Deep networks for robust visual recognition. - Yichuan Tang; Chris Eliasmith (ICML, 2010)

A biologically realistic cleanup memory: Autoassociation in spiking neurons. - Terrence C. Stewart; Yichuan Tang; Chris Eliasmith (Cogn. Syst. Res., 2011)

Robust Boltzmann Machines for recognition and denoising. - Yichuan Tang; Ruslan Salakhutdinov; Geoffrey E. Hinton (CVPR, 2012)

Deep Mixtures of Factor Analysers. - Yichuan Tang; Ruslan Salakhutdinov; Geoffrey E. Hinton (ICML, 2012)

Deep Lambertian Networks. - Yichuan Tang; Ruslan Salakhutdinov; Geoffrey E. Hinton (ICML, 2012)

Multiresolution Deep Belief Networks. - Yichuan Tang; Abdel-rahman Mohamed (AISTATS, 2012)

Tensor Analyzers. - Yichuan Tang; Ruslan Salakhutdinov; Geoffrey E. Hinton (ICML (3), 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; et al. (ICONIP (3), 2013)

Learning Stochastic Feedforward Neural Networks. - Yichuan Tang; Ruslan Salakhutdinov (NIPS, 2013)

Deep Learning using Support Vector Machines. - Yichuan Tang (CoRR, 2013)

Learning Generative Models with Visual Attention. - Yichuan Tang; Nitish Srivastava; Ruslan Salakhutdinov (NIPS, 2014)

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; et al. (Neural Networks, 2015)

Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis. - Margot Lisa-Jing Yann; Yichuan Tang (AAAI, 2016)

Learning Generative Models Using Structured Latent Variables. - Yichuan Tang (2016)

Worst Cases Policy Gradients. - Yichuan Charlie Tang; Jian Zhang 050; Ruslan Salakhutdinov (CoRL, 2019)

Towards Learning Multi-Agent Negotiations via Self-Play. - Yichuan Tang (ICCV Workshops, 2019)

Multiple Futures Prediction. - Yichuan Charlie Tang; Ruslan Salakhutdinov (NeurIPS, 2019)

Relational Mimic for Visual Adversarial Imitation Learning. - Lionel Blondé; Yichuan Charlie Tang; Jian Zhang 050; Russ Webb (CoRR, 2019)

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 (Image-Guided Procedures, 2022)

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., 2023)

SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework. - Fangzhou Lin; Shang Gao; Yichuan Tang; Xihan Ma; Ryo Murakami; Ziming Zhang; John Obayemi; Winston (Wole) Oluwole Soboyejo; Haichong K. Zhang (CoRR, 2024)

Elevational Synthetic Aperture Focusing for Rotated Array-Based Three-Dimensional Ultrasound Imaging. - Ryo Murakami; Yang Wang 184; Yichuan Tang; Ryosuke Tsumura; Gregory S. Fischer; Haichong K. Zhang (IEEE Access, 2025)