Hongliang Fei

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 37

Top Venues

CoRR

SIGIR

KDD

CIKM

University of Kansas, USA (PHD)

Education History

University of Kansas, USA

PHD

Publications

Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. CoRR (2024)
Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li
Learning Latent Structural Relations with Message Passing Prior. WACV (2023)
Yue Zhang, Hongliang Fei, Ping Li
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. ACL (Findings) (2023)
Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
Boost CTR Prediction for New Advertisements via Modeling Visual Content. Big Data (2022)
Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. Big Data (2022)
Yue Zhang, Hongliang Fei, Ping Li
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. CoRR (2022)
Tan Yu, Hongliang Fei, Ping Li
Cross-Probe BERT for Fast Cross-Modal Search. SIGIR (2022)
Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR (2022)
Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR (2022)
Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. CoRR (2022)
Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. KDD (2022)
Tan Yu, Hongliang Fei, Ping Li
U-BERT for Fast and Scalable Text-Image Retrieval. ICTIR (2022)
Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. CoRR (2022)
Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
Boost CTR Prediction for New Advertisements via Modeling Visual Content. CoRR (2022)
Yue Zhang, Hongliang Fei, Ping Li
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR (2022)
Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. Big Data (2022)
Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li
PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) (2022)
Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li
Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. CIKM (2022)
Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD (2021)
Yue Zhang, Hongliang Fei, Ping Li
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. SIGIR (2021)
Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. SIGIR (2021)
Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. CIKM (2021)
Puxuan Yu, Hongliang Fei, Ping Li
Cross-lingual Language Model Pretraining for Retrieval. WWW (2021)
Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li
Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. SIGIR (2021)
Hongliang Fei, Tan Yu, Ping Li
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. NAACL-HLT (2021)
Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) (2021)
Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li
Sample Optimization For Display Advertising. CIKM (2020)
Hongliang Fei, Ping Li
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. ACL (2020)
Hongliang Fei, Xu Li, Dingcheng Li, Ping Li
End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) (2019)
Hongliang Fei, Shulong Tan, Ping Li
Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. KDD (2019)
Zeyu Dai, Hongliang Fei, Ping Li
Coreference Aware Representation Learning for Neural Named Entity Recognition. IJCAI (2019)
Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li
Deep Skip-Gram Networks for Text Classification. SDM (2019)
Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Yu, John Yen, Xiang Zhang
Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) (2018)
Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM (2017)
Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE (2017)
Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. ICDM (2016)
Younghun Kim, Aleksandr Y. Aravkin, Hongliang Fei, A. Zondervan, M. Wolf
Analytics for understanding customer behavior in the energy and utility industry. IBM J. Res. Dev. 60 (1) (2016)
Hongliang Fei, Jun Huan
Structured Sparse Boosting for Graph Classification. ACM Trans. Knowl. Discov. Data 9 (1) (2014)
Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary
Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. SDM (2014)
Hongliang Fei, Younghun Kim, Sambit Sahu, Milind R. Naphade, Sanjay K. Mamidipalli, John Hutchinson
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning. KDD (2013)
Ruoyi Jiang, Hongliang Fei, Jun Huan
A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams. IEEE Trans. Knowl. Data Eng. 25 (11) (2013)
Meenakshi Mishra, Hongliang Fei, Jun Huan
Computational prediction of toxicity. Int. J. Data Min. Bioinform. 8 (3) (2013)
Hongliang Fei, Jun Huan
Structured feature selection and task relationship inference for multi-task learning. Knowl. Inf. Syst. 35 (2) (2013)
Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan
Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. DASFAA (1) (2012)
Ruoyi Jiang, Hongliang Fei, Jun Huan
Anomaly localization for network data streams with graph joint sparse PCA. KDD (2011)
Hongliang Fei, Jun Huan
Structured Feature Selection and Task Relationship Inference for Multi-task Learning. ICDM (2011)
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Jun Huan
Content based social behavior prediction: a multi-task learning approach. CIKM (2011)
Meenakshi Mishra, Hongliang Fei, Jun Huan
Computational prediction of toxicity. BIBM (2010)
Hongliang Fei, Brian Quanz, Jun Huan
Regularization and feature selection for networked features. CIKM (2010)
Hongliang Fei, Jun Huan
Boosting with structure information in the functional space: an application to graph classification. KDD (2010)
Brian Quanz, Hongliang Fei, Jun Huan, Joseph B. Evans, Victor Frost, Gary J. Minden, Daniel D. Deavours, Leon S. Searl, Daniel DePardo, Martin Kuehnhausen, Daniel Fokum, Matt Zeets, Angela Oguna
Anomaly Detection with Sensor Data for Distributed Security. ICCCN (2009)
Hongliang Fei, Jun Huan
L2 norm regularized feature kernel regression for graph data. CIKM (2009)
Hongliang Fei, Brian Quanz, Jun Huan
GLSVM: Integrating Structured Feature Selection and Large Margin Classification. ICDM Workshops (2009)
Hongliang Fei, Jun Huan
Structure feature selection for chemical compound classification. BIBE (2008)
Hongliang Fei, Jun Huan
Structure feature selection for graph classification. CIKM (2008)

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Publication Activity (10 Years)

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Hongliang Fei