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Chaojie Ji
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2020 – today
- 2024
- [i9]Chaojie Ji, Yufeng Li, Yiyi Liao:
REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices. CoRR abs/2403.16481 (2024) - [i8]Jian Xu, Chaojie Ji, Yankai Cao, Ye Li, Ruxin Wang:
Causality-inspired Latent Feature Augmentation for Single Domain Generalization. CoRR abs/2406.05980 (2024) - 2023
- [j9]Hongwei Chen, Yunpeng Cai, Chaojie Ji, Gurudeeban Selvaraj, Dongqing Wei, Hongyan Wu:
AdaPPI: identification of novel protein functional modules via adaptive graph convolution networks in a protein-protein interaction network. Briefings Bioinform. 24(1) (2023) - [j8]Chaojie Ji, Yijia Zheng, Ruxin Wang, Yunpeng Cai, Hongyan Wu:
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2323-2337 (2023) - [i7]Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao:
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. CoRR abs/2301.00061 (2023) - [i6]Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao:
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets. CoRR abs/2311.06952 (2023) - 2022
- [j7]Ruxin Wang, Shuyuan Chen, Chaojie Ji, Ye Li:
Cascaded context enhancement network for automatic skin lesion segmentation. Expert Syst. Appl. 201: 117069 (2022) - [j6]Chaojie Ji, Ruxin Wang, Hongyan Wu:
Perturb more, trap more: Understanding behaviors of graph neural networks. Neurocomputing 493: 59-75 (2022) - [j5]Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li:
Boundary-aware context neural network for medical image segmentation. Medical Image Anal. 78: 102395 (2022) - [j4]Chaojie Ji, Hongwei Chen, Ruxin Wang, Yunpeng Cai, Hongyan Wu:
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering. IEEE Trans. Cybern. 52(12): 12771-12784 (2022) - [j3]Ruxin Wang, Chaojie Ji, Yuxiao Zhang, Ye Li:
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. IEEE Trans. Neural Networks Learn. Syst. 33(1): 12-24 (2022) - 2021
- [j2]Ruxin Wang, Chaojie Ji, Zhiming Jiang, Yongsheng Wu, Ling Yin, Ye Li:
A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data. IEEE Trans. Comput. Soc. Syst. 8(4): 938-945 (2021) - [c1]Abdur Rasool, Qingshan Jiang, Qiang Qu, Chaojie Ji:
WRS: A Novel Word-embedding Method for Real-time Sentiment with Integrated LSTM-CNN Model. RCAR 2021: 590-595 - 2020
- [j1]Chaojie Ji, Hongyan Wu:
Cascade architecture with rhetoric long short-term memory for complex sentence sentiment analysis. Neurocomputing 405: 161-172 (2020) - [i5]Chaojie Ji, Ruxin Wang, Rongxiang Zhu, Yunpeng Cai, Hongyan Wu:
HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs. CoRR abs/2004.04333 (2020) - [i4]Chaojie Ji, Ruxin Wang, Hongyan Wu:
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks. CoRR abs/2004.09808 (2020) - [i3]Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li:
Boundary-aware Context Neural Network for Medical Image Segmentation. CoRR abs/2005.00966 (2020) - [i2]Chaojie Ji, Yijia Zheng, Ruxin Wang, Yunpeng Cai, Hongyan Wu:
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization. CoRR abs/2008.06246 (2020) - [i1]Chaojie Ji, Hongwei Chen, Ruxin Wang, Yunpeng Cai, Hongyan Wu:
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering. CoRR abs/2009.05743 (2020)
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last updated on 2024-10-07 22:05 CEST by the dblp team
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