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ZhuangDingyi committed Jul 20, 2024
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---
I am a third-year Ph.D. student at [MIT JTL Transit Lab](https://mobility.mit.edu/) supervised by [Prof. Jinhua Zhao](https://dusp.mit.edu/faculty/jinhua-zhao). I previously received my M.Eng degree at <u>McGill University</u>, supervised by [Prof. Lijun Sun](https://lijunsun.github.io/). Before that, I obtained my Bachelor's degree in Mechanical Engineering from <u>Shanghai Jiao Tong University</u> and was a research assistant at <u>National University of Singapore</u>. My supervisors at two universities are [Prof. Jiangang Jin](http://naoce.sjtu.edu.cn/en/teachershow.aspx?info_lb=24&info_id=8&flag=2) and [Prof. Lee Der-Horng](https://www.eng.nus.edu.sg/cee/staff/lee-der-horng/) respectively. Click [here](../files/zhuang_dingyi_cv.pdf) to view my up-to-date CV. If you want to know more about me, please feel free to [contact me ([email protected])](mailto:[email protected]) and schedule a 30-min short talk.
I am a fourth-year Ph.D. student at [MIT JTL Transit Lab](https://mobility.mit.edu/) supervised by [Prof. Jinhua Zhao](https://dusp.mit.edu/faculty/jinhua-zhao). I previously received my M.Eng degree at <u>McGill University</u>, supervised by [Prof. Lijun Sun](https://lijunsun.github.io/). Before that, I obtained my Bachelor's degree in Mechanical Engineering from <u>Shanghai Jiao Tong University</u> and was a research assistant at <u>National University of Singapore</u>. My supervisors at two universities are [Prof. Jiangang Jin](http://naoce.sjtu.edu.cn/en/teachershow.aspx?info_lb=24&info_id=8&flag=2) and [Prof. Lee Der-Horng](https://www.eng.nus.edu.sg/cee/staff/lee-der-horng/) respectively. Click [here](../files/zhuang_dingyi_cv.pdf) to view my up-to-date CV.

I am working at [Morgan Stanely Machine Learning team](https://www.morganstanley.com/about-us/technology/machine-learning-research-team) as a Research Associate.

If you want to know more about me, please feel free to [contact me ([email protected])](mailto:[email protected]) and schedule a 30-min short talk.


## Research Interests

* Urban computing & smart city
* Graph neural network
* Time Series
* Urban computing
* Spatiotemporal data mining
* Network science
* Bayesian probabilistic factorization models
* Graph neural network
* Time series
* Travel behavior analysis
* Reinforcement learning
* Trustworthy AI

Four particular questions I try to study and connect together:
1. **Spatiotemporal data mining**: imputation, forecasting, kriging, and dynamic kriging. Particularly applying Graph Neural Networks.
Expand All @@ -36,16 +41,16 @@ using smart card data", *Transportation Research Part C: Emerging Technology*. [

* **Dingyi Zhuang**, Jiangang Jin, Yifan Shen, Wei Jiang, "Understanding the bike sharing travel demand and cycle lane network: the case of Shanghai", *International Journal of Sustainable Transportation*. [PDF](https://zhuangdingyi.github.io/files/full-manuscript.pdf) [doi](https://www.tandfonline.com/doi/full/10.1080/15568318.2019.1699209) [description](../Projects/bikesharing/)

* Qingyi Wang, Shenhao Wang, **Dingyi Zhuang**, Haris Koutsopoulos, Jinhua Zhao, "Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks", in submission to *IEEE Transactions on Intelligent Transportation Systems*. [arixiv](https://arxiv.org/abs/2303.04040)
* Qingyi Wang, Shenhao Wang, **Dingyi Zhuang**, Haris Koutsopoulos, Jinhua Zhao, "Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks", in submission to *IEEE Transactions on Intelligent Transportation Systems*. [doi](https://ieeexplore.ieee.org/abstract/document/10462016)

* Yunhan Zheng, Qingyi Wang, **Dingyi Zhuang**, Shenhao Wang, Jinhua Zhao, "Fairness-enhancing deep learning for ride-hailing demand prediction", in submission to *Transportation Research Part C: Emerging Technologies*. [arixiv](https://arxiv.org/abs/2303.05698)
* Yunhan Zheng, Qingyi Wang, **Dingyi Zhuang**, Shenhao Wang, Jinhua Zhao, "Fairness-enhancing deep learning for ride-hailing demand prediction", *IEEE Open Journal of Intelligent Transportation Systems*. [doi](https://ieeexplore.ieee.org/abstract/document/10190147)

<!-- * Siyu Hao, **Dingyi Zhuang**, Der-Horng Lee, A spatial-temporal Deep Learning Framework for Network-wide Bus Passenger Flow prediction. *IET Intelligent Transport Systems* **(Provisionally accepted)** [PDF](https://zhuangdingyi.github.io/files/bus_flow_pred.pdf) -->



