Cosine interesting pattern discovery. - Junjie Wu 002; Shiwei Zhu; Hongfu Liu 001; Guoping Xia (Inf. Sci., 2012)

How Many Zombies Around You? - Hongfu Liu 001; Yuchao Zhang; Hao Lin 002; Junjie Wu 002; Zhiang Wu 001; Xu Zhang (ICDM, 2013)

Consensus ranking from a utility view. - Hongfu Liu 001; Yuchao Zhang; Xue Li (ICNC, 2013)

A Theoretic Framework of K-Means-Based Consensus Clustering. - Junjie Wu 002; Hongfu Liu 001; Hui Xiong 001; Jie Cao 001 (IJCAI, 2013)

SEA: a system for event analysis on chinese tweets. - Yaqiong Wang; Hongfu Liu 001; Hao Lin 002; Junjie Wu 002; Zhiang Wu 001; Jie Cao 001 (KDD, 2013)

Clustering with Partition Level Side Information. - Hongfu Liu 001; Yun Fu 001 (ICDM, 2015)

Spectral Ensemble Clustering. - Hongfu Liu 001; Tongliang Liu; Junjie Wu 002; Dacheng Tao; Yun Fu 001 (KDD, 2015)

DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. - Hongfu Liu 001; Junjie Wu 002; Dacheng Tao; Yuchao Zhang; Yun Fu 001 (SDM, 2015)

K-Means-Based Consensus Clustering: A Unified View. - Junjie Wu 002; Hongfu Liu 001; Hui Xiong 001; Jie Cao 001; Jian Chen 016 (IEEE Trans. Knowl. Data Eng., 2015)

Consensus Guided Unsupervised Feature Selection. - Hongfu Liu 001; Ming Shao; Yun Fu 001 (AAAI, 2016)

Outlier detection via sampling ensemble. - Hongfu Liu 001; Yuchao Zhang; Bo Deng; Yun Fu 001 (IEEE BigData, 2016)

Robust Spectral Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Yun Fu 001 (CIKM, 2016)

Robust Multi-View Feature Selection. - Hongfu Liu 001; Haiyi Mao; Yun Fu 001 (ICDM, 2016)

Structure-Preserved Multi-source Domain Adaptation. - Hongfu Liu 001; Ming Shao; Yun Fu 001 (ICDM, 2016)

Incomplete Multi-Modal Visual Data Grouping. - Handong Zhao; Hongfu Liu 001; Yun Fu 001 (IJCAI, 2016)

Infinite Ensemble for Image Clustering. - Hongfu Liu 001; Ming Shao; Sheng Li 001; Yun Fu 001 (KDD, 2016)

Simultaneous Clustering and Ensemble. - Zhiqiang Tao; Hongfu Liu 001; Yun Fu 001 (AAAI, 2017)

Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. - Zhiqiang Tao; Hongfu Liu 001; Huazhu Fu; Yun Fu 001 (AAAI, 2017)

Multi-view graph learning with adaptive label propagation. - Sheng Li 001; Hongfu Liu 001; Zhiqiang Tao; Yun Fu 001 (IEEE BigData, 2017)

Low-Shot Face Recognition with Hybrid Classifiers. - Yue Wu 008; Hongfu Liu 001; Yun Fu 001 (ICCV Workshops, 2017)

Projective Low-rank Subspace Clustering via Learning Deep Encoder. - Jun Li 027; Hongfu Liu 001; Handong Zhao; Yun Fu 001 (IJCAI, 2017)

From Ensemble Clustering to Multi-View Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IJCAI, 2017)

Deep Face Recognition with Center Invariant Loss. - Yue Wu 008; Hongfu Liu 001; Jun Li 027; Yun Fu 001 (ACM Multimedia (Thematic Workshops), 2017)

Entropy-based consensus clustering for patient stratification. - Hongfu Liu 001; Rui Zhao; Hongsheng Fang; Feixiong Cheng; Yun Fu 001; Yang-Yu Liu (Bioinform., 2017)

Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks. - Jun Li 027; Hongfu Liu 001; Yue Wu 008; Yun Fu 001 (CoRR, 2017)

Fuzzy Consensus Clustering With Applications on Big Data. - Junjie Wu 002; Zhiang Wu 001; Jie Cao 001; Hongfu Liu 001; Guoqing Chen; Yanchun Zhang (IEEE Trans. Fuzzy Syst., 2017)

Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence. - Hongfu Liu 001; Junjie Wu 002; Tongliang Liu; Dacheng Tao; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2017)

Predictive Coding Machine for Compressed Sensing and Image Denoising. - Jun Li 027; Hongfu Liu 001; Yun Fu 001 (AAAI, 2018)

Fast Clustering with Flexible Balance Constraints. - Hongfu Liu 001; Ziming Huang; Qi Chen; Mingqin Li; Yun Fu 001; Lintao Zhang (IEEE BigData, 2018)

Kinship Classification through Latent Adaptive Subspace. - Yue Wu 008; Zhengming Ding; Hongfu Liu 001; Joseph P. Robinson; Yun Fu 001 (FG, 2018)

Predictive Local Smoothness for Stochastic Gradient Methods. - Jun Li 027; Hongfu Liu 001; Bineng Zhong; Yue Wu 008; Yun Fu 001 (CoRR, 2018)

Infinite ensemble clustering. - Hongfu Liu 001; Ming Shao; Sheng Li 001; Yun Fu 001 (Data Min. Knowl. Discov., 2018)

