCF. I was the recipient of the Hong Kong PhD Fellowship Scheme (HKPFS) supported by Hong Kong RGC in 2017 (with gratefulness 💝).

🎓 Academic Qualifications

• 2017-2020: Ph.D., The Hong Kong Polytechnic University (香港理工大学), Hong Kong🇭🇰 (Supervisor: Prof. Song Guo)
• 2019-2020: Visiting Ph.D./Researcher, The University of Sydney (悉尼大学), Australia🇦🇺 (Supervisor: Prof. Dacheng Tao)
• 2013-2015: M.E., Waseda University (早稻田大学), Japan🇯🇵 (Supervisor: Prof. Takayuki Furuzuki)
• 2009-2013: B.E., Sichuan University (四川大学), China🇨🇳

🔥 News

• 🎉🎉 We have some fully funded openings for PhD Student, Postdoctoral Researcher, and Research Assistant to work and have fun together on multiple research projects. Drop me an email (jc-jingcai.guo@polyu.edu.hk) with your complete CV if you are interested. Candidates with strong programming and mathematics backgrounds are preferred. Visiting Students/Researchers (onsite/remote) are also welcome!
• 2024.03:   [Survey] We have a broad & systematic review of fine-grained zero-shot learning. The preprint (Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects) and associated Repository have been released.
• 2024.03:   [Conference] Serve as Track Chair for VTC2024-Fall.
• 2024.01:   [Supervision] Congratulations to Zhijie Rao for being granted the Ph.D. offer from PolyU.
• 2024.01:   [Conference] Serve as Area Chair for ICML 2024.
• 2024.01:   [Conference] Serve as Area Chair for ACM-MM 2024.
• 2023.12:   [Supervision] Congratulations to Miaoge Li and Yang Chen for being granted the Ph.D. offer from PolyU.
• 2023.12:   [Editorship] Serve as Associate Editor for IEEE Open Journal of the Computer Society (IEEE OJ-CS).
• 2023.10:   [Conference] Serve as Session Chair for VTC 2023.
• 2023.09:   [Editorship] Serve as Guest Editor for IEEE Transactions on Computational Social Systems (IEEE TCSS) (Special Issue on Few-shot/Zero-shot Learning for Knowledge Discovery in Social Networks).
• 2023.07:   [Project] One General Research Fund (GRF) has been granted by Research Grants Council (RGC) of Hong Kong.
• 2022.07:   [Conference] Serve as Session Chair for ICME 2022.
• 2022.03:   [Panel Review] Serve as Panel Reviewer for the Young Scientists Fund of National Natural Science Foundation of China (NSFC).
• 2022.03:   [Conference] Serve as Publicity Chair for SRDS 2022.
• 2021.10:   [Project] One project has been granted by Fundamental Research Funds for the Central Universities.
• 2021.10:   [Project] One NSFC Young Scientists Fund has been granted by National Natural Science Foundation of China (NSFC).

🌏 Team

I am fortunate to supervise and work together with these gifted students/staffs:

Current Members

• Miaoge Li (Xidian University), Incoming Ph.D. Student (May 2024-), Chief Supervisor.
• Yang Chen (UESTC), Incoming Ph.D. Student (Sept 2024-), Chief Supervisor.
• Zhijie Rao (Xiamen University), Research Assistant (Sept 2023-May 2024) & Incoming Ph.D. Student (May 2024-), Chief Supervisor.
• Junyang Chen (Assistant Professor at Shenzhen University), Visiting Scholar (Mar 2024-), Chief Supervisor.

Alumni

• Jingming Liang (HUST), Research Assistant (Sept 2023-Mar 2024), Chief Supervisor [Placement: Ph.D. Student at University of Iowa, USA.].

💰 Grants

• [PI]: Empowering TinyML with Low-shot Learning for Edge AI Systems,
  Funding source: General Research Fund (GRF) of the Research Grants Council of Hong Kong, No.152211/23E, 2024-2026.

• [PI]: Entity Anti-fraud Prediction Combining Zero-Shot Learning and Graph Neural Networks,
  Funding source: Young Scientists Fund of the National Natural Science Foundation of China (NSFC), No.62102327, 2022-2024.

