Lingfeng Yang

Orcid: 0000-0002-2725-8947

According to our database1, Lingfeng Yang authored at least 25 papers between 2009 and 2023.

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Bibliography

2023
Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

APF-GAN: Exploring asymmetric pre-training and fine-tuning strategy for conditional generative adversarial network.
Comput. Vis. Media, February, 2023

Fine-Grained Visual Prompting.
CoRR, 2023

A Survey of Historical Learning: Learning Models with Learning History.
CoRR, 2023

Fine-Grained Visual Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curriculum Temperature for Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality.
CoRR, 2022

RecursiveMix: Mixed Learning with History.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PPT: Anomaly Detection Dataset of Printed Products with Templates.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Markdown Feature-Aware Keywords Extraction Towards Technology Blogs.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Solution for SnakeCLEF 2022 by Tackling Long-tailed Categorization.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation.
CoRR, 2021

2018
DDoS Attack Identification and Defense Using SDN Based on Machine Learning Method.
Proceedings of the 15th International Symposium on Pervasive Systems, 2018

Domain-specific <i>modelware</i>: to make the machine learning model reusable and reproducible.
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

A Cooperated Data Management Platform for Coronary Heart Disease Early Identification and Risk Warning Research.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2015
From execution traces to specialized inference.
PhD thesis, 2015

Downlink heterogeneous small cell networks with cell associations in K-floor indoor scenarios.
Proceedings of the IEEE International Conference on Communication, 2015

Ergodic Rate Analysis for User Access in Downlink Heterogeneous Cloud Radio Access Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
Generating Efficient MCMC Kernels from Probabilistic Programs.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Synthesis of tiled patterns using factor graphs.
ACM Trans. Graph., 2013

2012
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC.
ACM Trans. Graph., 2012

Learning design patterns with bayesian grammar induction.
Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology, 2012

2010
Modeling player performance in rhythm games.
Proceedings of the ACM SIGGRAPH ASIA 2010 Sketches, 2010

2009
Exploratory modeling with collaborative design spaces.
ACM Trans. Graph., 2009


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