赵莹莹


Yingying Zhao
Ph.D, Postdoctor
School of Computer Science
Fudan University
yingyingzhaoboulder@gmail.com
RESEARCH INTERESTS
Human-computer interaction (HCI), machine learning applications
EDUCATION BACKGROUND
Ph. D, Department of Computer Science, Tongji University, 2019
M. S, Department of Computer Science, Guilin University of Electronic Technology, 2007
B. S, Department of Computer Science, Guilin University of Electronic Technology, 2003
EMPLOYMENT
Postdoctoral Research Fellow, School of Computer Science, Fudan University, China, 1/2020–1/2023
Chief Data Scientist, Data Analysis and Algorithm Design Group, Concord New Energy Group Limited, 1/2019–12/2019
Visiting Scholar, Department of Computer Science, University of Colorado Boulder, USA, 9/2016–10/2018
Lecturer, Institute of Information Technology, Guilin University of Electronic Technology, China, 9/2007–7/2013
PUBLICATIONS
  1. Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, and Li Shang, “Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models,” 37th Conference on Neural Information Processing Systems (NeurIPS), December 2023. (Accepted)
  2. Xiangyao Qi, Qi Lu, Wentao Pan, Yingying Zhao, Rui Zhu, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, and Li Shang, “CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read,” ACM Interactive Mobile Wearable Ubiquitous Technologies (IMWUT), Vol. 7, No. 3, pp. 1-31, September 2023.
  3. Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, and Li Shang, “Unveiling causal attention in dogs' eyes with smart eyewear,” ACM Interactive Mobile Wearable & Ubiquitous Technologies (IMWUT), Vol. 6, No. 4, pp. 1-33, December 2022.
  4. Yutian Lu, Bo Wang, Yingying Zhao, Xiaochen Yang, Lizhe Li, Mingzhi Dong, Qin Lv, Fujian Zhou, Ning Gu, and Li Shang, “Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning,” Energy, Vol. 253, pp. 124-139, August 2022.
  5. Yingying Zhao, Yuhu Chang, Yutian Lu, Mingzhi Dong, Yujiang Wang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, and Li Shang, “Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices,” ACM Interactive Mobile Wearable Ubiquitous Technologies (IMWUT), Vol. 6, No. 1, pp. 1-29, March 2022.
  6. Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, and Li Shang, “A reinforcement-learning-based energy-efficient framework for multi-task video analytics pipeline,” IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 2150-2163, April 2021.
  7. Yuhu Chang, Changyang He, Yingying Zhao, Tun Lu, and 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), pp. 1445-1449, 2021.
  8. Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, and 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), Vol. 5, No. 2, pp. 1-23, June 2021.
  9. Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, and Bo Yang*, “NeuSE: A neural snapshot ensemble method for collaborative filtering,” ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15, No. 102, pp. 1-20, May 2021.
  10. Yingying Zhao, Dongsheng Li, Tun Lu, Qin Lv, Ning Gu, and Li Shang, “Collaborative fault detection for large-scale photovoltaic systems,” IEEE Transactions on Sustainable Energy (TSNE), Vol. 11, No. 4, pp. 2745-2754, October 2020.
  11. Yingying Zhao, Qi Liu, Dongsheng Li, Dahai Kang, Qin Lv, and Li Shang, “Hierarchical anomaly detection and multimodal classification in large-scale photovoltaic systems,” IEEE Transactions on Sustainable Energy (TSNE), pp. 1351-1361, July 2019.
  12. Yingying Zhao, Dongsheng Li, Qi Liu, Qin Lv, and Li Shang, “Deriving customer privacy from randomly perturbed smart metering data,” in Proceedings of the 16 th IEEE International Conference on Industrial Informatics (INDIN), pp. 959-965, 2018.
  13. Dongsheng Li, Yingying Zhao, Yawen Zhang, Qin Lv, and Li Shang, “An algorithmic method for tampering-proof and privacy-preserving smart metering,” in Proceedings of the 16 th IEEE International Conference on Industrial Informatics (INDIN), pp. 459-465, 2018.
  14. Duanfeng Gao, Yawen Zhang, Yingying Zhao, Qin Lv, Daven K Henze, Michael Hannigan, and Robert Dick, “Analyzing tempo-spatial data series with graph convolutional neural network,” in 2018 AGU Fall Meeting Abstracts, Vol. 2018, pp. H31H-2005, 2018.
  15. Yingying Zhao, Dongsheng Li, Ao Dong, Dahai Kang, Qin Lv, and Li Shang, “Fault prediction and diagnosis of wind turbine generator using SCADA data,” Energies, Vol. 10, No. 8, pp. 1210, 2017.
  16. Qi Liu, Yawen Zhang, Yingying Zhao, Duanfeng Gao, David W Gallaher, Qin Lv, and Li Shang, “Automatic multi-sensor data quality checking and event detection for environmental sensing,” in 2017 AGU Fall Meeting Abstracts. Vol. 2017, pp. IN31A-0057, 2017.
  17. Dongsheng Li, Yingying Zhao, Qi Liu, Dahai Kang, X. Liu, and Li Shang, “Fault Diagnosis and Classification in Photovoltaic Systems Using SCADA Data,” in Proceeding s of the 2017 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), pp. 117-122, 2017.
  18. Qi Liu, Yingying Zhao, Yawen Zhang, Dahai Kang, Qin Lv, and Li Shang, “Hierarchical context-aware anomaly diagnosis in large-scale PV systems using SCADA data,” in Proceeding s of the 15 th IEEE International Conference on Industrial Informatics (INDIN), pp. 1025-1030, 2017.
  19. Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, and Ning Gu, “An algorithm for efficient privacy-preserving item-based collaborative filtering,” Future Generation Computer Systems (FGCS), Vol. 55, pp. 311-320, 2016.
  20. Yingying Zhao, Dongsheng Li, Ao Dong, Jiajia Lin, Dahai Kang, and Li Shang, “Fault prognosis of wind turbine generator using SCADA data,” in Proceedings of the 2016 North American Power Symposium (NAPS), pp. 1-6, 2016.
  21. Chao Chen, Dongsheng Li, Yingying Zhao, Qin Lv, and Li Shang, “WEMAREC: Accurate and scalable recommendation through weighted and ensemble matrix approximation,” in Proceedings of the 2015 ACM SIGIR Conference (SIGIR), pp. 303-312, August 2015.