Jiaye Li
Jiaye Li

ACADEMIC HOMEPAGE

Jiaye Li 李佳烨

Postdoctoral Researcher

State Key Laboratory of Blockchain and Data Security
Zhejiang University

Quantum Machine Learning · Artificial Intelligence · kNN · Feature Selection · Graph Learning

Email Google Scholar ORCID
20+
First / corresponding-author papers
9
IEEE / ACM Transactions papers
1
ESI Highly Cited Paper

1

Research Interests

1

Quantum Machine Learning

Quantum-enhanced classification, feature learning, and optimization.

2

Artificial Intelligence

Robust learning for complex, heterogeneous, and noisy data.

3

Nearest-Neighbor Learning

Adaptive neighborhood modeling and efficient kNN classification.

4

Feature & Graph Learning

Sparse feature selection, graph construction, and structure learning.

2

Publications

Google Scholar ↗

Ten Representative Publications

2026
1

Adaptive kNN Graph Model

Jiaye Li, Hang Xu, Shichao Zhang

Nature Communications, 17, 7491, 2026.

CAS Q1Nature CommunicationskNNGraph Learning
Paper ↗DOI ↗
2026
2

Intertwine: Nonlinear Quantum Feature Selection With Multi-Kernel Circuits

Hang Xu, Jiaye Li (corresponding author)

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 45(7), 3346–3359, 2026.

CCF AIEEE TCADQuantum MLFeature Selection
2025
3

Quantum Multi-View Feature Selection With Configurable Kernel Circuits and Adaptive Fusion

Jiaye Li, Hang Xu, Gang Chen, Shichao Zhang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025.

CCF AIEEE TCADQuantum MLMulti-View Learning
DOI ↗
2025
4

Robust Quantum Feature Selection With Sparse Optimization Circuit

Jiaye Li, Jiagang Song, Jinjing Shi, Hang Xu, Hao Yu, Gang Chen, Shichao Zhang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 44(7), 2613–2626, 2025.

CCF AIEEE TCADQuantum MLSparse Optimization
DOI ↗
2025
5

Piecewise Weighting Function for Collaborative Filtering Recommendation

Jiaye Li, Jiagang Song, Shichao Zhang

ACM Transactions on Autonomous and Adaptive Systems, 20(1), 2025.

CCF BACM TAASRecommendationCollaborative Filtering
2024
6

Quantum KNN Classification With K Value Selection and Neighbor Selection

Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(5), 1332–1345, 2024.

CCF AIEEE TCADQuantum kNNClassification
Scholar ↗
2024
7

Quantum Support Vector Machine for Classifying Noisy Data

Jiaye Li, Yangding Li, Jiagang Song, Jian Zhang, Shichao Zhang

IEEE Transactions on Computers, 73(9), 2233–2247, 2024.

CCF AIEEE TCQuantum MLNoisy Data
Scholar ↗
2024
8

Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System

Jiaye Li, Jinjing Shi, Jian Zhang, Yuhu Lu, Qin Li, Chunlin Yu, Shichao Zhang

ACM Transactions on Knowledge Discovery from Data, 18(8), 1–28, 2024.

CCF BJCR Q1ACM TKDDQuantum MLRecommendation
2023
9

KNN Classification With One-Step Computation

Shichao Zhang, Jiaye Li (corresponding author)

IEEE Transactions on Knowledge and Data Engineering, 35(3), 2711–2723, 2023.

CCF AIEEE TKDEESI Highly CitedkNN
DOI ↗
2023
10

Reachable Distance Function for KNN Classification

Shichao Zhang, Jiaye Li (corresponding author), Yangding Li (corresponding author)

IEEE Transactions on Knowledge and Data Engineering, 35(7), 7382–7396, 2023.

