Qiang Gao

Ph.D. at SWUFE· qianggao@swufe.edu.cn

Qiang Gao is currently working as the lecturer at the School of Economic Information Engineering, Southwestern University of Finance and Economics (西南财经大学, SWUFE) since March 2021. Qiang Gao received the Ph.D. degree in the Software Engineering from University of Electronic Science and Technology of China (电子科技大学, UESTC), Chengdu, Sichuan, China. He was a visiting scholar at Northwestern University from 2019 to 2020.

I am looking for motivated students to join my research group.

Research Interests

Deep Learning
Machine Learning
Spatio-temporal data processing
Location-based Services (LBS)

Education

University of Electronic Science and Technology of China

Ph.D candidate, School of Information and Software Engineering
Thesis Title: Human Mobility and Social Knowledge Discovery via Deep Trajectory Learning

Supervised by Prof. Fengli Zhang and Prof. Fan Zhou

September 2016 - December 2020

Northwestern University

Visiting Scholar, Northwestern University

Supervised by Prof. Diego Klabjan and Prof. Goce Trajchevski

September 2019 - September 2020

University of Electronic Science and Technology of China

Master, School of Information and Software Engineering
Research Areas: Mobile Database Processing, Data Mining

Supervised by Prof. Fengli Zhang

September 2014 - June 2016

Selected Publications

Preprints

  • Qiang Gao, Wei Wang, Kunpeng Zhang, Xin yang and Congcong Miao. "Self-supervised Representation Learning for Trip Recommendation", (submitted for publication ), 2021,[Arxiv]
  • Qiang Gao, Zhipeng Luo, Diego Klabjan and Fengli Zhang. "Efficient architecture search for continual learning", (submitted for publication ), 2021,[Arxiv]

Journal Papers

  • Fan Zhou, Yurou Dai, Qiang Gao, Pengyu Wang, and Ting Zhong. "Self-Supervised Human Mobility Learning for Next Location Prediction and Trajectory Classification", Knowledge-Based Systems, 2021[Paper]
  • Qiang Gao, Fan Zhou*, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fengli Zhang. "Adversarial Human Trajectory Learning for Trip Recommendation", IEEE Transactions on Neural Networks and Learning Systems, 2021(Early Access )[Paper]
  • Qiang Gao, Fengli Zhang, Fuming Yao, Ailing Li, Lin Mei and Fan Zhou*. "Adversarial Mobility Learning for Human Trajectory Classification", IEEE Access, 2020[Paper]
  • 高强, 张凤荔*, 王瑞锦, & 周帆. (2017). 轨迹大数据: 数据处理关键技术研究综述. 软件学报, 28(4), 959-992. (中文CCF A类,软件学报高影响力文章)[Paper]

Conference Papers

  • Qiang Gao, Fan Zhou*, Goce Trajcevski, Fengli Zhang, Xucheng Luo. "Adversity-based Social Circles Inference via Context-Aware Mobility", 2020 IEEE Global Communications Conference[Paper]
  • Qiang Gao, Goce Trajcevski, Fan Zhou, Kunpeng Zhang, Ting Zhong, and Fengli Zhang. DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation. Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019). [Paper]
  • Qiang Gao, Fan Zhou*, Goce Trajcevski, Kunpeng Zhang, Ting Zhong and Fengli Zhang, Predicting Human mobility via Variational Attention, The World Wide Web Conference (WWW 2019). (CCF A) [Paper][Code]
  • Qiang Gao, Goce Trajcevski, Fan Zhou*, Kunpeng Zhang, Ting Zhong and Fengli Zhang, Trajectory-based Social Circle Inference, Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018).[Paper][Code]
  • Fan Zhou*, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang, Trajectory-User Linking via Variational AutoEncoder, IJCAI 2018. (CCF A)[Paper]
  • Qiang Gao, Fan Zhou*, Kunpeng Zhang, Goce Trajcevski, Xuecheng Luo, Fengli Zhang, Identifying Human Mobility via Trajectory Embeddings, IJCAI 2017.(CCF A)[Paper][Code]

Teaching

  • Python and Data Mining for Undergraduate,Fall 2021 (Scheduled)
  • Python and Data Mining for Undergraduate,Spring 2021
  • Data Mining for Postgraduate,Spring 2021

Activities & Services

Conference & Journal Organization:

  • ACM SIGSPATIAL 2021, PC Member
  • EAI CollaborateCom 2020, PC Member

Reviewing for:

  • KDD
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Systems Man Cybernetics-Systems
  • IEEE BigData
  • ACM SIGSPATIAL
  • IEEE Access

Contact

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