基本信息：
周宏，男，校聘教授，博士生导师。2020年毕业于加拿大滑铁卢大学，获博士学位，导师Lap Chi Lau教授；2022年3月加入福州大学数学与统计学院，2023年入选闽江学者奖励计划。主要研究方向为组合优化、近似算法、谱图理论等，研究成果发表于领域内权威期刊SIAM J. Comput., Math. Program., ACM Trans. Algorithms以及权威会议STOC、SODA等。早期曾从事生物信息学、计算生物学方面的研究。
教育及工作经历：
2025.12 – 至今，福州大学，数学与统计学院，校聘教授
2022.03 – 至今，福州大学，数学与统计学院，副教授
2021.01 – 2021.12，滑铁卢大学，计算机科学学院，博士后研究员
2015 – 2020，滑铁卢大学，计算机科学学院，获博士学位
2006 – 2012，中国科学技术大学，计算机科学与技术学院，获博士学位
2002 – 2006，吉林大学，计算机科学与技术学院，获学士学位
研究项目：
• 国家自然科学基金面上项目，基于非交换性分析的矩阵差异最小化问题算法研究，2026.01-2029.12，主持
• 福建省自然科学基金面上项目，组合优化实验设计问题的近似算法研究，2023.08-2026.08，主持
代表性论文：
• Fangfang Lin, Hong Zhou. Improved Bounds for the Bilu-Linial Conjecture via Spectral Recovery from Mixed Determinantal Polynomials. Manuscript. 2026. (arXiv version: https://arxiv.org/abs/2609.15715)
• Robert Wang, Lap Chi Lau, Hong Zhou. Derandomizing Matrix Concentration Inequalities from Free Probability. In Proceedings of the 58th Annual ACM Symposium on Theory of Computing (STOC 2026), Salt Lake City, Utah, USA, 2026. (arXiv version: https://arxiv.org/abs/2601.08111)
• Yun Li, Hong Zhou. Approximating total effective resistance minimization with small budget. (A preliminary version appeared in Proceedings of the 19th Annual Conference on Theory and Applications of Models of Computation (TAMC), 2025).
• Lap Chi Lau, Robert Wang, Hong Zhou. Spectral sparsification by deterministic discrepancy walk. In Proceedings of SIAM Symposium on Simplicity in Algorithms (SOSA 2025), New Orleans, Louisiana, USA, 2025. (arXiv version: https://arxiv.org/abs/2408.06146)
• Lap Chi Lau, Robert Wang, Hong Zhou. Experimental design using interlacing polynomials. In Proceedings of SIAM Symposium on Simplicity in Algorithms (SOSA 2025), New Orleans, Louisiana, USA, 2025. (arXiv version: https://arxiv.org/abs/2410.11390)
• Lap Chi Lau, Robert Wang, Hong Zhou. Experimental design for any p-norm. In Proceedings of Approximation, Randomization, and Combinatorial Optimization - Algorithms and Techniques (APPROX/RANDOM 2023), Atlanta, Georgia, USA, 2023. (arXiv version: https://arxiv.org/abs/2305.01942)
• Lap Chi Lau, Hong Zhou. A local search framework for experimental design. SIAM Journal on Computing, 2022, Vol. 51(4), 900-951. (A preliminary version appeared in Proceedings of the 32nd ACM-SIAM Symposium on Discrete Algorithms (SODA), 2021. arXiv version: https://arxiv.org/abs/2010.15805)
• Lap Chi Lau, Hong Zhou. A spectral approach to network design. SIAM Journal on Computing, 2022, Vol. 51(4), 1018-1064. (A preliminary version appeared in Proceedings of the 52nd Annual ACM Symposium on Theory of Computing (STOC), 2020. arXiv version: https://arxiv.org/abs/2003.07810)
• Pak Hay Chan, Lap Chi Lau, Aaron Schild, Sam Chiu-wai Wong, Hong Zhou. Network design for s-t effective resistance. ACM Transaction on Algorithms, 2022, Vol. 18(3), 22:1-45. (arXiv version: https://arxiv.org/abs/1904.03219)
• Lap Chi Lau, Hong Zhou. A unified algorithm for degree bounded survivable network design. Mathematical Programming, 154(1-2): 515-532, 2015. (A preliminary version appeared in Proceedings of the 17th International Conference on Integer Programming and Combinatorial Optimization (IPCO), 2014)
早期生物信息学方面论文：
• Zhi Liang*, Hong Zhou*, Zongxiao He*, Haoran Zheng, Jiarui Wu. mirAct: a web tool for evaluating microRNA activity based on gene expression data. Nucleic Acids Research, 39:W139-W144, 2011. (* contributed equally)
• Zhi Liang*, Hong Zhou*, Haoran Zheng, Jiarui Wu. Expression levels of microRNAs are not associated with their regulatory activities. Biology Direct, 6(1), 2011. (* contributed equally)
• Bin Rui, Tie Shen, Hong Zhou, Jianping Liu, Jiusheng Chen, Xiaosong Pan, Haiyan Liu, Jihui Wu, Haoran Zheng, Yunyu Shi. A systematic investigation of Escherichia coli central carbon metabolism in response to superoxide stress. BMC Systems Biology, 4:122, 2010.
指导学生：
在读博士研究生：林芳芳 (2025级），谢琳欣（2025级），刘曙光 (2026级)
在读硕士研究生：宁明 (2024级)，郑康 (2024级)，梁晶琳 (2025级)，林诗晨 (2026级)， 吴谦 (2026级)
已毕业学生：李永 （2025届，硕士），李云（2026届，硕士）