• [PI]: Learning-Based Anti-Fraud Prevention in Financial Industry,
  Funding source: Fundamental Research Funds for the Central Universities, No.JBK21YJ04, 2021-2021.

📚 Selected Publications

Selected Papers

[ Remarks: #- Corresponding Author(s) ]

Learning from Limited Data

• ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning,
  J. Guo^#, Q. Zhou, X. Lu, R. Li, Z. Liu, J. Zhang, B. Han, J. Chen, X. Xie, S. Guo,
  International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2024.

• Dual Expert Distillation Network for Generalized Zero-Shot Learning,
  Z. Rao, J. Guo^#, X. Lu, J. Liang, J. Zhang, H. Wang, K. Wei, X. Cao,
  International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2024.

• On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks,
  Q. Zhou, J. Guo^#, S. Guo, R. Li, J. Zhang, B. Wang, Z. Xu,
  AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2024.

• ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning,
  F. Huo, W. Xu, S. Guo, J. Guo^#, H. Wang, Z. Liu, X. Lu,
  AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2024.

• Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement,
  F. Huo, W. Xu, J. Guo, H. Wang, Y. Fan,
  AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2024.

• Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition,
  J. Guo, S. Guo, Q. Zhou, Z. Liu, X. Lu, F. Huo,
  AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2023.

• (ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning,
  Z. Liu, S. Guo, X. Lu, J. Guo^#, J. Zhang, Y. Zeng, F. Huo,
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2023.

• Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning,
  X. Lu, S. Guo, Z. Liu, J. Guo^#,
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2023.

• Towards Unbiased Multi-Label Zero-Shot Learning with Pyramid and Semantic Attention,
  Z. Liu, S. Guo, J. Guo^#, Y. Xu, F. Huo,
  IEEE Transactions on Multimedia (TMM, JCR-Q1), 2022.

• A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion,
  J. Guo, S. Guo,
  IEEE Transactions on Multimedia (TMM, JCR-Q1), 2020.

• Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition,
  J. Guo, S. Guo,
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP, CCF-B/Core-B), 2019.

• AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-Shot Learning,
  J. Guo, S. Guo,
  IEEE International Conference on Multimedia and Expo (ICME, CCF-B/Core-A), 2019.

• An improved incremental training approach for large scaled dataset based on support vector machine,
  J. Guo,
  IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2016.

Learning with Limited Computing Capability

• DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning,
  S. Bai, J. Zhang, S. Guo, S. Li, J. Guo, J. Hou, T. Han, and X. Lu,
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2024.

• Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients,
  X. Tang, S. Guo, J. Zhang, and J. Guo,
  International Conference on Learning Representations (ICLR, CCF-A/Core-A*), 2024.

• PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception,
  Q. Zhou, S. Guo, J. Pan, J. Liang, J. Guo^#, Z. Xu, J. Zhou,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, JCR-Q1), 2024, To appear.

• Towards performance-maximizing neural network pruning via global channel attention,
  Y. Wang, S. Guo, J. Guo, J. Zhang, W. Zhang, C. Yan, Y. Zhang,
  Neural Networks (NN, JCR-Q1), 2023.

• Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning,
  J. Zhang, S. Guo, J. Guo^#, D. Zeng, J. Zhou, A. Zomaya,
  IEEE Transactions on Computers (TC, CCF-A), 2023.

• Hwamei: A Learning-Based Aggregation Framework for Hierarchical Federated Learning System,
  T. Qi, Y. Zhan, P. Li, J. Guo, Y. Xia,
  IEEE International Conference on Distributed Computing Systems (ICDCS, CCF-B/Core-A), 2023.

• Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models,
  Y. Wang, J. Guo, J. Zhang, S. Guo, W. Zhang, Q. Zheng,
  International Joint Conference on Neural Networks (IJCNN, Core-B), 2023.

• Personalized Federated Learning with Contextualized Generalization,
  X. Tang, S. Guo, J. Guo^#,
  International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2022.

• 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, J. Zhou,
  USENIX Annual Technical Conference (USENIX-ATC, CCF-A/Core-A*), 2021.

• 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, R. Akerkar,
  IEEE Internet of Things Journal (IoT-J, JCR-Q1), 2021.

