Hongfu Liu

According to our database, Hongfu Liu authored at least 98 papers between 2012 and 2024.

Collaborative distances:

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

2024

Graph-Graph Similarity Network.

Han Yue, Pengyu Hong, Hongfu Liu

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Salutary Labeling with Zero Human Annotation.

Wenxiao Xiao, Hongfu Liu

CoRR, 2024

Revisit, Extend, and Enhance Hessian-Free Influence Functions.

Ziao Yang, Han Yue, Jian Chen, Hongfu Liu

CoRR, 2024

On the Inflation of KNN-Shapley Value.

Ziao Yang, Han Yue, Jian Chen, Hongfu Liu

CoRR, 2024

Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions.

Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu

CoRR, 2024

Category-Aware Active Domain Adaptation.

Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection.

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Algorithm 1038: KCC: A MATLAB Package for <i>k</i>-Means-based Consensus Clustering.

Hao Lin, Hongfu Liu, Junjie Wu, Hong Li, Stephan Günnemann

ACM Trans. Math. Softw., December, 2023

Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation.

Han Yue, Jundong Li, Hongfu Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Transforming Complex Problems Into K-Means Solutions.

Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning.

Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang

Trans. Mach. Learn. Res., 2023

Dual Node and Edge Fairness-Aware Graph Partition.

Tingwei Liu, Peizhao Li, Hongfu Liu

CoRR, 2023

Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation.

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

CoRR, 2023

Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery.

Zhaonan Li, Hongfu Liu

CoRR, 2023

Learning Antidote Data to Individual Unfairness.

Peizhao Li, Ethan Xia, Hongfu Liu

Proceedings of the International Conference on Machine Learning, 2023

Robust Fair Clustering: A Novel Fairness Attack and Defense Framework.

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Characterizing the Influence of Graph Elements.

Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mining Label Distribution Drift in Unsupervised Domain Adaptation.

Peizhao Li, Zhengming Ding, Hongfu Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Learnable Subspace Clustering.

Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization.

Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu

IEEE Trans. Cybern., 2022

A Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2.

Han Yue, Hongfu Liu, Jian Chen

IEEE Trans. Games, 2022

Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection.

Wenguang Wang, Wenhong Wang, Hongfu Liu

Remote. Sens., 2022

Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings.

Zhihuan Kuang, Shi Zong, Jianbing Zhang, Jiajun Chen, Hongfu Liu

CoRR, 2022

Contrastive Graph Few-Shot Learning.

Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang

CoRR, 2022

Learnable Visual Words for Interpretable Image Recognition.

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

CoRR, 2022

Achieving Fairness at No Utility Cost via Data Reweighing.

Peizhao Li, Hongfu Liu

CoRR, 2022

Label-invariant Augmentation for Semi-Supervised Graph Classification.

Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Cross-Modal Causal Structure and Representation Learning.

Haiyi Mao, Hongfu Liu, Jason Xiaotian Dou, Panayiotis V. Benos

Proceedings of the Machine Learning for Health, 2022

Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction.

Han Yue, Steve Q. Xia, Hongfu Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Achieving Fairness at No Utility Cost via Data Reweighing with Influence.

Peizhao Li, Hongfu Liu

Proceedings of the International Conference on Machine Learning, 2022

Exploiting Temporal Relations on Radar Perception for Autonomous Driving.

Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fairness of Machine Learning in Search Engines.

Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin

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

2021

Clustering With Outlier Removal.

Hongfu Liu, Jun Li, Yue Wu, Yun Fu

IEEE Trans. Knowl. Data Eng., 2021

Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data.

Xiaochen Lv, Wenhong Wang, Hongfu Liu

Remote. Sens., 2021

Network-based virus-host interaction prediction with application to SARS-CoV-2.

Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong

Patterns, 2021

IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation.

Sibo Zhu, Handong Zhao, Hongfu Liu

CoRR, 2021

Economic Recession Prediction Using Deep Neural Network.

Zihao Wang, Kun Li, Steve Q. Xia, Hongfu Liu

CoRR, 2021

Tweet Sentiment Analysis of the 2020 U.S. Presidential Election.

Ethan Xia, Han Yue, Hongfu Liu

Proceedings of the Companion of The Web Conference 2021, 2021

Implicit Semantic Response Alignment for Partial Domain Adaptation.

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Clustering based Fair Outlier Detection.

Hanyu Song, Peizhao Li, Hongfu Liu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections.

Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Novel Target Discovery Through Open-Set Domain Adaptation.

Taotao Jing, Hongfu Liu, Zhengming Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Spatially Constrained GAN for Face and Fashion Synthesis.

Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

SelfDoc: Self-Supervised Document Representation Learning.

Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fairness-Aware Unsupervised Feature Selection.

Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li

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

2020

Marginalized Multiview Ensemble Clustering.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2020

Softly Associative Transfer Learning for Cross-Domain Classification.

Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang

IEEE Trans. Cybern., 2020

Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing.

Wenhong Wang, Yuntao Qian, Hongfu Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing.

Wenhong Wang, Hongfu Liu

Remote. Sens., 2020

Evolutive preference analysis with online consumer ratings.

Xue Li, Hongfu Liu, Bin Zhu

Inf. Sci., 2020

Deep Fair Clustering for Visual Learning.

