Part of the Physical Sciences and Mathematics Commons

Works by Zhiqiang Shen in Physical Sciences and Mathematics

2024

SDQ: Stochastic Differentiable Quantization with Mixed Precision, Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang Ting Cheng
Eric P. Xing

2023

Stereo Neural Vernier Caliper, Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang Ting Cheng
Zhiqiang Shen

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Zhiqiang Shen

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Zhiqiang Shen

Data-Free Neural Architecture Search via Recursive Label Calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner
Eric P. Xing

Data-Free Neural Architecture Search via Recursive Label Calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner
Zhiqiang Shen

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Zhiqiang Shen

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Zhiqiang Shen

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Eric P. Xing

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Eric P. Xing

2022

Data-Free Neural Architecture Search via Recursive Label Calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Machine Learning Faculty Publications

Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, Eric Xing
Machine Learning Faculty Publications

A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen, Eric Xing
Machine Learning Faculty Publications

SDQ: Stochastic Differentiable Quantization with Mixed Precision, Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric Xing, Kwang Ting Cheng
Machine Learning Faculty Publications

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Stereo Neural Vernier Caliper, Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang Ting Cheng
Machine Learning Faculty Publications

Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Eric P. Xing

Data-free neural architecture search via recursive label calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Eric P. Xing

2021

Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Machine Learning Faculty Publications

Latent Memory-augmented Graph Transformer for Visual Storytelling, Mengshi Qi, Jie Qin, DI Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo
Machine Learning Faculty Publications

2020

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning, Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Xing
Machine Learning Faculty Publications