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Chenglin Li

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation

Nov 22, 2022
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang li, Guoqiang Shu, Xiaohu Qie, Di Niu

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* 9 pages, accepted by WSDM 2023

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Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning

Jun 06, 2022
Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong

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* 16 pages, 7 figures, submitted to IEEE Trans. Signal Process. arXiv admin note: text overlap with arXiv:2109.08933

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Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks

May 05, 2022
Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong

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* 109 pages, 16 figures; this is a draft and the final version has been accepted by TPAMI (DOI: 10.1109/TPAMI.2022.3172214)

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RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

Nov 19, 2021
Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu

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* 11 pages, 2 figures, 4 tables, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

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