Haokai Hong

23 papers A* 2B 3C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes.
AAAI
Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan
2025 B conf
A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design.
CEC
Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan
2025 A* conf
Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport.
ICLR
Haokai Hong, Wanyu Lin, Kc Tan
2025 J jnl
PII-Bench: Evaluating Query-Aware Privacy Protection Systems.
CoRR
Hao Shen, Zhouhong Gu, Haokai Hong, Weili Han
2024 J jnl
Boosting scalability for large-scale multiobjective optimization via transfer weights.
Inf. Sci.
Haokai Hong, Min Jiang, Gary G. Yen
2024 J jnl
Diffusion-Driven Domain Adaptation for Generating 3D Molecules.
CoRR
Haokai Hong, Wanyu Lin, Kay Chen Tan
2024 J jnl
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach.
IEEE Trans. Emerg. Top. Comput. Intell.
Haokai Hong, Min Jiang, Qiuzhen Lin, Kay Chen Tan
2024 J jnl
Fast 3D Molecule Generation via Unified Geometric Optimal Transport.
CoRR
Haokai Hong, Wanyu Lin, Kay Chen Tan
2024 B conf
Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator.
IJCNN
Lulu Cao, Haokai Hong, Min Jiang
2024 J jnl
Improving Performance Insensitivity of Large-Scale Multiobjective Optimization via Monte Carlo Tree Search.
IEEE Trans. Cybern.
Haokai Hong, Min Jiang, Gary G. Yen
2023 J jnl
A Recommender System Approach for Very Large-scale Multiobjective Optimization.
CoRR
Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan
2023 J jnl
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search.
CoRR
Haokai Hong, Min Jiang, Gary G. Yen
2023 J jnl
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan
2023 J jnl
Pre-Evolved Model for Complex Multi-objective Optimization Problems.
CoRR
Haokai Hong, Min Jiang
2022 B conf
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
CEC
Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
2022 J jnl
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
CoRR
Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
2022 J jnl
Solving large-scale multiobjective optimization via the probabilistic prediction model.
Memetic Comput.
Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan
2021 — conf
AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem.
ICA3PP (1)
Jiaxin Ye, Dejun Xu, Haokai Hong, Yongxuan Lai, Min Jiang
2021 J jnl
Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Min Jiang, Zhenzhong Wang, Haokai Hong, Gary G. Yen
2021 J jnl
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks.
CoRR
Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan
2021 — conf
Online Multiple Object Tracking Algorithm Based on Heat Map Propagation.
ICA3PP (1)
Wei Ding, Haokai Hong, Dejun Xu, Min Jiang
2021 C conf
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model.
EMO
Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan
2021 J jnl
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model.
CoRR
Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan