Qianggang Ding

Biography

I am now a third-year Master student in Department of Computer Science and Technology at Tsinghua University, graduating in 2021, advised by Prof. Shu-Tao Xia. Prior to that, I received my Bachelar degree in Department of Computer Science and Technology at Nanjing University of Aeronautics and Astronautics. I was fortunately advised by Dr. Peilin Zhao when I was an intern at Tencent AI Lab. My research interests mainly include Graph Neural Network, Time Series Analysis, and Regularization on Neural Networks.

I am now looking for PhD opportunities starting in 2021 Fall. If you are interested in me, please contact me: dqg18 at mails.tsinghua.edu.cn.

News

Publications

  1. Knowledge Refinery: Learning from Decoupled Label
    Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shu-Tao Xia
    AAAI Conference on Artificial Intelligence (AAAI), 2021

  2. RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist (Spotlight)
    Chaochao Yan*, Qianggang Ding* (* Equal Contribution), Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
    Neural Information Processing Systems (NeurIPS), 2020

  3. Adversarial Sparse Transformer for Time Series Forecasting
    Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang
    Neural Information Processing Systems (NeurIPS), 2020

  4. Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
    Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo
    International Joint Conference on Artificial Intelligence (IJCAI), 2020

  5. Multi-level Recognition on Falls from Activities of Daily Living
    Jiawei Li, Shu-Tao Xia, Qianggang Ding
    International Conference on Multimedia Retrieval (ICMR), 2020

Awards