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Keting Cen
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2020 – today
- 2024
- [j5]Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024) - [j4]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024) - 2022
- [j3]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng:
Location-aware convolutional neural networks for graph classification. Neural Networks 155: 74-83 (2022) - [c6]Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9 - [i3]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR abs/2211.10929 (2022) - 2020
- [c5]Rong Yan, Huawei Shen, Qi Cao, Keting Cen, Li Wang:
GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. BigComp 2020: 315-322 - [i2]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020)
2010 – 2019
- 2019
- [j2]Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen:
User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. Data Intell. 1(2): 137-159 (2019) - [c4]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934 - [i1]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019) - 2017
- [c3]Margaret Drouhard, Nan-Chen Chen, Jina Suh, Rafal Kocielnik, Vanessa Peña Araya, Keting Cen, Xiangyi Zheng, Cecilia R. Aragon:
Aeonium: Visual analytics to support collaborative qualitative coding. PacificVis 2017: 220-229 - [c2]Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng:
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. CIKM 2017: 1149-1158 - 2016
- [c1]Cynthia L. Bennett, Keting Cen, Katherine Muterspaugh Steele, Daniela K. Rosner:
An Intimate Laboratory?: Prostheses as a Tool for Experimenting with Identity and Normalcy. CHI 2016: 1745-1756 - 2015
- [j1]Bin He, Yi Guan, Jianyi Cheng, Keting Cen, Wenlan Hua:
CRFs based de-identification of medical records. J. Biomed. Informatics 58: S39-S46 (2015)
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