Linwei Hu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Learning Models

Influence Factors

Axiomatic Characterization

Top Venues

IEEE Internet Things J.

Publications

Zhenyi Wang, Pengfei Yang, Linwei Hu, Bowen Zhang, Chengmin Lin, Wenkai Lv, Quan Wang
SLAPP: Subgraph-level attention-based performance prediction for deep learning models. Neural Networks 170 (2024)
Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Quan Wang
Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC. Inf. Sci. 678 (2024)
Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Cheng Zhang, Quan Wang
Performance Prediction for Deep Learning Models With Pipeline Inference Strategy. IEEE Internet Things J. 11 (2) (2024)
Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons. CoRR (2023)
Linwei Hu, Ke Wang
Computing SHAP Efficiently Using Model Structure Information. CoRR (2023)
Linwei Hu, Chuanmin Mi, Lili Liu
The Influence Factors of the Characteristics of Live Broadcast E-commerce Anchors on Consumers' Intention to Recommend WOM: A S-O-R Perspective. HCI (54) (2023)
Linwei Hu, Soroush Aramideh, Jie Chen, Vijayan N. Nair
Monotone Tree-Based GAMI Models by Adapting XGBoost. CoRR (2023)
Lili Liu, Bingyun Jin, Yajun Shi, Linwei Hu, Jingping Yang, Chuanmin Mi
Motivating Subscription of Video-on-Demand in Mainland China: A Push-Pull-Mooring Perspective. HCI (48) (2022)
Zhipu Zhou, Jie Chen, Linwei Hu
Shapley Computations Using Surrogate Model-Based Trees. CoRR (2022)
Alice J. Liu, Linwei Hu, Jie Chen, Vijayan N. Nair
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study. CoRR (2022)
Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. CoRR (2022)
Linwei Hu, Jie Chen, Vijayan N. Nair
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models. CoRR (2022)
Lili Liu, Jiujiu Jiang, Shanjiao Ren, Linwei Hu
Why Audiences Donate Money to Content Creators? A Uses and Gratifications Perspective. HCI (45) (2021)
Linwei Hu, Jie Chen, Joel Vaughan, Hanyu Yang, Kelly Wang, Agus Sudjianto, Vijayan N. Nair
Supervised Machine Learning Techniques: An Overview with Applications to Banking. CoRR (2020)
Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms. CoRR (2020)
Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto
Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP). CoRR (2018)