Haokai Hong

According to our database, Haokai Hong authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PII-Bench: Evaluating Query-Aware Privacy Protection Systems.

Hao Shen, Zhouhong Gu, Haokai Hong, Weili Han, Hongfeng Chai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes.

Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PII-Bench: Evaluating Query-Aware Privacy Protection Systems.

Hao Shen, Zhouhong Gu, Haokai Hong, Weili Han

CoRR, February, 2025

Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport.

Haokai Hong, Wanyu Lin, KC Tan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design.

Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach.

Haokai Hong, Min Jiang, Qiuzhen Lin, Kay Chen Tan

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Improving Performance Insensitivity of Large-Scale Multiobjective Optimization via Monte Carlo Tree Search.

Haokai Hong, Min Jiang, Gary G. Yen

IEEE Trans. Cybern., March, 2024

Boosting scalability for large-scale multiobjective optimization via transfer weights.

Haokai Hong, Min Jiang, Gary G. Yen

Inf. Sci., 2024

Fast 3D Molecule Generation via Unified Geometric Optimal Transport.

Haokai Hong, Wanyu Lin, Kay Chen Tan

CoRR, 2024

Diffusion-Driven Domain Adaptation for Generating 3D Molecules.

Haokai Hong, Wanyu Lin, Kay Chen Tan

CoRR, 2024

Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator.

Lulu Cao, Haokai Hong, Min Jiang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks.

Zhenzhong Wang, Haokai Hong, Kai Ye, Guang-En Zhang, Min Jiang, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Pre-Evolved Model for Complex Multi-objective Optimization Problems.

Haokai Hong, Min Jiang

CoRR, 2023

A Recommender System Approach for Very Large-scale Multiobjective Optimization.

Haokai Hong, Min Jiang, Jonathan M. Garibaldi, Qiuzhen Lin, Kay Chen Tan

CoRR, 2023

2022

Solving large-scale multiobjective optimization via the probabilistic prediction model.

Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan

Memetic Comput., 2022

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.

Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization.

Min Jiang, Zhenzhong Wang, Haokai Hong, Gary G. Yen

IEEE Trans. Evol. Comput., 2021

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model.

Haokai Hong, Kai Ye, Min Jiang, Donglin Cao, Kay Chen Tan

CoRR, 2021

Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks.

Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan

CoRR, 2021

AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem.

Jiaxin Ye, Dejun Xu, Haokai Hong, Yongxuan Lai, Min Jiang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Online Multiple Object Tracking Algorithm Based on Heat Map Propagation.

Wei Ding, Haokai Hong, Dejun Xu, Min Jiang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model.

Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021