Jilin Hu

Associate Professor

Jilin.jpeg

Ph.D., Department of Computer Science at Aalborg University
Selma Lagerlöfs Vej 300, 9220 Aalborg East, Denmark
hujilin [at] cs.aau.dk
+45 99048891
Google scholar | DBLP

Jilin Hu is an Associate Professor at the Department of Computer Science, Aalborg University. Prior to that, he was a tenure-track Assistant Professor at the Department of Computer Science, Aalborg University. He was a Research Assocaite at Inception Institute of Artificial Intelligence (UAE) under the supervision of Prof. Jianbing Shen. He obtained the Ph.D. degree from Aalborg Unviersity in 2019, under the supervision of Prof. Christian S. Jensen and Prof. Bin Yang. From Oct. 2017 to April. 2018, he visited University of California, Berkeley under the supervision of Prof. Alexandre Bayen.

Research interest: Spatio-Temporal Data Management, Traffic Data Analysis, Graph Neural Network

Never stop looking for highly self-motivated students.

News

Sep 22, 2022 I am elected as the Chair of Computer Society Chapter, IEEE Denmark Section!
Aug 20, 2022 One paper “Few-Shot Object Detection with Self-Supervising and Cooperative Classifier” is accepted by IEEE TNNLS!
Aug 1, 2022 I am promoted to Assocate Professor!
Jun 27, 2022 One paper is accepted by Knowledge-Based Systems!

Selected Publications

(# Corresponding Author)

  1. ICDE
    Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version
    Sean Bin Yang, Chenjuan Guo, Jilin Hu# , Bin Yang, Jian Tang, and Christian S. Jensen
    2022
  2. AAAI
    Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
    Frederik Mathiesen, Bin Yang, and Jilin Hu#
    2022
  3. IJCAI
    Unsupervised Path Representation Learning with Curriculum Negative Sampling
    Sean Bin Yang, Chenjuan Guo, Jilin Hu# , Jian Tang, and Bin Yang
    In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 2021
  4. ICDE
    Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks
    Jilin Hu , Bin Yang, Chenjuan Guo, Christian S. Jensen, and Hui Xiong
    In 36th IEEE International Conference on Data Engineering, ICDE, Dallas, TX, USA, April 20-24 2020
  5. ICDE
    Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks
    Jilin Hu , Chenjuan Guo, Bin Yang, and Christian S. Jensen
    In 35th IEEE International Conference on Data Engineering, ICDE, Macao, China, April 8-11 2019
  1. ISs
    Residual memory inference network for regression tracking with weighted gradient harmonized loss
    Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu# , and W.J. (Chris) Zhang
    Information Sciences 2022
  2. GeoInformatica
    Enabling time-dependent uncertain eco-weights for road networks
    Jilin Hu , Bin Yang, Christian S. Jensen, and Yu Ma
    GeoInformatica 2017
  3. VLDBJ
    Risk-aware path selection with time-varying, uncertain travel costs: a time series approach
    Jilin Hu , Bin Yang, Chenjuan Guo, and Christian S. Jensen
    VLDB J. 2018
  4. TNNLS
    Few-Shot Object Detection with Self-Supervising and Cooperative Classifier
    Qi Di, Jilin Hu# , and Jianbing Shen
    IEEE Transactions on Neural Networks and Learning Systems 2022

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