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Wei Ye

Modeling Human-AI Team Decision Making

Jan 08, 2022
Wei Ye, Francesco Bullo, Noah Friedkin, Ambuj K Singh

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* 12 pages, preprint

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Frequency-Aware Contrastive Learning for Neural Machine Translation

Dec 29, 2021
Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao

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* Published at AAAI 2022

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Deep Embedded K-Means Clustering

Sep 30, 2021
Wengang Guo, Kaiyan Lin, Wei Ye

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Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting

Jul 12, 2021
Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang

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* Accepted at SIGIR2021

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Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder

Jul 01, 2021
Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu

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* ACL-IJCNLP 2021

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Multi-view Inference for Relation Extraction with Uncertain Knowledge

Apr 28, 2021
Bo Li, Wei Ye, Canming Huang, Shikun Zhang

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* Published at AAAI 2021, full paper

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Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach

Mar 30, 2021
Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang

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* Accepted in ICPC 2021(https://conf.researchr.org/details/icpc-2021/icpc-2021-research/13/Exploiting-Method-Names-to-Improve-Code-Summarization-A-Deliberation-Multi-Task-Lear)

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DeepMap: Learning Deep Representations for Graph Classification

Apr 05, 2020
Wei Ye, Omid Askarisichani, Alex Jones, Ambuj Singh

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* arXiv admin note: text overlap with arXiv:2002.09846

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Incorporating User's Preference into Attributed Graph Clustering

Mar 24, 2020
Wei Ye, Dominik Mautz, Christian Boehm, Ambuj Singh, Claudia Plant

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Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning

Feb 25, 2020
Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang

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* Published at The Web Conference (WWW) 2020, full paper

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Tree++: Truncated Tree Based Graph Kernels

Feb 23, 2020
Wei Ye, Zhen Wang, Rachel Redberg, Ambuj Singh

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