About Me

I am currently a postdoctural researcher at Duke University, supervised by Professor. Lawrence Carin (2017-present). Before that, I received my Ph.D degree from Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University (2012-2017). My advisor is Professor. Jian Li. I received the B. Sc degree from Department of Computer Science of China University of Mining Technology (2008-2012).

My research interests mainly focused on machine learning/deep learning models, and their applications, especially time series prediction/imputation; video prediction/generation; model interpretation; traffic and healthcare tasks.

Competitions

• No.3 among 1956 teams, Travel Time Estimation Competition (In DataCastle 2017)
• No.2 among 1648 teams, Di-tech Algorithm Competition, 2016
• The Most Potential Prize, Di-tech Algorithm Competition, 2016
• Winning prize, National Information Security Competition, 2010
• The second prize, Subei Math Model Competition, 2010

Experience

• Research Intern
  • Didi Chuxing, Bigdata Lab (2015.11-2016.04)
  • Visiting scholar, Microsoft Research Asian (2017.06-2017.09).
• Teaching Assistant
  • IIIS, Tsinghua University, Mathematics for Computer Science (Lecturer: John Steinberg, Spring 2015)
  • IIIS, Tsinghua University, Comprehensive Paper Training (Lecturer: Jian Li, Fall 2014)

Skills

Python (>8 years), PyTorch (>5 years), TensorFlow (>3 years), Jave, C++

Publications

• Wasserstein Contrastive Representation Distillation, Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin, (CVPR 2021)

• Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models, Dong Wang, Yuewei Yang, Chenyang Tao, Zhe Gan, Liqun Chen, Fanjie Kong, Ricardo Henao, Lawrence Carin.

• Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging, C. Ellis Wisely1, Dong Wang, Ricardo Henao, Dilraj S. Grewal, Atalie C. Thompson, Cason B. Robbins, Stephen P. Yoon, Srinath Soundararajan, Bryce W. Polascik, James R. Burke, Andy Liu, Lawrence Carin, Sharon Fekrat. (British Journal of Ophthalmology 2020)

• Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding, Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

• On Fenchel Mini-Max Learning, Chenyang Tao, …, Dong Wang, …, Lawrence Carin (ICML 2019)

• BRITS: Bidirectional Recurrent Imputation for Time Series, Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li (NIPS 2018)

• LMVP: Video Predictor with Leaked Motion Information, Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carrin (NIPS 2019)(workshop)

• When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks, Dong Wang, Juanbo Zhang, Wei Cao, Yu Zheng, Jian Li (AAAI 2018)(PDF)(Poster)(Slides)

• DeepSD: Supply-Demand Prediction for Online Car-hailing Services using Deep Neural Networks, Dong Wang, Wei Cao, Jian Li, Jieping Ye. In International Conference on Data Engineering (ICDE 2017). (PDF) (Slides)

• Automatic User Identification Method across Heterogeneous Mobility Data Souces. Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu. In International Conference on Data Engineering (ICDE 2016). (PDF)(Slides)

• ETCPS: An Effective and Scalable Traffic Condition Prediction System, Dong Wang, Wei Cao, Mengwen Xu and Jian Li The 21st International Conference on Database Systems for Advanced Applications (DASFAA 2016) (PDF)(Slides)

• DESTPREE: A Data-Driven Approach to Destination Prediction, Mengwen Xu, Dong Wang, Jian Li. In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016). (PDF) (Slides)

• Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding, Dhanasekar Sundararaman, …, Dong Wang, Lawrence Carin (2019)

• Deep learning algorithm for diagnosis of Alzheimer’s disease using multimodal retinal imaging, CE Wisely, Dong Wang, Ricardo Henao, Dilraj S Grewal, …, Lawrence Carin, Sharon Fekrat (2019)

Talks and Slides

• Learning Algorithms over Massive Spatio-Temporal Data (SHUFE 2017) (slides)
• Traffic Condition Prediction System (UT, Dallas 2016)

Scholarships

• The third prize scholarship of Tsinghua-Baidu, Tsinghua University, 2015-2016
• The third prize scholarship, Tsinghua University, 2012-2013
• The social work scholarship, Tsinghua University, 2012-2013
• The first prize scholarship, China University of Mining and Technology, for three times, 2009 - 2012

Contact

E-mail:

    dong.wang363 at duke.edu
    wangdong2090 at gmail.com