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Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights


May 24, 2023
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan

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TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders


Mar 14, 2023
Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen

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* Submitted to IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(TKDE), under review 

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FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification


Feb 20, 2023
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen

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* Accepted by WWW'23 as a conference paper 

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ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification


Feb 10, 2023
Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li

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One Person, One Model--Learning Compound Router for Sequential Recommendation


Nov 14, 2022
Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen

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* Accepted by ICDM'22 as a long paper 

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Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF


Nov 09, 2022
Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen

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TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback


Jun 13, 2022
Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li

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Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification


May 18, 2022
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen

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* 11 pages, 7 figures, Sigir 2022 

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