Actively seeking a full time research/applied scientist position. Feel free to reach me if you find a match.

Research Interests

• Applied Machine Learning, Deep Learning
• Graphs/Networks, Recommendation, Natural Language Processing, Time Series

Publications (Google Scholar)

2019

• Heterogeneous Graph Neural Network
  C. Zhang, D. Song, C. Huang, A. Swami, N. Chawla
  KDD 2019

• Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
  C. Huang, X. Wu, X. Zhang, C. Zhang, J. Zhao, D. Yin, N. Chawla
  KDD 2019

• Deep Dynamic Fusion Network for Traffic Accident Forecasting
  C. Huang, X. Wu, C. Zhang, P. Dai, L. Bo, N. Chawla
  CIKM 2019

• MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting
  C. Huang, C. Zhang, J. Zhao, X. Wu, D. Yin, N. Chawla
  WWW 2019, Best Paper Candidate

• SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks
  C. Zhang, A. Swami, N. Chawla
  WSDM 2019
  [code] [slides]

• A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
  C. Zhang, D. Song, Y. Chen, X. Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, N. Chawla
  AAAI 2019, NEC Labs 2018 intern work (patent in application)
  [code upon request][slides] [poster]

• Multi-order Attentive Ranking Model for Sequential Recommendation
  L. Yu, C. Zhang, S. Liang, X. Zhang
  AAAI 2019

2018

• Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
  C. Zhang, L. Yu, X. Zhang, N. Chawla
  IJCAI 2018
  [code] [slides]

• Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
  C. Zhang, C. Huang, L. Yu, X. Zhang, N. Chawla
  WWW 2018
  [code] [slides]

• WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation
  L. Yu, C. Zhang, S. Pei, G. Sun, X. Zhang
  AAAI 2018

2017

• Collaborative User Network Embedding for Social Recommender Systems
  C. Zhang, L. Yu, Y. Wang, C. Shah and X. Zhang
  SDM 2017
  [code] [slides] [poster]

Industry Experiences

• Microsoft Research AI
  Research Intern, 2019 Summer
  Topic: Task Intelligence, Recommendation

• NEC Labs America
  Research Intern, 2018 Summer
  Topic: Anomaly Detection, Time Series

Professional Services

• Program Committee: AAAI, CIKM, ICDM, etc.
• Reviewer: TKDE, TNNLS, etc.