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2020 – today
- 2024
[j12]Yawen Wu
, Liming Ling, Yubin Huang:
A failure-informed multi-stage training algorithm for three-component nonlinear Schrödinger equation. Comput. Math. Appl. 169: 132-141 (2024)- [j11]Ching-Hao Chiu, Yu-Jen Chen, Yawen Wu, Yiyu Shi, Tsung-Yi Ho:
Achieve fairness without demographics for dermatological disease diagnosis. Medical Image Anal. 95: 103188 (2024) - [c27]Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang:
Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. MICCAI (2) 2024: 378-388 - [i22]Ching-Hao Chiu, Yu-Jen Chen, Yawen Wu, Yiyu Shi, Tsung-Yi Ho:
Achieve Fairness without Demographics for Dermatological Disease Diagnosis. CoRR abs/2401.08066 (2024) - [i21]Sheng Li, Geng Yuan, Yawen Wu, Yue Dai, Chao Wu, Alex K. Jones, Jingtong Hu, Yanzhi Wang, Xulong Tang:
EdgeOL: Efficient in-situ Online Learning on Edge Devices. CoRR abs/2401.16694 (2024) - [i20]Xinrong Hu, Dewen Zeng, Yawen Wu, Xueyang Li, Yiyu Shi:
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning. CoRR abs/2408.05889 (2024) - [i19]Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi:
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. CoRR abs/2408.08228 (2024) - [i18]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Yiyu Shi:
Contrastive Learning with Synthetic Positives. CoRR abs/2408.16965 (2024) - [i17]Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang:
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. CoRR abs/2409.13853 (2024) - 2023
- [j10]Jiahe Shi, Yawen Wu, Dewen Zeng, Jun Tao, Jingtong Hu, Yiyu Shi:
Self-Supervised On-Device Federated Learning From Unlabeled Streams. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4871-4882 (2023) - [j9]Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42(10): 3025-3035 (2023) - [c26]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning. AAAI 2023: 2866-2874 - [c25]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Additional Positive Enables Better Representation Learning for Medical Images. MICCAI (1) 2023: 119-129 - [c24]Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao:
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (6) 2023: 612-621 - [i16]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Additional Positive Enables Better Representation Learning for Medical Images. CoRR abs/2306.00112 (2023) - 2022
- [j8]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Distributed contrastive learning for medical image segmentation. Medical Image Anal. 81: 102564 (2022) - [j7]Yawen Wu, Saba J. Al-Jumaili, Dhiya Al-Jumeily, Haiyi Bian:
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 22(22): 8626 (2022) - [j6]Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu:
Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 76-90 (2022) - [j5]Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu:
Enabling Weakly Supervised Temporal Action Localization From On-Device Learning of the Video Stream. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3910-3921 (2022) - [j4]Yuyang Li, Yawen Wu, Xincheng Zhang, Jingtong Hu, Inhee Lee:
Energy-Aware Adaptive Multi-Exit Neural Network Inference Implementation for a Millimeter-Scale Sensing System. IEEE Trans. Very Large Scale Integr. Syst. 30(7): 849-859 (2022) - [c23]Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The larger the fairer?: small neural networks can achieve fairness for edge devices. DAC 2022: 163-168 - [c22]Kacper Wardega, Wenchao Li, Hyoseung Kim, Yawen Wu, Zhenge Jia, Jingtong Hu:
Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices. DATE 2022: 1093-1098 - [c21]Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Decentralized Unsupervised Learning of Visual Representations. IJCAI 2022: 2326-2333 - [c20]Yawen Wu, Jingtong Hu:
Towards Independent On-device Artificial Intelligence. ISVLSI 2022: 351 - [c19]Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao:
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. MICCAI (2) 2022: 222-231 - [c18]Yawen Wu, Dewen Zeng, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis. MICCAI (1) 2022: 743-753 - [i15]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation. CoRR abs/2202.06464 (2022) - [i14]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning. CoRR abs/2202.07470 (2022) - [i13]Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices. CoRR abs/2202.11317 (2022) - [i12]Yawen Wu, Dewen Zeng, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis. CoRR abs/2203.02110 (2022) - [i11]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Volumetric Medical Image Segmentation. CoRR abs/2204.10983 (2022) - [i10]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Distributed Contrastive Learning for Medical Image Segmentation. CoRR abs/2208.03808 (2022) - [i9]Gelei Xu, Yawen Wu, Jingtong Hu, Yiyu Shi:
