Hongliang Fei

发表

Batch Mode Active Learning with Hierarchical-Structured Embedded Variance

Fei Wang, Alok N. Choudhary, Yu Cheng, 2014, SDM.

Learning from Structured Data with High Dimensional Structured Input and Output Domain

Hongliang Fei, 2012 .

Anomaly localization for network data streams with graph joint sparse PCA

Hongliang Fei, Jun Huan, Ruoyi Jiang, 2011, KDD.

Boosting with structure information in the functional space: an application to graph classification

Hongliang Fei, Jun Huan, Jun Huan, 2010, KDD.

Content based social behavior prediction: a multi-task learning approach

Hongliang Fei, Bo Luo, Jun Huan, 2011, CIKM '11.

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android

Hao Wu, Tao Yang, Wei Fan, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Analytics for understanding customer behavior in the energy and utility industry

Hongliang Fei, Younghun Kim, M. Wolf, 2016, IBM J. Res. Dev..

Structured feature selection and task relationship inference for multi-task learning

Hongliang Fei, Jun Huan, Jun Huan, 2011, 2011 IEEE 11th International Conference on Data Mining.

The Multi-Resolution Analysis Segmentation Research Based on Wavelet

Hongliang Fei, 2012 .

Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning

Hongliang Fei, Ping Li, Hongliang Fei, 2020, ACL.

Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach

Hong Cheng, Jeffrey Xu Yu, Jiong Yang, 2012, DASFAA.

Computational prediction of toxicity

Hongliang Fei, Jun Huan, Meenakshi Mishra, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

L2 norm regularized feature kernel regression for graph data

Hongliang Fei, Jun Huan, Jun Huan, 2009, CIKM.

Structure feature selection for graph classification

Hongliang Fei, Jun Huan, 2008, CIKM '08.

Structured Feature Selection and Task Relationship Inference for Multi-task Learning

Hongliang Fei, Jun Huan, 2011, ICDM.

Local Graph Clustering by Multi-network Random Walk with Restart

John Yen, Xiang Zhang, Dongsheng Luo, 2018, PAKDD.

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction

Shulong Tan, Ping Li, Hongliang Fei, 2019, KDD.

Heat pump detection from coarse grained smart meter data with positive and unlabeled learning

Milind R. Naphade, Sambit Sahu, Hongliang Fei, 2013, KDD.

Deep Skip-Gram Networks for Text Classification

Ping Li, Yaliang Li, Hongliang Fei, 2019, SDM.

Rail Sensor Testbed Program: Active Agents in Containers for Transport Chain Security: Algorithms

Hongliang Fei, Jun Huan, Brian Quanz, 2011 .

Structure feature selection for chemical compound classification

Hongliang Fei, Jun Huan, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams

Hongliang Fei, Jun Huan, Ruoyi Jiang, 2013, IEEE Transactions on Knowledge and Data Engineering.

Coreference Aware Representation Learning for Neural Named Entity Recognition

Hongliang Fei, Ping Li, Zeyu Dai, 2019, IJCAI.

Sample Optimization For Display Advertising

Ping Li, Wenbo Zhang, Hongliang Fei, 2020, CIKM.

Computational prediction of toxicity

Hongliang Fei, Jun Huan, Meenakshi Mishra, 2013, Int. J. Data Min. Bioinform..

Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network

Xiang Zhang, Hongliang Fei, Wei Fan, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Regularization and feature selection for networked features

Hongliang Fei, Jun Huan, Brian Quanz, 2010, CIKM '10.

GLSVM: Integrating Structured Feature Selection and Large Margin Classification

Hongliang Fei, Jun Huan, Brian Quanz, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Structured Sparse Boosting for Graph Classification

Hongliang Fei, Jun Huan, Jun Huan, 2014, TKDD.

End-to-end Deep Reinforcement Learning Based Coreference Resolution

Xu Li, Ping Li, Dingcheng Li, 2019, ACL.

Anomaly Detection with Sensor Data for Distributed Security

Joseph B. Evans, Victor S. Frost, Hongliang Fei, 2009, 2009 Proceedings of 18th International Conference on Computer Communications and Networks.

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis

Xiang Zhang, Hongliang Fei, Wei Fan, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction

Hongliang Fei, Yue Zhang, Ping Li, 2021, SIGIR.

Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval

Hongliang Fei, Yi Li, Ping Li, 2021, CIKM.

Cross-lingual Language Model Pretraining for Retrieval

Ping Li, Hongliang Fei, Puxuan Yu, 2021, WWW.

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval

Shulong Tan, Hongliang Fei, Weijie Zhao, 2021, KDD.

GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction

Hongliang Fei, Ping Li, Jingyuan Zhang, 2021, SIGIR.

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation

Dingcheng Li, Hongliang Fei, Ping Li, 2021, EMNLP.

Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval

Hongliang Fei, Yi Li, Ping Li, 2021, SIGIR.

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval

Ping Li, Hongliang Fei, Tan Yu, 2021, NAACL.

Anomaly Localization by Joint Sparse PCA and Its Implementation in Sensor Network

Hongliang Fei, Jun Huan, Ruoyi Jiang, 2010 .