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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Haifeng Chen

Learning Disentangled Representations for Time Series


May 21, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu


  Access Paper or Ask Questions

Interpretable Time-series Representation Learning With Multi-Level Disentanglement


May 17, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu


  Access Paper or Ask Questions

FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems


Apr 08, 2021
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik

* Accepted by CVPR'21 

  Access Paper or Ask Questions

Unsupervised Document Embedding via Contrastive Augmentation


Mar 26, 2021
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang

* 13 pages; under review 

  Access Paper or Ask Questions

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series


Mar 03, 2021
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan Davidson

* This paper is accepted by AAAI 2021 

  Access Paper or Ask Questions

Learning to Drop: Robust Graph Neural Network via Topological Denoising


Nov 13, 2020
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang

* WSDM 2021 

  Access Paper or Ask Questions

Parameterized Explainer for Graph Neural Network


Nov 09, 2020
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

* NeurIPS 2020 

  Access Paper or Ask Questions

T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting


Oct 26, 2020
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong

* Accepted by ICDM 2020 

  Access Paper or Ask Questions

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce


Sep 10, 2020
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong


  Access Paper or Ask Questions

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection


Aug 31, 2020
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang


  Access Paper or Ask Questions

SIGL: Securing Software Installations Through Deep Graph Learning


Aug 26, 2020
Xueyuan Han, Xiao Yu, Thomas Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo Seltzer, Haifeng Chen

* 18 pages, to appear in the 30th USENIX Security Symposium (USENIX Security '21) 

  Access Paper or Ask Questions

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning


Jun 19, 2020
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu


  Access Paper or Ask Questions

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs


May 25, 2020
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen


  Access Paper or Ask Questions

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation


Dec 18, 2019
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

* AAAI 2020 

  Access Paper or Ask Questions

Heterogeneous Graph Matching Networks


Oct 17, 2019
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu


  Access Paper or Ask Questions

Learning Robust Representations with Graph Denoising Policy Network


Oct 04, 2019
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen

* 10 pages 

  Access Paper or Ask Questions

Adversarial Defense Framework for Graph Neural Network


May 10, 2019
Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu


  Access Paper or Ask Questions

Deep Program Reidentification: A Graph Neural Network Solution


Dec 10, 2018
Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu


  Access Paper or Ask Questions

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data


Nov 20, 2018
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla


  Access Paper or Ask Questions

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction


Aug 14, 2017
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison Cottrell

* International Joint Conference on Artificial Intelligence (IJCAI), 2017 

  Access Paper or Ask Questions