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization. CoRR abs/2208.11187 (2022) - [i8]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis. CoRR abs/2208.11278 (2022) - [i7]Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu:
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream. CoRR abs/2208.12673 (2022) - [i6]Jiahe Shi, Yawen Wu, Dewen Zeng, Jingtong Hu, Yiyu Shi:
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning. CoRR abs/2212.01006 (2022) - 2021
- [j3]Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu:
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. ACM Trans. Embed. Comput. Syst. 20(5s): 71:1-71:24 (2021) - [c17]Zhepeng Wang, Yawen Wu, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs. ASP-DAC 2021: 607-614 - [c16]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast. DAC 2021: 655-660 - [c15]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper). ICCAD 2021: 1-7 - [c14]Yuyang Li, Yawen Wu, Xincheng Zhang, Ehab A. Hamed, Jingtong Hu, Inhee Lee:
Developing a Miniature Energy-Harvesting-Powered Edge Device with Multi-Exit Neural Network. ISCAS 2021: 1-5 - [c13]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Positional Contrastive Learning for Volumetric Medical Image Segmentation. MICCAI (2) 2021: 221-230 - [c12]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 367-377 - [i5]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast. CoRR abs/2106.03796 (2021) - [i4]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Positional Contrastive Learning for Volumetric Medical Image Segmentation. CoRR abs/2106.09157 (2021) - [i3]Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Distributed Unsupervised Visual Representation Learning with Fused Features. CoRR abs/2111.10763 (2021) - 2020
- [j2]Liyan Sun, Yawen Wu, Binglin Shu, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A dual-domain deep lattice network for rapid MRI reconstruction. Neurocomputing 397: 94-107 (2020) - [j1]Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3445-3457 (2020) - [c11]Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. DAC 2020: 1-6 - [c10]Yawen Wu, Jingjing Wu, Gensheng Hu:
MMFS: A grape disease recognition method based on multi-feature fusion and SVM. ICCBDC 2020: 27-31 - [i2]Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. CoRR abs/2004.11293 (2020) - [i1]Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning. CoRR abs/2007.03213 (2020)
2010 – 2019
- 2019
- [c9]Yutong He, Lichuan Gu, Yawen Wu, Jun Jiao, Jialong Zhao, Shuanglong Zhang:
Image Restoration Of Reflective Area In Organs Of Diseased Pigs Based On Improved Criminisi Algorithm. CISP-BMEI 2019: 1-7 - [c8]Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu:
Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress. CODES+ISSS 2019: 15:1-15:2 - [c7]Zhenge Jia, Yawen Wu, Jingtong Hu:
Q-learning based routing for transiently powered wireless sensor network: work-in-progress. CODES+ISSS 2019: 16:1-16:2 - [c6]Jun Jiao, Wenzhou Wang, Yutong He, Yawen Wu, Feng Zhang, Lichuan Gu:
Adaptive Fuzzy Sliding Mode-Based Steering Control of Agricultural Tracked Robot. FSDM 2019: 243-254 - [c5]Fei Li, Hongyu Huang, Yawen Wu, Congbo Cai, Yue Huang, Xinghao Ding:
Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. ICASSP 2019: 1214-1218 - [c4]Mimi Xie, Yawen Wu, Zhenge Jia, Jingtong Hu:
In-memory AES Implementation for Emerging Non-Volatile Main Memory. ISVLSI 2019: 103 - 2018
- [c3]Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang, Xinghao Ding:
A Deep Ensemble Network for Compressed Sensing MRI. ICONIP (1) 2018: 162-171 - [c2]Chao Wang, Yawen Wu, Xinghao Ding, Yue Huang, Congbo Cai:
High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet. ICONIP (6) 2018: 408-418 - [c1]Yawen Wu, Yinan Sun, Zhenge Jia, Lefan Zhang, Yongpan Liu, Jingtong Hu:
Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper). RSP 2018: 49-55
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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