Jingtao Wang
Dr. Jingtao Wang is a Research Scientist and Tech Lead Manager at Google. His research interests include - large generative models, on-device machine learning, and educational technology. Before joining Google, Dr. Wang was an Assistant Professor of Computer Science at the University of Pittsburgh. He was the recipient of a Microsoft Azure for Research Award, a Google Faculty Research Award, and an ACIE Innovation in Education Award. Dr. Wang received his Ph.D. degree in Computer Science from the University of California, Berkeley.
Authored Publications
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Towards Web-based Etymological Hanzi learning
Genze Wu
Jia Xing
Julia (Wenli) Zhu
Jun Chen
Kevin Jing
Sijia Ma
Wenhui Guo
Yaolin Chen
Yingying Zhao
(2020)
Living Jiagu : Enabling Constructive Etymology for Chinese Learning
Sijia Ma
Jun Chen
Wenhui Guo
Yingying Zhao
Yaolin Chen
Kevin Jing
Julia (Wenli) Zhu
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, ACM, pp. 1-4
StrategicReading: Understanding Complex Mobile Reading Strategies via Implicit Behavior Sensing
Wei Guo
Byeong-Young Cho
Proceedings of ACM International Conference on Multimodal Interaction (ICMI 2020), ACM
Improving Hindi Decoding Skills via a Mobile Game
Adeetee Bhide
Wencan Luo
Nivita Vijay
Charles Perfetti
Adrian Maries
Sonali Nag
Reading and Writing, 2019 (2019), pp. 1-30
Towards Attentive Speed Reading on Small Screen Wearable Devices
Wei Guo
Proceedings of the 20th ACM International Conference on Multimodal Interaction, ACM, New York, NY, USA (2018)
Adaptive Review for Mobile MOOC Learning via Multimodal Physiological Signal Sensing - a Longitudinal Study
Phuong Pham
Proceedings of the 20th ACM International Conference on Multimodal Interaction, ACM, New York, NY, USA (2018)
Understanding Mobile Reading via Camera Based Gaze Tracking and Kinematic Touch Modeling
Wei Guo
Proceedings of the 20th ACM International Conference on Multimodal Interaction, ACM, New York, NY, USA (2018)
