| ECRT: An edge computing system for real-time image-based object tracking Z Zhao, Z Jiang, N Ling, X Shuai, G Xing Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems …, 2018 | 39 | 2018 |
| Edgeml: An automl framework for real-time deep learning on the edge Z Zhao, K Wang, N Ling, G Xing Proceedings of the international conference on internet-of-things design and …, 2021 | 33 | 2021 |
| Rt-mdl: Supporting real-time mixed deep learning tasks on edge platforms N Ling, K Wang, Y He, G Xing, D Xie Proceedings of the 19th ACM conference on embedded networked sensor systems …, 2021 | 15 | 2021 |
| BlastNet: Exploiting Duo-Blocks for Cross-Processor Real-Time DNN Inference N Ling, X Huang, Z Zhao, N Guan, Z Yan, G Xing Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems 2022, 2022 | 13 | 2022 |
| Moses: Exploiting Cross-Device Transferable Features for on-Device Tensor Program Optimization Z Zhao, X Shuai, N Ling, N Guan, Z Yan, G Xing Proceedings of the 24th International Workshop on Mobile Computing Systems …, 2023 | 9* | 2023 |
| Harmony: Heterogeneous multi-modal federated learning through disentangled model training X Ouyang, Z Xie, H Fu, S Cheng, L Pan, N Ling, G Xing, J Zhou, J Huang Proceedings of the 21st Annual International Conference on Mobile Systems …, 2023 | 8 | 2023 |
| Edgefm: Leveraging foundation model for open-set learning on the edge B Yang, L He, N Ling, Z Yan, G Xing, X Shuai, X Ren, X Jiang Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems …, 2023 | 5 | 2023 |
| Aaron: Compile-time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU Z Zhao, N Ling, N Guan, G Xing Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 4 | 2022 |
| Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU Z Zhao, N Ling, N Guan, G Xing Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems …, 2023 | 3 | 2023 |
| CoEdge: A Cooperative Edge System for Distributed Real-Time Deep Learning Tasks Z Jiang, N Ling, X Huang, S Shi, C Wu, X Zhao, Z Yan, G Xing Proceedings of the 22nd International Conference on Information Processing …, 2023 | 3 | 2023 |
| Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems W Xie, T Hu, N Ling, G Xing, S Liu, N Guan arXiv preprint arXiv:2309.04806, 2023 | 2 | 2023 |
| Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving S Shi, N Ling, Z Jiang, X Huang, Y He, X Zhao, B Yang, C Bian, J Xia, ... arXiv preprint arXiv:2404.13786, 2024 | | 2024 |
| Unifying On-device Tensor Program Optimization through Large Foundation Model Z Zhao, N Ling, K Liu, N Guan, G Xing Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems …, 2023 | | 2023 |
| An Indoor Smart Traffic Dataset and Data Collection System: Dataset N Ling, Y He, N Guan, H Fu, G Xing Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | | 2022 |
| Mixed Real-Time Deep Learning on Heterogeneous Edge Platforms N Ling The Chinese University of Hong Kong (Hong Kong), 2022 | | 2022 |
Guoliang XingThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
