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Ziyu Jiang

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How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?

Aug 17, 2023
Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang

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Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

Apr 06, 2023
Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang

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Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations

Feb 27, 2023
Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang

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Sharper analysis of sparsely activated wide neural networks with trainable biases

Jan 01, 2023
Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang

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M$^3$ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Oct 26, 2022
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

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Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study

Aug 29, 2022
Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang

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Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling

Nov 01, 2021
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

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Self-Damaging Contrastive Learning

Jun 06, 2021
Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

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Robust Pre-Training by Adversarial Contrastive Learning

Oct 26, 2020
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

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E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings

Dec 06, 2019
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

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