Posts by Collection

portfolio

publications

Recent Publications

  1. Yuxuan Du*, Xinbiao Wang*, Naixu Guo*, Zhan Yu*, Yang Qian*, Kaining Zhang*, Min-Hsiu Hsieh, Patrick Rebentrost, Dacheng Tao, “Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers”, arXiv:2502.01146, Feb 2025.  
  2. Kehuan Linghu*, Yang Qian*, Ruixia Wang, Meng-Jun Hu, Zhiyuan Li, Xuegang Li, Huikai Xu, Jingning Zhang, Teng Ma, Peng Zhao, Dong E Liu, Min-Hsiu Hsieh, Xingyao Wu, Yuxuan Du, Dacheng Tao, Yirong Jin, Haifeng Yu, “Quantum circuit architecture search on a superconducting processor”, Entropy, Nov 2024.  
  3. Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao, “MG-Net: Learn to Customize QAOA with Circuit Depth Awareness,” In 38th Conference on Neural Information Processing Systems (NeurIPS 2024), Sep 2024.    
  4. Yang Qian, Yuxuan Du, Zhenliang He, Min-Hsiu Hsieh, Dacheng Tao, “Multimodal Deep Representation Learning for Quantum Cross-Platform Verification,” Physical Review Letters, Aug 2024.    
  5. Yang Qian, Yuxuan Du, Dacheng Tao, “Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction,” Quantum Machine Intelligence, Jun 2024.  
  6. Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao, “The dilemma of quantum neural networks,” IEEE Transactions on Neural Networks and Learning Systems, Oct 2022.  
  7. Yuxuan Du, Yang Qian, Xingyao Wu, Dacheng Tao, “A distributed learning scheme for variational quantum algorithms”, IEEE Transactions on Quantum Engineering, May 2022.  
  8. Kehuan Linghu, Yang Qian, Ruixia Wang, Meng-Jun Hu, Zhiyuan Li, Xuegang Li, Huikai Xu, Jingning Zhang, Teng Ma, Peng Zhao, Dong E Liu, Min-Hsiu Hsieh, Xingyao Wu, Yuxuan Du, Dacheng Tao, Yirong Jin, Haifeng Yu, “Quantum circuit architecture search on a superconducting processor”, arXiv:2201.00934, Jan 2022.    
  9. Qiang Meng, Xiaqing Xu, Xiaobo Wang, Yang Qian, Yunxiao Qin, Zezheng Wang, Chenxu Zhao, Feng Zhou, Zhen Lei, “PoseFace: Pose-invariant features and pose-adaptive loss for face recognition”, arXiv:2107.11721, Jul 2021.    
  10. Yinlin Li, Yang Qian, Xu Yang, Yuren Zhang, “Activity and relationship modeling driven weakly supervised object detection”, 25th International Conference on Pattern Recognition (ICPR), Jan 2021.  
  11. Xiaoqing Li, Yang Qian, Rui Li, Xingyu Niu, Hong Qiao, “Robust form-closure grasp planning for 4-pin gripper using learning-based attractive region in environment”, Neurocomputing, Apr 2024.  
  12. Yinlin Li, Lihao Jia, Zidong Wang, Yang Qian, Hong Qiao, “Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning”, Neurocomputing, Mar 2019.  
  13. Yang Qian, Hong Qiao, Jing Xu, “Understanding deep neural network by filter sensitive area generation network”, Neural Information Processing: 25th International Conference, ICONIP 2018.  

talks

teaching

CS 432/532 - Web Science

  Catalog Description: Provides an overview of the World Wide Web and associated decentralized information structures, focusing mainly on the computing aspects of the Web: how it works, how it is used, and how it can be analyzed. Students will examine a number of topics including: web architecture, web characterization and analysis, web archiving, Web 2.0, social networks, collective intelligence, search engines, web mining, information diffusion on the web, and the Semantic Web. Prerequisites: A grade of C or better in CS 361 and CS 330. Read more

CS 625 - Data Visualization

  Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more

CS 725/825 - Information Visualization & Data Analytics

  Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more

CS 800 - Research Methods

  Catalog Description: Introduction to research methods in computer science. Topics include academic publishing, academic writing, literature reviews, responsible conduct of research, and presenting research results. Research faculty will present overviews of their research and how research is conducted in their labs. Read more

CS 725/825 - Information Visualization & Data Analytics

  Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more

CS 625 - Data Visualization

  Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more

CS 725/825 - Information Visualization & Data Analytics

Catalog Description: This course covers the theory and application of information visualization and of visual analytics, the science of combining interactive visual interfaces and information visualization techniques with automatic algorithms to support analytical reasoning through human-computer interaction. Research on visual perception, cognition, interactive visual interfaces, and visual analytics will be covered. Practical techniques for the display of complex multivariate data will be addressed. Course projects will require the development of interactive web-based interfaces to analyze and visualize real-world datasets. Prerequisite: CS 625 (Data Visualization) Read more

CS 625 - Data Visualization

  Catalog Description: This course covers the theory and application of data visualization. This includes issues in data cleaning to prepare data for visualization, theory behind mapping data to appropriate visual representations, introduction to visual analytics, and tools used for data analysis and visualization. Modern visualization software and tools will be used to analyze and visualize real-world datasets to reinforce the concepts covered in the course. Read more