Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP). - Linwei Hu; Jie Chen 054; Vijayan N. Nair; Agus Sudjianto (CoRR, 2018)

Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms. - Linwei Hu; Jie Chen 054; Vijayan N. Nair; Agus Sudjianto (CoRR, 2020)

Supervised Machine Learning Techniques: An Overview with Applications to Banking. - Linwei Hu; Jie Chen 054; Joel Vaughan; Hanyu Yang; Kelly Wang; Agus Sudjianto; Vijayan N. Nair (CoRR, 2020)

Why Audiences Donate Money to Content Creators? A Uses and Gratifications Perspective. - Lili Liu; Jiujiu Jiang; Shanjiao Ren; Linwei Hu (HCI (45), 2021)

Motivating Subscription of Video-on-Demand in Mainland China: A Push-Pull-Mooring Perspective. - Lili Liu; Bingyun Jin; Yajun Shi; Linwei Hu; Jingping Yang; Chuanmin Mi (HCI (48), 2022)

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. - Vijayan N. Nair; Tianshu Feng; Linwei Hu; Zach Zhang; Jie Chen 054; Agus Sudjianto (CoRR, 2022)

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study. - Alice J. Liu; Linwei Hu; Jie Chen 054; Vijayan N. Nair (CoRR, 2022)

Shapley Computations Using Surrogate Model-Based Trees. - Zhipu Zhou; Jie Chen; Linwei Hu (CoRR, 2022)

Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models. - Linwei Hu; Jie Chen 054; Vijayan N. Nair (CoRR, 2022)

The Influence Factors of the Characteristics of Live Broadcast E-commerce Anchors on Consumers' Intention to Recommend WOM: A S-O-R Perspective. - Linwei Hu; Chuanmin Mi; Lili Liu (HCI (54), 2023)

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons. - Linwei Hu; Vijayan N. Nair; Agus Sudjianto; Aijun Zhang; Jie Chen 054 (CoRR, 2023)

Computing SHAP Efficiently Using Model Structure Information. - Linwei Hu; Ke Wang (CoRR, 2023)

Monotone Tree-Based GAMI Models by Adapting XGBoost. - Linwei Hu; Soroush Aramideh; Jie Chen 054; Vijayan N. Nair (CoRR, 2023)

Cross Spline Net and a Unified World. - Linwei Hu; Ye Jin Choi; Vijayan N. Nair (CoRR, 2024)

Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC. - Zhenyi Wang; Pengfei Yang 001; Bowen Zhang; Linwei Hu; Wenkai Lv; Chengmin Lin; Quan Wang 006 (Inf. Sci., 2024)

SLAPP: Subgraph-level attention-based performance prediction for deep learning models. - Zhenyi Wang; Pengfei Yang 001; Linwei Hu; Bowen Zhang; Chengmin Lin; Wenkai Lv; Quan Wang 006 (Neural Networks, 2024)

Performance Prediction for Deep Learning Models With Pipeline Inference Strategy. - Zhenyi Wang; Pengfei Yang 001; Bowen Zhang; Linwei Hu; Wenkai Lv; Chengmin Lin; Cheng Zhang; Quan Wang 006 (IEEE Internet Things J., 2024)