Song Bian Ph.D. Student Rm 6352, UW-Madison CS Building Dept. of Computer Science The University of Wisconsin-Madison Email: songbian at cs dot wisc dot edu

Biography

I am a third-year Ph.D. student at the University of Wisconsin-Madison (UW-Madison). I am fortunate to work with Prof. Shivaram Venkataraman. Previously, I completed my M.Phil. at The Chinese University of Hong Kong, advised by Prof. Jeffrey Xu Yu, and my B.S. at Zhejiang University, advised by Prof. Yunjun Gao.

My research interests are Machine Learning Systems and Data Science

Selected Publications [Google Scholar]

               

Does Compressing Activations Help Model Parallel Training? Song Bian*, Dacheng Li*, Hongyi Wang, Eric P. Xing, Shivaram Venkataraman Proceedings of Machine Learning and Systems (MLSys), 2024. [paper][code]

Naive Bayes Classifiers over Missing Data: Decision and Poisoning Song Bian*, Xiating Ouyang*, Zhiwei Fan, Paraschos Koutris International Conference on Machine Learning (ICML), 2024. [paper][code]

DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python Jinglin Peng*, Weiyuan Wu*, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeff Rzeszotarski, Jiannan Wang Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021. [paper][code]

Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks Song Bian, Qintian Guo, Sibo Wang, Jeffrey Xu Yu Proceedings of the VLDB Endowment (PVLDB), 2020. [paper][code]

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang. ACM International Conference on Web Search and Data Mining (WSDM), 2019. [paper][code]

Manuscripts

   

Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting Chen, Song Bian, Yizhou Sun Technical Report , 2019. [paper][code]

Experience

• Data Analytics and Intelligence Lab (DAIL), Alibaba Group, USA
  May. 2022 – Aug. 2022
  
  Summer Research Intern
  Advisor: Dr. Bolin Ding
  
• Database System Lab, Simon Fraser University, CAN
  May. 2019 – Jul. 2019
  
  Summer Research Intern
  Advisor: Prof. Jiannan Wang
  
• Scalable Abalytics Institute, University of California, Los Angeles, USA
  Jul. 2018 – Sep. 2018
  
  Summer Research Intern
  Advisor: Prof. Yizhou Sun and Prof. Wei Wang
  

Service

International Conference on Machine Learning (ICML): 2024, 2023, 2022

Neural Information Processing Systems (NeurIPS): 2023, 2022

International Conference on Learning Representations (ICLR): 2024

Teaching

CS564 Database Management Systems: Design and Implementation, 2021 Fall & 2022 Spring

© Song Bian | Last updated: May 2024