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Yiqun Hui
Publications - 4
Citations - 125
Yiqun Hui is an academic researcher. The author has contributed to research in topics: Core (graph theory) & Computer science. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.
Papers
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Proceedings ArticleDOI
Sequential Recommendation with Graph Neural Networks
TL;DR: Wang et al. as mentioned in this paper proposed a graph neural network model called SURGE (short forSeqUential Recommendation with Graph neural nEtworks) to address two main challenges in sequential recommendation.
Journal ArticleDOI
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
TL;DR: In this article , the authors proposed a plug-and-play approach for multi-domain and multi-task recommendation based on personalized prior information as input and dynamically scaled the bottom-level Embedding and top-level DNN hidden units through gate mechanisms.
Journal ArticleDOI
TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou
Jia Wei Chang,Chenbin Zhang,Zhiyi Fu,Xiaoxue Zang,Lin Guan,Jing Lu,Yiqun Hui,Dewei Leng,Yanan Niu,Yang Song,Kun Gai +10 more
TL;DR: Wang et al. as discussed by the authors proposed a two-stage interest network (TWIN), which adopts the identical target-behavior relevance metric as the TA in ESU, making the two stages twins.
Posted Content
Sequential Recommendation with Graph Neural Networks
TL;DR: Wang et al. as discussed by the authors proposed a graph neural network model called SURGE (short for SeqUential Recommendation with Graph neural nEtworks) to address two main challenges in sequential recommendation.