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Chenliang Li

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

Jun 04, 2021
Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang

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* ACL2021 main conference

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StructuralLM: Structural Pre-training for Form Understanding

May 24, 2021
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

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* Accepted by ACL2021 main conference

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Path-based Deep Network for Candidate Item Matching in Recommenders

May 18, 2021
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang

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* Accepted for publication in SIGIR2021

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SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels

Mar 14, 2021
Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang

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* 10 pages, 4 figures

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CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network

May 23, 2020
Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun

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* Accepted to SIGIR 2020

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MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization

May 23, 2020
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li

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* Accepted as a long paper at ACL 2020

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PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

Apr 14, 2020
Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang

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* arXiv admin note: text overlap with arXiv:1910.10683, arXiv:1910.13461 by other authors

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CASE: Context-Aware Semantic Expansion

Dec 31, 2019
Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi

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* Accepted by AAAI 2020

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