| Critical sensing range for mobile heterogeneous camera sensor networks Y Hu, X Wang, X Gan IEEE INFOCOM 2014-IEEE conference on computer communications, 970-978, 2014 | 45 | 2014 |
| Data acquisition for real-time decision-making under freshness constraints S Hu, S Yao, H Jin, Y Zhao, Y Hu, X Liu, N Naghibolhosseini, S Li, ... 2015 IEEE Real-Time Systems Symposium, 185-194, 2015 | 34 | 2015 |
| Scrooge: A cost-effective deep learning inference system Y Hu, R Ghosh, R Govindan Proceedings of the ACM Symposium on Cloud Computing, 624-638, 2021 | 24 | 2021 |
| Olympian: Scheduling gpu usage in a deep neural network model serving system Y Hu, S Rallapalli, B Ko, R Govindan Proceedings of the 19th International Middleware Conference, 53-65, 2018 | 24 | 2018 |
| Rim: Offloading inference to the edge Y Hu, W Pang, X Liu, R Ghosh, B Ko, WH Lee, R Govindan Proceedings of the International Conference on Internet-of-Things Design and …, 2021 | 16 | 2021 |
| ALPS: Accurate landmark positioning at city scales Y Hu, X Liu, S Nath, R Govindan Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 12 | 2016 |
| Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network H Liu, W Li, Y Pang, R Pei, Y Hu, Y Liu, L Suo, K Li IEEE Transactions on Parallel and Distributed Systems, 2023 | 4 | 2023 |
| Critical sensing range for camera sensor networks Y Hu, S Han, X Wang, X Gan Proc. IEEE INFOCOM’14, 0 | 1 | |
| DeepLat: Achieving Minimum Worst Case Latency for DNN Inference with Batch-Aware Dispatching J Gao, Y Hu International Conference on Algorithms and Architectures for Parallel …, 2023 | | 2023 |
| High-throughput Sampling, Communicating and Training for Reinforcement Learning Systems L Zhao, X Dai, Z Zhao, Y Xin, Y Hu, J Qian, J Yao, K Li 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS), 1-10, 2023 | | 2023 |
| Full View Coverage for Camera Sensor Networks Y Hu | | |
