Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process. - Zuoguan Wang; Qiang Ji; Kai J. Miller; Gerwin Schalk (ICPR, 2010)

An EEG workload classifier for multiple subjects. - Ziheng Wang 001; Ryan M. Hope; Zuoguan Wang; Qiang Ji; Wayne D. Gray (EMBC, 2011)

Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals. - Zuoguan Wang; Gerwin Schalk; Qiang Ji (NIPS, 2011)

Learning with Target Prior. - Zuoguan Wang; Siwei Lyu; Gerwin Schalk; Qiang Ji (NIPS, 2012)

Cross-subject workload classification with a hierarchical Bayes model. - Ziheng Wang 001; Ryan M. Hope; Zuoguan Wang; Qiang Ji; Wayne D. Gray (NeuroImage, 2012)

Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines. - Yue Wu 002; Zuoguan Wang; Qiang Ji (CVPR, 2013)

Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI. - Zuoguan Wang; Siwei Lyu; Gerwin Schalk; Qiang Ji (IJCAI, 2013)

Online Smart Face Morphing Engine with Prior Constraints and Local Geometry Preservation. - Quan Wang; Yu Wang; Zuoguan Wang (MPRSS, 2014)

Feedback Learning for Improving the Robustness of Neural Networks. - Chang Song 001; Zuoguan Wang; Hai Li 001 (ICMLA, 2019)

Joint Regularization on Activations and Weights for Efficient Neural Network Pruning. - Qing Yang 011; Wei Wen; Zuoguan Wang; Hai Li 001 (ICMLA, 2019)

DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement. - Qing Yang 011; Jiachen Mao; Zuoguan Wang; Hai Li 001 (ICTAI, 2019)

Joint Pruning on Activations and Weights for Efficient Neural Networks. - Qing Yang 011; Wei Wen; Zuoguan Wang; Hai Li 001 (CoRR, 2019)

Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement. - Qing Yang 011; Jiachen Mao; Zuoguan Wang; Hai (Helen) Li (ACM J. Emerg. Technol. Comput. Syst., 2021)

Online Map Vectorization for Autonomous Driving: A Rasterization Perspective. - Gongjie Zhang; Jiahao Lin; Shuang Wu 002; Yilin Song; Zhipeng Luo; Yang Xue; Shijian Lu; Zuoguan Wang (NeurIPS, 2023)