Boyue Li

Orcid: 0009-0007-1193-2953

According to our database1, Boyue Li authored at least 15 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AWANet: Improved YOLOv11's Adaptive Weighted Attention Network for Haystack Detection in Airborne SAR Imagery.
IEEE Access, 2026

2025
Convergence and Privacy of Decentralized Nonconvex Optimization With Gradient Clipping and Communication Compression.
IEEE J. Sel. Top. Signal Process., January, 2025

2024
Real-Time Detection Transformer with Bi-Level Routing Attention.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Residual Hybrid Attention Enhanced Video Super-Resolution with Cross Convolution.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Enhanced Spatial Adaptive Fusion Network For Video Super-Resolution.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

OdCFU-Net for Brain Tumor Segmentation Based on MRI.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

2022
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization.
SIAM J. Math. Data Sci., 2022

BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Harvesting Curvatures for Communication-Efficient Distributed Optimization.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2020
GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking.
CoRR, 2019

2018
Nonparametric Density Estimation under Adversarial Losses.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Predictive State Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017


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