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Longxiang Gao
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From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding


Mar 22, 2023
Borui Cai, Yong Xiang, Longxiang Gao, Di Wu, He Zhang, Jiong Jin, Tom Luan

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Hybrid Variational Autoencoder for Time Series Forecasting


Mar 13, 2023
Borui Cai, Shuiqiao Yang, Longxiang Gao, Yong Xiang

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An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation


Aug 30, 2022
Chenhao Xu, Youyang Qu, Tom H. Luan, Peter W. Eklund, Yong Xiang, Longxiang Gao

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Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting


Apr 05, 2022
Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang

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* Accepted by ICME2022 
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Temporal Knowledge Graph Completion: A Survey


Jan 16, 2022
Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, Jianxin Li

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Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles


Dec 28, 2021
Jinkai Zheng, Tom H. Luan, Longxiang Gao, Yao Zhang, Yuan Wu

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Semantic Code Search for Smart Contracts


Nov 28, 2021
Chaochen Shi, Yong Xiang, Jiangshan Yu, Longxiang Gao

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Prototypes-Guided Memory Replay for Continual Learning


Aug 28, 2021
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang

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Federated Learning Meets Natural Language Processing: A Survey


Jul 27, 2021
Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang

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* 19 pages 
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