Visual Integration of Quantitative Proteomic Data, Pathways, and Protein Interactions. - Radu Jianu; Kebing Yu; Lulu Cao; Vinh Nguyen; Arthur R. Salomon; David H. Laidlaw (IEEE Trans. Vis. Comput. Graph., 2010)

Particle Competitive Mechanism Based Multiobjective Rough Clustering Algorithm for Image Segmentation. - Feng Zhao 005; Lulu Cao; Hanqiang Liu 001; Zihan Tang; JiuLun Fan 001 (IEEE Trans. Fuzzy Syst., 2022)

Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs. - Zhenzhong Wang; Lulu Cao; Wanyu Lin; Min Jiang 005; Kay Chen Tan (AAAI, 2023)

Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations. - Lulu Cao; Zimo Zheng; Chenwen Ding; Jinkai Cai; Min Jiang 005 (ICONIP (8), 2023)

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. - Lulu Cao; Yufei Liu 003; Zhenzhong Wang; Dejun Xu; Kai Ye 005; Kay Chen Tan; Min Jiang 005 (AAAI, 2024)

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

Online biomedical named entities recognition by data and knowledge-driven model. - Lulu Cao; Chaochen Wu; Guan Luo; Chao Guo; Anni Zheng (Artif. Intell. Medicine, 2024)

The combination of focal breast edema and adjacent vessel sign to assess the behavior of mass-type invasive ductal carcinoma. - Juanjuan Hu; Junli Ke; Shufeng Xu; Lei Pei; Lulu Cao; Huanhao Zhou; Xisong Zhu (BMC Medical Imaging, 2024)

Interpretable Solutions for Multi-Physics PDEs Using T-NNGP. - Lulu Cao; Zexin Lin; Kay Chen Tan; Min Jiang 005 (AAAI, 2025)

NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions. - Lulu Cao; Yinglan Feng; Min Jiang 005; Kay Chen Tan (CEC, 2025)

Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy. - Zhenzhong Wang; Lulu Cao; Liang Feng 001; Min Jiang 005; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)