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
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning

Jan 19, 2021
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng


  Access Paper or Ask Questions

Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network

Jan 19, 2021
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng


  Access Paper or Ask Questions

Heterogeneous Similarity Graph Neural Network on Electronic Health Records

Jan 17, 2021
Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu


  Access Paper or Ask Questions

Dynamic Graph Collaborative Filtering

Jan 08, 2021
Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu

* ICDM 2020 Regular paper 

  Access Paper or Ask Questions

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

Jan 03, 2021
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang


  Access Paper or Ask Questions

Privacy and Robustness in Federated Learning: Attacks and Defenses

Dec 07, 2020
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu

* arXiv admin note: text overlap with arXiv:2003.02133; text overlap with arXiv:1911.11815 by other authors 

  Access Paper or Ask Questions

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Nov 30, 2020
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu

* Under review 

  Access Paper or Ask Questions

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation

Nov 02, 2020
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu

* Accepted by COLING 2020 

  Access Paper or Ask Questions

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis

Oct 31, 2020
Hu Xu, Lei Shu, Philip S. Yu, Bing Liu

* COLING 2020 

  Access Paper or Ask Questions

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Oct 25, 2020
Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong

* 19 pages, accepted by EMNLP 2020 main conference as a long paper. Code will be available at https://github.com/salesforce/DNNC-few-shot-intent 

  Access Paper or Ask Questions

Basket Recommendation with Multi-Intent Translation Graph Neural Network

Oct 22, 2020
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu

* 978-1-7281-6251-5/20/\$31.00~\copyright2020 IEEE 
* Accepted to IEEE Bigdata 2020. Code is available online at https://github.com/JimLiu96/MITGNN 

  Access Paper or Ask Questions

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks

Oct 14, 2020
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu

* Accepted by ICPR 2020 

  Access Paper or Ask Questions

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection

Oct 11, 2020
Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu

* 10 pages, 3 figures. To appear in Findings of EMNLP 2020 

  Access Paper or Ask Questions

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks

Oct 05, 2020
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He

* Accepted by COLING 2020 

  Access Paper or Ask Questions

Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score

Oct 05, 2020
He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu

* ACCV 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

Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination

Sep 25, 2020
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu

* This paper has been published in IEEE Transactions on Knowledge and Data Engineering 

  Access Paper or Ask Questions

Fairness Constraints in Semi-supervised Learning

Sep 14, 2020
Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency

Aug 24, 2020
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu

* Preprint, under review 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Differentially Private Multi-Agent Planning for Logistic-like Problems

Aug 16, 2020
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Adversarial Directed Graph Embedding

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

* 7 pages, 4 figures 

  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

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

Aug 05, 2020
Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions