I am currently a research assistant at Computer Network Information Center, Chinese Academy of Sciences. Before this, I worked as an algorithm engineer at Alibaba Group, responsible for Taobao’s sponsored search algorithms for about 2 years. My research interests lie in machine learning and data mining, especially in graph neural networks and its applications. And I draw a roadmap about my researches.

I obtained M.S degree in Peking University, and was fortunate to have Prof. Guojie Song as my advisor.

You can contact me via qingqinglong [at] pku.edu.cn.

Research Interests

• Data Mining, Machine Learning algorithms
• Graph representation learning, Graph Neural Networks
• Intelligent Transportation System

Honors

• Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Wei Lin. Subspace Network Embedding: A Hierarchical Community Structure Preserving Approach. CIKM2019. 【Best Paper Runner Up Award】

• Top 10 in KDD CUP 2021, OGB-LSC (PCQM4M) Track.

Recent News

[July. 2024] Invited to serve as a Program Committee Member for KDD 2025!

[Feb. 2024] Invited to serve as a Program Committee Member for ICML / MM / NeurIPS 2024!

[January 2024] Two papers accepted by WWW 2024!

[Feb. 2023] Invited to serve as a Program Committee Member for WWW / IJCAI / KDD 2024.

[March 2023] Invited to serve as a Program Committee Member for NeurIPS 2023.

[January 2023] Invited to serve as a Program Committee Member for KDD 2023 and IJCAI 2023.