Boning Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Wireless Networks

Spectral Clustering

Imperfect Information

Top Venues

IEEE Trans. Wirel. Commun.

Publications

Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
Learning to Transmit With Provable Guarantees in Wireless Federated Learning. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Boning Li, Zhixuan Fang, Longbo Huang
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. CoRR (2024)
Boning Li, Gojko Cutura, Ananthram Swami, Santiago Segarra
Deep Demixing: Reconstructing the Evolution of Network Epidemics. CoRR (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
Blind quantum machine learning with quantum bipartite correlator. CoRR (2023)
Yu Zhu, Boning Li, Santiago Segarra
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. CoRR (2023)
Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
Learnable Digital Twin for Efficient Wireless Network Evaluation. MILCOM (2023)
Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
Learnable Digital Twin for Efficient Wireless Network Evaluation. CoRR (2023)
Boning Li, Gunjan Verma, Santiago Segarra
Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. IEEE Trans. Wirel. Commun. 22 (2) (2023)
Boning Li, Jake Perazzone, Ananthram Swami, Santiago Segarra
Learning to Transmit with Provable Guarantees in Wireless Federated Learning. CoRR (2023)
Boning Li, Gunjan Verma, Santiago Segarra
Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks. CoRR (2022)
Yu Zhu, Boning Li, Santiago Segarra
Hypergraph 1-Spectral Clustering with General Submodular Weights. IEEECONF (2022)
Yu Zhu, Boning Li, Santiago Segarra
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. ICASSP (2022)
Boning Li, Ananthram Swami, Santiago Segarra
Power Allocation for Wireless Federated Learning Using Graph Neural Networks. ICASSP (2022)
Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra
Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. ACSCC (2021)
Boning Li, Ananthram Swami, Santiago Segarra
Power Allocation for Wireless Federated Learning using Graph Neural Networks. CoRR (2021)
Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra
Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. EUSIPCO (2021)
Yu Zhu, Boning Li, Santiago Segarra
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. CoRR (2021)
Yu Zhu, Boning Li, Santiago Segarra
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. EUSIPCO (2021)
Boning Li, Xiangbo Shu, Rui Yan
Storyboard relational model for group activity recognition. MMAsia (2020)
Boning Li, Akane Sano
. EMBC (2020)
Jiasen Li, Xun Gong, Boning Li
End-to-End Texture-Aware and Depth-Aware Embedded Advertising for Videos. ICCTA (2020)
Boning Li, Akane Sano
Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (2) (2020)
Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov
Mapping solar array location, size, and capacity using deep learning and overhead imagery. CoRR (2019)
Boning Li, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci. APSIPA (2019)
Boning Li, Han Yu, Akane Sano
Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. ACII Workshops (2019)
Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye
POI Semantic Model with a Deep Convolutional Structure. CoRR (2019)