CCF AIEEE TKDEkNNDistance Learning

Other Publications

30 publications

* Corresponding author · # Equal contribution

Other First- and Corresponding-Author Publications

  1. 2026

    Hang Xu, Jiaye Li*, Hao Yu, Jian Zhang, and Shichao Zhang. “Noise-Tolerant Multi-View Feature Selection.” Knowledge and Information Systems, 68, 61. CCF B

  2. 2025

    Jiagang Song, Hang Xu, Jiaye Li*, and Shichao Zhang. “Demand-Driven kNN Classification.” Knowledge-Based Systems, 327, 114090. CAS Q1

  3. 2024

    Hang Xu and Jiaye Li*. “Efficient Discriminative Feature Selection With Grouping Relative Comparison.” Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 81–96.

  4. 2023

    Jiaye Li, Hang Xu, Hao Yu, Weixin Li, and Shichao Zhang*. “Anti-Noise Multi-View Feature Selection With Sample Constraints.” IEEE International Conference on Data Mining (ICDM), 259–268. CCF B

  5. 2022

    Shichao Zhang, Jiaye Li*, Wenzhen Zhang, and Yongsong Qin. “Hyper-Class Representation of Data.” Neurocomputing, 503, 200–218. JCR Q1

  6. 2022

    Jiaye Li, Hang Xu, Hao Yu*, Zhihao Jiang, and Lei Zhu. “Multi-Modal Feature Selection With Anchor Graph for Alzheimer’s Disease.” Frontiers in Neuroscience.

  7. 2022

    Jiangzhang Gan#, Jiaye Li#, and Yangcai Xie. “Robust SVM for Cost-Sensitive Learning.” Neural Processing Letters, 54(4), 2737–2758.

  8. 2020

    Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, and Jilian Zhang. “Unsupervised Nonlinear Feature Selection Algorithm via Kernel Function.” Neural Computing and Applications, 32(11), 6443–6454.

  9. 2019

    Jiaye Li#, Lin Wu#, Guoqiu Wen, and Zhi Li. “Exclusive Feature Selection and Multi-View Learning for Alzheimer’s Disease.” Journal of Visual Communication and Image Representation, 102605.

  10. 2019

    Jiaye Li, Hao Yu, Leyuan Zhang, and Guoqiu Wen. “Double Weighted K-Nearest Voting for Label Aggregation in Crowdsourcing Learning.” Multimedia Tools and Applications, 78(23), 33357–33374.

  11. 2019

    李佳烨, 张乐园, and 雷聪. “基于核函数的低秩非线性属性选择算法.” 计算机工程与设计, 40(9), 2537–2543, 2563.

  12. 2019

    李佳烨 and 余浩. “基于K近邻的众包数据分类算法.” 计算机应用研究. doi: 10.19734/j.issn.1001-3695.2018.09.0736.

  13. 2019

    李佳烨, 张乐园, 雷聪, 甘江璋, and 吕治政. “基于局部结构学习的非线性属性选择算法.” 计算机应用研究. doi: 10.19734/j.issn.1001-3695.2018.07.0524.

  14. 2018

    Jiaye Li, Xiaofeng Zhu, Jiangzhang Gan, Leyuan Zhang, Shanwen Zhang, and Shichao Zhang. “Unsupervised Feature Selection Algorithm via Local Structure Learning and Kernel Function.” 18th International Conference on Electronic Business, 721–730. Best Paper Award.

Collaborative Publications

  1. 2026

    Hao Yu, Jiaye Li, and Shichao Zhang. “Self-Paced Learning for Crowdsourcing.” Information Fusion, 104364. CAS Q1

  2. 2026

    Hao Yu, Shichao Zhang, Jiaye Li, and Chengqing Li. “Semi-Supervised Majority Voting for Crowdsourcing.” Information Fusion, 125(1), 1–15. CAS Q1

  3. 2026

    Wenzhen Zhang, Debo Cheng, Jiaye Li, and Shichao Zhang. “One-Step Negative Learning via Structured Suppression for Robust Classification With Noisy Labels.” Knowledge-Based Systems, 335, 115173. CAS Q1

  4. 2026

    Ziyue Wang, Zhiwei Ye, Gongsheng Yuan, Mengying Zhu, Jiaye Li, Guanjie Cheng, and Ling Qian. “Scalable Hybrid Quantum-Classical Optimization for the Traveling Salesman Problem.” 3rd Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, 1–2.

