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Publication search results
found 28 matches
- 2024
- Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang:
One For All: Towards Training One Graph Model For All Classification Tasks. ICLR 2024 - Hao Liu
, Jiarui Feng
, Lecheng Kong
, Dacheng Tao
, Yixin Chen
, Muhan Zhang
:
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. WWW 2024: 365-376 - Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang:
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. CoRR abs/2406.14683 (2024) - 2023
- Zhenlin Sun
, Miao Yu, Zhengxun Song, Weiwen Liu, Gangyao Xing, Muhan Zhou:
Optical Neural Network in Free-Space and Nanophotonics. IEEE Access 11: 88656-88669 (2023) - Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince:
DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue. MIDL 2023: 134-150 - Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS 2023 - Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang:
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS 2023 - Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu, Aaron Carass, Jonghye Woo, Jerry L. Prince:
Deep Unsupervised Phase-based 3D Incompressible Motion Estimation in Tagged-MRI. CoRR abs/2301.07234 (2023) - Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King:
Time Associated Meta Learning for Clinical Prediction. CoRR abs/2303.02570 (2023) - Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman. CoRR abs/2306.03266 (2023) - Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR abs/2308.02117 (2023) - Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang:
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. CoRR abs/2309.10376 (2023) - Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang:
One for All: Towards Training One Graph Model for All Classification Tasks. CoRR abs/2310.00149 (2023) - Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang:
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. CoRR abs/2310.19142 (2023) - Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin:
Fast and Interpretable Mortality Risk Scores for Critical Care Patients. CoRR abs/2311.13015 (2023) - 2022
- Muhan Na
, Rui Liu, Feilong Bao
, Guanglai Gao:
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion. ICONIP (6) 2022: 612-625 - Muhan Na, Rui Liu, Fei Long, Guanglai Gao:
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion. CoRR abs/2209.11963 (2022) - 2021
- Fatima Alsharadgah
, Abdallah Khreishah
, Mahmoud Al-Ayyoub, Yaser Jararweh, Guanxiong Liu, Issa Khalil, Muhannad Almutiry, Nasir Saeed
:
An Adaptive Black-box Defense against Trojan Attacks on Text Data. SNAMS 2021: 1-8 - Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song:
Efficient Dynamic Graph Representation Learning at Scale. CoRR abs/2112.07768 (2021) - 2020
- Ziliang Zhong, Muhang Zheng, Huafeng Mai, Jianan Zhao, Xinyi Liu:
Cancer image classification based on DenseNet model. CoRR abs/2011.11186 (2020) - 2018
- Yingfei Xiong, Xinyuan Liu, Muhan Zeng, Lu Zhang, Gang Huang:
Identifying patch correctness in test-based program repair. ICSE 2018: 789-799 - Dan Nguyen, Xun Jia, David J. Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, Steve B. Jiang:
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. CoRR abs/1805.10397 (2018) - 2017
- Hongbo Guo, Xiaowei He, Muhan Liu, Zeyu Zhang, Zhenhua Hu, Jie Tian
:
Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography. IEEE Trans. Medical Imaging 36(6): 1337-1346 (2017) - Xinyuan Liu, Muhan Zeng, Yingfei Xiong, Lu Zhang, Gang Huang:
Identifying Patch Correctness in Test-Based Automatic Program Repair. CoRR abs/1706.09120 (2017) - 2016
- Hongbo Liu, Kun Wang
, Dong Peng, Hui Li, Yukun Zhu, Shuang Zhang, Muhan Liu, Jie Tian:
Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography. IEEE Trans. Medical Imaging 35(12): 2546-2557 (2016) - Haixiao Liu, Zhenhua Hu, Muhan Liu, Jie Tian:
Forward-backward pursuit algorithm for Cerenkov luminescence tomography. EMBC 2016: 2889-2892 - 2014
- Daniel J. Esman, Andreas O. J. Wiberg
, Mu-Han Yang, Lan Liu, Bill P.-P. Kuo, Nikola Alic, Stojan Radic:
Photonic parametric sampled analog-to-digital conversion at 100 GHz and 6 ENOBs. ECOC 2014: 1-3 - 2007
- Hui Liu, Yinqing Zhou, Huaping Xu, Chunsheng Li, Muhan Sun, Guohui Liu:
The analysis and compensation for the unwrapped phase error raised by the dynamic baseline of DSS-INSAR. IGARSS 2007: 540-542
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