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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. Capacity estimation of retired lithium-ion batteries using random charging segments from massive real-world data. [Paper][Dataset/Code]
    Cell Reports Physical Science (CRPS),2025.
    Pengfei Zhou, Junli Liang, Yunlong Liu, Ji Wu, Qi Song, Xiangyang Li

  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. 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

  4. 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

  5. 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

  6. 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

  7. 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 - DASFAA'24,AAAI'23/24,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. 2023 ACM China Council Hefei Chapter Rising Star
  2. NSF Student Travel Award for SIGMOD 2019
  3. NSF Student Travel Award for ICDE 2019
  4. SIGIR Student Travel Award for CIKM 2017
  5. NSF Student Travel Award for ICDM 2016
  6. NSF student travel support to NSF Graduate Data Science Workshop 2016, Seattle
  7. NSF student travel support to NSF Graduate Data Science Workshop 2015, Seattle
  8. EDBT student travel grant for EDBT summer school 2015, Palamos Spain
  9. MediaTek Inc. - Beihang Univ. Science and Technology Award 2014