  5. 2025

    Wenzhen Zhang, Debo Cheng, Guangquan Lu, Bo Zhou, Jiaye Li, and Shichao Zhang. “Efficient Adaptive Label Refinement for Label Noise Learning.” Neurocomputing, 639, 130305.

  6. 2023

    Hao Yu, Chengyuan Zhang, Jiaye Li, and Shichao Zhang*. “Robust Sparse Weighted Classification for Crowdsourcing.” IEEE Transactions on Knowledge and Data Engineering. CCF A

  7. 2022

    Hao Yu, Jiaye Li, Zhaojiang Wu, Hang Xu, and Lei Zhu*. “Two-Step Learning for Crowdsourcing Data Classification.” Multimedia Tools and Applications.

  8. 2022

    Bo Zhou, Yangding Li, Xincheng Huang, and Jiaye Li. “Self-Adaptive Clustering of Dynamic Multi-Graph Learning.” Neural Processing Letters, 54(4), 2533–2548.

  9. 2021

    许航, 张师超, 吴兆江, and 李佳烨. “噪音数据的属性选择算法.” 软件学报, 32(11), 3440–3451.

  10. 2020

    Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, and Shichao Zhang. “Spectral Clustering via Half-Quadratic Optimization.” World Wide Web, 23(3), 1969–1988.

  11. 2020

    Linjun Chen, Guangquan Lu, Yangding Li, Jiaye Li, and Malong Tan. “Local Structure Preservation for Nonlinear Clustering.” Neural Processing Letters.

  12. 2019

    Pengqing Li, Xuelian Deng, Leyuan Zhang, Jiangzhang Gan, Jiaye Li, and Yonggang Li. “Sparse Learning Based on Clustering by Fast Search and Find of Density Peaks.” Multimedia Tools and Applications.

  13. 2019

    Leyuan Zhang, Yangding Li, Jilian Zhang, Pengqing Li, and Jiaye Li. “Nonlinear Sparse Feature Selection Algorithm via Low Matrix Rank Constraint.” Multimedia Tools and Applications, 78, 33319–33337.

  14. 2019

    Shanwen Zhang, Meiling Liu, Jiaye Li, and Leyuan Zhang. “An Efficient Feature Selection Algorithm Based on Kernel Function.” IEEE Symposium Series on Computational Intelligence, 2649–2655.

  15. 2019

    Linjun Chen, Guangquan Lu, Guoqiu Wen, Jiaye Li, and Malong Tan. “A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.” IEEE Symposium Series on Computational Intelligence, 2603–2607.

  16. 2019

    Leyuan Zhang, Meiling Liu, Rifeng Wang, Tingting Du, and Jiaye Li. “Multi-View Unsupervised Feature Selection With Dynamic Sample Space Structure.” IEEE Symposium Series on Computational Intelligence, 2641–2648.

3

Projects & Funding

Young Talent Development ProgramZhejiang Association for Science and Technology

Quantum-Enhanced Multi-Level Fusion Classification ModelChina Postdoctoral Science Foundation General Program, principal investigator, No. 2025M781521

Quantum-Driven Data Selection ModelNational Postdoctoral Program, Tier C, No. GZC20251062

4

Patent

Data Feature Extraction Method and Device Based on a Quantum Convolutional Neural NetworkAuthorized Chinese invention patent, CN202511038408.2

5

Awards & Honors

National Scholarship for Doctoral Students

National Scholarship for Master’s Students

Best Paper Award, 18th International Conference on Electronic Business

6

Education & Experience

Zhejiang University

Postdoctoral Researcher in Computer Science and Technology · Advisor: Prof. Gang Chen

Central South University

Ph.D. in Computer Science and Technology · Advisor: Prof. Shichao Zhang

Guangxi Normal University

M.S. in Computer Science and Technology · Advisor: Prof. Shichao Zhang

Shanxi Datong University

B.S. in Computer Science and Technology