Haokai Hong

Current: Pursuing Ph.D. @ PolyU

Interested in

 

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Publicatioins

2024

H. Hong, M. Jiang, and G. G. Yen. "Boosting scalability for large-scale multiobjective optimization via transfer weights," in Information Sciences, vol. 670 [Source]

H. Hong, M. Jiang, Q. Lin and K. C. Tan. "Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2024.3386866. [Source]

2023

H. Hong, M. Jiang, and G. G. Yen. "Improving performance insensitivity of large-scale multiobjective optimization via Monte Carlo tree search." IEEE Transactions on Cybernetics (2023). [Source]

2022

H. Hong, K. Ye, M. Jiang, D. Cao, and K. C. Tan. "Solving large-scale multiobjective optimization via the probabilistic prediction model." Memetic Computing 14, no. 2 (2022): 165-177. [Source]

H. Hong, M. Jiang, L. Feng, Q. Lin, and K. C. Tan. (2022, July). Balancing exploration and exploitation for solving large-scale multiobjective optimization via attention mechanism. In 2022 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-8). IEEE. [Source]

2021

H. Hong, K. Ye, M. Jiang, K. C. Tan, (2021). Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. In Evolutionary Multi-Criterion Optimization. EMO 2021. Lecture Notes in Computer Science(), vol 12654. Springer, Cham. https://doi.org/10.1007/978-3-030-72062-9_48 [Source]

Cooperation

M. Jiang, Z. Wang, H. Hong and G. G. Yen, "Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization," in IEEE Transactions on Evolutionary Computation, vol. 25, no. 1, pp. 117-129, Feb. 2021, doi: 10.1109/TEVC.2020.3004027. [Source]

Z. Wang, H. Hong, K. Ye, G. -E. Zhang, M. Jiang and K. C. Tan, "Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3113158. [Source]

Ye, J., Xu, D., Hong, H., Lai, Y., Jiang, M. (2022). AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem. In: Lai, Y., Wang, T., Jiang, M., Xu, G., Liang, W., Castiglione, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2021. Lecture Notes in Computer Science(), vol 13155. Springer, Cham. https://doi.org/10.1007/978-3-030-95384-3_18 [Source]

Ding, W., Hong, H., Xu, D., Jiang, M. (2022). Online Multiple Object Tracking Algorithm Based on Heat Map Propagation. In: Lai, Y., Wang, T., Jiang, M., Xu, G., Liang, W., Castiglione, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2021. Lecture Notes in Computer Science(), vol 13155. Springer, Cham. https://doi.org/10.1007/978-3-030-95384-3_9 [Source]

Contact

Location

P505, The Hong Kong Polytechnic University, 11 Yuk Choi Rd Hung Hom, Hong Kong SAR.

Website

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