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Sparsity-guided Network Design for Frame Interpolation


Sep 09, 2022
Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence. The corresponding CVPR paper can be found at arXiv:2103.10559 

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RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution


Mar 27, 2022
Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov


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On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features


Mar 12, 2022
Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu


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Only Train Once: A One-Shot Neural Network Training And Pruning Framework


Jul 15, 2021
Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

* Under Review 

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A Geometric Analysis of Neural Collapse with Unconstrained Features


May 06, 2021
Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

* 42 pages, 8 figures, 1 table; the first two authors contributed to this work equally 

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CDFI: Compression-Driven Network Design for Frame Interpolation


Mar 28, 2021
Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov

* To appear in the proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 

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Neural Network Compression Via Sparse Optimization


Nov 11, 2020
Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu


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Early Detection of Sepsis using Ensemblers


Oct 20, 2020
Shailesh Nirgudkar, Tianyu Ding

* 2019 Computing in Cardiology 

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Orthant Based Proximal Stochastic Gradient Method for $\ell_1$-Regularized Optimization


Apr 07, 2020
Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Sheng Yi, Xiao Tu, Zhihui Zhu


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