[1] Min Tang, Bingyu Li, Zhenbing Zeng. Computing Sparse GCD of Multivariate Polynomials via Polynomial Interpolation. Journal of Systems Science and Complexity. 2018, 31(2): 552-568. (SCI, EI)
[2] Min Tang, Zhengfeng Yang, Zhenbing Zeng. Resultant Elimination via Implicit Equation Interpolation. Journal of Systems Science and Complexity. 2016, 29(5): 1411-1435. (SCI, EI)
[3] Guoqiang Deng, Niuniu Qi, Min Tang, Xuefeng Duan. Constructing Dixon Matrix for Sparse Polynomial Equations Based on Hybrid and Heuristics Scheme. Symmetry. 2022 (SCI)
[4] Guoqiang Deng, Min Tang, Yuxing Xi, Mingwu Zhang. Privacy-Preserving Online Medical Prediagnosis Training Model Based on Soft-Margin SVM. IEEE Transactions on Services Computing. 2022 (SCI)
[5] 唐敏,张宇浩,邓国强. 高效的非交互式隐私保护逻辑回归模型. 计算机工程. 2023. (CCF C)
[6] 唐敏,戚妞妞,邓国强. 基于模算术系数解析的稀疏插值算法,计算机科学与工程. 2023 (CCF C)
[7] 戚妞妞,唐敏,邓国强. 一种基于多样化多项式的高概率稀疏插值算法. 系统科学与数学. 2021
[8] 唐敏,邓国强. 有限域上稀疏多元多项式插值算法. 计算机科学与探索, 2019, 13(2): 350-360. (CSCD)
[9] 邓国强, 唐敏*. 求解稀疏多元多项式插值问题的分治算法. 计算机科学,2019, 46(5): 298-303. (CCF B)
[10] 邓国强,唐敏*, 张永燊. 一种基于竞争策略的稀疏多元多项式插值算法. 系统科学与数学, 2018, 38(12):1436-1448.(CSCD)
[11] Min TANG, Guoqiang DENG. An Improved Algorithm for Multivariate Polynomial Interpolation. The 2nd Asia-Pacific Computer Science and Application Conference, MATEC Web of Conferences, Bangkok, Thailand, 2017, 125: 1094-1103. (EI)
[12] 唐敏, 邓国强. 求解一类凸优化问题的区间迭代算法. 计算机科学, 2015, 42(2): 247-252. (CSCD)
[13] Min TANG, Min WU, Guoqiang DENG. A Validated Method of Solving Initial Value Problem for ODEs. Computer Science and Applications, 2014 Asia-Pacific Computer Science and Application Conference, Shanghai, P.R. China, 2014, 495-500. (EI)
[14] Min TANG, Xia Zeng, Kai Song, Jian Liu. Error analysis on floating-point arithmetic in C programming language library functions. In the Fourth International Conference on Emerging Intelligent Data and Web Technologies, Xian, P.R. China, 2013, 738-742. (EI)
[15] 唐敏, 关健, 邓国强, 靳强. 二部图最大匹配问题的分层网络优化模型. 计算机工程与应用, 2012, 48(36): 90-94.(CSCD)
[16] 刘剑, 唐敏, 曾霞, 曾振柄. 初等函数可验证赋值及误差分析.计算机科学, 2015, 42(4): 25-30. (CSCD)
[17] Kai Song, Xia Zeng, Min TANG. Error Detection for Floating-Point Program via Branch and Bound Method. CSETIS 2015: 3rd International Conference on Computer Science, Electronic Technology and Intelligent System, Guilin, P.R.China, 2015, 1206-1215. (EI)
[18] 唐敏, 关健, 邓国强, 王海刚. 一种求解二部图最大匹配问题新算法及其应用. 计算机系统应用. 2012,21(3): 72-75.
[19] 邓国强, 唐敏*. 误差函数Chebyshev级数的计算方法. 太阳成集团tyc122cc学报, 2016(6):508-512.
[20] Guoqiang Deng, Min Tang, Guangxi Chen. An Improved Algorithm for Maximum Flow Problem, 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009, 591-594.
教学研究类论文:
[1] 唐敏,邓国强. 面向信息与计算科学专业的算法设计与分析课程建设. 中国管理信息化. 2022, 25(13): 239-241.
[2] 邓国强, 唐敏. 新工科背景下算法设计与分析课程的教学改革. 科技视界. 2022, 369(03): 120-121.
[3] 邓国强, 唐敏, 曾祥艳. 创新人才培养模式下《高等数学》教学改革探讨. 才智, 2018(08): 3-3.
[4] 唐敏, 邓国强, 杨国荣. 翻转课堂在算法设计与分析课程中的实施策略. 当代教育实践与教学研究, 2018(1): 26-26.
[5] 邓国强, 唐敏.《高等数学》教学改革探讨. 时代教育, 2017(17): 47-47.
[6] 邓国强, 唐敏. 信息与计算科学专业“离散数学”教学内容改革探讨. 教育教学论坛, 2016(38):99-100.
[7] 邓国强,唐敏,陈光喜.结构化开发方法在软件专业课程之间的融合作用[J].中国科技信息, 2010(01): 208-209.
[8] 唐敏,陈光喜,邓国强. 加强实践性和应用性教学,提高软件工程学习质量. 高等理科教育. 2009, 34-36.
[9] 赵汝文, 梁王欢, 唐敏. 数学类专业中《算法分析与设计》课程实验的改革. 中小企业管理与科技, 2012(19): 207-208.