I am a Research Assistant Professor with Department of Computing, The Hong Kong Polytechnic University (香港理工大学), Hong Kong SAR, where I received my Ph.D. degree in early 2021. Prior to that, I received my M.Eng. degree (2015) from Waseda University (早稻田大学), Japan, and B.Eng. degree (2013) from Sichuan University (四川大学), China, all in Computer Science. From 2021 to 2022, I was an Associate Professor with School of Computing and Artificial Intelligence, SWUFE (西南财经大学), China, and from 2019 to 2020, I was a Visiting Researcher with School of Computer Science, The University of Sydney (悉尼大学), Australia.

I am generally interested in Machine Learning and Edge AI, with a particular focus on Zero/Few-shot Learning, Federated Learning, Representation Learning, and Model Compression. My ultimate goal is to build a generalized intelligent paradigm that can be learnt from limited resource in terms of both data and computing capability. I regularly serve as program committee member and/or reviewer for several conferences and journals such as AAAI, CVPR, NeurIPS, ACM-MM, ICML, ICCV, ICME, ECCV, TNNLS, TMM, TMC, TKDE, JSAC, IoT-J, etc. I am a member of IEEE and CCF. I am the recipient of RGC-HKPFS in 2017.

🔥 News

• TOP:  🎉🎉 We have several openings for 1) Research Assistant, and 2) Visiting Student to work together on multiple research projects. Drop me an email along with your updated CV if interested.
• 2023.02:   [Review] Serve as a Reviewer for ICCV 2023 and NeurIPS 2023.
• 2022.11:   [Review] Serve as a Program Committee Member for CVPR 2023 and Reviewer for ICLR 2023.
• 2022.08:   [Review] Serve as a Program Committee Member for AAAI 2023.
• 2022.07:   [Organization] Serve as a Session Chair for ICME 2022.
• 2022.04:   [Review] Serve as a Program Committee Member for ACM-MM 2022.
• 2022.03:   [Review] Serve as a Program Committee Member for NeurIPS 2022 and ECCV 2022.
• 2022.03:   [Organization] Serve as a Publicity Chair for SRDS 2022.
• 2022.01:   [Review] Serve as a Reviewer for ICML 2022.
• 2021.10:   [Project] One project has been funded by Fundamental Research Funds for the Central Universities.
• 2021.12:   [Review] Serve as a Program Committee Member for CVPR 2022.
• 2021.10:   [Project] One project has been funded by National Natural Science Foundation of China (NSFC)

📝 Publications

📚 Selected Papers

(* indicates corresponding author)

• Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition,
  J. Guo, S. Guo, Q. Zhou, Z. Liu, X. Lu, F. Huo,
  In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI, CCF-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,
  In Proceedings of the Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2023.

• Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning,
  X. Lu, S. Guo*, Z. Liu, J. Guo*,
  In Proceedings of the Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 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,
  In Proceedings of the Fouty-Third IEEE International Conference on Distributed Computing Systems (ICDCS, CCF-B), 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,
  In Proceedings of the 2023 International Joint Conference on Neural Networks (IJCNN, CCF-C), 2023.

• Personalized Federated Learning with Contextualized Generalization,
  X. Tang, S. Guo*, J. Guo*,
  In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), 2022.

• 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, 中科院1区/IF=8.182), 2022.

• 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, 中科院1区/IF=14.255), 2021.

• 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,
  In Proceedings of the 202O USENIX Annual Technical Conference (USENIX-ATC, CCF-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, 中科院1区/IF=10.238), 2021.

• Dual-View Attention Networks for Single Image Super-Resolution,
  J. Guo, S. Ma, J. Zhang, Q. Zhou, S. Guo,
  In Proceedings of the Twenty-Eighth ACM International Conference on Multimedia (ACM-MM, CCF-A), 2020.

• 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, 中科院1区/IF=8.182), 2020.

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

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

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

📖 Selected Books/Chapters

• Application: Image-Based Visual Perception,
  J. Guo, Z. Liu,
  Machine Learning on Commodity Tiny Devices, edited by S. Guo&Q. Zhou, CRC Press, 2022.

📝 Grants

• [PI]: Start-Up Fund for RAPs under the Strategic Hiring Scheme,
  Funding source: PolyU (UGC)-P0043932, 2022-2024.

• [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)-62102327, 2022-2024.

• [PI]: Learning-Based Anti-Fraud Prevention in Financial Industry,
  Funding source: Fundamental Research Funds for the Central Universities-JBK21YJ04, 2021-2021.

• [Participant]: Edge Intelligence Oriented Resource Management and Deployment Optimization,
  Funding source: National Natural Science Foundation of China (NSFC)-61872310, 2019-2022.

• [Participant]: Research on Cloud Edge Collaborative Learning Architecture and Key Optimization Theory,
  Funding source: Shenzhen Science and Technology Innovation Commission, Fundamental Research Project-JCYJ20200109142008673, 2021-2023.

• [Participant]: Transnational Partnership for Excellent Research and Education in Big Data and Emergency Management,
  Funding source: Norwegian Research Council INTPART Programme, 2017-2020.

📝 Teachings

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

📝 Services

📖 Conference Organizing Committee

• Publicity Chair: The 41st International Symposium on Reliable Distributed Systems (SRDS 2022)
• Session Chair: The 23th IEEE International Conference on Multimedia and Expo (ICME 2022)

📖 Conference PC Member/Reviewer

• AAAI Conference on Artificial Intelligence (AAAI: 2021 / 2022 / 2023)
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR: 2022 / 2023)
• 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)
• European Conference on Computer Vision (ECCV: 2022)
• IEEE International Conference on Multimedia and Expo (ICME: 2019 / 2020 / 2021)
• International Joint Conference on Neural Networks (IJCNN: 2022)
• 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 Industrial Informatics (IEEE TII)
• Reviewer for IEEE Transactions on Emerging Topics in Computing (IEEE TETC)

📖 Editorial Board Member

• Progress in Human Computer Interaction (Jun. 2018-Jun. 2020)

🎖 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: