Assistant Professor
Hong Wenjing, PhD, Assistant Professor, Shenzhen University
Email: hongwj@szu.edu.cn
Dr. Hong Wenjing received her Bachelor's and Ph.D. degrees in Computer Science and Technology from the University of Science and Technology of China (USTC). After graduation, she conducted postdoctoral research at USTC and served as a research assistant professor at Southern University of Science and Technology (SUSTech).
Her main research interests include computational intelligence, evolutionary computation, multi-objective optimization and its applications, focusing on solving large-scale multi-objective optimization problems, maximizing network influence, hardware-aware neural network compression, and biological computing problems.
She has published over 30 papers in related fields, including in leading international journals and conferences such as IEEE TEVC, IEEE TCYB, and AAAI. She has led several research projects, including the National Natural Science Foundation of China (NSFC) Youth Science Fund, the Tencent Rhino Bird Special Research Project, the China Postdoctoral Science Foundation General Program, and the Guangdong-Hong Kong-Macao Greater Bay Area Brain Science and Brain-Inspired Research Center Open Project. A high-level professional talent in Shenzhen, a member of the Neural Networks Technical Committee of the IEEE Computational Intelligence Society, winner of the second prize in the National Industrial Internet Innovation Competition, and a reviewer for papers in multiple journals and conferences including IEEE TEVC, NeurIPS, ICML, and AAAI.
Some scientific research results
1. Wenjing Hong. Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels. AAAI 2025: 27009-27017
2. Wenjing Hong, Guiying Li, Shengcai Liu, Peng Yang, Ke Tang. Multi-Objective Evolutionary Optimization for Hardware-Aware Neural Network Pruning. Fundamental Research. 2024, 4(4): 941-950.
3. Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang. An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design. CEC 2024: 1-8.
4. Wenjing Hong, Chao Qian, Ke Tang. Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. IEEE Transactions on Cybernetics. 2021, 51(12): 6091-6104.
5. Wenjing Hong, Peng Yang, Ke Tang. Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. International Journal of Automation and Computing. 2021, 18(2): 155-169.
6. Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao. A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 2019, 23(3): 525-537.
