Chao Zhang

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Assistant Professor
School of Computational Science and Engineering
College of Computing
Georgia Institute of Technology

Office: CODA 1309
Address: 756 W Peachtree St NW, Atlanta, GA
Email: chaozhang@gatech.edu

Research

My research interests are data mining, natural language processing, and machine learning. I aim to build label-efficient and robust intelligent systems that help people better make use of their text data for task support and decision making. Towards this goal, I and my (awesome) students are working on the following research thrusts:

  • Knowledge extraction from text: Taxonomy construction, Event extraction, Named entity recognition
  • Label-efficient learning for text data: Weakly-supervised learning, Fine-Tuning language models, Self-training
  • Robust and interactive learning: Uncertainty estimation, Learning through interactions, Model robustness

Below are some selected recent publications on these topics:

News

  • We have 1 paper accepted by ICML'20. We introduce a new method for quantifying uncertainties for neural networks based on the connection between NN and linear systems.
  • We have 4 papers accepted by KDD'20, discussing self-supervised taxonomy construction, low-resource NER, hierarchical topic mining, and tensor factorization.
  • Congrats to my student Wendi Ren for winning the Marshall D. Williamson Fellowship!
  • Honored to receive the 2020 Google Faculty Research Award!
  • Two papers accepted by the Web Conference 2020.
  • Honored to receive the ACM SIGKDD 2019 Dissertation Runner-up Award!
  • Our monograph Multidimensional Mining of Massive Text Data is published by Morgan & Claypool!

Publications

(* denotes equal contribution)

2020

  • SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
    Lingkai Kong, Jimeng Sun, Chao Zhang.
    International Conference on Machine Learning (ICML), 2020
  • STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths
    Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun and Chao Zhang.
    ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2020
  • BOND: Bert-Assisted Open-Domain Named Entity Recognition with Distant Supervision
    Chen Liang*, Yue Yu*, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao and Chao Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2020
  • LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values
    Kejing Yin, Ardavan Afshar, Joyce Ho, William Cheung, Chao Zhang and Jimeng Sun
    ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2020
  • Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
    Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang and Jiawei Han
    ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2020
  • Joint Aspect-Sentiment Analysis with Minimal User Guidance
    Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu and Jiawei Han.
    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020.
  • Discriminative Topic Mining via Category-Name Guided Text Embedding
    Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang and Jiawei Han.
    The Web Conference (WWW), 2020
  • paper2repo: GitHub Repository Recommendation for Academic Papers
    Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang and Tarek Abdelzaher.
    The Web Conference (WWW), 2020

2019

2018

2017

2016

2015

2014

Earlier

Awards

  • 2020 Google Faculty Research Award
  • 2019 ACM SIGKDD Dissertation Award Runner-up
  • 2018 ACM IMWUT Distinguished Paper Award
  • 2015 ECML/PKDD Best Student Paper Runner-up Award
  • 2013 Chiang Chen Overseas Graduate Fellowship

Teaching

Students

  • Ph.D. Students:
    • Lingkai Kong
    • Rui Feng
    • Yue Yu
    • Yinghao Li
    • Yi Rong (Visiting)
  • Master Students:
    • Rongzhi Zhang
    • Yuchen Zhuang
    • Isaac Rehg
    • Wendi Ren
    • Ruijia Wang