Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. - Boning Li; Han Yu 008; Akane Sano (ACII Workshops, 2019)

A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci. - Boning Li; Xuyang Zhao; Qibin Zhao; Toshihisa Tanaka 001; Jianting Cao (APSIPA, 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)

POI Semantic Model with a Deep Convolutional Structure. - Ji Zhao 010; Meiyu Yu; Huan Chen; Boning Li; Lingyu Zhang 001; Qi Song; Li Ma; Hua Chai; Jieping Ye (CoRR, 2019)

Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress*. - Boning Li; Akane Sano (EMBC, 2020)

End-to-End Texture-Aware and Depth-Aware Embedded Advertising for Videos. - Jiasen Li; Xun Gong 005; Boning Li (ICCTA, 2020)

Storyboard relational model for group activity recognition. - Boning Li; Xiangbo Shu; Rui Yan 010 (MMAsia, 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)

Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. - Boning Li; Gunjan Verma; Chirag Rao; Santiago Segarra (ACSCC, 2021)

Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. - Yu Zhu 003; Boning Li; Santiago Segarra (EUSIPCO, 2021)

Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. - Gojko Cutura; Boning Li; Ananthram Swami; Santiago Segarra (EUSIPCO, 2021)

Hypergraph 1-Spectral Clustering with General Submodular Weights. - Yu Zhu 003; Boning Li; Santiago Segarra (IEEECONF, 2022)

Power Allocation for Wireless Federated Learning Using Graph Neural Networks. - Boning Li; Ananthram Swami; Santiago Segarra (ICASSP, 2022)

Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. - Yu Zhu 003; Boning Li; Santiago Segarra (ICASSP, 2022)

Learnable Digital Twin for Efficient Wireless Network Evaluation. - Boning Li; Timofey Efimov; Abhishek Kumar; Jose Cortes; Gunjan Verma; Ananthram Swami; Santiago Segarra (MILCOM, 2023)

Deep Demixing: Reconstructing the Evolution of Network Epidemics. - Boning Li; Gojko Cutura; Ananthram Swami; Santiago Segarra (CoRR, 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 005; Charles Lim; Ju Li 003; et al. (CoRR, 2023)

Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. - Boning Li; Gunjan Verma; Santiago Segarra (IEEE Trans. Wirel. Commun., 2023)

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. - Boning Li; Zhixuan Fang; Longbo Huang (ICML, 2024)

Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration. - Jinsha Liu; Boning Li; Takaharu Yamazaki; Jianting Cao (IEEE Access, 2024)

GLANCE: Graph-based Learnable Digital Twin for Communication Networks. - Boning Li; Gunjan Verma; Timofey Efimov; Abhishek Kumar; Santiago Segarra (CoRR, 2024)

Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education. - Boning Li (Int. J. Web Based Learn. Teach. Technol., 2024)

Learning to Transmit With Provable Guarantees in Wireless Federated Learning. - Boning Li; Jake B. Perazzone; Ananthram Swami; Santiago Segarra (IEEE Trans. Wirel. Commun., 2024)

Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games. - Boning Li; Longbo Huang (ICLR, 2025)

Real-Time Classification of Deep and Non-Deep Sleep With Comparative Intervention Experiments. - Mo Xia; Hongxi Xue; Boning Li; Jianting Cao (IEEE Access, 2025)

Collaborative VR environment for supporting food culture learning. - Boning Li; Lehao Zhou; Junichi Hoshino (Entertain. Comput., 2025)

Characteristics of micro-learning units in college physical education based on improved particle swarm optimization. - Boning Li; Zheng Yang; Yunhang Lu (Intell. Decis. Technol., 2025)

Finite-time fault-tolerant control of attitude control system of quadrotor UAV based on neural network disturbance observer. - Boning Li; Ming Chen; Shuchang Qi; Kaixiang Peng (Neural Comput. Appl., 2025)