基本信息：

朱文兴，福州大学“嘉锡学者”特聘教授，福建省特支人才“双百计划”（百千万工程领军人才）。主要从事数字集成电路物理设计自动化算法，以及最优化理论、算法及其应用的研究。主持承担了7项国家自然科学基金项目和若干企业委托项目，作为骨干成员参与承担了多项国家重点研发计划项目和国家自然科学基金重点项目，在ACM、IEEE、INFORMS和SIAM旗下期刊，以及集成电路设计自动化国际顶级学术会议DAC和ICCAD发表了系列研究论文。研发的数字集成电路布局器被纳入IEEE国际电子设计自动化参考学术流程，并被命名为FZUplace。参编教育部101计划教材《集成电路设计方法学》。

教育及工作经历：

1996.7 — 至今 福州大学讲师、副教授、教授

1985.9 — 1996.7 上海科学技术大学（上海大学）本科、硕士、博士

获奖情况：

1. ISEDA最佳论文奖，CCF-DAC最佳论文提名，2023年

2. 教育部自然科学一等奖（第二完成人），2022年

3. 中国运筹学会科学技术奖-运筹应用奖，2020年

4. ICCAD'2018最佳论文奖提名，2018年

5. DAC'2017最佳论文奖，2017年

6. 福建省自然科学三等奖，2013年

7. 国家教学成果二等奖（第三完成人），2009年

学术任职：

1. 中国数学会理事（2020年—至今）

2. 中国运筹学会理事、常务理事（2020年—至今）

3. 中国运筹学会算法软件与应用分会副理事长（2023年—至今）

4. 福建省运筹学会副理事长（2017年—至今）

5. DAC TPC（2025年）

6. ASP-DAC TPC（2019、2023、2024、2025年）

近五年主要学术论文：

1. Weiguo Li, Zhipeng Huang, Bei Yu, Wenxing Zhu, Jian Chen, Zhixue He, Xingquan Li. iCTS: Iterative and Hierarchical Clock Tree Synthesis with Skew-Latency-Load Tree. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Accepted, 2025.

2. Wenchao Li, Hongxi Wu, Duanxiang Liu, Xingquan Li, Bei Yu, Wenxing Zhu. Differentiable Net-Moving and Local Congestion Mitigation for Routability-Driven Global Placement. DAC 2025.

3. Liang Chen, Wenxing Zhu, Min Tang, Sheldon Tan, Jianhua Zhang and Junfa Mao. PISOV: Physics-informed Separation of Variables Solvers for Full-Chip Thermal Analysis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 44, No. 5, pp. 1874-1886, 2025.

4. Hongxi Wu, Xingquan Li, Liang Chen, Bei Yu and Wenxing Zhu. Delay-Driven Rectilinear Steiner Tree Construction. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 44, No. 5, pp. 1928-1941, 2025.

5. Lanfan Jiang, Zilin Huang, Yu Chen, and Wenxing Zhu. Iterative Weighted Thresholding Method for Group-Sparsity Constrained Optimization with Applications. IEEE Transactions on Neural Networks and Learning Systems, Vol. 36, No. 6, pp. 2162-2388, 2025.

6. Weiguo Li, Zhipeng Huang, Bei Yu, Wenxing Zhu, Xingquan Li. Toward Controllable Hierarchical Clock Tree Synthesis with Skew-Latency-Load Tree. DAC 2024.

7. L. Yin, A. Wang, Wenxing Zhu, A. Guo, J. Liu, M. Tang, Jianhua Zhang, Liang Chen. A Stepwise Integration Separation of Variables Solver for Full-Chip Thermal Uncertainty Analysis. IEEE Transactions on Components, Packaging and Manufacturing Technology, Vol. 14, No. 4, pp. 630-640, 2024.

8. Keyu Peng, Wenxing Zhu. Pplace-MS: Methodologically Faster Poisson’s Equation Based Mixed-Size Global Placement. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 43, No. 2, pp. 613-626, 2024.

9. Meijia Han, Wenxing Zhu. Nonnegative partial s-goodness for the equivalence of a 0-1 linear program to weighted linear programming. Journal of Combinatorial Optimization, Vol. 45, No. 5, Article number: 124, 2023.

10. Ximeng Li, Keyu Peng, Fuxing Huang, Wenxing Zhu. PeF: Poisson’s Equation Based Large-Scale Fixed-Outline Floorplanning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 42, No. 6, pp. 2002-2015, 2023.

11. Fuxing Huang, Duanxiang Liu, Xingquan Li, Bei Yu, and Wenxing Zhu. Handling Orientation and Aspect Ratio of Modules in Electrostatics-based Large Scale Fixed-Outline Floorplanning. ICCAD 2023.

12. Pengju Yao, Ping Zhang, Wenxing Zhu. Pathfinding Model and Lagrangian-Based Global Routing. DAC 2023.

13. Wenxing Zhu, Huating Huang, Lanfan Jiang, Jianli Chen. Weighted Thresholding Homotopy Method for Sparsity Constrained Optimization. Journal of Combinatorial Optimization, Vol. 44, No. 3, pp. 1924-1952, 2022.

14. Wenxing Zhu, Zilin Huang, Jianli Chen, and Zheng Peng. Iteratively weighted thresholding method for sparse solution of underdetermined linear equations. Science China Mathematics, Vol. 64, No. 3, pp. 639-664, 2021.

15. Bingshu Wang, Lanfan Jiang, Wenxing Zhu, Longkun Guo, Jianli Chen, Yao-Wen Chang. Two-Stage Neural Network Classifier for Data Imbalanced Problem with Application to Hotspot Detection. DAC 2021.

         16. Lanfan Jiang, Wenxing Zhu. Iterative weighted group thresholding method for group sparse representation. IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, No. 1, pp. 63-76, 2021.