Boning Li

According to our database, Boning Li authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

Learning to Transmit With Provable Guarantees in Wireless Federated Learning.

Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra

IEEE Trans. Wirel. Commun., July, 2024

GLANCE: Graph-based Learnable Digital Twin for Communication Networks.

Boning Li, Gunjan Verma, Timofey Efimov, Abhishek Kumar, Santiago Segarra

CoRR, 2024

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning.

Boning Li, Zhixuan Fang, Longbo Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks.

Boning Li, Gunjan Verma, Santiago Segarra

IEEE Trans. Wirel. Commun., 2023

Blind quantum machine learning with quantum bipartite correlator.

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

CoRR, 2023

Deep Demixing: Reconstructing the Evolution of Network Epidemics.

Boning Li, Gojko Cutura, Ananthram Swami, Santiago Segarra

CoRR, 2023

Learnable Digital Twin for Efficient Wireless Network Evaluation.

Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra

Proceedings of the IEEE Military Communications Conference, 2023

2022

Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian.

Yu Zhu, Boning Li, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2022

Power Allocation for Wireless Federated Learning Using Graph Neural Networks.

Boning Li, Ananthram Swami, Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2022

Hypergraph 1-Spectral Clustering with General Submodular Weights.

Yu Zhu, Boning Li, Santiago Segarra

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks.

Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra

Proceedings of the 29th European Signal Processing Conference, 2021

Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning.

Yu Zhu, Boning Li, Santiago Segarra

Proceedings of the 29th European Signal Processing Conference, 2021

Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks.

Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress.

Boning Li, Akane Sano

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Storyboard relational model for group activity recognition.

Boning Li, Xiangbo Shu, Rui Yan

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

End-to-End Texture-Aware and Depth-Aware Embedded Advertising for Videos.

Jiasen Li, Xun Gong, Boning Li

Proceedings of the ICCTA 2020: 6th International Conference on Computer and Technology Applications, 2020

Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress^*.

Boning Li, Akane Sano

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

POI Semantic Model with a Deep Convolutional Structure.

Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye

CoRR, 2019

Mapping solar array location, size, and capacity using deep learning and overhead imagery.

Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov

CoRR, 2019

A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci.

Boning Li, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning.

Boning Li, Han Yu, Akane Sano

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019