陶希
  • 发布时间:2023-11-23
  • 作者:光明实验室
  • 浏览:2729次

陶希

副研究员

学习&工作经历:

2009.09—2013.06 西安交通大学电气工程学院工学学士学位

2013.09—2016.06 西安交通大学电气工程学院电气工程硕士学位

2016.09—2020.05 加拿大新布伦瑞克大学计算机科学学院计算机科学博士学位

2020.02—2021.07 加拿大蒙特利尔大学计算机科学与运筹学学院博士后

2021.08—2023.07 华为技术有限公司华为云计算博士后

2023.07至今 人工智能与数字经济广东省实验室(深圳)副研究员 (智能推荐和智能调度团队)


邮箱:taoxi@gml.ac.cn


研究领域:云计算、边缘计算、物联网


代表性成果:

1. Xi Tao, and Abdelhakim Senhaji Hafid, “ChainSensing: A Novel Mobile Crowdsensing Framework with Blockchain”, IEEE Internet of Things Journal, vol. 9, no. 4, pp. 2999-3010, 2022.

2. Xi Tao, and Abdelhakim Senhaji Hafid, “DeepSensing: A Novel Mobile Crowdsensing Framework with Double Deep Q-Network and Prioritized Experience Replay”, IEEE Internet of Things Journal, vol. 7, no. 12, pp. 11547-11558, 2020.

3. Xi Tao, and Wei Song, “Profit-oriented task allocation for mobile crowdsensing with worker dynamics: Cooperative offline solution and predictive online solution”, IEEE Transactions on Mobile Computing, vol. 20, no. 8, pp. 2637-2653, 2020.

4. Xi Tao, and Wei Song, “Location-dependent task allocation for mobile crowdsensing with clustering effect”, IEEE Internet of Things Journal, vol. 6, no. 1, pp. 1029-1045, 2019.


发表论文论著:

1. Xi Tao, and Abdelhakim Senhaji Hafid, “ChainSensing: A Novel Mobile Crowdsensing Framework with Blockchain”, IEEE Internet of Things Journal, vol. 9, no. 4, pp. 2999-3010, 2022.

2. Xi Tao, and Abdelhakim Senhaji Hafid, “Trajectory Design in UAV-Aided Mobile Crowdsensing: A Deep Reinforcement Learning Approach”, 2021 IEEE International Conference on Communications (ICC), 2021.

3. Xi Tao, and Abdelhakim Senhaji Hafid, “DeepSensing: A Novel Mobile Crowdsensing Framework with Double Deep Q-Network and Prioritized Experience Replay”, IEEE Internet of Things Journal, vol. 7, no. 12, pp. 11547-11558, 2020.

4. Xi Tao, and Wei Song, “Task Allocation of Mobile Crowdsensing with Deep Reinforcement Learning”, in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), 2020.

5. Xi Tao, and Wei Song, “Profit-oriented task allocation for mobile crowdsensing with worker dynamics: Cooperative offline solution and predictive online solution”, IEEE Transactions on Mobile Computing, vol. 20, no. 8, pp. 2637-2653, 2020.

6. Xi Tao, and Wei Song, “A truthful location-protected mobile crowdsensing framework with user mobility”, in Proceedings of IEEE International Conference on Communications (ICC), 2019.

7. Xi Tao, and Wei Song, “Location-dependent task allocation for mobile crowdsensing with clustering effect”, IEEE Internet of Things Journal, vol. 6, no. 1, pp. 1029-1045, 2019.

8. Xi Tao, and Wei Song, “Efficient path planning and truthful incentive mechanism design for mobile crowdsensing”, Sensors, vol. 18, no. 12, pp. 4408, 2018.

9. Xi Tao, and Wei Song, “Efficient task allocation for mobile crowd sensing based on evolutionary computing”, in Proceedings of IEEE International Conference on Green Computing and Communications, 2018.

10. Wei Song, and Xi Tao, “Analysis of a location-aware probabilistic strategy for opportunistic vehicle-to-vehicle relay”, in Proceedings of IEEE Vehicular Technology Conference (VTC-Fall), 2017.

11. Jianguo Xie, Wei Song, and Xi Tao, “A study of multicast message allocation for content distribution with device-to-device communications”, in Proceedings of IEEE Vehicular Technology Conference (VTC-Fall), 2017.