Linwei Hu

According to our database, Linwei Hu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

Performance Prediction for Deep Learning Models With Pipeline Inference Strategy.

Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Cheng Zhang, Quan Wang

IEEE Internet Things J., January, 2024

SLAPP: Subgraph-level attention-based performance prediction for deep learning models.

Zhenyi Wang, Pengfei Yang, Linwei Hu, Bowen Zhang, Chengmin Lin, Wenkai Lv, Quan Wang

Neural Networks, 2024

Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC.

Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Quan Wang

Inf. Sci., 2024

Cross Spline Net and a Unified World.

Linwei Hu, Ye Jin Choi, Vijayan N. Nair

CoRR, 2024

2023

Monotone Tree-Based GAMI Models by Adapting XGBoost.

Linwei Hu, Soroush Aramideh, Jie Chen, Vijayan N. Nair

CoRR, 2023

Computing SHAP Efficiently Using Model Structure Information.

Linwei Hu, Ke Wang

CoRR, 2023

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons.

Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen

CoRR, 2023

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

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022

Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models.

Linwei Hu, Jie Chen, Vijayan N. Nair

CoRR, 2022

Shapley Computations Using Surrogate Model-Based Trees.

Zhipu Zhou, Jie Chen, Linwei Hu

CoRR, 2022

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study.

Alice J. Liu, Linwei Hu, Jie Chen, Vijayan N. Nair

CoRR, 2022

Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition.

Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto

CoRR, 2022

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

Proceedings of the HCI International 2022 - Late Breaking Posters, 2022

2021

Why Audiences Donate Money to Content Creators? A Uses and Gratifications Perspective.

Lili Liu, Jiujiu Jiang, Shanjiao Ren, Linwei Hu

Proceedings of the HCI International 2021 - Late Breaking Posters, 2021

2020

Supervised Machine Learning Techniques: An Overview with Applications to Banking.

Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair

CoRR, 2020

Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms.

Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto

CoRR, 2020

2018

Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP).

Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto

CoRR, 2018