image description

Qi Song

[中文主页]

I'm a (pre-tenure) professor at University of Science and Technology of China. Before joining USTC, I was an Applied Scientist at Amazon.com. I obtained my Ph.D. from the Database Group at Washington State University under the supervision of Prof. Yinghui Wu . I got my BS and MS degree from Beihang University in 2012 and 2015. My research spans the areas of Big Data, databases systems and data management, with emphasis on dynamic graphs, knowledge graph, graph query models, distributed graph processing, graph neural network and multi-model learning [PhD Thesis].
Email: qisong09(at)ustc.edu.cn

Selected Publications

[Full List] [Google Scholar]

  1. CoTel: Ontology-Neural Co-Enhanced Text Labeling. 
    ACM The Web Conference (WWW), 2023.
    Miao-Hui Song, Lan Zhang, Mu Yuan, Zichong Li, Qi Song, Yijun Liu and Guidong Zheng

  2. Fair Group Summarization with Graph Patterns. 
    IEEE International Conference on Data Engineering (ICDE), 2023.
    Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu

  3. Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling. 
    IEEE International Conference on Data Engineering (ICDE), 2023.
    Zichong Li, Lan Zhang, Mu Yuan, Miao-Hui Song, Qi Song

  4. Answering Why-Questions for Subgraph Queries. [Paper]
    IEEE Transactions on Knowledge and Data Engineering(TKDE), Vol.34 (Issue No. 10), 4636-4649, 2022.
    Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu

  5. Explaining Missing Data in Graphs: A Constraint-based Approach. [Paper][Slide]
    IEEE International Conference on Data Engineering (ICDE), 2021.
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu

  6. Repairing Entities using Star Constraints in Multirelational Graphs. [Paper][Slide]
    IEEE International Conference on Data Engineering (ICDE), 2020.
    Peng Lin, Qi Song, Yinghui Wu

  7. Answering Why-questions by Exemplars in Attributed Graphs. [Paper][Slide][Poster][Talk]
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2019.
    Mohammad Hossein Namaki, Qi Song, Yinghui Wu, Shengqi Yang

  8. Answering Why-Questions for Subgraph Queries in Multi-Attributed Graphs. [Paper][Slide][Poster]
    IEEE International Conference on Data Engineering (ICDE), 2019.
    Qi Song, Mohammad Hossein Namaki, Yinghui Wu

  9. TGNet: Learning to Rank Nodes in Temporal Graphs. [Paper][Slide]
    ACM International Conference on Information and Knowledge Management(CIKM), 2018.
    Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang and Haifeng Chen

  10. Mining Summaries for Knowledge Graph Search. [Paper]
    IEEE Transactions on Knowledge and Data Engineering(TKDE), Vol.30 (Issue No. 10), 1887-1900, 2018.
    Qi Song, Yinghui Wu, Peng Lin, Luna Xin Dong, Hui Sun

  11. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. [Paper]
    International Conference on Learning Representations(ICLR), 2018.
    Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Daeki Cho, Haifeng Chen

Services

  1. PC Member - AAAI'23,ECAI'23
  2. SPC Member - CIKM'23
  3. Conference Reviewer - VLDB, SIGMOD, ICDE, KDD, Big Data
  4. Journal Reviewer - TPAMI, TDSC, TKDE, VLDBJ, JAIR, TNNLS
  5. TWEB Distiguished Reviewer Board
  6. Topic Editor - Frontiers in Big Data

Awards

  1. NSF Student Travel Award for SIGMOD 2019
  2. NSF Student Travel Award for ICDE 2019
  3. SIGIR Student Travel Award for CIKM 2017
  4. NSF Student Travel Award for ICDM 2016
  5. NSF student travel support to NSF Graduate Data Science Workshop 2016, Seattle
  6. NSF student travel support to NSF Graduate Data Science Workshop 2015, Seattle
  7. EDBT student travel grant for EDBT summer school 2015, Palamos Spain
  8. MediaTek Inc. - Beihang Univ. Science and Technology Award 2014