Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. - Haokai Hong; Kai Ye 005; Min Jiang 005; Kay Chen Tan (EMO, 2021)

Online Multiple Object Tracking Algorithm Based on Heat Map Propagation. - Wei Ding; Haokai Hong; Dejun Xu; Min Jiang 005 (ICA3PP (1), 2021)

AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem. - Jiaxin Ye; Dejun Xu; Haokai Hong; Yongxuan Lai; Min Jiang 005 (ICA3PP (1), 2021)

Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. - Zhenzhong Wang; Haokai Hong; Kai Ye 005; Min Jiang 005; Kay Chen Tan (CoRR, 2021)

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model. - Haokai Hong; Kai Ye 005; Min Jiang 005; Donglin Cao; Kay Chen Tan (CoRR, 2021)

Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization. - Min Jiang 005; Zhenzhong Wang; Haokai Hong; Gary G. Yen (IEEE Trans. Evol. Comput., 2021)

Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism. - Haokai Hong; Min Jiang 005; Liang Feng 001; Qiuzhen Lin; Kay Chen Tan (CEC, 2022)

Solving large-scale multiobjective optimization via the probabilistic prediction model. - Haokai Hong; Kai Ye 005; Min Jiang 005; Donglin Cao; Kay Chen Tan (Memetic Comput., 2022)

A Recommender System Approach for Very Large-scale Multiobjective Optimization. - Haokai Hong; Min Jiang 005; Jonathan M. Garibaldi; Qiuzhen Lin; Kay Chen Tan (CoRR, 2023)

Pre-Evolved Model for Complex Multi-objective Optimization Problems. - Haokai Hong; Min Jiang 005 (CoRR, 2023)

Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks. - Zhenzhong Wang; Haokai Hong; Kai Ye 005; Guang-En Zhang; Min Jiang 005; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator. - Lulu Cao; Haokai Hong; Min Jiang 005 (IJCNN, 2024)

Diffusion-Driven Domain Adaptation for Generating 3D Molecules. - Haokai Hong; Wanyu Lin; Kay Chen Tan (CoRR, 2024)

Fast 3D Molecule Generation via Unified Geometric Optimal Transport. - Haokai Hong; Wanyu Lin; Kay Chen Tan (CoRR, 2024)

Boosting scalability for large-scale multiobjective optimization via transfer weights. - Haokai Hong; Min Jiang 005; Gary G. Yen (Inf. Sci., 2024)

Improving Performance Insensitivity of Large-Scale Multiobjective Optimization via Monte Carlo Tree Search. - Haokai Hong; Min Jiang 005; Gary G. Yen (IEEE Trans. Cybern., 2024)

Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach. - Haokai Hong; Min Jiang 005; Qiuzhen Lin; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design. - Cheng Chen; Haokai Hong; Wanyu Lin; Kay Chen Tan (CEC, 2025)

Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport. - Haokai Hong; Wanyu Lin; Kc Tan (ICLR, 2025)

PII-Bench: Evaluating Query-Aware Privacy Protection Systems. - Hao Shen; Zhouhong Gu; Haokai Hong; Weili Han (CoRR, 2025)