Hongliang Fei

发表

Anomaly Localization by Joint Sparse PCA in Wireless Sensor Networks

Jun Huan, R. Jiang, Hongliang Fei, 2010 .

Deep Skip-Gram Networks for Text Classification

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

U-BERT for Fast and Scalable Text-Image Retrieval

Tan Yu, Ping Li, Hongliang Fei, 2022, ICTIR.

Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering

Dingcheng Li, Hongliang Fei, Ping Li, 2022, ICTIR.

Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising

Tan Yu, Ping Li, Hongliang Fei, 2022, 2022 IEEE International Conference on Big Data (Big Data).

EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search

J. Liu, Tan Yu, Ping Li, 2022, KDD.

End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation

Yue Zhang, Hongliang Fei, Yue Zhang, 2022, SIGIR.

Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models

Yue Zhang, Dingcheng Li, Tan Yu, 2022, ArXiv.

Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising

Zhipeng Jin, Tan Yu, Ping Li, 2022, CIKM.

PromptGen: Automatically Generate Prompts using Generative Models

Dingcheng Li, Hongliang Fei, Ping Li, 2022, NAACL-HLT.

Cross-lingual Language Model Pretraining for Retrieval

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

Local Graph Clustering by Multi-network Random Walk with Restart

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

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).

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.

ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction

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

Cross-Probe BERT for Fast Cross-Modal Search

Tan Yu, Ping Li, Hongliang Fei, 2022, SIGIR.

Coreference Aware Representation Learning for Neural Named Entity Recognition

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

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval

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

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.

Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval

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

Sample Optimization For Display Advertising

P. Li, Hongliang Fei, Shulong Tan, 2020, CIKM.

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

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

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

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

End-to-end Deep Reinforcement Learning Based Coreference Resolution

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

Computational prediction of toxicity

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

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

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

Anomaly localization for network data streams with graph joint sparse PCA

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

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval

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

Boost CTR Prediction for New Advertisements via Modeling Visual Content

Tan Yu, Ping Li, Hongliang Fei, 2022, 2022 IEEE International Conference on Big Data (Big Data).

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

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

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

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

Learning Latent Structural Relations with Message Passing Prior

P. Li, Dingcheng Li, Hongliang Fei, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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).

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

Hongliang Fei, Jun Huan, Brian Quanz, 2011 .

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

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

GLSVM: Integrating Structured Feature Selection and Large Margin Classification

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

L2 norm regularized feature kernel regression for graph data

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

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

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

Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising

Zhipeng Jin, Tan Yu, Ping Li, 2022, CIKM.

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

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

Structured Sparse Boosting for Graph Classification

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

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction

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