论文情况
[1] Qiongdan Lou, Wu Sun, Zhaohong Deng, Kup-Sze Choi, Shitong Wang. “Rules based heterogeneous feature transfer learning using fuzzy inference.” IEEE Transactions on Fuzzy Systems, vol. 32, no. 1, pp. 306-321, 2024. (中科院1区)
[2] Qiongdan Lou, Zhaohong Deng, Zhiyong Xiao, Kup-Sze Choi, Shitong Wang. “Multi-label Takagi-Sugeno-Kang fuzzy system.” IEEE Transactions on Fuzzy Systems, vol. 30, no. 9, pp. 3410-3425, 2021. (中科院1区)
[3] Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Shitong Wang. “A robust multilabel method integrating rule-based transparent model, soft label correlation learning and label noise resistance.” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 1, pp. 454-473, 2024. (中科院2区)
[4] Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Hongbin Shen, Jun Wang, Shitong Wang. “Robust multi-label relief feature selection based on fuzzy margin co-optimization.” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 2, pp. 387-398, 2022. (中科院2区)
[5] Qiongdan Lou, Zhaohong Deng, Guanjin Wang, Kup-Sze Choi. “Reliability learning for interval type-2 TSK fuzzy logic system with its application to medical diagnosis.” In Proc. 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 43-50, 2019.
[6] Zhen Zhang, Zhaohong Deng, Ruibo Li, Wei Zhang, Qiongdan Lou, Kup-Sze Choi, Shitong Wang. “HGLA: biomolecular interaction prediction based on mixed high-order graph convolution with filter network via LSTM and channel attention.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024, DOI: 10.1109/TCBB.2024.3434399. (中科院3区)
[7] Zhongyu Wang, Zhaohong Deng, Wei Zhang, Qiongdan Lou, Kup-Sze Choi, Zhisheng Wei, Lei Wang, Jing Wu. “MMSMAPlus: a multi-view multi-scale multi-attention embedding model for protein function prediction.” Briefings in Bioinformatics, vol. 24, no. 4, pp. bbad201, 2023. (中科院2区)
[8] Wei Zhang, Zhaohong Deng, Qiongdan Lou, Te Zhang, Kup-Sze Choi, Shitong Wang. “Takagi-Sugeno-Kang fuzzy system towards label-scarce incomplete multi-view data classification.” Information Sciences, vol. 647, p. 119466, 2023. (中科院1区)
[9] Zhaohong Deng, Ling Liang, Hongtan Yang, Wei Zhang, Qiongdan Lou, Kup-Sze Choi, Te Zhang, Jin Zhou, Shitong Wang. “Enhanced multi-view fuzzy clustering using double visible-hidden view cooperation and network LASSO constraint.” IEEE Transactions on Fuzzy Systems, vol. 30, no. 11, pp. 4965-4979, 2022. (中科院1区)
[10] Zhaohong Deng, Ya Cao, Qiongdan Lou, Kup-Sze Choi, Shitong Wang. “Monotonic relation-constrained Takagi-Sugeno-Kang fuzzy system.” Information Sciences, vol. 582, pp. 243-257, 2022. (中科院1区)
[11] Yingzhong Shi, Andong Li, Zhaohong Deng, Qisheng Yan, Qiongdan Lou, Haoran Chen, Kup-Sze Choi, Shitong Wang. “Double-coupling learning for multi-task data stream classification.” Information Sciences, vol. 613, pp. 494-506, 2022. (中科院1区)
[12] 孙武, 邓赵红, 娄琼丹, 顾鑫, 王士同. 基于模糊规则学习的无监督异构领域自适应[J]. 计算机科学与探索, 2022, 16(2):10. (CSCD)
专利情况
[1] 基于模糊建模和多标记学习的自闭症谱系障碍诊断方法, 发明人: 邓赵红, 娄琼丹, 胡曙东, 王士同; 申请号: 2023103305621.
[2] 一种面向长尾分布的模糊多标记分类方法, 发明人: 娄琼丹, 邓赵红, 王泉, 阚希; 申请号: 2024112086242.
项目经历
[1] 面向不确定性场景RBP识别的可解释多模态多标签模糊系统及其验证研究, 国家自然科学基金 (青年科学基金项目), 经费: 30万, 主持.
[2] 面向不确定性场景多功能酶预测的可解释多模态多标记模糊系统建模方法及其验证研究, 江苏省基础研究计划自然科学基金 (青年基金项目), 经费: 20万, 主持.
[3] 面向大规模场景RBP识别的可解释多模态多标记模糊系统, 2024年度江苏省高等学校基础科学 (自然科学)研究面上项目, 经费: 3万, 主持.
[4] 发酵食品安全评估的智能建模与多目标优化, 科技部国家重点研发计划政府间国际科技创新合作项目, 经费: 300万, 参与.
[5] Data-Driven Intelligence towards Early Diagnosis and Treatment for Children with Autism Spectrum Disorder (1-ZE1V), The Project of Strategic Importance of the Hong Kong Polytechnic University (香港理工大学重大项目), 经费: 200万 (港币), 参与.
[6] 面向食品安全微生物预测的异构关联模糊系统建模关键技术及实证, 国家自然科学基金面上项目, 经费: 64万, 参与.
[7] 酶功能预测驱动的图结构数据和向量数据兼容学习模糊系统及实证, 国家自然科学基金面上项目, 经费: 57万, 参与.
[8] 江苏省“六大人才高峰”高层次人才项目, 经费: 8万, 参与.
[9] 面向老年人慢病智能诊断的可解释人工智能建模理论和方法, 复旦大学计算神经科学与类脑智能教育部重点实验室开放课题, 经费: 3万, 参与.
学术服务
[1] IEEE Transactions on Fuzzy Systems审稿人 (中科院1区)
[2] Information Sciences 审稿人 (中科院1区)
[3] NeuroComputing 审稿人 (中科院2区)
教学获奖
[1] 无锡学院第二届青年教师教学竞赛一等奖, 校级（参赛课程: 操作系统）
