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Yingxue Zhang

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Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization

Feb 02, 2024
Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang

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TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models

Nov 14, 2023
Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou

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Multi-resolution Time-Series Transformer for Long-term Forecasting

Nov 07, 2023
Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

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Towards Automated Negative Sampling in Implicit Recommendation

Nov 06, 2023
Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu

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Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

Aug 15, 2023
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma

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Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems

May 02, 2023
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

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Dynamically Expandable Graph Convolution for Streaming Recommendation

Mar 21, 2023
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma

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Compressed Interaction Graph based Framework for Multi-behavior Recommendation

Mar 04, 2023
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang

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A Survey on User Behavior Modeling in Recommender Systems

Feb 22, 2023
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang

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