| 研究成果簡介 ：
| 發表論文
[1] Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Hae Young Noh, Lin Zhang, and Pei Zhang. HAP: Fine-grained dynamic air pollution map reconstruction by hybrid adaptive particle filter. In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM, pages 336–337. ACM, 2016.
[2] Xinlei Chen, Xiangxiang Xu, Xinyu Liu, Shijia Pan, Jiayou He, Hae Young Noh, Lin Zhang, and Pei Zhang. PGA: Physics guided and adaptive approach for mobile fine-grained air pollution estimation. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pages 1321–1330. ACM, 2018.
[3] Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, and Gregory W Wornell. An information theoretic interpretation to deep neural networks. arXiv preprint arXiv:1905.06600, 2019.
[4] Lu Li, Yang Li, Xiangxiang Xu, and Lin Zhang. A maximal correlation embedding method for multilabel human context recognition. In Proceedings of the 18th International Conference on Information Processing in Sensor Networks, pages 305–306. ACM, 2019.
[5] Xinyu Liu, Xinlei Chen, Xiangxiang Xu, Enhan Mai, Hae Young Noh, Pei Zhang, and Lin Zhang. Delay effect in mobile sensing system for urban air pollution monitoring. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, page 73. ACM, 2017.
[6] Xinyu Liu, Xiangxiang Xu, Xinlei Chen, Enhan Mai, Hae Young Noh, Pei Zhang, and Lin Zhang. Individualized calibration of industrial-grade gas sensors in air quality sensing system. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, page 74. ACM, 2017.
[7] Rui Ma, Xiangxiang Xu, Hae Young Noh, Pei Zhang, and Lin Zhang. Generative model based fine-grained air pollution inference for mobile sensing systems. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, pages 426–427. ACM, 2018.
[8] Rui Ma, Xiangxiang Xu, Yue Wang, Hae Young Noh, Pei Zhang, and Lin Zhang. Guiding the data learning process with physical model in air pollution inference. In 2018 IEEE International Conference on Big Data (Big Data), pages 4475–4483. IEEE, 2018.
[9] Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, and Junzhou Huang. An efficient approach to informative feature extraction from multimodal data. arXiv preprint arXiv:1811.08979, 2018.
[10] Xiangxiang Xu, Xinlei Chen, Xinyu Liu, Hae Young Noh, Pei Zhang, and Lin Zhang. Gotcha II: Deployment of a vehicle-based environmental sensing system. In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM, pages 376–377. ACM, 2016.
[11] Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, and Lin Zhang. The geometric structure of generalized softmax learning. In 2018 IEEE Information Theory Workshop (ITW), pages 1–5. IEEE, 2018.
[12] Xiangxiang Xu, Pei Zhang, and Lin Zhang. Gotcha: a mobile urban sensing system. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, pages 316– 317. ACM, 2014.
[13] Tianyu Yang, Xiangxiang Xu, Qinglai Guo, Lin Zhang, and Hongbin Sun. Ev charging behaviour analysis and modelling based on mobile crowdsensing data. IET Generation, Transmission & Distribution, 11(7):1683–1691, 2017.
獎項
第 14 屆 、16屆 ACM Sensys 最佳海報提名獎
IEEE PES 優秀學生論文獎(2016 年度)
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