E-LIB Suche - Ergebnisse für: Jiang, Zhanhong

1

Dominating Set Model Aggregation for communication-efficien..:

Fotouhi, Fateme ; Balu, Aditya ; Jiang, Zhanhong...
Neural Networks. 171 (2024) - p. 25-39 , 2024

Link: https://doi.org/10.1016/..

2

Neural PDE Solvers for Irregular Domains:

Khara, Biswajit ; Herron, Ethan ; Balu, Aditya...
Computer-Aided Design. 172 (2024) - p. 103709 , 2024

Link: https://doi.org/10.1016/..

3

A timeseries supervised learning framework for fault predic..:

Jiang, Zhanhong ; Risbeck, Michael J. ; Kulandai Samy, Santle Camilas...
Energy and Buildings. 285 (2023) - p. 112876 , 2023

Link: https://doi.org/10.1016/..

4

Data-driven control of airborne infection risk and energy u..:

Risbeck, Michael J. ; Cohen, Alexander E. ; Douglas, Jonathan D....
Building and Environment. 245 (2023) - p. 110893 , 2023

Link: https://doi.org/10.1016/..

5

The Stochastic Augmented Lagrangian method for domain adapt..:

Jiang, Zhanhong ; Liu, Chao ; Lee, Young M....
Knowledge-Based Systems. 235 (2022) - p. 107593 , 2022

Link: https://doi.org/10.1016/..

6

Distributed Online Non-convex Optimization with Composite R..:

, In: 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton),

Jiang, Zhanhong ; Balu, Aditya ; Lee, Xian Yeow... - p. 1-8 , 2022

Link: https://doi.org/10.1109/..

7

Modeling and multiobjective optimization of indoor airborne..:

Risbeck, Michael J. ; Bazant, Martin Z. ; Jiang, Zhanhong...
Energy and Buildings. 253 (2021) - p. 111497 , 2021

Link: https://doi.org/10.1016/..

8

Decentralized Deep Learning Using Momentum-Accelerated Cons..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Balu, Aditya ; Jiang, Zhanhong ; Tan, Sin Yong... - p. 3675-3679 , 2021

Link: https://doi.org/10.1109/..

9

On Consensus-Optimality Trade-offs in Collaborative Deep Le..:

Jiang, Zhanhong ; Balu, Aditya ; Hegde, Chinmay.
Frontiers in Artificial Intelligence. 4 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

10

Collaborative deep learning framework for fault diagnosis i..:

Wang, Haoxiang ; Liu, Chao ; Jiang, Dongxiang.
Mechanical Systems and Signal Processing. 156 (2021) - p. 107650 , 2021

Link: https://doi.org/10.1016/..

11

Root-cause analysis for time-series anomalies via spatiotem..:

Liu, Chao ; Lore, Kin Gwn ; Jiang, Zhanhong.
Knowledge-Based Systems. 211 (2021) - p. 106527 , 2021

Link: https://doi.org/10.1016/..

12

Spatiotemporal Attention for Multivariate Time Series Predi..:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Gangopadhyay, Tryambak ; Tan, Sin Yong ; Jiang, Zhanhong.. - p. 3560-3564 , 2021

Link: https://doi.org/10.1109/..

13

Quantifying the tradeoff between energy consumption and the..:

Risbeck, Michael J. ; Bazant, Martin Z. ; Jiang, Zhanhong...
Science and Technology for the Built Environment. 28 (2021) 2 - p. 240-254 , 2021

Link: https://doi.org/10.1080/..

14

Building HVAC control with reinforcement learning for reduc..:

Jiang, Zhanhong ; Risbeck, Michael J. ; Ramamurti, Vish...
Energy and Buildings. 239 (2021) - p. 110833 , 2021

Link: https://doi.org/10.1016/..

15

Interpretable Deep Attention Model for Multivariate Time Se..:

, In: Lecture Notes in Computer Science; Dynamic Data Driven Applications Systems,

Gangopadhyay, Tryambak ; Tan, Sin Yong ; Jiang, Zhanhong. - p. 93-101 , 2020

Link: https://doi.org/10.1007/..