Yinglan Feng, PhD, Assistant Professor, School of Artificial Intelligence, Shenzhen University.
Email: yinglfeng@szu.edu.cn
Research Interests: Computational intelligence, multi-objective optimization, evolutionary transfer optimization, large-scale model optimization agents
Dr. Yinglan Feng graduated from the Department of Computer Science, City University of Hong Kong in 2024, under the supervision of Professor Kay Chen Tan; from 2024 to 2025, she conducted postdoctoral research at the Department of Data Science and Artificial Intelligence, Hong Kong Polytechnic University; and joined the School of Artificial Intelligence, Shenzhen University in October 2025. Her research focuses on intelligent computing, particularly solving complex multi-objective problems involving various forms of transfer optimization; she has published over 10 papers in IEEE TEVC, Swarm EC, and other international journals and conferences; and serves as a reviewer for several authoritative international journals and conferences in the fields of computational intelligence and machine learning, including TEVC, TCYB, CIM, TCDS, and TETCI.
Representative research achievements:
(1) Yinglan Feng; Liang Feng; Sam Kwong; Kay Chen Tan; A Multi-Form Evolutionary Search Paradigm for Bi-level Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, 2024, 28(6): 1719-1732 (Journal articles，Chinese Academy of Sciences Zone 1，IF=14.3)
(2) Yinglan Feng; Liang Feng; Sam Kwong; Kay Chen Tan; A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, 2022, 26(2): 248-262 Journal articles，Chinese Academy of Sciences Zone 1，IF=14.3)
(3) Yinglan Feng; Liang Feng; Songbai Liu; Sam Kwong; Kay Chen Tan; Towards multiobjective high-dimensional feature selection via evolutionary multitasking, SWARM ANDEVOLUTIONARY COMPUTATION, 2024, 89: 101618 (Journal articles，Chinese Academy of Sciences Zone 1，IF=8.2)
(4) Yinglan Feng; Liang Feng; Xiaoming Xue; Sam Kwong; Kay Chen Tan; A Review on Evolutionary Multiform Transfer Optimization, 2024 IEEE Congress on Evolutionary Computation (CEC), Japan, 2024 (Conference paper, indexed by EI)
(5) Yinglan Feng; Liang Feng; Yaqing Hou; Kay Chen Tan; Sam Kwong; EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding, 2021 IEEE Congress on Evolutionary Computation (CEC), Poland, 2021 (Conference paper, indexed by EI)
(6) Yinglan Feng; Liang Feng; Yaqing Hou; Kay Chen Tan; Large-Scale Optimization via Evolutionary Multitasking assisted Random Embedding, 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020 (Conference paper, indexed by EI)
(7) Lulu Cao; Yinglan Feng*; Min Jiang; Kay Chen Tan; NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions, 2025 IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China, 2025 (Conference paper, indexed by EI)
(8) Xiaoming Xue; Liang Feng; Yinglan Feng; Rui Liu; Kai Zhang; Kay Chen Tan; A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization, 2025 IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China, 2025 (Conference paper, indexed by EI，Best Paper Award)
Research projects led or participated in:
(1) University Grants Committee (Hong Kong), Collective Research Fund, C5052-23G, Towards Next-generation Artificial Auditory System with Brain-inspired Technologies, 2024-09 to 2027-09, HK$6.43 million, Ongoing, Participant
(2) University Grants Committee (Hong Kong), General Research Fund, 15215623, Towards Lightweight Optimization for Complex Problems, 2024-01 to 2026-12, HK$931,000, Ongoing, Participant
(3) University Grants Committee (Hong Kong), General Research Fund, 15218622, Advancing Multi-task Designs for Large-scale Multi-objective Optimization, 2023-01 to 2025-12, HK$1.21 million, Ongoing, Participant
(4) National Natural Science Foundation of China Project, U21A20512, Theory and Methods of Evolutionary Computation for Intelligent Logistics, 2022-01 to 2025-12, 910,000 RMB, Ongoing, Participant
