Heterogeneous feature machines for visual recognition. - Liangliang Cao; Jiebo Luo 001; Feng Liang 002; Thomas S. Huang (ICCV, 2009)

Hierarchical Gaussianization for image classification. - Xi Zhou; Na Cui; Zhen Li 028; Feng Liang 002; Thomas S. Huang (ICCV, 2009)

Pairwise Exemplar Clustering. - Yingzhen Yang; Xinqi Chu; Feng Liang 002; Thomas S. Huang (AAAI, 2012)

Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. - Po-Sen Huang; Jianchao Yang; Mark Hasegawa-Johnson; Feng Liang 002; Thomas S. Huang (INTERSPEECH, 2012)

Learning Locally-Adaptive Decision Functions for Person Verification. - Zhen Li 028; Shiyu Chang; Feng Liang 002; Thomas S. Huang; Liangliang Cao; John R. Smith (CVPR, 2013)

Discriminative Exemplar clustering. - Yingzhen Yang; Feng Liang 002; Thomas S. Huang (ICASSP, 2014)

On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification. - Yingzhen Yang; Feng Liang 002; Shuicheng Yan; Zhangyang Wang; Thomas S. Huang (NIPS, 2014)

Discriminative Similarity for Clustering and Semi-Supervised Learning. - Yingzhen Yang; Feng Liang 002; Nebojsa Jojic; Shuicheng Yan; Jiashi Feng; Thomas S. Huang (CoRR, 2017)

Complementary dimension reduction. - Na Cui; Jianjun Hu; Feng Liang 002 (Stat. Anal. Data Min., 2021)

Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain. - Christopher Qian; Tyler Ganter; Joshua Michalenko; Feng Liang 002; Jason Adams (Stat. Anal. Data Min., 2024)

Regression Recalibration by Learning PIT Map Values. - Christopher Qian; Daniel Ries; Feng Liang 002; Jason Adams (Technometrics, 2025)