Jun Wu

According to our database, Jun Wu authored at least 51 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression.

Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan

ACM Trans. Knowl. Discov. Data, February, 2024

Discrete Listwise Content-aware Recommendation.

Fangyuan Luo, Jun Wu, Tao Wang

ACM Trans. Knowl. Discov. Data, January, 2024

MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection.

Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Improving Prompt-based News Recommendation with Individual Template and Customized Answer.

Yijiang Li, Jun Wu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract).

Fangyuan Luo, Jun Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.

Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li

ACM Trans. Inf. Syst., October, 2023

Self-supervised variational autoencoder towards recommendation by nested contrastive learning.

Jing Wang, Jun Wu, Caiyan Jia, Zhifei Zhang

Appl. Intell., August, 2023

User-Dependent Learning to Debias for Recommendation.

Fangyuan Luo, Jun Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation.

Xiangkui Lu, Jun Wu, Jianbo Yuan

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion.

Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu

Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Semi-supervised Review-Aware Rating Regression (Student Abstract).

Xiangkui Lu, Jun Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adversarial Training for Predicting the Trend of the COVID-19 Pandemic.

Haishuai Wang, Jiali Ma, Ziping Zhao, Zhenyi Jia, Zhenyan Ji, Jun Wu

J. Database Manag., 2022

Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction.

Shuang Tang, Fangyuan Luo, Jun Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback.

Fangyuan Luo, Jun Wu, Tao Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction.

Shun Zhang, Xiangkui Lu, Jun Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fake News Detection Based on the Correlation Extension of Multimodal Information.

Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Semi-supervised collaborative filtering ensemble.

Jun Wu, Xiankai Sang, Wei Cui

World Wide Web, 2021

Matrix factorization with dual-network collaborative embedding for social recommendation.

Maosheng Wei, Jun Wu, Lina Yang, Yuanyan Tang

Int. J. Wavelets Multiresolution Inf. Process., 2021

A Universal Model for Cross Modality Mapping by Relational Reasoning.

Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li

CoRR, 2021

Expert Recommendations with Temporal Dynamics of User Interest in CQA.

Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

HACK: A Hierarchical Model for Fake News Detection.

Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Enhancing Fake News Classification by Generating Neural Fake Samples.

Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Semi-supervised Factorization Machines for Review-Aware Recommendation.

Junheng Huang, Fangyuan Luo, Jun Wu

Proceedings of the Database Systems for Advanced Applications, 2021

Review-Aware Neural Recommendation with Cross-Modality Mutual Attention.

Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-Discrete Social Recommendation (Student Abstract).

Fangyuan Luo, Jun Wu, Haishuai Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Semi-discrete Matrix Factorization.

Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang

IEEE Intell. Syst., 2020

2019

Neural Binary Representation Learning for Large-Scale Collaborative Filtering.

Yujia Zhang, Jun Wu, Haishuai Wang

IEEE Access, 2019

MFAD: A Multi-modality Face Anti-spoofing Dataset.

Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Sparse Multi-Graph Ranking towards Social Image Retrieval^†.

Kai Liu, Tianjiao Wang, Jun Wu, Yidong Li

Proceedings of the 6th International Conference on Behavioral, 2019

Context-aware recommendations via a tree-based ensemble framework.

Ke Ji, Yahan Yuan, Kun Ma, Runyuan Sun, Zhenxiang Chen, Jun Wu

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

Binary Collaborative Filtering Ensemble.

Yujia Zhang, Jun Wu, Haishuai Wang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Social Collaborative Filtering Ensemble.

Honglei Zhang, Gangdu Liu, Jun Wu

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Asynchronous Bi-clustering for Image Recommendation.

Yankun Jia, Yidong Li, Jun Wu

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

Click-boosted graph ranking for image retrieval.

Jun Wu, Yu He, Xiaohong Qin, Na Zhao, Yingpeng Sang

Comput. Sci. Inf. Syst., 2017

Heterogeneous Manifold Ranking for Image Retrieval.

Jun Wu, Yu He, Xiangnan Guo, Yujia Zhang, Na Zhao

IEEE Access, 2017

Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features.

Yaru Dong, Yidong Li, Wenhua Liu, Jun Wu

Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017

Clickthrough refinement for improved graph ranking.

Yu He, Jun Wu, Haishuai Wang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Boosting for Real-Time Multivariate Time Series Classification.

Haishuai Wang, Jun Wu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Leveraging Click Completion for Graph-Based Image Ranking.

Xiaohong Qin, Yu He, Jun Wu, Yingpeng Sang

Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016

Mining subcascade features for cascade outbreak prediction in big networks.

Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Branching Path Following for Graph Matching.

Tao Wang, Haibin Ling, Congyan Lang, Jun Wu

Proceedings of the Computer Vision - ECCV 2016, 2016

2014

Learning with both unlabeled data and query logs for image search.

Jun Wu, Zhi-Bo Xiao, Haishuai Wang, Hong Shen

Comput. Electr. Eng., 2014

A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution.

Dandan Zhang, Hong Shen, Hui Tian, Yidong Li, Jun Wu, Yingpeng Sang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data.

Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Two-Phase Layered Learning Recommendation via Category Structure.

Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

AB-Chord: An Improved Chord Based on Ant Colony Optimizationand Bi-Directional Lookup Routing.

Limin Zhao, Hong Shen, Yidong Li, Jun Wu

Proceedings of the Sixth International Symposium on Parallel Architectures, 2014

2013

Learning a hybrid similarity measure for image retrieval.

Jun Wu, Hong Shen, Yidong Li, Zhi-Bo Xiao, Mingyu Lu, Chun-Li Wang

Pattern Recognit., 2013

A Self-immunizing Manifold Ranking for Image Retrieval.

Jun Wu, Yidong Li, Songhe Feng, Hong Shen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

An Improved Chord Based on Counting Bloom Filter and Topology-Aware Lookup.

Limin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sang

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

A Clustering Algorithm Based on Density-Grid for Stream Data.

Dandan Zhang, Hui Tian, Yingpeng Sang, Yidong Li, Yanbo Wu, Jun Wu, Hong Shen

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

Incorporating Manifold Ranking with Active Learning in Relevance Feedback for Image Retrieval.

Jun Wu, Yidong Li, Yingpeng Sang, Hong Shen

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012