Soo-Hyun Choi

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 19

Top Venues

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data 6 (2024)
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM (2023)
Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM (2023)
Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM (2023)
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM (2023)
Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. 2023 (2023)
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. SIGKDD Explor. 25 (1) (2023)
Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Editable Graph Neural Network for Node Classifications. CoRR (2023)
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR (2022)
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR (2022)
Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI (2022)
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR (2022)
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. CoRR (2022)
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR (2021)
Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR (2021)
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS (2021)
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
Explainable Recommender Systems via Resolving Learning Representations. CIKM (2020)
Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
Explainable Recommender Systems via Resolving Learning Representations. CoRR (2020)
Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData (2019)
Soo-Hyun Choi, You-Hyeon Jeong
Fast Restoration Internetworking in Packet and Optical Networks. DRCN (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Soo-Hyun Choi