Prof. ZHOU Zimu (周子慕)

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls

Liu, S., Zhou, W., Zhou, Z., Guo, B., Wang, M., Fang, C., Lin, Z., & 1 othersYu, Z., Jun 2024, AdaAIoTSys '24: Proceedings of the 2024 Workshop on Adaptive AIoT Systems. Association for Computing Machinery, Inc, p. 1-6 (AdaAIoTSys - Proceedings of the AdaAIoTSys - Workshop on Adaptive AIoT Systems).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Pantheon: Preemptible Multi-DNN Inference on Mobile Edge GPUs

Han, L., Zhou, Z. & Li, Z., Jun 2024, MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services. Association for Computing Machinery, p. 465-478 14 p.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING

Shi, D., Tong, Y., Zhou, Z., Xu, K., Wang, Z. & Ye, J., May 2024, 12th International Conference on Learning Representations, ICLR 2024. International Conference on Learning Representations, ICLR, 19 p. (International Conference on Learning Representations, ICLR).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Message from the Program Chairs: ICPADS 2023

Calhoun, J., Zhou, Z. & Wang, X., Dec 2023, Proceedings - 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS 2023). Institute of Electrical and Electronics Engineers, Inc., p. lxv (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS).

Research output: Chapters, Conference Papers, Creative and Literary Works › Foreword/preface/postscript

MoEnlight: Energy-efficient and self-Adaptive Low-light Video Stream Enhancement on Mobile Devices

Liu, S., Li, X., Zhou, Z., Guo, B., Xu, Y. & Yu, Z., Jul 2023, Proceedings of ACM Turing Award Celebration Conference, CHINA 2023. Association for Computing Machinery (ACM), p. 19-20 (Proceedings of ACM Turing Award Celebration Conference, CHINA).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Approximate k-Nearest Neighbor Query over Spatial Data Federation

Zhang, K., Tong, Y., Shi, Y., Zeng, Y., Xu, Y., Chen, L., Zhou, Z., & 3 othersXu, K., Lv, W. & Zheng, Z., 2023, Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Proceedings. Wang, X., Sapino, M. L., Han, W., El Abbadi, A., Dobbie, G., Feng, Z., Shao, Y. & Yin, H. (eds.). Springer, Cham, p. 351-368 (Lecture Notes in Computer Science; vol. 13943).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 3

Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework

Shi, D., Zhou, N., Tong, Y., Zhou, Z., Xu, Y. & Xu, K., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. Institute of Electrical and Electronics Engineers, Inc., p. 869-881 (Proceedings - International Conference on Data Engineering).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 1

Distribution-Regularized Federated Learning on Non-IID Data

Wang, Y., Tong, Y., Zhou, Z., Zhang, R., Pan, S. J., Fan, L. & Yang, Q., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering (ICDE 2023). Institute of Electrical and Electronics Engineers, Inc., p. 2113-2125 (Proceedings - International Conference on Data Engineering; vol. 2023-April).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 10

DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization

Zhang, W., Zhou, Z., Wang, Y. & Tong, Y., 2023, KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3396-3408 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 2

Localised Adaptive Spatial-Temporal Graph Neural Network

Duan, W., He, X., Zhou, Z., Thiele, L. & Rao, H., 2023, KDD ’23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 448-458 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 2