News

Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo, ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning, In Proc. of IJCAI-24, accepted, 2024.

Publications (see all)

. PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception. Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

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. Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. IEEE Transactions on Mobile Computing (TMC), 2024.

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. On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, 2024.

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. Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. IEEE Transactions on Mobile Computing (TMC), 2023.

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. PASS: Patch Automatic Skip Scheme for Efficient Real-time Video Perception on Edge Devices. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, USA, 2023.

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. Graph Knows Unknowns: Reformulate Zero-shot Learning as Sample-level Graph Recognition. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, USA, 2023.

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. Machine Learning on Commodity Tiny Devices: Theory and Practice. Book, CRC Press, 2022.

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. Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS-22), New Orleans, USA, 2022.

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. A Comprehensive Inspection of the Straggler Problem. The Spotlight of IEEE Transactions on Computers (TC), 2021.

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. Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. In Proceedings of the USENIX Annual Technical Conference (ATC-21), Virtual Event, 2021.

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. On-device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet of Things Journal, 2021.

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. Petrel: Heterogeneity-aware Distributed Deep Learning via Hybrid Synchronization. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020.

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. Canary: Decentralized Distributed Deep Learning via Gradient Sketch and Partition in Multi-interface Networks. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020.

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. Dual-view Attention Networks for Single Image Super-Resolution. In Proceedings of the 28th ACM International Conference on Multimedia (MM-20), Seattle, USA, 2020.

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. Falcon: Addressing Stragglers in Heterogeneous Parameter Server via Multiple Parallelism. IEEE Transactions on Computers (TC), 2020.

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. Petrel: Community-aware Synchronous Parallel for Heterogeneous Parameter Server. In Proceedings of the IEEE 40th International Conference on Distributed Computing Systems (ICDCS), Singapore, 2020.

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. Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks. IEEE Transactions on Computers (TC), 2019.

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. Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. In Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS), Dallas, USA, 2019.

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. Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey. IEEE Communications Surveys & Tutorials, 2018.

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. Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks. The 32nd International Parallel & Distributed Processing Symposium (IPDPS), Vancouver, Canada, 2018.

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. Promoting Security and Efficiency in D2D Underlay Communication: A Bargaining Game Approach. IEEE Global Communications Conference, incorporating the Global Internet Symposium (GLOBECOM), 2017.

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Teaching Experience

I have served as a teaching assistant at PolyU and HKUST in the following courses.

  • COMP6311 Ph.D. Course, Teaching Assistant, Advanced Data Analytics (Fall 2023), The Hong Kong University of Science and Technology
  • COMP5434 M.Sc. Course, Teaching Assistant, Big Data Computing (Spring 2023), The Hong Kong Polytechnic University
  • COMP5511 M.Sc. Course, Teaching Assistant, Artificial Intelligence Concepts (Fall 2022), The Hong Kong Polytechnic University
  • COMP5523 M.Sc. Course, Teaching Assistant, Computer Vision and Image Processing (Spring 2022), The Hong Kong Polytechnic University
  • COMP6706 Ph.D. Course, Teaching Assistant, Advanced Topics in Visual Computing (Fall 2021), The Hong Kong Polytechnic University
  • COMP6434 Ph.D. Course, Teaching Assistant, Big Data Analytics and Artificial Intelligence (Spring 2021), The Hong Kong Polytechnic University
  • COMP2011 Undergraduate Course, Teaching Assistant, Data Structures (Fall 2020), The Hong Kong Polytechnic University
  • COMP1001 Undergraduate Course, Teaching Assistant, Computational Thinking and Problem Solving (Fall 2019), The Hong Kong Polytechnic University

Community Services

I have served as the reviewer in the following conferences and journals.

Conferences:

  • Annual Conference on Neural Information Processing Systems (NeurIPS) [2022, 2023, 2024]
  • International Conference on Learning Representations (ICLR) [2023, 2024]
  • International Conference on Machine Learning (ICML) [2022, 2023, 2024]
  • AAAI Conference on Artificial Intelligence (AAAI) [2023, 2024]
  • International Conference on Computer Vision (ICCV) [2023]
  • IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) [2022, 2023, 2024]
  • European Conference on Computer Vision (ECCV) [2022, 2024]
  • IEEE International Conference on Computer Communications (INFOCOM) [2022, 2023, 2024]
  • International Joint Conference on Artificial Intelligence (IJCAI) [2024]
  • IEEE International Conference on Pervasive Computing and Communications (PerCom) [2022]

Journals:

  • IEEE Transactions on Mobile Computing (TMC) [2023, 2024]
  • IEEE Internet of Things Journal (IoTJ) [2022, 2023, 2024]
  • ACM Computing Surveys (CSUR) [2024]
  • IEEE Transactions on Information Theory (TIT) [2024]
  • Journal of Parallel and Distributed Computing (JPDC) [2022]