Jiao Liu

33 papers A* 1B 3Journal 24Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities.
IEEE Comput. Intell. Mag.
Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2026 A* conf
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos.
AAAI
Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2025 J jnl
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CoRR
Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
2025 J jnl
A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation.
CoRR
Hua Yu, Jiao Liu, Xu Gui, Melvin Wong, Yaqing Hou, Yew-Soon Ong
2025 J jnl
Constrained Evolutionary Bayesian Optimization for Expensive Constrained Optimization Problems With Inequality Constraints.
IEEE Trans. Syst. Man Cybern. Syst.
Jiao Liu, Yong Wang, Guangyong Sun, Tong Pang
2025 B conf
Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO.
CEC
Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin
2025 J jnl
EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics.
CoRR
Meng Xu, Jiao Liu, Yew Soon Ong
2025 J jnl
ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence.
IEEE Trans. Evol. Comput.
Jiao Liu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
2025 — conf
Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.
GECCO Companion
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2025 J jnl
LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking.
IEEE Comput. Intell. Mag.
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025 B conf
Looks Great, Functions Better: Physics Compliance Text-to-3D Shape Generation.
IJCNN
Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew Soon Ong
2025 J jnl
MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning.
CoRR
Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong
2025 J jnl
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects.
CoRR
Zihan Hong, Yushi Wu, Zhiting Zhao, Shanshan Feng, Jianghong Ma, Jiao Liu, Tianjun Wei
2025 J jnl
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos.
CoRR
Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2025 J jnl
Parametric Expensive Multi-Objective Optimization via Generative Solution Modeling.
CoRR
Tingyang Wei, Jiao Liu, Abhishek Gupta, Chin Chun Ooi, Puay Siew Tan, Yew-Soon Ong
2025 J jnl
Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects.
CoRR
Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2025 J jnl
Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem.
IEEE Trans. Emerg. Top. Comput. Intell.
Xupeng Wen, Guohua Wu, Jiao Liu, Yew-Soon Ong
2024 J jnl
A Two-Phase Kriging-Assisted Evolutionary Algorithm for Expensive Constrained Multiobjective Optimization Problems.
IEEE Trans. Syst. Man Cybern. Syst.
Zhiyao Zhang, Yong Wang, Jiao Liu, Guangyong Sun, Ke Tang
2024 — conf
Bayesian Forward-Inverse Transfer for Multiobjective Optimization.
PPSN (4)
Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
2024 J jnl
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.
ACM Trans. Evol. Learn. Optim.
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2024 — conf
Fast Convergence PINNs Using Pseudo-Density Embedding: A study on Solid Mechanics.
CAI
Melvin Wong, Jiao Liu, Ge Jin, Kunpeng Li, Doan Ngoc Chi Nam
2024 B conf
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective.
CEC
Jiao Liu, Yew Soon Ong, Melvin Wong
2024 — conf
Inverse Multiobjective Optimization by Generative Model Prompting.
CAI
Jiao Liu, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan
2024 J jnl
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking.
CoRR
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024 J jnl
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons.
CoRR
Jiao Liu, Zhu Sun, Shanshan Feng, Yew-Soon Ong
2024 J jnl
Precise-Physics Driven Text-to-3D Generation.
CoRR
Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong
2024 — conf
Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery.
CAI
Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi
2023 J jnl
Inverse Transfer Multiobjective Optimization.
CoRR
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2023 J jnl
Solving Highly Expensive Optimization Problems via Evolutionary Expected Improvement.
IEEE Trans. Syst. Man Cybern. Syst.
Jiao Liu, Yong Wang, Guangyong Sun, Tong Pang
2022 J jnl
A Biobjective Perspective for Mixed-Integer Programming.
IEEE Trans. Syst. Man Cybern. Syst.
Jiao Liu, Yong Wang, Bin Xin, Ling Wang
2022 J jnl
CaR: A Cutting and Repulsion-Based Evolutionary Framework for Mixed-Integer Programming Problems.
IEEE Trans. Cybern.
Jiao Liu, Yong Wang, Pei-Qiu Huang, Shouyong Jiang
2022 J jnl
Multisurrogate-Assisted Ant Colony Optimization for Expensive Optimization Problems With Continuous and Categorical Variables.
IEEE Trans. Cybern.
Jiao Liu, Yong Wang, Guangyong Sun, Tong Pang
2022 J jnl
Surrogate-Assisted Differential Evolution With Region Division for Expensive Optimization Problems With Discontinuous Responses.
IEEE Trans. Evol. Comput.
Yong Wang, Jianqing Lin, Jiao Liu, Guangyong Sun, Tong Pang