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Convolution-enhanced Evolving Attention Networks


Dec 16, 2022
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

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* Extension of the previous work (arXiv:2102.12895). arXiv admin note: text overlap with arXiv:2102.12895 

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Differentiable Bilevel Programming for Stackelberg Congestion Games


Sep 15, 2022
Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie

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MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering


Mar 17, 2022
Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu

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* Accepted by CVPR2022 

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ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification


Feb 19, 2022
Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu

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* This work has been accepted in Security, Privacy, and Trust track at The Web Conference 2022 (WWW'22)(see https://www2022.thewebconf.org/cfp/research/security/

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Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering


Jul 04, 2021
Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng

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* In ICASSP2021 

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MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension


Mar 08, 2021
Wei Peng, Yue Hu, Jing Yu, Luxi Xing, Yuqiang Xie, Zihao Zhu, Yajing Sun

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* Accepted to ICASSP 2021 

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Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees


Mar 07, 2021
Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong

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* EACL2021 

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Evolving Attention with Residual Convolutions


Feb 20, 2021
Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

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End-to-End Learning and Intervention in Games


Oct 26, 2020
Jiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang

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* To be published in Advances in Neural Information Processing Systems 33 (NeurIPS 2020) 

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