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ORCIDLinwei Hu
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2020 – today
- 2024
[j3]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): 2964-2978 (2024)- [j2]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: 120984 (2024) - [j1]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: 285-297 (2024) - [i11]Linwei Hu, Ye Jin Choi, Vijayan N. Nair:
Cross Spline Net and a Unified World. CoRR abs/2410.19154 (2024) - 2023
- [c3]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: 455-464 - [i10]Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen:
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons. CoRR abs/2305.15670 (2023) - [i9]Linwei Hu, Ke Wang:
Computing SHAP Efficiently Using Model Structure Information. CoRR abs/2309.02417 (2023) - [i8]Linwei Hu, Soroush Aramideh, Jie Chen, Vijayan N. Nair:
Monotone Tree-Based GAMI Models by Adapting XGBoost. CoRR abs/2309.02426 (2023) - 2022
- [c2]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: 63-71 - [i7]Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto:
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. CoRR abs/2204.12365 (2022) - [i6]Alice J. Liu, Linwei Hu, Jie Chen, Vijayan N. Nair:
Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study. CoRR abs/2204.12868 (2022) - [i5]Zhipu Zhou, Jie Chen, Linwei Hu:
Shapley Computations Using Surrogate Model-Based Trees. CoRR abs/2207.05214 (2022) - [i4]Linwei Hu, Jie Chen, Vijayan N. Nair:
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models. CoRR abs/2207.06950 (2022) - 2021
- [c1]Lili Liu, Jiujiu Jiang, Shanjiao Ren, Linwei Hu:
Why Audiences Donate Money to Content Creators? A Uses and Gratifications Perspective. HCI (45) 2021: 390-398 - 2020
- [i3]Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto:
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms. CoRR abs/2007.14528 (2020) - [i2]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 abs/2008.04059 (2020)
2010 – 2019
- 2018
- [i1]Linwei Hu, Jie Chen, Vijayan N. Nair, Agus Sudjianto:
Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP). CoRR abs/1806.00663 (2018)
Coauthor Index
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