Yichuan Tang

Orcid: 0000-0003-1681-5944

According to our database1, Yichuan Tang authored at least 20 papers between 2010 and 2023.

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Bibliography

2023
Needle Aligned Ultrasound Image-Guided Access Through Dual-Segment Array.
IEEE Trans. Biomed. Eng., September, 2023

2022
Mirror-integrated ultrasound image-guided access.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2019
Relational Mimic for Visual Adversarial Imitation Learning.
CoRR, 2019

Multiple Futures Prediction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Learning Multi-Agent Negotiations via Self-Play.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Worst Cases Policy Gradients.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2016
Learning Generative Models Using Structured Latent Variables.
PhD thesis, 2016

Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Challenges in representation learning: A report on three machine learning contests.
Neural Networks, 2015

2014
Learning Generative Models with Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Deep Learning using Support Vector Machines.
CoRR, 2013

Learning Stochastic Feedforward Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013


Tensor Analyzers.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Multiresolution Deep Belief Networks.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Deep Lambertian Networks.
Proceedings of the 29th International Conference on Machine Learning, 2012

Deep Mixtures of Factor Analysers.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Boltzmann Machines for recognition and denoising.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A biologically realistic cleanup memory: Autoassociation in spiking neurons.
Cogn. Syst. Res., 2011

2010
Deep networks for robust visual recognition.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


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