Multi-step-ahead Prediction from Short-term Data by Delay-embedding-based Forecast Machine

May 16, 2020
Hao Peng, Pei Chen, Rui Liu

* 18 pages, 6 figures 

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A Mixture of $h-1$ Heads is Better than $h$ Heads

May 13, 2020
Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith

* ACL2020 

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Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

May 01, 2020
Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng

* Accepted by SIGIR'20. We also released a GNN-based fraud detection toolbox with implementations of SOTA models. The code is available at https://github.com/safe-graph/DGFraud 

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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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Face Beautification: Beyond Makeup Transfer

Dec 11, 2019
Xudong Liu, Ruizhe Wang, Chih-Fan Chen, Minglei Yin, Hao Peng, Shukhan Ng, Xin Li


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Digital Twin: Acquiring High-Fidelity 3D Avatar from a Single Image

Dec 07, 2019
Ruizhe Wang, Chih-Fan Chen, Hao Peng, Xudong Liu, Oliver Liu, Xin Li

* 8 pages + 11 pages (supplemental material), 21 figures 

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RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved

Nov 18, 2019
Yu He, Jianxin Li, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng, Hao Peng

* 9 pages 

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HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding

Sep 07, 2019
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng

* CIKM 2019 

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RNN Architecture Learning with Sparse Regularization

Sep 06, 2019
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith


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PaLM: A Hybrid Parser and Language Model

Sep 04, 2019
Hao Peng, Roy Schwartz, Noah A. Smith

* EMNLP 2019 short paper 

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Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling

Jun 09, 2019
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren

* Accepted by China Science Information Science. arXiv admin note: text overlap with arXiv:1811.05932 by other authors 

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Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Jun 09, 2019
Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu


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Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Jun 09, 2019
Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu

* Accepted by IJCAI'19(International Joint Conference on Artificial Intelligence) 

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Understanding Beauty via Deep Facial Features

Apr 17, 2019
Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang


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Text Generation with Exemplar-based Adaptive Decoding

Apr 10, 2019
Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das

* NAACL 2019 

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Graph Convolutional Neural Networks via Motif-based Attention

Nov 11, 2018
Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Lihong Wang


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Rational Recurrences

Aug 28, 2018
Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith

* EMNLP 2018 

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Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention

Jun 16, 2018
Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C. -C. Jay Kuo


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Backpropagating through Structured Argmax using a SPIGOT

May 12, 2018
Hao Peng, Sam Thomson, Noah A. Smith

* ACL 2018 

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Learning Joint Semantic Parsers from Disjoint Data

Apr 17, 2018
Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith

* NAACL 2018 

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"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates

Feb 23, 2018
Chenhao Tan, Hao Peng, Noah A. Smith

* 10 pages, 5 figures, to appear in Proceedings of WWW 2018, data and more at https://chenhaot.com/papers/debate-quotes.html 

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Improving Orbit Prediction Accuracy through Supervised Machine Learning

Jan 15, 2018
Hao Peng, Xiaoli Bai

* 30 pages, 21 figures, 4 tables, Preprint submitted to Advances in Space Research, on December 14, 2017 

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Asynchronous Distributed Variational Gaussian Processes for Regression

Jun 12, 2017
Hao Peng, Shandian Zhe, Yuan Qi

* International Conference on Machine Learning 2017 

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Deep Multitask Learning for Semantic Dependency Parsing

Apr 25, 2017
Hao Peng, Sam Thomson, Noah A. Smith

* Proceedings of ACL 2017 

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A Convolutional Attention Network for Extreme Summarization of Source Code

May 25, 2016
Miltiadis Allamanis, Hao Peng, Charles Sutton

* Code, data and visualization at http://groups.inf.ed.ac.uk/cup/codeattention/ 

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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks

Aug 15, 2015
Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

* EMNLP '15 

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Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path

Aug 15, 2015
Xu Yan, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin

* EMNLP '15 

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EigenGP: Gaussian Process Models with Adaptive Eigenfunctions

Jul 13, 2015
Hao Peng, Yuan Qi

* Accepted by IJCAI 2015 

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Discriminative Neural Sentence Modeling by Tree-Based Convolution

Jun 02, 2015
Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin


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