Research Interest

• Data Science, Machine Learning, Deep Learning, Artificial Intelligence
• Graphs/Networks Mining, Recommendation/User Modeling
• Knowledge Bases, Natural Language Processing
• Machine Learning for Science and Interdisciplines (e.g., Chemical Synthesis)
• Time Series and Spatial-temporal Data Analysis

Publication (Google Scholar)

Tutorial

• Multi-modal Network Representation Learning: Methods and Applications (Canceled!)
  C. Zhang, M. Jiang, X. Zhang, N. Chawla
  [SDM2020] SIAM International Conference on Data Mining
  [website]

2020

• Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting
  C. Huang, X. Wu, C. Zhang, N. Chawla
  [WWW2020] The Web Conference/World Wide Web Conference

• Few-shot Knowledge Graph Completion
  C. Zhang, H. Yao, C. Huang, M. Jiang, Z. Li, N. Chawla
  [AAAI2020] AAAI Conference on Artificial Intelligence
  [code] [poster]

• Graph Few-shot Learning via Knowledge Transfer
  H. Yao, C. Zhang, Y. Wei, M. Jiang, S. Wang, J. Huang, N. Chawla, Z. Li
  [AAAI2020] AAAI Conference on Artificial Intelligence
  Short Version in NeurIPS 2019 Graph Representation Learning Workshop

• Learning from Heterogeneous Networks: Methods and Applications
  C. Zhang
  [WSDM2020] ACM International Conference on Web Search and Data Mining (Doctoral Consortium)

2019

• Heterogeneous Graph Neural Network
  C. Zhang, D. Song, C. Huang, A. Swami, N. Chawla
  [KDD2019] ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  [code] [poster] [video]

• Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
  C. Huang, X. Wu, X. Zhang, C. Zhang, J. Zhao, D. Yin, N. Chawla
  [KDD2019] ACM SIGKDD Conference on Knowledge Discovery and Data Mining

• 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
  [WWW2019] The Web Conference/World Wide Web Conference
  Best Paper Award Candidates

• Deep Dynamic Fusion Network for Traffic Accident Forecasting
  C. Huang, C. Zhang, P. Dai, L. Bo
  [CIKM2019] ACM International Conference on Information and Knowledge Management

• SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks
  C. Zhang, A. Swami, N. Chawla
  [WSDM2019] ACM International Conference on Web Search and Data Mining
  [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
  [AAAI2019] AAAI Conference on Artificial Intelligence
  [code upon request] [slides] [poster]

• Multi-order Attentive Ranking Model for Sequential Recommendation
  L. Yu, C. Zhang, S. Liang, X. Zhang
  [AAAI2019] AAAI Conference on Artificial Intelligence

2018

• Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
  C. Zhang, L. Yu, X. Zhang, N. Chawla
  [IJCAI2018] International Joint Conference on Artificial Intelligence
  [code] [slides]

• Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
  C. Zhang, C. Huang, L. Yu, X. Zhang, N. Chawla
  [WWW2018] The Web Conference/World Wide Web Conference
  [code] [slides]

• WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation
  L. Yu, C. Zhang, S. Pei, G. Sun, X. Zhang
  [AAAI2018] AAAI Conference on Artificial Intelligence

2017

• Collaborative User Network Embedding for Social Recommender Systems
  C. Zhang, L. Yu, Y. Wang, C. Shah, X. Zhang
  [SDM2017] SIAM International Conference on Data Mining
  [code] [slides] [poster]

Service

• Conference PC Member
  ICLR, KDD, AAAI, IJCAI, CIKM, ICDM, SDM, ECML/PKDD, etc.
• Journal Reviewer
  TKDE, TNNLS, DMKD, IP&M, KAIS, TBD, etc.

Teaching

• Instructor at Brandeis
  (scheduled) Advanced Topics in Graph Mining, 2020 Fall
• Guest Lecturer at Notre Dame
  Advanced Topics in Machine Learning, 2019 Fall
• Teaching Assistant at Rutgers
  Data Structures, Introduction to Computer Science, etc., 2014 Fall - 2017 Spring