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Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Oct 20, 2020
Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan


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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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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Sep 26, 2020
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

* 9 pages, 7 figures 

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Contextualized Perturbation for Textual Adversarial Attack

Sep 16, 2020
Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan


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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks

Sep 04, 2020
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He

* accepted by ICDM 2020 as regular paper 

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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Aug 19, 2020
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu

* Accepted by CIKM 2020 

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Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market

Aug 12, 2020
Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He

* 14 pages, journal 

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Adversarial Directed Graph Embedding

Aug 09, 2020
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He

* 7 pages, 4 figures 

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A Survey on Text Classification: From Shallow to Deep Learning

Aug 04, 2020
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He


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A Text Classification Survey: From Shallow to Deep Learning

Aug 02, 2020
Qian Li, Hao Peng, Jianxin Li, Congyin Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He


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Receding Horizon Control Based Online Motion Planning with Partially Infeasible LTL Specifications

Jul 23, 2020
Mingyu Cai, Hao Peng, Zhijun Li, Hongbo Gao, Zhen Kan


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Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation

Jun 28, 2020
Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

* Added references and acknowledgements 

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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View

Jun 23, 2020
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

* 10 pages 

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Category-Specific CNN for Visual-aware CTR Prediction at JD.com

Jun 19, 2020
Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan


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Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework

Jun 10, 2020
Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu


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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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