| Flutter: Scheduling Tasks Closer to Data Across Geo-Distributed Datacenters Z Hu, B Li, J Luo Computer Communications (INFOCOM), 2016 IEEE Conference on, 2016 | 93 | 2016 |
| Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning Z Hu, J Tu, B Li 39th IEEE International Conference on Distributed Computing Systems, 2019 | 87 | 2019 |
| Time- and Cost- Efficient Task Scheduling Across Geo-Distributed Data Centers Z Hu, B Li, J Luo IEEE Transactions on Parallel and Distributed Systems, 2018 | 71 | 2018 |
| Rush: Routing and scheduling for hybrid data center networks K Han, Z Hu, J Luo, L Xiang 2015 IEEE conference on computer communications (INFOCOM), 415-423, 2015 | 58 | 2015 |
| Cracking Network Monitoring in DCNs with SDN Z Hu, J Luo Computer Communications (INFOCOM), 2015 IEEE Conference on, 2015 | 56 | 2015 |
| ATME: Accurate Traffic Matrix Estimation in both Public and Private Datacenter Networks Z Hu, Y Qiao, J Luo IEEE Transactions on Cloud Computing, 2016 | 30 | 2016 |
| Coarse-grained traffic matrix estimation for data center networks Z Hu, Y Qiao, J Luo Computer Communications, 2015 | 24 | 2015 |
| VideoPipe: Building Video Stream Processing Pipelines at the Edge M Salehe, Z Hu, S Mortazavi, T Capes, I Mohomed Middleware 2019 Industry Track, 2019 | 23 | 2019 |
| Job Scheduling without Prior Information in Big Data Processing Systems Z Hu, B Li, Z Qin, RSM Goh 37th IEEE International Conference on Distributed Computing Systems, 2017 | 23 | 2017 |
| Efficient traffic matrix estimation for data center networks Y Qiao, Z Hu, J Luo IFIP Networking Conference, 2013 (Best Paper Nominee), 1-9, 2013 | 22 | 2013 |
| DeepHome: Distributed Inference with Heterogeneous Devices in the Edge Z Hu, AB Tarakji, V Raheja, C Phillips, T Wang, I Mohomed 3rd International Workshop on Embedded and Mobile Deep Learning (EMDL19 …, 2019 | 20 | 2019 |
| FlowTime: Dynamic Scheduling of Deadline-Aware Workflows and Ad-hoc Jobs Z Hu, B Li, C Chen, X Ke 38th IEEE International Conference on Distributed Computing Systems, 2018 | 19 | 2018 |
| AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning M Shvo, Z Hu, R Toro Icarte, I Mohomed, A Jepson, S A. McIlraith The 34th Canadian Conference on Artificial Intelligence, 2021 | 10 | 2021 |
| CREATE: CoRrelation Enhanced trAffic maTrix Estimation in Data Center Networks Z Hu, Y Qiao, J Luo, P Sun, Y Wen Proc. of IFIP Networking, 2014 | 8 | 2014 |
| mmFilter: Language-Guided Video Analytics at the Edge Z Hu, N Ye, C Phillips, T Capes, I Mohomed Middleware 2020 Industry Track, 2020 | 5 | 2020 |
| Low Latency Big Data Processing without Prior Information Z Hu, B Li, Z Qin, R Siow Mong Goh Transactions on Cloud Computing, 2018 | 5 | 2018 |
| Method of live video event detection based on natural language queries, and an apparatus for the same N Ye, Z Hu, CR Phillips, II Mohomed US Patent 12,130,891, 2024 | 4 | 2024 |
| mmSampler: Efficient Frame Sampler for Multimodal Video Retrieval Z Hu, N Ye, I Mohomed Fifth Conference on Machine Learning and Systems (MLSys), 2022 | 4 | 2022 |
| Interactive Planning-based Cognitive Assistance on the Edge Z Hu, M Shvo, A Jepson, I Mohomed 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge '20), 2020 | 4 | 2020 |
| AdaCLIP: Towards Pragmatic Multimodal Video Retrieval Z Hu, Y Ning, SH Khorasgani, I Mohomed ACM Multimedia 2023 Conference, 2023 | 3 | 2023 |
Jun Luo (罗骏)IEEE Fellow, College of Computing and Data Science, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
