Yuanqi Du

Yuanqi Du is a senior undergraduate student studying Computer Science at George Mason University. He has broad interests in machine learning and data mining. He worked on Outlier Detection, American Sign Language Recognition (Mili-meter Wave Signals & Kinect), Protein Structure Classification, Molecule Generation via Graph Neural Network and Medical Image Synthesis. He is currently working on GNN for Molecule Generation with Dr. Liang Zhao, Dr. Amarda Shehu and ASL Recognition with Dr. Parth Pathak. He joins MIRACLE Lab in Chinese Academy of Sciences, Institute of Computing Technology, working with Dr. Hu Han and Dr. Kevin Zhou for a research intern starting Aug, 2020 on medical image synthesis.

Drop me an email if you’d like to talk about/collaborate on any of the following research topics or other research areas with me. I currently live in Beijing, China, feel free to grab a coffee with me, too!

Check out my CV

Research Interests

  • American Sign Language Recognition
  • Interpretable Molecular Structure Generation
  • Controllable Molecular Structure Generation
  • Protein Structure Prediction
  • Protein Structure Generation
  • Medical Image Translation

News!

  • Paper titled “Interpretable Molecule Generation via Disentanglement Learning” accepted at ACM Conference of Bioinformatics and Computational Biology (BCB) Workshops: Computational Structural Biology Workshop (CSBW) 2020
  • Paper titled “From Interatomic Distances to Protein Tertiary Structures with a Deep Convolutional Neural Network” accepted at ACM Conference of Bioinformatics and Computational Biology (BCB) Workshops: Computational Structural Biology Workshop (CSBW) 2020

Preprints & Working Papers

  • Controlling the Generation of Molecules via Interpretable Variational Autoencoders, submitted to a major AI conferece, Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
  • Controllable Variational Autoencoders, going to submit to a major ML conference, Xiaojie Guo, Yuanqi Du, Liang Zhao
  • Deep Learning for Tertiary Structure Reconstruction at Varying Representational Detail, gointg to submit to a bioinformatics journal, Yuanqi Du, Anowarul Kabir, Liang Zhao, Amarda Shehu
  • Generative Adversarial Learning of Protein Tertiary Structures, Taseef Rahman, going to submit to a bioinformatics journal, Yuanqi Du, Amarda Shehu
  • Improving Student Academic Performance Prediction via an Upsampling Technique, Kaiyi Guan, Dom Huh, Huzefa Rangwala, Yuanqi Du*