Weida Zhong

Selected Publications

• MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation [Paper]
  Weida Zhong, Qiuling Suo, Abhishek Gupta, Xiaowei Jia, Chunming Qiao, and Lu Su
  In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2021.

• Heterogeneous Spatio-Temporal Graph ConvolutionNetwork for Traffic Forecasting with Missing Values [Paper]
  Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, and Lu Su
  IEEE International Conference on Distributed Computing Systems (ICDCS), 2021.

• GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning
  Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, and Aidong Zhang
  IEEE International Conference on Big Data (Big Data), 2020.

• TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning [Paper]
  Qiuling Suo, Jingyuan Chou, Weida Zhong, and Aidong Zhang
  In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.

• Road Grade Estimation Using Crowd-sourced Smartphone Data [Paper]
  Abhishek Gupta, Shaohan Hu, Weida Zhong, Adel Sadek, Lu Su, and Chunming Qiao
  In Proceedings of the 19th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2020.

• Metric Learning on Healthcare Data with Incomplete Modalities [Paper] [Code]
  Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, and Aidong Zhang
  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.

• A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling [Paper]
  Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, and Lu Su
  In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2019.

• Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression [Paper]
  Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, and Aidong Zhang
  In 2018 IEEE International Conference on Data Mining (ICDM), 2018.

• Personalized Disease Prediction Using A CNN-based Similarity Learning Method [Paper]
  Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, and Jing Gao
  In 2017 IEEE International Conference onBioinformatics and Biomedicine (BIBM), 2017

• TASeT: Improving the Efficiency of Electric Taxis With Transfer-Allowed Rideshare [Paper]
  Yunfei Hou, Weida Zhong, Lu Su, Kevin Hulme, Adel W. Sadek, and Chunming Qiao
  IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9518-9528, December 2016

• Virtual Network Mapping for Reliable Multicast Services with Max-Min Fairness [Paper]
  Xiujiao Gao, Weida Zhong, Zilong Ye, Yangming Zhao, Jingyuan Fan, Xiaojun Cao, Hongfang Yu, and Chunming Qiao
  In 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, 2015

• Design Energy Efficient Translucent Optical Networks with Joint Routing and Wavelength Assignment and Mixed Regenerator Placement [Paper]
  Weida Zhong, Zuqing Zhu, Chuanqi Wan, and Farid Farahmand
  In 2012 Optical Fiber Communication Conference (OFC), paper JTh2A.46, 2012

Experiences

Working Experiences

• Software Engineer at Epic Systems Corporation, Madison, WI, 2015 - 2017
• Software Engineer Intern at Broadcom Corporation, Irvine, CA, 2015 summer

Teaching Assistant

in the Department of Computer Science and Engineering at University at Buffalo

• CSE 521: Operating Systems (Fall 2012)
• EAS 230: Computing & Numerical Methods for Engineers (Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015)

CV

My CV can be found here.