From e4cbc89524704a4a6c278acab04cc7f0596e6413 Mon Sep 17 00:00:00 2001 From: Zhuang Dingyi Date: Sat, 20 Jul 2024 14:23:26 -0400 Subject: [PATCH] Updates --- _pages/about.md | 34 ++++++++++++++++++++-------------- _pages/cv.md | 16 ++++++++++------ files/zhuang_dingyi_cv.pdf | Bin 225679 -> 189493 bytes 3 files changed, 30 insertions(+), 20 deletions(-) diff --git a/_pages/about.md b/_pages/about.md index 603d12d0f7be..485074a71986 100644 --- a/_pages/about.md +++ b/_pages/about.md @@ -7,17 +7,22 @@ redirect_from: - /about/ - /about.html --- -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 McGill University, supervised by [Prof. Lijun Sun](https://lijunsun.github.io/). Before that, I obtained my Bachelor's degree in Mechanical Engineering from Shanghai Jiao Tong University and was a research assistant at National University of Singapore. 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 (dingyi@mit.edu)](mailto:dingyi@mit.edu) 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 McGill University, supervised by [Prof. Lijun Sun](https://lijunsun.github.io/). Before that, I obtained my Bachelor's degree in Mechanical Engineering from Shanghai Jiao Tong University and was a research assistant at National University of Singapore. 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 (dingyi@mit.edu)](mailto:dingyi@mit.edu) 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. @@ -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) ### 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)** @@ -62,7 +67,7 @@ using smart card data", *Transportation Research Part C: Emerging Technology*. [ * 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/) + - -Selected projects: + + +