Yichuan Tang

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 4

Top Topics

Prostate Biopsy

Ultrasound Images

Radiation Therapy

Top Venues

Medical Imaging: Image-Guided Procedures

IEEE Trans. Biomed. Eng.

Publications

Ashiqur Rahaman, Yichuan Tang, Shang Gao, Xihan Ma, Igor Sorokin, Haichong K. Zhang
Needle Aligned Ultrasound Image-Guided Access Through Dual-Segment Array. IEEE Trans. Biomed. Eng. 70 (9) (2023)
Yichuan Tang, Isaac Abouaf, Aditya Malik, Araceli B. Gonzalez, Arnav Mishra, Ryosuke Tsumura, Jakub T. Kaminski, Igor Sorokin, Haichong K. Zhang
Mirror-integrated ultrasound image-guided access. Medical Imaging: Image-Guided Procedures (2022)
Yichuan Tang
Towards Learning Multi-Agent Negotiations via Self-Play. ICCV Workshops (2019)
Margot Lisa-Jing Yann, Yichuan Tang
Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis. AAAI (2016)
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
Challenges in representation learning: A report on three machine learning contests. Neural Networks 64 (2015)
Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
Learning Generative Models with Visual Attention. NIPS (2014)
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
Challenges in Representation Learning: A report on three machine learning contests. CoRR (2013)
Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
Learning generative models with visual attention. CoRR (2013)
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
Challenges in Representation Learning: A Report on Three Machine Learning Contests. ICONIP (3) (2013)
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
Tensor Analyzers. ICML (3) (2013)
Yichuan Tang
Deep Learning using Support Vector Machines. CoRR (2013)
Yichuan Tang, Ruslan Salakhutdinov
Learning Stochastic Feedforward Neural Networks. NIPS (2013)
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
Deep Lambertian Networks. ICML (2012)
Yichuan Tang, Abdel-rahman Mohamed
Multiresolution Deep Belief Networks. AISTATS (2012)
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
Deep Mixtures of Factor Analysers CoRR (2012)
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
Robust Boltzmann Machines for recognition and denoising. CVPR (2012)
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
Deep Mixtures of Factor Analysers. ICML (2012)
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
A biologically realistic cleanup memory: Autoassociation in spiking neurons. Cogn. Syst. Res. 12 (2) (2011)
Yichuan Tang, Chris Eliasmith
Deep networks for robust visual recognition. ICML (2010)