Ziyu Jiang

发表

E-Train: Training State-of-the-art CNNs with Over 80% Less Energy

Pengfei Xu, Zhangyang Wang, Yue Wang, 2019 .

A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images

Zhangyang Wang, Xiaoning Qian, W. Lober, 2019, Surgical infections.

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

Pengfei Xu, Zhangyang Wang, Yue Wang, 2019, NeurIPS.

Learning Skip Map For Efficient Ultra-High Resolution Image Segmentation

Zixiang Xiong, Ziyu Jiang, Pengcheng Pi, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Zhangyang Wang, Kai Zou, Yu Cheng, 2022, NeurIPS.

Sharper analysis of sparsely activated wide neural networks with trainable biases

Zhangyang Wang, Yingbin Liang, Ziyu Jiang, 2023 .

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment

Zhangyang Wang, Yu Cheng, Ziyu Jiang, 2022, ECCV.

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling

Zhangyang Wang, Ting Chen, Ziyu Jiang, 2021, NeurIPS.

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

Xiyang Dai, Mengchen Liu, Yinpeng Chen, 2023, ICLR.

Self-Damaging Contrastive Learning pdf

Zhangyang Wang, Ziyu Jiang, Tianlong Chen, 2021, ICML.

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

Thomas C. Shen, Yifan Peng, Ziyu Jiang, 2022, DALI@MICCAI.

Robust Pre-Training by Adversarial Contrastive Learning pdf

Ting Chen, Tianlong Chen, Zhangyang Wang, 2020, NeurIPS.

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Xiaoning Qian, Zhangyang Wang, Ziyu Jiang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Ziyu Jiang, Haotao Wang, Zhangyang Wang, 2023, ArXiv.

Convergence and Generalization of Wide Neural Networks with Large Bias

Zhangyang Wang, Yingbin Liang, Ziyu Jiang, 2023, ArXiv.

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

Zhangyang Wang, Ziyu Jiang, Ting Chen, 2021, ArXiv.

Image Encryption Algorithm Based on Discrete Quantum Baker Map and Chen Hyperchaotic System

Ziyu Jiang, Xingbin Liu, 2023, International Journal of Theoretical Physics.

Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations

Zhangyang Wang, Buyu Liu, Manmohan Chandraker, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CE-PeopleSeg: Real-time people segmentation with 10% CPU usage for video conference

Xueqin Huang, Ziyu Jiang, Zhenhua He, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation

Denny Zhou, Ziyu Jiang, Xuxi Chen, 2022, NeurIPS.

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

Ziyu Jiang, Haotao Wang, Zhangyang Wang, 2023, NeurIPS.

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

Thomas C. Shen, Ziyu Jiang, A. Legasto, 2023, MICCAI.

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

Thomas C. Shen, Yifan Peng, Sharon Steinberger, 2023, ArXiv.

CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning

Guoqing Zheng, Ziyu Jiang, A. Awadallah, 2022 .