Yawen Wu

Orcid: 0000-0001-6840-267X

According to our database1, Yawen Wu authored at least 50 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Achieve fairness without demographics for dermatological disease diagnosis.
Medical Image Anal., 2024

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective.
CoRR, 2024

Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning.
CoRR, 2024

EdgeOL: Efficient in-situ Online Learning on Edge Devices.
CoRR, 2024

A failure-informed multi-stage training algorithm for three-component nonlinear Schrödinger equation.
Comput. Math. Appl., 2024

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Contrastive Learning with Synthetic Positives.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Self-Supervised On-Device Federated Learning From Unlabeled Streams.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.
IEEE Trans. Medical Imaging, October, 2023

Additional Positive Enables Better Representation Learning for Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Energy-Aware Adaptive Multi-Exit Neural Network Inference Implementation for a Millimeter-Scale Sensing System.
IEEE Trans. Very Large Scale Integr. Syst., 2022

Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Enabling Weakly Supervised Temporal Action Localization From On-Device Learning of the Video Stream.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression.
Sensors, 2022

Distributed contrastive learning for medical image segmentation.
Medical Image Anal., 2022

FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning.
CoRR, 2022

Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis.
CoRR, 2022

Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization.
CoRR, 2022

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning.
CoRR, 2022

Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation.
CoRR, 2022

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Towards Independent On-device Artificial Intelligence.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Decentralized Unsupervised Learning of Visual Representations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

The larger the fairer?: small neural networks can achieve fairness for edge devices.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices.
ACM Trans. Embed. Comput. Syst., 2021

Distributed Unsupervised Visual Representation Learning with Fused Features.
CoRR, 2021

Positional Contrastive Learning for Volumetric Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Federated Contrastive Learning for Volumetric Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Developing a Miniature Energy-Harvesting-Powered Edge Device with Multi-Exit Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper).
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

A dual-domain deep lattice network for rapid MRI reconstruction.
Neurocomputing, 2020

MMFS: A grape disease recognition method based on multi-feature fusion and SVM.
Proceedings of the ICCBDC '20: 2020 4th International Conference on Cloud and Big Data Computing, 2020

Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
In-memory AES Implementation for Emerging Non-Volatile Main Memory.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit.
Proceedings of the IEEE International Conference on Acoustics, 2019

Adaptive Fuzzy Sliding Mode-Based Steering Control of Agricultural Tracked Robot.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

Q-learning based routing for transiently powered wireless sensor network: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

Image Restoration Of Reflective Area In Organs Of Diseased Pigs Based On Improved Criminisi Algorithm.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper).
Proceedings of the 2018 International Symposium on Rapid System Prototyping, 2018

A Deep Ensemble Network for Compressed Sensing MRI.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet.
Proceedings of the Neural Information Processing - 25th International Conference, 2018


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