Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Oct 19, 2020
Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao

* EMNLP 2020 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection

Sep 15, 2020
Ye Liu, Junsong Yuan, Chang Wen Chen

* Accepted to Proceedings of the 28th ACM International Conference on Multimedia (ACM MM'20), Seattle, WA, USA 

  Access Paper or Ask Questions

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

Aug 06, 2020
Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu

* 10 pages, 6 figures 

  Access Paper or Ask Questions

Commonsense Evidence Generation and Injection in Reading Comprehension

May 11, 2020
Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu

* Accepted by SIGDIAL 2020 

  Access Paper or Ask Questions

Fine-Grained Urban Flow Inference

Feb 05, 2020
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum

* 16 pages. arXiv admin note: substantial text overlap with arXiv:1902.05377 

  Access Paper or Ask Questions

Orthogonal Nonnegative Tucker Decomposition

Oct 27, 2019
Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan


  Access Paper or Ask Questions

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

Aug 27, 2019
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu

* CIKM 2019 

  Access Paper or Ask Questions

Tucker Decomposition Network: Expressive Power and Comparison

May 23, 2019
Ye Liu, Junjun Pan, Michael Ng


  Access Paper or Ask Questions

MMKG: Multi-Modal Knowledge Graphs

Mar 13, 2019
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

* ESWC 2019 

  Access Paper or Ask Questions

UrbanFM: Inferring Fine-Grained Urban Flows

Feb 06, 2019
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng


  Access Paper or Ask Questions

Automatic trajectory measurement of large numbers of crowded objects

Feb 03, 2019
Hui Li, Ye Liu, Yan Qiu Chen


  Access Paper or Ask Questions

Product Title Refinement via Multi-Modal Generative Adversarial Learning

Nov 11, 2018
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu

* Workshop on Visually Grounded Interaction and Language, NIPS, 2018 

  Access Paper or Ask Questions

Data-driven Blockbuster Planning on Online Movie Knowledge Library

Oct 24, 2018
Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu

* IEEE BigData 

  Access Paper or Ask Questions

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis

Jun 19, 2018
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow


  Access Paper or Ask Questions

Action2Activity: Recognizing Complex Activities from Sensor Data

Nov 07, 2016
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S Rosenblum

* IJCAI 2015 

  Access Paper or Ask Questions

Simultaneous Feature Learning and Hash Coding with Deep Neural Networks

Apr 14, 2015
Hanjiang Lai, Yan Pan, Ye Liu, Shuicheng Yan

* This paper has been accepted to IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2015 

  Access Paper or Ask Questions