Boning Li - RankMe

35 papers A* 2Misc 2Journal 21Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Characteristics of micro-learning units in college physical education based on improved particle swarm optimization. Intell. Decis. Technol. Boning Li, Zheng Yang, Yunhang Lu
2025	J	`jnl`	Collaborative VR environment for supporting food culture learning. Entertain. Comput. Boning Li, Lehao Zhou, Junichi Hoshino
2025	A*	`conf`	Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games. ICLR Boning Li, Longbo Huang
2025	J	`jnl`	Finite-time fault-tolerant control of attitude control system of quadrotor UAV based on neural network disturbance observer. Neural Comput. Appl. Boning Li, Ming Chen, Shuchang Qi, Kaixiang Peng
2025	J	`jnl`	Real-Time Classification of Deep and Non-Deep Sleep With Comparative Intervention Experiments. IEEE Access Mo Xia, Hongxi Xue, Boning Li, Jianting Cao
2024	J	`jnl`	Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration. IEEE Access Jinsha Liu, Boning Li, Takaharu Yamazaki, Jianting Cao
2024	J	`jnl`	GLANCE: Graph-based Learnable Digital Twin for Communication Networks. CoRR Boning Li, Gunjan Verma, Timofey Efimov, Abhishek Kumar, Santiago Segarra
2024	J	`jnl`	Learning to Transmit With Provable Guarantees in Wireless Federated Learning. IEEE Trans. Wirel. Commun. Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
2024	A*	`conf`	RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. ICML Boning Li, Zhixuan Fang, Longbo Huang
2024	J	`jnl`	RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning. CoRR Boning Li, Zhixuan Fang, Longbo Huang
2024	J	`jnl`	Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education. Int. J. Web Based Learn. Teach. Technol. Boning Li
2023	J	`jnl`	Blind quantum machine learning with quantum bipartite correlator. CoRR 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
2023	J	`jnl`	Deep Demixing: Reconstructing the Evolution of Network Epidemics. CoRR Boning Li, Gojko Cutura, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. IEEE Trans. Wirel. Commun. Boning Li, Gunjan Verma, Santiago Segarra
2023	J	`jnl`	Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. CoRR Yu Zhu, Boning Li, Santiago Segarra
2023	—	`conf`	Learnable Digital Twin for Efficient Wireless Network Evaluation. MILCOM Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Learnable Digital Twin for Efficient Wireless Network Evaluation. CoRR Boning Li, Timofey Efimov, Abhishek Kumar, Jose Cortes, Gunjan Verma, Ananthram Swami, Santiago Segarra
2023	J	`jnl`	Learning to Transmit with Provable Guarantees in Wireless Federated Learning. CoRR Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
2022	J	`jnl`	Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks. CoRR Boning Li, Gunjan Verma, Santiago Segarra
2022	—	`conf`	Hypergraph 1-Spectral Clustering with General Submodular Weights. IEEECONF Yu Zhu, Boning Li, Santiago Segarra
2022	Misc	`conf`	Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian. ICASSP Yu Zhu, Boning Li, Santiago Segarra
2022	Misc	`conf`	Power Allocation for Wireless Federated Learning Using Graph Neural Networks. ICASSP Boning Li, Ananthram Swami, Santiago Segarra
2021	—	`conf`	Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. EUSIPCO Yu Zhu, Boning Li, Santiago Segarra
2021	J	`jnl`	Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. CoRR Yu Zhu, Boning Li, Santiago Segarra
2021	—	`conf`	Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks. EUSIPCO Gojko Cutura, Boning Li, Ananthram Swami, Santiago Segarra
2021	—	`conf`	Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. ACSCC Boning Li, Gunjan Verma, Chirag Rao, Santiago Segarra
2021	J	`jnl`	Power Allocation for Wireless Federated Learning using Graph Neural Networks. CoRR Boning Li, Ananthram Swami, Santiago Segarra
2020	—	`conf`	Early versus Late Modality Fusion of Deep Wearable Sensor Features for Personalized Prediction of Tomorrow's Mood, Health, and Stress EMBC Boning Li, Akane Sano
2020	—	`conf`	End-to-End Texture-Aware and Depth-Aware Embedded Advertising for Videos. ICCTA Jiasen Li, Xun Gong, Boning Li
2020	J	`jnl`	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. Boning Li, Akane Sano
2020	—	`conf`	Storyboard relational model for group activity recognition. MMAsia Boning Li, Xiangbo Shu, Rui Yan
2019	—	`conf`	A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci. APSIPA Boning Li, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
2019	J	`jnl`	Mapping solar array location, size, and capacity using deep learning and overhead imagery. CoRR Jordan M. Malof, Boning Li, Bohao Huang, Kyle Bradbury, Artem Stretslov
2019	J	`jnl`	POI Semantic Model with a Deep Convolutional Structure. CoRR Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye
2019	—	`conf`	Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning. ACII Workshops Boning Li, Han Yu, Akane Sano