返回首页

[1]    石金晶，肖子萌，王雯萱，张师超，李学龙，面向含噪中规模量子处理器的量子机器学习，计算机学报，vol.48, No.3 （2025）.

[2]    Jinjing Shi, Wenxuan Wang, Xiaoping Lou, Shichao Zhang, Xuelong Li，Parameterized Hamiltonian Learning with Quantum Circuit, IEEE Transactions on Pattern Analysis and Machine Intelligence，Volume: 45, Issue: 5, 01 May 2023，https://ieeexplore.ieee.org/document/9872139 (2023) 6086-6095

[3]    Renxin Zhao，Jinjing Shi*, Xuelong Li，QKSAN: A Quantum Kernel Self-Attention Network, IEEE Transactions on Pattern Analysis and Machine Intelligence，Volume: 46, Issue: 12, Page(s): 10184-10195, 29 July 2024 https://ieeexplore.ieee.org/document/10613453 (2024)

[4]    Jinjing Shi, Yongze Tang，Yuhu Lu，Yanyan Feng，Ronghua Shi，Shichao Zhang*，Quantum Circuit Learning with Parameterized Boson Sampling, IEEE Transactions on Knowledge and Data Engineering, Volume: 35, Issue: 2, 01 February （2023）1965 – 1976 https://ieeexplore.ieee.org/document/9477041

[5]    Jinjing Shi, Zhenhuan Li, Wei Lai, Fangfang Li, Ronghua Shi, Yanyan Feng*, and Shichao Zhang*，Two End-to-End Quantum-inspired Deep Neural Networks for Text Classification, IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 4, pp. 4335-4345, 1 April 2023, https://ieeexplore.ieee.org/abstract/document/9627527

[6]    Jinjing Shi，Zimeng Xiao, Heyuan Shi*, Yu Jiang, Xuelong Li,QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems, ACM Transactions on Software Engineering and Methodology, Vol. 34, No. 2, Article 48. Publication date: January 2025. https://dl.acm.org/doi/10.1145/3688840

[7]    Jinjing Shi, Xuanli Lyu, Tian Chen, Shichao Zhang, Xuelong Li, Robust Quantum Federated Learning Against Colluding and Non-colluding Byzantine Attacks，IEEE Transactions on Information Forensics and Security, 10.1109/TIFS.2026.3714274，https://ieeexplore.ieee.org/document/11612922 (2026)

[8]    Qin Li, Jiajie Wu, Junyu Quan, Jinjing Shi*, Shichao Zhang^∗, Efficient Quantum Blockchain with a Consensus Mechanism QDPoS, IEEE Transactions on Information Forensics and Security, vol. 17, pp. 3264-3276, 2022, doi: 10.1109/TIFS.2022.3203316. https://ieeexplore.ieee.org/document/9872051，(2022)

[9]    Qin Li; Junyu Quan; Jinjing Shi*; Shichao Zhang; Xuelong Li，Secure Delegated Variational Quantum Algorithms [J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Volume: 43 Issue: 10 (2024). https://ieeexplore.ieee.org/document/10505905

[10] Jinjing Shi，Tian Chen; Wei Lai; Shichao Zhang; Xuelong Li，Pretrained Quantum-Inspired Deep Neural Network for Natural Language Processing，IEEE Transactions on Cybernetics，10.1109/TCYB.2024.3398692，Volume: 54, Issue: 10（2024），29 May 2024 https://ieeexplore.ieee.org/document/10540458

[11] Jinjing Shi^# , Ren-XinZhao^# , WenxuanWang, Shichao Zhang and XuelongLi，QSAN: A Near-Term Achievable Quantum Self-Attention Network，IEEE Transactions On Neural Networks And Learning Systems， Volume: 36, Issue: 8, August 2025，https://ieeexplore.ieee.org/document/10803114

[12] Jinjing Shi, Peng Du, Wenwu Zeng, Wenxuan Wang, Shaoliang Peng, Xuelong Li, QSyncFold: Quantum Neural Network for Multidimensional Sync-Discovery in Protein Folding, Briefings in Bioinformatics,  Volume 27, Issue 3, May 2026, bbag234（https://academic.oup.com/bib/article/27/3/bbag234/8698685

[13] Zimeng Xiao, Jia Liao, Jinjing Shi*, Shichao Zhang, Xuelong Li, Multimodal Quantum-inspired Network for Emotion Recognition, Expert Systems With Applications, 299 (2026) 130063 https://www.sciencedirect.com/science/article/pii/S0957417425036796?via%3Dihub

[14] Jinjing Shi，Bingjie Yuan，Yuhu Lu*，Shichao Zhang*，Xuelong Li， Quantum Option Profit and Loss Encoding for Risk Assessment，IEEE Transactions on Emerging Topics in Computational Intelligence，DOI: 10.1109/TETCI.2025.3593781 （2025）https://ieeexplore.ieee.org/document/11146869

[15] Jiaye Li#, Jinjing Shi#, Jian Zhang, Yuhu Lu, Qin Li, Chunlin Yu, Shichao Zhang, Quantum Nearest Neighbor Collaborative Filtering Algorithm for Recommendation System，ACM Transactions on Knowledge Discovery from Data, Volume 18, Issue 8, Article No.: 201, Pages 1 – 28 (2024), https://doi.org/10.1145/3674982 

[16] Jinjing Shi*, Shuhui Chen, Yuhu Lu, Yanyan Feng, Ronghua Shi, Yuguang Yang and Jian Li, An Approach to Cryptography Based on Continuous-Variable Quantum Neural Network, Scientific Reports, 10, 2107 (2020). https://doi.org/10.1038/s41598-020-58928-1

[17] Wenxuan Wang，Jinjing Shi*，Nan Guan，Shichao Zhang，Xuelong Li，QGHNN: A Quantum Graph Hamiltonian Neural Network，IEEE Transactions on Emerging Topics in Computational Intelligence，DOI: 10.1109/TETCI.2025.3604791（2025）https://ieeexplore.ieee.org/document/11153734