Haokai Hong is a Ph.D. studnet in Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University (PolyU), Hong Kong SAR, China. Before joining PolyU, he received the Bachelor degree and Master degree from the School of Informatics, Xiamen University, Xiamen, China, in 2020 and 2023, respectively. He is currently supervised by Prof. Kay Chen Tan.
H. Hong, W. Lin, M. Yang, and K. C. Tan. "Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes," Proceedings of the AAAI Conference on Artificial Intelligence. [Source] [Code]
H. Hong, W. Lin, and K. C. Tan. "Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport," The Thirteenth International Conference on Learning Representations. [Source] [Code]
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]
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]
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]
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]
C. Chen, H. Hong*, W. Lin, & K. C. Tan, "A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design,"" in 2025 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-9). IEEE. [Source]
L. Cao, H. Hong and M. Jiang, "Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8. [Source]
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]
P505, The Hong Kong Polytechnic University, 11 Yuk Choi Rd Hung Hom, Hong Kong SAR.