On deterministic conditions for subspace clustering under missing data. - Wenqi Wang 001; Shuchin Aeron; Vaneet Aggarwal (ISIT, 2016)

Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (CoRR, 2016)

Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. - Wenlin Wang; Changyou Chen; Wenqi Wang 001; Piyush Rai; Lawrence Carin (CoRR, 2016)

Efficient Low Rank Tensor Ring Completion. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (ICCV, 2017)

Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (Pattern Recognit. Lett., 2017)

Topic Compositional Neural Language Model. - Wenlin Wang; Zhe Gan; Wenqi Wang 001; Dinghan Shen; Jiaji Huang; Wei Ping; Sanjeev Satheesh; Lawrence Carin (AISTATS, 2018)

Wide Compression: Tensor Ring Nets. - Wenqi Wang 001; Yifan Sun 001; Brian Eriksson; Wenlin Wang; Vaneet Aggarwal (CVPR, 2018)

Tensor Train Neighborhood Preserving Embedding. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (IEEE Trans. Signal Process., 2018)

An Optimal Transport Framework for Zero-Shot Learning. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Collaborative Filtering with A Synthetic Feedback Loop. - Wenlin Wang; Hongteng Xu; Ruiyi Zhang 002; Wenqi Wang 001; Lawrence Carin (CoRR, 2019)

Principal component analysis with tensor train subspace. - Wenqi Wang 001; Vaneet Aggarwal; Shuchin Aeron (Pattern Recognit. Lett., 2019)

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. - Wenlin Wang; Hongteng Xu; Zhe Gan; Bai Li 001; Guoyin Wang 002; Liqun Chen 001; Qian Yang 003; Wenqi Wang 001; Lawrence Carin (AAAI, 2020)

Zero-Shot Recognition via Optimal Transport. - Wenlin Wang; Hongteng Xu; Guoyin Wang 002; Wenqi Wang 001; Lawrence Carin (WACV, 2021)