Peizhao Li, Han Zhao, Hongfu Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Feature Selection with Unsupervised Consensus Guidance.

Hongfu Liu, Ming Shao, Yun Fu

IEEE Trans. Knowl. Data Eng., 2019

Structure-Preserved Unsupervised Domain Adaptation.

Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu

IEEE Trans. Knowl. Data Eng., 2019

Robust Spectral Ensemble Clustering via Rank Minimization.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

ACM Trans. Knowl. Discov. Data, 2019

Multi-View Saliency-Guided Clustering for Image Cosegmentation.

Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu

IEEE Trans. Image Process., 2019

Consensus Clustering: An Embedding Perspective, Extension and Beyond.

Hongfu Liu, Zhiqiang Tao, Zhengming Ding

CoRR, 2019

Spatially Constrained Generative Adversarial Networks for Conditional Image Generation.

Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu

CoRR, 2019

Knowledge Reused Outlier Detection.

Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu

IEEE Access, 2019

Adversarial Graph Embedding for Ensemble Clustering.

Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Marginalized Latent Semantic Encoder for Zero-Shot Learning.

Zhengming Ding, Hongfu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Structured and Sparse Annotations for Image Emotion Distribution Learning.

Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Consensus Guided Multi-View Clustering.

Hongfu Liu, Yun Fu

ACM Trans. Knowl. Discov. Data, 2018

Consensus Regularized Multi-View Outlier Detection.

Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2018

Visual Kinship Recognition of Families in the Wild.

Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Partition Level Constrained Clustering.

Hongfu Liu, Zhiqiang Tao, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Improving face representation learning with center invariant loss.

Yue Wu, Hongfu Liu, Jun Li, Yun Fu

Image Vis. Comput., 2018

Infinite ensemble clustering.

Hongfu Liu, Ming Shao, Sheng Li, Yun Fu

Data Min. Knowl. Discov., 2018

Predictive Local Smoothness for Stochastic Gradient Methods.

Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu

CoRR, 2018

Kinship Classification through Latent Adaptive Subspace.

Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Fast Clustering with Flexible Balance Constraints.

Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Predictive Coding Machine for Compressed Sensing and Image Denoising.

Jun Li, Hongfu Liu, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence.

Hongfu Liu, Junjie Wu, Tongliang Liu, Dacheng Tao, Yun Fu

IEEE Trans. Knowl. Data Eng., 2017

Fuzzy Consensus Clustering With Applications on Big Data.

Junjie Wu, Zhiang Wu, Jie Cao, Hongfu Liu, Guoqing Chen, Yanchun Zhang

IEEE Trans. Fuzzy Syst., 2017

Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks.

Jun Li, Hongfu Liu, Yue Wu, Yun Fu

CoRR, 2017

Entropy-based consensus clustering for patient stratification.

Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Cheng, Yun Fu, Yang-Yu Liu

Bioinform., 2017

Deep Face Recognition with Center Invariant Loss.

Yue Wu, Hongfu Liu, Jun Li, Yun Fu

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

From Ensemble Clustering to Multi-View Clustering.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Projective Low-rank Subspace Clustering via Learning Deep Encoder.

Jun Li, Hongfu Liu, Handong Zhao, Yun Fu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Low-Shot Face Recognition with Hybrid Classifiers.

Yue Wu, Hongfu Liu, Yun Fu

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Multi-view graph learning with adaptive label propagation.

Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity.

Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu

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

Simultaneous Clustering and Ensemble.

Zhiqiang Tao, Hongfu Liu, Yun Fu

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

2016

Infinite Ensemble for Image Clustering.

Hongfu Liu, Ming Shao, Sheng Li, Yun Fu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Incomplete Multi-Modal Visual Data Grouping.

Handong Zhao, Hongfu Liu, Yun Fu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Structure-Preserved Multi-source Domain Adaptation.

Hongfu Liu, Ming Shao, Yun Fu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Robust Multi-View Feature Selection.

Hongfu Liu, Haiyi Mao, Yun Fu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Robust Spectral Ensemble Clustering.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Outlier detection via sampling ensemble.

Hongfu Liu, Yuchao Zhang, Bo Deng, Yun Fu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Consensus Guided Unsupervised Feature Selection.

Hongfu Liu, Ming Shao, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

K-Means-Based Consensus Clustering: A Unified View.

Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen

IEEE Trans. Knowl. Data Eng., 2015

DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering.

Hongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Spectral Ensemble Clustering.

Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Clustering with Partition Level Side Information.

Hongfu Liu, Yun Fu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2013

SEA: a system for event analysis on chinese tweets.

Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu, Jie Cao

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Theoretic Framework of K-Means-Based Consensus Clustering.

Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao

Proceedings of the IJCAI 2013, 2013

Consensus ranking from a utility view.

Hongfu Liu, Yuchao Zhang, Xue Li

Proceedings of the Ninth International Conference on Natural Computation, 2013

How Many Zombies Around You?

Hongfu Liu, Yuchao Zhang, Hao Lin, Junjie Wu, Zhiang Wu, Xu Zhang

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Cosine interesting pattern discovery.

Junjie Wu, Shiwei Zhu, Hongfu Liu, Guoping Xia

Inf. Sci., 2012