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EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

Nov 23, 2020
Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

* 4 pages 

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Using simulation to incorporate dynamic criteria into multiple criteria decision-making

Nov 16, 2020
Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li

* Journal of the Operational Research Society, Volume 69, Issue 7, Pages 1021-1032 

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DisenE: Disentangling Knowledge Graph Embeddings

Nov 12, 2020
Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang

* There are some mistakes in the paper 

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Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training

Oct 23, 2020
Wenrui Zhang, Peng Li

* 9 pages, 3 figures 

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MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

Oct 10, 2020
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou


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Disentangle-based Continual Graph Representation Learning

Oct 06, 2020
Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang


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WeChat Neural Machine Translation Systems for WMT20

Oct 05, 2020
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou

* Accepted at WMT 2020. Our Chinese to English system achieved the highest case-sensitive BLEU score among all submissions 

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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Oct 05, 2020
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

* Accepted by EMNLP 2020 

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Oct 01, 2020
Yusheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun


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Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation

Jun 09, 2020
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* This work has been accepted for publication at ACL2020 

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FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

May 29, 2020
Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang

* 10 pages, to be published in SIGIR20 Industry Track 

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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

May 12, 2020
Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang


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Making Robots Draw A Vivid Portrait In Two Minutes

May 12, 2020
Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang

* 7 pages, 7 figures 

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MAVEN: A Massive General Domain Event Detection Dataset

Apr 28, 2020
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

* 9 pages, 2 figures; Work in progress 

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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction

Apr 07, 2020
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou


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Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Feb 24, 2020
Wenrui Zhang, Peng Li


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Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient

Jan 01, 2020
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie


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DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

Dec 18, 2019
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou

* Accepted at AAAI 2020 

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AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization

Nov 27, 2019
Xiao-Yu Zhang, Changsheng Li, Haichao Shi, Xiaobin Zhu, Peng Li, Jing Dong


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Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks

Nov 10, 2019
Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun

* 8 pages 

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Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information

Nov 06, 2019
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* 12 pages, 5 figures 

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Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

Nov 03, 2019
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie


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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

Oct 16, 2019
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* Accepted to EMNLP2019 

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NumNet: Machine Reading Comprehension with Numerical Reasoning

Oct 15, 2019
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu

* Accepted to EMNLP2019; 11 pages, 2 figures, 6 tables 

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Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes

Sep 10, 2019
Changqing Xu, Wenrui Zhang, Yu Liu, Peng Li


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Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Sep 07, 2019
Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun

* 8 pages, 7 Figures and 5 Tables 

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Quantifying and Correlating Rhythm Formants in Speech

Sep 03, 2019
Dafydd Gibbon, Peng Li

* 6 pagers, 7 figures, 2 tables, accepted: LPSS (Linguistic Properties of Spontaneous Speech, Taipei 2019) 

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Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks

Aug 18, 2019
Wenrui Zhang, Peng Li

* Submitted to NeurIPS 2019 

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