Hongliang Fei

According to our database1, Hongliang Fei authored at least 51 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023
Learning Latent Structural Relations with Message Passing Prior.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Denoising Enhanced Distantly Supervised Ultrafine Entity Typing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models.
CoRR, 2022

Boost CTR Prediction for New Advertisements via Modeling Visual Content.
CoRR, 2022

End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-Probe BERT for Fast Cross-Modal Search.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

PromptGen: Automatically Generate Prompts using Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

U-BERT for Fast and Scalable Text-Image Retrieval.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising.
Proceedings of the IEEE International Conference on Big Data, 2022

Boost CTR Prediction for New Advertisements via Modeling Visual Content.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Cross-lingual Language Model Pretraining for Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Sample Optimization For Display Advertising.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Deep Skip-Gram Networks for Text Classification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Coreference Aware Representation Learning for Neural Named Entity Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

End-to-end Deep Reinforcement Learning Based Coreference Resolution.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Local Graph Clustering by Multi-network Random Walk with Restart.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Analytics for understanding customer behavior in the energy and utility industry.
IBM J. Res. Dev., 2016

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014
Structured Sparse Boosting for Graph Classification.
ACM Trans. Knowl. Discov. Data, 2014

Batch Mode Active Learning with Hierarchical-Structured Embedded Variance.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013
A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams.
IEEE Trans. Knowl. Data Eng., 2013

Structured feature selection and task relationship inference for multi-task learning.
Knowl. Inf. Syst., 2013

Computational prediction of toxicity.
Int. J. Data Min. Bioinform., 2013

Heat pump detection from coarse grained smart meter data with positive and unlabeled learning.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Learning from Structured Data with High Dimensional Structured Input and Output Domain.
PhD thesis, 2012

Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Anomaly localization for network data streams with graph joint sparse PCA.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Content based social behavior prediction: a multi-task learning approach.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Boosting with structure information in the functional space: an application to graph classification.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Regularization and feature selection for networked features.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
GLSVM: Integrating Structured Feature Selection and Large Margin Classification.
Proceedings of the ICDM Workshops 2009, 2009

Anomaly Detection with Sensor Data for Distributed Security.
Proceedings of the 18th International Conference on Computer Communications and Networks, 2009

L2 norm regularized feature kernel regression for graph data.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Structure feature selection for graph classification.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Structure feature selection for chemical compound classification.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008


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