Jinyu Yang

PhD Student (Aug 2018-May 2022)

Department of Computer Science and Engineering
University of Texas at Arlington

Email: jinyu (dot) yang (at) mavs (dot) uta (dot) edu
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I am a PhD student at the computer science department, advised by Prof. Junzhou Huang from University of Texas at Arlington. I received my M.S degree (2017) and B.S degree (2015) from SDSU and Jilin University, respectively.


Graph Representation Learning, Graph Neural Networks, Adversarial Learning, Transfer Learning, Transformer and their applications in computer vision


* Indicate Equal Contribution
  1. Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang. “TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation”. (arXiv)

  2. Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang. “Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation”. In Proc. of the 18th International Conference on Computer Vision, Virtual, October 2021. (ICCV'21 Oral) (acceptance rate=3%)

  3. Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang. “Hierarchical Graph Capsule Network”. In Proc. of the 35th AAAI Conference on Artificial Intelligence, February 2021. (AAAI'21) (acceptance rate=21%)

  4. Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang. “Context-Aware Domain Adaptation in Semantic Segmentation”. IEEE Winter Conference on Applications of Computer Vision, January 2021. (WACV'21)

  5. Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang. “Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation”. In Proc. of The 16th European Conference on Computer Vision, Glasgow, United Kingdom, August 2020. (ECCV'20) (acceptance rate=26%)

  6. Chaochao Yan*, Qianggang Ding*, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang. “RetroXpert: Decompose Retrosynthesis Prediction like A Chemist”. In Proc. of the 34th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, December 2020. (NeurIPS'20 Spotlight) (acceptance rate=3%)

  7. Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang. “Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation”. ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, September 2020. (ACM-BCB'20)

  8. Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, and Junzhou Huang. "WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction", IEEE International Conference on Bioinformatics and Biomedicine, Seoul, Korea, December 2020. (BIBM'20)

  9. Jinyu Yang, Anjun Ma, Adam D. Hoppe, Cankun Wang, Yang Li, Chi Zhang, Yan Wang, Bingqiang Liu, and Qin Ma. "Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework". Nucleic Acids Research (IF=16.971) (2019) [Project Website]

  10. Jinyu Yang, Xin Chen, Adam McDermaid, Qin Ma. "DMINDA 2.0: integrated and systematic views of regulatory DNA motif identification and analyses". Bioinformatics (IF=6.937) (2017) [Project Website]

  11. Sheng-Yong Niu*, Jinyu Yang*, Adam McDermaid, Jing Zhao, Yu Kang, Qin Ma. "Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes". Briefings in Bioinformatics (IF=11.622) (2017)

  12. Bingqiang Liu, Jinyu Yang, Yang Li, Adam McDermaid, Qin Ma. "An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data". Briefings in Bioinformatics (IF=11.622) (2017)

  13. Yu Zhang*, Juan Xie*, Jinyu Yang, Anne Fennell, Chi Zhang, Qin Ma. "QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data". Bioinformatics (IF=6.937) (2017)

Working Experience

Sep 2021 - Dec 2021 Applied Scientist Intern
Visual Search & AR Team, Amazon Search
Palo Alto, CA, USA
May 2021 - Aug 2021 Research Intern
Image & Video Group, Kuaishou US R&D Center
Palo Alto, CA, USA

Review Service

Computational Biology and Chemistry
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
International Conference on Intelligent Biology and Medicine (ICIBM 2020)
Neural Information Processing Systems (NeurIPS 2021) [Outstanding Reviewer Award]
IEEE Winter Conference on Applications of Computer Vision (WACV 2022)
The International Conference on Learning Representations (ICLR 2022)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
International Conference on Machine Learning (ICML 2022)

*Last updated on Aug 2021.