Yichuan Tang

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

Collaborative distances:

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

2023

Needle Aligned Ultrasound Image-Guided Access Through Dual-Segment Array.

Ashiqur Rahaman, Yichuan Tang, Shang Gao, Xihan Ma, Igor Sorokin, Haichong K. Zhang

IEEE Trans. Biomed. Eng., September, 2023

2022

Mirror-integrated ultrasound image-guided access.

Yichuan Tang, Isaac Abouaf, Aditya Malik, Araceli B. Gonzalez, Arnav Mishra, Ryosuke Tsumura, Jakub T. Kaminski, Igor Sorokin, Haichong K. Zhang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2019

Relational Mimic for Visual Adversarial Imitation Learning.

Lionel Blondé, Yichuan Charlie Tang, Jian Zhang, Russ Webb

CoRR, 2019

Multiple Futures Prediction.

Yichuan Charlie Tang, Ruslan Salakhutdinov

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.

Yichuan Tang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Worst Cases Policy Gradients.

Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2016

Learning Generative Models Using Structured Latent Variables.

Yichuan Tang

PhD thesis, 2016

Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis.

Margot Lisa-Jing Yann, Yichuan Tang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Challenges in representation learning: A report on three machine learning contests.

Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

Neural Networks, 2015

2014

Learning Generative Models with Visual Attention.

Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov

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.

Yichuan Tang

CoRR, 2013

Learning Stochastic Feedforward Neural Networks.

Yichuan Tang, Ruslan Salakhutdinov

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

Challenges in Representation Learning: A Report on Three Machine Learning Contests.

Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Tensor Analyzers.

Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton

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

2012

Multiresolution Deep Belief Networks.

Yichuan Tang, Abdel-rahman Mohamed

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Deep Lambertian Networks.

Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton

Proceedings of the 29th International Conference on Machine Learning, 2012

Deep Mixtures of Factor Analysers.

Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton

Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Boltzmann Machines for recognition and denoising.

Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A biologically realistic cleanup memory: Autoassociation in spiking neurons.

Terrence C. Stewart, Yichuan Tang, Chris Eliasmith

Cogn. Syst. Res., 2011

2010

Deep networks for robust visual recognition.

Yichuan Tang, Chris Eliasmith

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010