### Conference
* **Dingyi Zhuang**, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao, SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks, *NeurIPS 2023 TGL Workshop*
* **Dingyi Zhuang**, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao, SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks, *NeurIPS 2023 TGL Workshop (Best Paper Candidate)*

* Xinke Jiang*, **Dingyi Zhuang**, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao, Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction, *CIKM 2023*. **(In proceeding)**

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* Siyu Hao, **Dingyi Zhuang**, De Zhao, Der-Horng Lee, A Pseudo-3D Convolutional Neural Network based Framework for Short-term Mixed Passenger Flow Prediction in Large-scale Public Transit, *Transportation Research Board 2020*. **(Presentation)** [PDF](https://zhuangdingyi.github.io/files/pseudo3d.pdf)


## [Projects Gallery](../publications/)
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Selected projects:
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<p class="image-author">Apr. 2020 ~ Jun. 2020 @ McGill</p>
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<!-- ## News Archive
* June 6 2022. I started my internship in Chicago Transit Authority
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## CV
{% include base_path %}

[My Curriculum Vitae, updated in 2023/11/23](../files/zhuang_dingyi_cv.pdf)
[My Curriculum Vitae, updated in 2024/7/20](../files/zhuang_dingyi_cv.pdf)

## Education
* **Ph.D. in Transportation, MIT**
Sept. 2021 ~ Now
GPA: 5.0/5.0
Instructor: [Prof. Jinhua Zhao](https://dusp.mit.edu/faculty/jinhua-zhao)
Courses: 1.200 Transportation Fundation and Methods (A+), 1.205 Advanced Demand Modeling (A+), 6.336 Intro to Modeling & Simulation (A), 15.072 Advanced Analytics Edge (A), 1.202 Demand Modeling, 6.268 Network Science and Models
Thesis: Quantifying Uncertainty: Advancing Robustness, Reliability, and Fairness in AI-Driven Transportation Demand Modeling

* **M.Eng (thesis) in Civil Engineering and Applied Mechanics, McGill University**
Sept. 2019 ~ 2021
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## Teaching experience
* Teaching Assistant, [1.041/1.200 Transportation Foundation and Methodology](https://web.mit.edu/1.041/www/), Lectured by [Prof. Cathy Wu](http://www.wucathy.com/blog/), Spring 2023, MIT
* Teaching Assistant, [1.041/1.200 Transportation Foundation and Methodology](https://web.mit.edu/1.041/www/), Lectured by [Prof. Cathy Wu](http://www.wucathy.com/blog/), Spring 2024, MIT


## Work experience
* 2024.6-2024.8, Machine Learning Research Associate, [Morgan Stanley](https://www.morganstanley.com/about-us/technology/machine-learning-research-team)

* 2022.6-2022.8, Research Intern, [Chicago Transit Authority](https://www.transitchicago.com/)

* 2020.8-2020.12, Intern, [ExPretio](http://www.expretio.com/), funded by [Mitacs Accelerate](https://www.mitacs.ca/en/programs/accelerate).

* 2018.7-2018.9, research student, [Civil and Environmental Engineering](http://www.eng.nus.edu.sg/cee/) , National University of Singapore
* 2018.7-2018.9, Research Student, [Civil and Environmental Engineering](http://www.eng.nus.edu.sg/cee/) , National University of Singapore

* 2017.10-2017.11, research assistant, [Institute of Refrigeration and Cryogenic Engineering](http://www.sjtuirc.sjtu.edu.cn/CN/Default.aspx) , Shanghai Jiao Tong University
* 2017.10-2017.11, Research Assistant, [Institute of Refrigeration and Cryogenic Engineering](http://www.sjtuirc.sjtu.edu.cn/CN/Default.aspx) , Shanghai Jiao Tong University

* 2017.3-2018.6, project leader, [Chuntsung Program](http://chuntsung.sjtu.edu.cn) , Shanghai Jiao Tong University
* 2017.3-2018.6, Project Leader, [Chuntsung Program](http://chuntsung.sjtu.edu.cn) , Shanghai Jiao Tong University

* 2016.4-2017.4, key member, [Participant Research Program(PRP)](http://uitp.sjtu.edu.cn/innovation/index.html) , Shanghai Jiao Tong University
* 2016.4-2017.4, Key Member, [Participant Research Program(PRP)](http://uitp.sjtu.edu.cn/innovation/index.html) , Shanghai Jiao Tong University

* 2015.9-2016.8, research assistant, [Robotics Institute](http://www.robot.sjtu.edu.cn/English/Default.aspx) , Shanghai Jiao Tong University
* 2015.9-2016.8, Research Assistant, [Robotics Institute](http://www.robot.sjtu.edu.cn/English/Default.aspx) , Shanghai Jiao Tong University

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