| A survey on LoRa networking: Research problems, current solutions, and open issues JPS Sundaram, W Du, Z Zhao IEEE Communications Surveys & Tutorials 22 (1), 371-388, 2019 | 492 | 2019 |
| Seaships: A large-scale precisely annotated dataset for ship detection Z Shao, W Wu, Z Wang, W Du, C Li IEEE transactions on multimedia 20 (10), 2593-2604, 2018 | 390 | 2018 |
| Saliency-aware convolution neural network for ship detection in surveillance video Z Shao, L Wang, Z Wang, W Du, W Wu IEEE Transactions on Circuits and Systems for Video Technology 30 (3), 781-794, 2019 | 209 | 2019 |
| Wireless Sensor Networks: Current Status and Future Trends S Khan, ASK Pathan, NA Alrajeh CRC press, 2016 | 198 | 2016 |
| OCTOPUS: Deep reinforcement learning for holistic smart building control X Ding, W Du, A Cerpa Proceedings of the 6th ACM international conference on systems for energy …, 2019 | 149 | 2019 |
| When pipelines meet fountain: Fast data dissemination in wireless sensor networks W Du, JC Liando, H Zhang, M Li Proceedings of the 13th ACM conference on embedded networked sensor systems …, 2015 | 111 | 2015 |
| Mb2c: Model-based deep reinforcement learning for multi-zone building control X Ding, W Du, AE Cerpa Proceedings of the 7th ACM international conference on systems for energy …, 2020 | 79 | 2020 |
| Towards energy-fairness in lora networks W Gao, W Du, Z Zhao, G Min, M Singhal 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 77 | 2019 |
| From rateless to distanceless: Enabling sparse sensor network deployment in large areas W Du, Z Li, JC Liando, M Li Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014 | 72 | 2014 |
| Optimal sensor placement and measurement of wind for water quality studies in urban reservoirs W Du, Z Xing, M Li, B He, LHC Chua, H Miao IPSN-14 Proceedings of the 13th International Symposium on Information …, 2014 | 68 | 2014 |
| Performance analysis and characterization of training deep learning models on mobile device J Liu, J Liu, W Du, D Li 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | 67 | 2019 |
| Deepapp: a deep reinforcement learning framework for mobile application usage prediction Z Shen, K Yang, W Du, X Zhao, J Zou Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 153-165, 2019 | 67 | 2019 |
| Softlight: Adaptive visible light communication over screen-camera links W Du, JC Liando, M Li IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 66 | 2016 |
| Maximizing energy efficiency of period-area coverage with a UAV for wireless rechargeable sensor networks C Lin, S Hao, W Yang, P Wang, L Wang, G Wu, Q Zhang IEEE/ACM Transactions on Networking 31 (4), 1657-1673, 2022 | 62* | 2022 |
| DopEnc: Acoustic-based encounter profiling using smartphones H Zhang, W Du, P Zhou, M Li, P Mohapatra Proceedings of the 22nd Annual International Conference on Mobile Computing …, 2016 | 60 | 2016 |
| Performance evaluation of IEEE 802.15. 4 sensor networks in industrial applications W Du, D Navarro, F Mieyeville International Journal of Communication Systems 28 (10), 1657-1674, 2015 | 58 | 2015 |
| Modeling energy consumption of wireless sensor networks by systemc W Du, F Mieyeville, D Navarro 2010 fifth international conference on systems and networks communications …, 2010 | 56 | 2010 |
| Towards a taxonomy of simulation tools for wireless sensor networks W Du, D Navarro, F Mieyeville, F Gaffiot Proceedings of the 3rd International ICST Conference on Simulation Tools and …, 2010 | 52 | 2010 |
| Continuous, real-time object detection on mobile devices without offloading M Liu, X Ding, W Du 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 50 | 2020 |
| DMM: Fast map matching for cellular data Z Shen, W Du, X Zhao, J Zou Proceedings of the 26th annual international conference on mobile computing …, 2020 | 46 | 2020 |
Xianzhong DingLawrence Berkeley National LaboratoryVerified email at lbl.gov
