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2020 – today
- 2024
[j5]Haokai Hong
, Min Jiang, Gary G. Yen:
Boosting scalability for large-scale multiobjective optimization via transfer weights. Inf. Sci. 670: 120607 (2024)- [j4]Haokai Hong, Min Jiang, Gary G. Yen:
Improving Performance Insensitivity of Large-Scale Multiobjective Optimization via Monte Carlo Tree Search. IEEE Trans. Cybern. 54(3): 1816-1827 (2024) - [c5]Lulu Cao, Haokai Hong, Min Jiang:
Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator. IJCNN 2024: 1-8 - [i8]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Diffusion-Driven Domain Adaptation for Generating 3D Molecules. CoRR abs/2404.00962 (2024) - [i7]Haokai Hong, Wanyu Lin, Kay Chen Tan:
Fast 3D Molecule Generation via Unified Geometric Optimal Transport. CoRR abs/2405.15252 (2024) - 2023
- [j3]Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4631-4645 (2023) - [i6]Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan:
A Recommender System Approach for Very Large-scale Multiobjective Optimization. CoRR abs/2304.04067 (2023) - [i5]Haokai Hong, Min Jiang, Gary G. Yen:
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search. CoRR abs/2304.04071 (2023) - [i4]Haokai Hong, Min Jiang:
Pre-Evolved Model for Complex Multi-objective Optimization Problems. CoRR abs/2312.06125 (2023) - 2022
- [j2]Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving large-scale multiobjective optimization via the probabilistic prediction model. Memetic Comput. 14(2): 165-177 (2022) - [c4]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CEC 2022: 1-8 - [i3]Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan:
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. CoRR abs/2205.10052 (2022) - 2021
- [j1]Min Jiang, Zhenzhong Wang, Haokai Hong, Gary G. Yen:
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(1): 117-129 (2021) - [c3]Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. EMO 2021: 605-616 - [c2]Wei Ding, Haokai Hong, Dejun Xu, Min Jiang:
Online Multiple Object Tracking Algorithm Based on Heat Map Propagation. ICA3PP (1) 2021: 129-143 - [c1]Jiaxin Ye, Dejun Xu, Haokai Hong, Yongxuan Lai, Min Jiang:
AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem. ICA3PP (1) 2021: 271-287 - [i2]Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. CoRR abs/2101.02932 (2021) - [i1]Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan:
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. CoRR abs/2108.04197 (2021)
Coauthor Index
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