2 code implementations • 28 Feb 2019 • Wei Hu, Kyle Bradbury, Jordan M. Malof, Boning Li, Bohao Huang, Artem Streltsov, K. Sydny Fujita, Ben Hoen
Our findings suggest that traditional performance evaluation of the automated identification of solar PV from satellite imagery may be optimistic due to common limitations in the validation process.
no code implementations • 18 Mar 2019 • Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye
An accurate similarity calculation is challenging since the mismatch between a query and a retrieval text may exist in the case of a mistyped query or an alias inquiry.
1 code implementation • 18 Nov 2020 • Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra
We study the temporal reconstruction of epidemics evolving over networks.
1 code implementation • 19 Feb 2021 • Yu Zhu, Boning Li, Santiago Segarra
We propose a novel method to co-cluster the vertices and hyperedges of hypergraphs with edge-dependent vertex weights (EDVWs).
1 code implementation • 15 Nov 2021 • Boning Li, Ananthram Swami, Santiago Segarra
We propose a data-driven approach for power allocation in the context of federated learning (FL) over interference-limited wireless networks.
no code implementations • 27 Jan 2022 • Boning Li, Gunjan Verma, Santiago Segarra
We develop a novel graph-based trainable framework to maximize the weighted sum energy efficiency (WSEE) for power allocation in wireless communication networks.
2 code implementations • 18 Apr 2023 • Boning Li, Jake Perazzone, Ananthram Swami, Santiago Segarra
We propose a novel data-driven approach to allocate transmit power for federated learning (FL) over interference-limited wireless networks.
1 code implementation • 30 Apr 2023 • Yu Zhu, Boning Li, Santiago Segarra
We propose a flexible framework for defining the 1-Laplacian of a hypergraph that incorporates edge-dependent vertex weights.
no code implementations • 11 Jun 2023 • Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
Network digital twins (NDTs) facilitate the estimation of key performance indicators (KPIs) before physically implementing a network, thereby enabling efficient optimization of the network configuration.
1 code implementation • 11 Jun 2023 • Boning Li, Gojko Čutura, Ananthram Swami, Santiago Segarra
We propose the deep demixing (DDmix) model, a graph autoencoder that can reconstruct epidemics evolving over networks from partial or aggregated temporal information.
no code implementations • 19 Oct 2023 • Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia
Privacy in distributed quantum computing is critical for maintaining confidentiality and protecting the data in the presence of untrusted computing nodes.
no code implementations • 7 Mar 2024 • Boning Li, Zhixuan Fang, Longbo Huang
Effective action abstraction is crucial in tackling challenges associated with large action spaces in Imperfect Information Extensive-Form Games (IIEFGs).