| 2021 | BMVC | Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. | Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin |
| 2021 | ICANN | Training Many-to-Many Recurrent Neural Networks with Target Propagation. | Peilun Dai, Sang Chin |
| 2020 | IJCNN | NodeDrop: A Method for Finding Sufficient Network Architecture Size. | Louis Jensen, Jacob Harer, Sang Chin |
| 2019 | IJCAI | Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. | Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin |
| 2015 | CISS | High-speed compressed sensing measurement using spectrally-encoded ultrafast laser pulses. | Bryan T. Bosworth, Jasper R. Stroud, Dung N. Tran, Trac D. Tran, Sang Chin, Mark A. Foster |
| 2015 | CISS | Markov Chain Monte Carlo inference on graphical models using event-based processing on the SpiNNaker neuromorphic architecture. | Daniel R. Mendat, Sang Chin, Steve B. Furber, Andreas G. Andreou |
| 2015 | ISAAC | Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty. | Andrew Mastin, Patrick Jaillet, Sang Chin |
| 2015 | ISCAS | An unsupervised dictionary learning algorithm for neural recordings. | Tao Xiong, Jie Zhang, Yuanming Suo, Dung N. Tran, Ralph Etienne-Cummings, Sang Chin, Trac D. Tran |
| 2013 | ICASSP | Video frame interpolation via weighted robust principal component analysis. | Minh Dao, Yuanming Suo, Sang Chin, Trac D. Tran |
| 2012 | VCIP | A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. | Guangliang Chen, Mark A. Iwen, Sang Chin, Mauro Maggioni |