Yunpeng Li

According to our database, Yunpeng Li authored at least 38 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Differentiable interacting multiple model particle filtering.

John-Joseph Brady, Yuhui Luo, Wenwu Wang, Víctor Elvira, Yunpeng Li

Signal Process., 2026

2025

Periodontal Keypoint and Object Detection Dataset (perio-KPT).

María Eugenia Guerrero, Ryan Banks, Nelly Maria García-Madueño, Vishal Thengane, Yunpeng Li, Hongying Lilian Tang, Akhilanand Chaurasia

Dataset, January, 2025

Normalizing Flow-Based Differentiable Particle Filters.

Xiongjie Chen, Yunpeng Li

IEEE Trans. Signal Process., 2025

2024

Normalising Flow-based Differentiable Particle Filters.

Xiongjie Chen, Yunpeng Li

CoRR, 2024

H-FCBFormer: Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper.

Ryan Banks, Bernat Rovira-Lastra, Jordi Martinez-Gomis, Akhilanand Chaurasia, Yunpeng Li

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Regime Learning for Differentiable Particle Filters.

John-Joseph Brady, Yuhui Luo, Wenwu Wang, Víctor Elvira, Yunpeng Li

Proceedings of the 27th International Conference on Information Fusion, 2024

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations.

Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning Differentiable Particle Filter on the Fly.

Jiaxi Li, Xiongjie Chen, Yunpeng Li

CoRR, 2023

An overview of differentiable particle filters for data-adaptive sequential Bayesian inference.

Xiongjie Chen, Yunpeng Li

CoRR, 2023

Differentiable Bootstrap Particle Filters for Regime-Switching Models.

Wenhan Li, Xiongjie Chen, Wenwu Wang, Víctor Elvira, Yunpeng Li

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

DRoT: A Decentralised Root of Trust for Trusted Networks.

Loganathan Parthipan, Liqun Chen, Christopher J. P. Newton, Yunpeng Li, Fei Liu, Donghui Wang

Proceedings of the Information and Communications Security - 25th International Conference, 2023

2022

The HumBug Challenge: ComParE 2022.

Ivan Kiskin, Lawrence Wang, Marianne Sinka, Adam D. Cobb, Benjamin Gutteridge, Davide Zilli, Alexandru Constantin, Andreas Pentaliotis, Waqas Rafique, Rinita Dam, Theodoros Marinos, Yunpeng Li, Gerard Killeen, Dickson Msaky, Emmanuel Kaindoa, Kathy Willis, Steve J. Roberts

Dataset, April, 2022

Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection.

Xiongjie Chen, Yunpeng Li, Yongxin Yang

CoRR, 2022

Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow.

Xiongjie Chen, Yunpeng Li

Proceedings of the 30th European Signal Processing Conference, 2022

2021

HumBugDB: a large-scale acoustic mosquito dataset.

Ivan Kiskin, Lawrence Wang, Marianne Sinka, Adam D. Cobb, Benjamin Gutteridge, Davide Zilli, Waqas Rafique, Rinita Dam, Theodoros Marinos, Yunpeng Li, Gerard Killeen, Dickson Msaky, Emmanuel Kaindoa, Kathy Willis, Steve J. Roberts

Dataset, June, 2021

HumBugDB: A Large-scale Acoustic Mosquito Dataset.

Ivan Kiskin, Marianne Sinka, Adam D. Cobb, Waqas Rafique, Lawrence Wang, Davide Zilli, Benjamin Gutteridge, Rinita Dam, Theodoros Marinos, Yunpeng Li, Dickson Msaky, Emmanuel Kaindoa, Gerard Killeen, Eva Herreros-Moya, Kathy Willis, Stephen J. Roberts

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

End-to-End Semi-supervised Learning for Differentiable Particle Filters.

Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Survey of Technologies for Building Trusted Networks.

Loganathan Parthipan, Liqun Chen, David Gérault, Yunpeng Li, Fei Liu, Christopher J. P. Newton, Donghui Wang

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Differentiable Particle Filters through Conditional Normalizing Flow.

Xiongjie Chen, Hao Wen, Yunpeng Li

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Bioacoustic detection with wavelet-conditioned convolutional neural networks.

Ivan Kiskin, Davide Zilli, Yunpeng Li, Marianne Sinka, Kathy Willis, Stephen J. Roberts

Neural Comput. Appl., 2020

2019

Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models.

Yunpeng Li, Soumyasundar Pal, Mark J. Coates

IEEE Trans. Signal Process., 2019

2018

Microwave breast cancer detection using time-frequency representations.

Hongchao Song, Yunpeng Li, Aidong Men

Medical Biol. Eng. Comput., 2018

BCCNet: Bayesian classifier combination neural network.

Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J. Roberts, Katherine J. Willis, Steven Reece

CoRR, 2018

Fast mosquito acoustic detection with field cup recordings: an initial investigation.

Yunpeng Li, Ivan Kiskin, Marianne Sinka, Davide Zilli, Henry Chan, Eva Herreros-Moya, Theeraphap Chareonviriyaphap, Rungarun Tisgratog, Kathy Willis, Stephen J. Roberts

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

Particle Filtering With Invertible Particle Flow.

Yunpeng Li, Mark Coates

IEEE Trans. Signal Process., 2017

Cost-sensitive detection with variational autoencoders for environmental acoustic sensing.

Yunpeng Li, Ivan Kiskin, Davide Zilli, Marianne Sinka, Henry C. B. Chan, Kathy Willis, Stephen J. Roberts

CoRR, 2017

Mosquito detection with low-cost smartphones: data acquisition for malaria research.

Yunpeng Li, Davide Zilli, Henry C. B. Chan, Ivan Kiskin, Marianne Sinka, Stephen J. Roberts, Kathy Willis

CoRR, 2017

Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation.

Yunpeng Li, Emily Porter, Adam Santorelli, Milica Popovic, Mark Coates

Biomed. Signal Process. Control., 2017

Particle flow SMC delta-GLMB filter.

Augustin-Alexandru Saucan, Yunpeng Li, Mark Coates

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sequential MCMC with invertible particle flow.

Yunpeng Li, Mark Coates

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Particle flow for particle filtering.

Yunpeng Li, Lingling Zhao, Mark Coates

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast particle flow particle filters via clustering.

Yunpeng Li, Mark Coates

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Cost-sensitive ensemble classifiers for microwave breast cancer detection.

Yunpeng Li, Adam Santorelli, Olivier Laforest, Mark Coates

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Particle flow auxiliary particle filter.

Yunpeng Li, Lingling Zhao, Mark Coates

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2013

Radio-Frequency Tomography for Passive Indoor Multitarget Tracking.

Santosh Nannuru, Yunpeng Li, Yan Zeng, Mark Coates, Bo Yang

IEEE Trans. Mob. Comput., 2013

2011

Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements.

Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men

Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Sequential Monte Carlo Radio-Frequency tomographic tracking.

Yunpeng Li, Xi Chen, Mark Coates, Bo Yang

Proceedings of the IEEE International Conference on Acoustics, 2011

RSS-based node localization in the presence of attenuating objects.

Andrea Edelstein, Xi Chen, Yunpeng Li, Michael G. Rabbat

Proceedings of the IEEE International Conference on Acoustics, 2011