Ø Kaiqi Lin, Jianping Luo*. SAGE-NAS: Synergizing LLM-Based Semantic Agent with Graph-Based Evaluator for Neural Architecture Search. In Forty-third International Conference on Machine Learning (ICML 2026).
Ø Lin, M., & Jianping Luo*. Per-Architecture Training-Free Metric Optimization for Neural Architecture Search. In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).
Ø Yang, Y., Zhu, Q., Jianping Luo*, Wong, K. C., Lin, Q., & Li, J. TRNAS: A Training-Free Robust Neural Architecture Search. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025), 2336-2345.
ØJianping Luo*, Yongfei Dong, etc. A New Multitask Joint Learning Framework for Expensive Multi-objective Optimization Problems, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(2):1894-1909.
ØJianping Luo, YongFei Dong, Zexuan Zhu, Wenming Cao, and Xia Li, Expensive Multiobjective Optimization Based on Information Transfer Surrogate, IEEE Transactions on Systems, Man, and Cybernetics: Systems，2023, 53(3):1684-1696.
ØJianping Luo, Liang Chen, Xia Li, Qingfu Zhang,Novel Multitask Conditional Neural Network Surrogate Models, IEEE Transactions on Cybernetics, 2022, 52(5):3984-3997.
ØJianping Luo, Shaofei Huang, Yuan Yuan,Video Super-Resolution using Multiscale Pyramid 3D Convolutional Networks, 2020 ACM Multimedia(ACM MM 2020), 1882-1890.
ØNing Xie, Jianping Luo*. Resources Allocation at the Physical Layer for Network Function Virtualization Deployment. IEEE Transactions on Vehicular Technology. 10.1109/TVT.2020.2964703.
ØJianping Luo, Abhishek Gupta,Yew-Soon Ong, Zhenkun Wang. Evolutionary Optimization of Expensive Multi-objective Problems with Co-sub-Pareto Front Gaussian Process Surrogates. IEEE Transactions on Cybernetics, 2019, 49(5):1708-1721.
