赵莹莹

Yingying Zhao
Ph.D, Postdoctor
School of Computer Science
Fudan University
yingyingzhao@fudan.edu.cn

RESEARCH INTERESTS

Machine Learning Applications,Interactive and Pervasive Computing, Fault Diagnosis and Prognosis

EDUCATION BACKGROUND

  • Ph.D,Department of Computer Science, Tongji University, 2013

  • M. S,Department of Computer Science, Guilin University of Electronic Technology, 2004

  • B. S,Department of Computer Science,Guilin University of Electronic Technology, 1999

PUBLICATIONS

  1. Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang. “A reinforcement-learning-based energy-efficient framework for multi-task video analytics pipeline,” IEEE Transactions on Multimedia (TMM ), Accepted.

  2. Yuhu Chang, Changyang He, Yingying Zhao, Tun Lu, Ning Gu. “A high-frame-rate eye-tracking framework for mobile devices,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Accepted.

  3. Yuhu Chang, Yingying Zhao*, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang. “MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture,” in Proceedings of the ACM Interactive Mobile Wearable & Ubiquitous Technologies (IMWUT 2021), Vol. 5, No. 2, Article 56. June 2021.

  4. Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao*, Stephen M. Chu, Bo Yang*. “NeuSE: A neural snapshot ensemble method for collaborative filtering,” ACM Transactions on Knowledge Discovery from Data (TKDD 2021 ), 15(6): 102, May 2021.

  5. Yingying Zhao, Dongsheng Li, Tun Lu, Qin Lv, Ning Gu, Li Shang. “Collaborative fault detection for large-scale photovoltaic systems,” IEEE Transactions on Sustainable Energy(TSNE 2020), IEEE, pp. 2745-2754, 2020.

  6. Yingying Zhao, Qi Liu, Dongsheng Li, Dahai Kang, Qin Lv, Li Shang. “Hierarchical anomaly detection and multimodal classification in large-scale photovoltaic systems,” IEEE Transactions on Sustainable Energy (TSNE 2019), IEEE, pp. 1351-1361, July 2019.

  7. Yingying Zhao, Dongsheng Li, Qi Liu, Qin Lv, Li Shang. “Deriving customer privacy from randomly perturbed smart metering data,” in Proceedings of the 16th IEEE International Conference on Industrial Informatics (INDIN 2018), Porto, IEEE, pp. 959-965, 2018.

  8. Dongsheng Li, Yingying Zhao, Yawen Zhang, Qin Lv, Li Shang. “An algorithmic method for tampering-proof and privacy-preserving smart metering,” in Proceedings of the 16th IEEE International Conference on Industrial Informatics (INDIN 2018), Porto, IEEE, pp. 459-465, 2018.

  9. Duanfeng Gao, Yawen Zhang, Yingying Zhao, Qin Lv, Daven K Henze, Michael Hannigan, Robert Dick. “Analyzing tempo-spatial data series with graph convolutional neural network,” in 2018 AGU Fall Meeting Abstracts.

  10. Yingying Zhao, Dongsheng Li, Ao Dong, Dahai Kang, Qin Lv, Li Shang. “Fault prediction and diagnosis of wind turbine generator using SCADA data,” Energies (Energies 2017), 10(8):1210, 2017.

  11. Qi Liu, Yawen Zhang, Yingying Zhao, Duanfeng Gao, David W Gallaher, Qin Lv, Li Shang.“Automatic multi-sensor data quality checking and event detection for environmental sensing,” in 2017 AGU Fall Meeting Abstracts.

  12. Dongsheng Li, Yingying Zhao, Qi Liu, Dahai Kang, X. Liu, Li Shang. “Fault Diagnosis and Classification in Photovoltaic Systems Using SCADA Data,” in Proceedings of the 2017 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control(SDPC 2017), Shanghai, IEEE, pp. 117-122, 2017.

  13. Qi Liu, Yingying Zhao, Yawen Zhang, Dahai Kang, Qin Lv, Li Shang. “Hierarchical context-aware anomaly diagnosis in large-scale PV systems using SCADA data,” in Proceedings of the 15th IEEE International Conference on Industrial Informatics (INDIN 2017), Emden, Germany, IEEE, pp. 1025-1030, 2017.

  14. Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, Ning Gu.“An algorithm for efficient privacy-preserving item-based collaborative filtering,” Future Generation Computer Systems (FGCS 2016), 55:311-320, 2016.

  15. Yingying Zhao, Dongsheng Li, Ao Dong, Jiajia Lin, Dahai Kang, Li Shang. “Fault prognosis of wind turbine generator using SCADA data,” in Proceedings of the 2016 North American Power Symposium (NAPS 2016), Denver, IEEE, pp. 1-6, 2016.

  16. Chao Chen, Dongsheng Li, Yingying Zhao, Qin Lv, Li Shang. “WEMAREC: Accurate and scalable recommendation through weighted and ensemble matrix approximation”, in Proceedings of the 2015 ACM SIGIR Conference (SIGIR 2015), Santiago, Chile, ACM, pp.303-312, 2015.