|
瞿佳 博士、讲师 |
常州大学 计算机与人工智能学院 阿里云大数据学院 软件学院
江苏常州 213164 | |
E-MAIL:qj199232@cczu.edu.cn
|
教育背景: |
2017.09 - 2020.07 中国矿业大学 控制理论与控制工程 (博士) 2014.09 - 2017.07 安徽师范大学 生物数学 (硕士) 2010.09 - 2014.06 淮北师范大学 数学与应用数学 (学士) |
工作履历: |
2020.09--至今 常州大学 计算机与人工智能学院 阿里云大数据学院 软件学院 |
主授课程: |
模式识别与机器学习 离散数学 |
研究领域: |
主要研究工作集中在开发和利用复杂网络、机器学习、图论、组合数学等方法对于复杂疾病、非编码RNA方面的多个重要问题进行探索和研究，并取得一系列重要进展。研究方向包括microRNA与疾病关系预测、 药物小分子与microRNA关系预测、微生物与疾病关系预测。这些研究方向是近年来数学、计算机科学和生命科学等诸多领域交叉研究的前沿和热点，具有很重要的理论意义和实际指导意义。 |
奖励与荣誉: |
[1]. 陈兴，瞿佳，赵岩，王纯纯，基于人工智能方法的 microRNA 关联预测研究，江苏省高等学校科学技术研究成果奖，江苏省教育厅，二等奖，2021 [2]. 陈兴，王磊，瞿佳，基于归纳矩阵填充预测疾病与 miRNA 关联，徐州市自然科学优秀学术论文二等奖，徐州市人民政府，2020
|
学术成果: |
Ø 教材论著 |
|
Ø 发表论文 |
[1] Ze-kang Bian*, Qi-dong Dai, Jia Qu, Te Zhang, Zhi-bin Jiang, Jie Zhou, Zhao-hong Deng, Shi-tong Wang*, Fuzzy Ensemble Clustering Method via Learning Enhanced Fuzzy Connective Matrices. IEEE. Transactions on Fuzzy Systems. 2026, Accept. [2] Ze-kang Bian, Jia Qu, Zhao-hong Deng, Shi-tong Wang, One-Step Fuzzy Ensemble-Clustering Method via Embedding Ground-Truth Cluster Number Graphs. IEEE. Transactions on Fuzzy Systems. 2025, 33(9): 3225-3239. (共同一作) [3] Jia. Qu, Qi-dong Dai, Ze-kang Bian*, Jie Zhou, Zhi-bin Jiang*. Ensemble Clustering Method via Robust Consensus Learning. Electronics. 2025, 3; 14(23): 4764. [4] Ze-Kang Bian, Lin-biao Yu, Jia Qu, Zhao-hong Deng, Shi-Tong Wang*. An ensemble clustering method via learning the CA matrix with fuzzy neighbors. Information Fusion. 2025, 120, 103105. [5] Ze-Kang Bian, Jia Qu, Jie Zhou, Zhi-Bin Jiang, Shi-Tong Wang*. Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix. Information Fusion. 2024, 103, 102099. [6] Jia Qu*, Qing-Nuo Li, Zi-Hao Song, Jin-Cheng Zhao, Qing-Gang Bu, Ze-Kang Bian, Wan-Ling Xie. Microbe Drug Association Prediction with Bernoulli Random Forests. Journal of computational biology 2025, 32, 11, 1074-1089. [7] Zihao Song, Qing-nuo Li, Jin-cheng Zhao, Qing-gang Bu, Ze-kang Bian, Jia Qu*. Prediction of microbe-drug associations using a CNN-Bernoulli random forest model, Peer J, 2025, 13:e19637. [8] Jia Qu*, Jie Ni, Tong-Guang Ni, Ze-Kang Bian and Jiu-Zheng Lian. Prediction of Human Microbe-Drug Association Based on Layer Attention Graph Convolutional Network. Current Medicinal Chemistry, 2024. 31, 31, 5097-5109. [9] Jia Qu, Shu-ting Liu, Han Li, Jie Zhou, Ze-kang Bian, Zi-hao Song, Zhi-bin Jiang*. Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction. PeerJ computer science. 2024, 10:e2070. [10] Jia Qu, Zi-hao Song, Xiao-long Cheng, Zhi-bin Jiang, Jie Zhou*. A new integrated framework for the identification of potential virus-drug associations. Frontiers in microbiology. 2023; 14:1179414. [11] Jia Qu, Zi-hao Song, Xiao-long Cheng, Zhi-bin Jiang and Jie Zhou*, Neighborhood-based inference and restricted Boltzmann machine for small molecule-miRNA associations prediction. PeerJ, 2023, 11:e15889. [12] Xiaolong Cheng, Jia Qu*, Shuang-bao Song and Ze-kang Bian. Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction. PeerJ, 2022, 10, e13848. [13] Jia Qu, Xing Chen*, Jun Yin, Yan Zhao, Zheng-Wei Li. Prediction of potential miRNA-Disease associations using matrix decomposition and label propagation. Knowledge-Based Systems. 2019, 186: 104963. [14] Jia Qu, Xing Chen*, Ya-Zhou Sun, Yan Zhao, Shu-Bin Cai, Zhong Ming*, Zhu-Hong You*, Jian-Qiang Li. In Silico Prediction of Small Molecule-miRNA Associations Based on the HeteSim Algorithm. Molecular Therapy-Nucleic Acids. 2019, 14: 274-286. [15] Jia Qu, Xing Chen*, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming. Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. Journal of Cheminformatics. 2018, 10: 30. [16] Jia Qu, Yan Zhao*, Jun Yin. Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation. Frontiers in Microbiology. 2019, 10: 291. [17] Jia Qu*, Chun-Chun Wang, Shu-Bin Cai, Wen-Di Zhao, Xiao-Long Cheng and Zhong Ming*. Biased Random Walk with Restart on Multilayer Heterogeneous Networks for MiRNA-Disease Association Prediction. Frontiers in Genetics. 2021,12: 720327. [18] Jia Qu, Yan Zhao, Li Zhang, Chunchun Wang*.Computational Models for Self-Interacting Proteins Prediction. Protein & Peptide Letters. 2020, 27(5): 392-399. [19] Bin-Sheng He, Jia Qu*, Min Chen*. Prediction of potential disease-associated microRNAs by composite network based inference. Scientific Reports. 2018, 8(1): 15813. [20] Bin-Sheng He, Jia Qu*, Qi Zhao*. Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization. Frontiers in Genetics. 2018, 9: 303. |
Ø 专利成果 |
|
研究项目: |
1. 国家自然科学基金重点项目，11931008，基于图与组合优化的生物数据和网络数据挖掘算法研究，2020.01-2024.12，270万，结题，参加 2. 国家自然科学基金面上项目，61972399，基于多源数据融合的药物响应和药物相关非编码RNA靶点预测研究，2020.01-2023.12，60万，结题，参加 3. 国家自然科学基金面上项目，61772531，多视角识别长非编码RNA和人类复杂疾病关联预测研究，16万，结题，参加 4. 江苏省高等学校自然科学研究面上项目，21KJB520030，基于矩阵分解整合标签传播算法的微生物-药物关联预测，2021.10-2023.09，20万，结题，主持。
|