Application

• Multi-modal Dual-embedding Networks for Malware Open-set Recognition,
  J. Guo, H. Wang, Y. Xu, W. Xu, Y. Zhan, Y. Sun, and S. Guo,
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS, JCR-Q1), 2024.

• C$^2$KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation,
  F. Huo, W. Xu, J. Guo, H. Wang, and Song Guo,
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2024.

• UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection,
  F. Huo, Z. Liu, J. Guo^#, W. Xu, S. Guo,
  Neural Networks (NN, JCR-Q1), 2023.

• Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario,
  J. Guo, S. Guo, S. Ma, Y. Sun, Y. Xu,
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS, JCR-Q1), 2021.
  (Outstanding Paper Award of GDCA)

• Dual-View Attention Networks for Single Image Super-Resolution,
  J. Guo, S. Ma, J. Zhang, Q. Zhou, S. Guo,
  ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2020.

• EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach,
  J. Guo, S. Guo,
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP, CCF-B/Core-B), 2019.

Selected Books/Chapters

• Application: Image-Based Visual Perception,
  J. Guo, and Z. Liu,
  Machine Learning on Commodity Tiny Devices, CRC Press (ISBN 9781003340225), 2022.

🧑🏻‍🏫 Teachings

• Internet Infrastructure and Protocols (Syllabus), PolyU, Spring 2024.
• Data Structures and Database Systems (Syllabus), PolyU, Spring 2023.
• Data Structures (Syllabus), SWUFE, Fall 2021.

👔 Services

Conference Service

• Track Chair: The 100th IEEE Vehicular Technology Conference (VTC 2024 Fall)
• Area Chair: The 41st International Conference on Machine Learning (ICML 2024)
• Area Chair: The 32nd ACM International Conference on Multimedia (ACM-MM 2024)
• Session Chair: The 98th IEEE Vehicular Technology Conference (VTC 2023 Fall)
• Publicity Chair: The 41st IEEE International Symposium on Reliable Distributed Systems (SRDS 2022)
• Session Chair: The 23th IEEE International Conference on Multimedia and Expo (ICME 2022)

Journal Editorship

• Associate Editor: IEEE Open Journal of the Computer Society (IEEE OJ-CS, 2023-)
• Guest Editor: IEEE Transactions on Computational Social Systems (IEEE TCSS, 2023-)

Conference PC Member/Reviewer

• AAAI Conference on Artificial Intelligence (AAAI: 2021 / 2022 / 2023 / 2024)
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR: 2022 / 2023 / 2024)
• Conference on Neural Information Processing Systems (NeurIPS: 2022 / 2023)
• International Conference on Computer Vision (ICCV: 2023)
• International Conference on Learning Representations (ICLR: 2023)
• ACM International Conference on Multimedia (ACM-MM: 2022)
• International Conference on Machine Learning (ICML: 2022)
• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP: 2023 / 2024)
• European Conference on Computer Vision (ECCV: 2022 / 2024)
• IEEE International Conference on Multimedia and Expo (ICME: 2019 / 2020 / 2021)
• International Joint Conference on Neural Networks (IJCNN: 2022 / 2023 / 2024)
• IEEE Conference on Artificial Intelligence (CAI: 2024)
• IEEE International Conference on Big Data Intelligence and Computing (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 Transactions on Mobile Computing (IEEE TMC)
• Reviewer for IEEE Journal on Selected Areas in Communications (IEEE JSAC)
• Reviewer for IEEE Internet of Things Journal (IEEE IoTJ)
• Reviewer for IEEE Transactions on Computational Social Systems (IEEE TCSS)
• Reviewer for IEEE Transactions on Sustainable Computing (IEEE TSUSC)
• Reviewer for IEEE Transactions on Industrial Informatics (IEEE TII)
• Reviewer for IEEE Transactions on Emerging Topics in Computing (IEEE TETC)
• Reviewer for ACM Computing Surveys (ACM CSUR)

🎖 Selected Honors

• Hong Kong Ph.D. Fellowship (2017),
  Funding source: Hong Kong Research Grants Council (acceptance rate ~= 1.7%, 231 out of 14000).

• Ting Hsing International Scholarship (2013),
  Funding source: Waseda University and Ting Hsin Holding Corp. (acceptance rate ~= 4.2%, 85 out of 2000).

💗 Sponsors

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