Jiao Liu

According to our database, Jiao Liu authored at least 36 papers between 2022 and 2026.

Collaborative distances:

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

2026

θ_lθ_u-Parametric Multitask Optimization: Joint Search in Solution and Infinite Task Spaces.

Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong

IEEE Trans. Evol. Comput., June, 2026

TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling.

Meng Xu, Jiao Liu, Hua Yu, Yew Soon Ong

CoRR, April, 2026

Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities.

Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong

IEEE Comput. Intell. Mag., February, 2026

Grounding Programming Chatbot in Computational Thinking: Design and Evaluation of MazeMate.

Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos.

Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Parametric Expensive Multi-Objective Optimization via Generative Solution Modeling.

Tingyang Wei, Jiao Liu, Abhishek Gupta, Chin Chun Ooi, Puay Siew Tan, Yew-Soon Ong

CoRR, November, 2025

MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning.

Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong

CoRR, November, 2025

LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking.

Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew-Soon Ong

IEEE Comput. Intell. Mag., November, 2025

EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics.

Meng Xu, Jiao Liu, Yew Soon Ong

CoRR, October, 2025

A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation.

Hua Yu, Jiao Liu, Xu Gui, Melvin Wong, Yaqing Hou, Yew-Soon Ong

CoRR, August, 2025

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects.

Zihan Hong, Yushi Wu, Zhiting Zhao, Shanshan Feng, Jianghong Ma, Jiao Liu, Tianjun Wei

CoRR, June, 2025

Constrained Evolutionary Bayesian Optimization for Expensive Constrained Optimization Problems With Inequality Constraints.

Jiao Liu, Yong Wang, Guangyong Sun, Tong Pang

IEEE Trans. Syst. Man Cybern. Syst., March, 2025

(θ_l, θ_u)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces.

Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong

CoRR, March, 2025

Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem.

Xupeng Wen, Guohua Wu, Jiao Liu, Yew-Soon Ong

IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence.

Jiao Liu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong

IEEE Trans. Evol. Comput., February, 2025

Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects.

Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong

CoRR, January, 2025

Looks Great, Functions Better: Physics Compliance Text-to-3D Shape Generation.

Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew Soon Ong

Proceedings of the International Joint Conference on Neural Networks, 2025

Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness.

Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.

Jiao Liu, Abhishek Gupta, Yew-Soon Ong

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO.

Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.

Jiao Liu, Abhishek Gupta, Yew-Soon Ong

ACM Trans. Evol. Learn. Optim., December, 2024

A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems.

Zhiyao Zhang, Yong Wang, Jiao Liu, Guangyong Sun, Ke Tang

IEEE Trans. Syst. Man Cybern. Syst., August, 2024

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons.

Jiao Liu, Zhu Sun, Shanshan Feng, Yew-Soon Ong

CoRR, 2024

LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking.

Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong

CoRR, 2024

Precise-Physics Driven Text-to-3D Generation.

Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong

CoRR, 2024

Bayesian Forward-Inverse Transfer for Multiobjective Optimization.

Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery.

Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Fast Convergence PINNs Using Pseudo-Density Embedding: A study on Solid Mechanics.

Melvin Wong, Jiao Liu, Ge Jin, Kunpeng Li, Doan Ngoc Chi Nam

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Inverse Multiobjective Optimization by Generative Model Prompting.

Jiao Liu, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective.

Jiao Liu, Yew Soon Ong, Melvin Wong

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Solving Highly Expensive Optimization Problems via Evolutionary Expected Improvement.

Jiao Liu, Yong Wang, Guangyong Sun, Tong Pang

IEEE Trans. Syst. Man Cybern. Syst., 2023

Inverse Transfer Multiobjective Optimization.

Jiao Liu, Abhishek Gupta, Yew-Soon Ong

CoRR, 2023

2022

A Biobjective Perspective for Mixed-Integer Programming.

Jiao Liu, Yong Wang, Bin Xin, Ling Wang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Surrogate-Assisted Differential Evolution With Region Division for Expensive Optimization Problems With Discontinuous Responses.

Yong Wang, Jianqing Lin, Jiao Liu, Guangyong Sun, Tong Pang

IEEE Trans. Evol. Comput., 2022

Multisurrogate-Assisted Ant Colony Optimization for Expensive Optimization Problems With Continuous and Categorical Variables.

Jiao Liu, Yong Wang, Guangyong Sun, Tong Pang

IEEE Trans. Cybern., 2022

CaR: A Cutting and Repulsion-Based Evolutionary Framework for Mixed-Integer Programming Problems.

Jiao Liu, Yong Wang, Pei-Qiu Huang, Shouyong Jiang

IEEE Trans. Cybern., 2022