Improving face representation learning with center invariant loss. - Yue Wu 008; Hongfu Liu 001; Jun Li 027; Yun Fu 001 (Image Vis. Comput., 2018)

Partition Level Constrained Clustering. - Hongfu Liu 001; Zhiqiang Tao; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Visual Kinship Recognition of Families in the Wild. - Joseph P. Robinson; Ming Shao; Yue Wu 008; Hongfu Liu 001; Timothy Gillis; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Consensus Regularized Multi-View Outlier Detection. - Handong Zhao; Hongfu Liu 001; Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Consensus Guided Multi-View Clustering. - Hongfu Liu 001; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2018)

Structured and Sparse Annotations for Image Emotion Distribution Learning. - Haitao Xiong; Hongfu Liu 001; Bineng Zhong; Yun Fu 001 (AAAI, 2019)

Marginalized Latent Semantic Encoder for Zero-Shot Learning. - Zhengming Ding; Hongfu Liu 001 (CVPR, 2019)

Adversarial Graph Embedding for Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Jun Li 027; Zhaowen Wang; Yun Fu 001 (IJCAI, 2019)

Knowledge Reused Outlier Detection. - Weiren Yu; Zhengming Ding; Chunming Hu; Hongfu Liu 001 (IEEE Access, 2019)

Spatially Constrained Generative Adversarial Networks for Conditional Image Generation. - Songyao Jiang; Hongfu Liu 001; Yue Wu 008; Yun Fu 001 (CoRR, 2019)

Consensus Clustering: An Embedding Perspective, Extension and Beyond. - Hongfu Liu 001; Zhiqiang Tao; Zhengming Ding (CoRR, 2019)

Multi-View Saliency-Guided Clustering for Image Cosegmentation. - Zhiqiang Tao; Hongfu Liu 001; Huazhu Fu; Yun Fu 001 (IEEE Trans. Image Process., 2019)

Robust Spectral Ensemble Clustering via Rank Minimization. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2019)

Structure-Preserved Unsupervised Domain Adaptation. - Hongfu Liu 001; Ming Shao; Zhengming Ding; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Feature Selection with Unsupervised Consensus Guidance. - Hongfu Liu 001; Ming Shao; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Deep Fair Clustering for Visual Learning. - Peizhao Li; Han Zhao 002; Hongfu Liu 001 (CVPR, 2020)

Evolutive preference analysis with online consumer ratings. - Xue Li; Hongfu Liu 001; Bin Zhu 017 (Inf. Sci., 2020)

Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing. - Wenhong Wang; Hongfu Liu 001 (Remote. Sens., 2020)

Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Wenhong Wang; Yuntao Qian; Hongfu Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Softly Associative Transfer Learning for Cross-Domain Classification. - Deqing Wang; Chenwei Lu; Junjie Wu 002; Hongfu Liu 001; Wenjie Zhang; Fuzhen Zhuang; Hui Zhang 028 (IEEE Trans. Cybern., 2020)

Marginalized Multiview Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Fairness-Aware Unsupervised Feature Selection. - Xiaoying Xing; Hongfu Liu 001; Chen Chen 022; Jundong Li (CIKM, 2021)

SelfDoc: Self-Supervised Document Representation Learning. - Peizhao Li; Jiuxiang Gu; Jason Kuen; Vlad I. Morariu; Handong Zhao; Rajiv Jain; Varun Manjunatha; Hongfu Liu 001 (CVPR, 2021)

Spatially Constrained GAN for Face and Fashion Synthesis. - Songyao Jiang; Hongfu Liu 001; Yue Wu 008; Yun Fu 001 (FG, 2021)

Towards Novel Target Discovery Through Open-Set Domain Adaptation. - Taotao Jing; Hongfu Liu 001; Zhengming Ding (ICCV, 2021)

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. - Peizhao Li; Yifei Wang 002; Han Zhao 002; Pengyu Hong; Hongfu Liu 001 (ICLR, 2021)

Deep Clustering based Fair Outlier Detection. - Hanyu Song; Peizhao Li; Hongfu Liu 001 (KDD, 2021)

Implicit Semantic Response Alignment for Partial Domain Adaptation. - Wenxiao Xiao; Zhengming Ding; Hongfu Liu 001 (NeurIPS, 2021)

Tweet Sentiment Analysis of the 2020 U.S. Presidential Election. - Ethan Xia; Han Yue; Hongfu Liu 001 (WWW (Companion Volume), 2021)

Economic Recession Prediction Using Deep Neural Network. - Zihao Wang; Kun Li; Steve Q. Xia; Hongfu Liu 001 (CoRR, 2021)

IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. - Sibo Zhu; Handong Zhao; Hongfu Liu 001 (CoRR, 2021)

Network-based virus-host interaction prediction with application to SARS-CoV-2. - Hangyu Du; Feng Chen; Hongfu Liu 001; Pengyu Hong (Patterns, 2021)

Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data. - Xiaochen Lv; Wenhong Wang; Hongfu Liu 001 (Remote. Sens., 2021)

Clustering With Outlier Removal. - Hongfu Liu 001; Jun Li 027; Yue Wu 008; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2021)

Fairness of Machine Learning in Search Engines. - Yi Fang 008; Hongfu Liu 001; Zhiqiang Tao; Mikhail Yurochkin (CIKM, 2022)

Exploiting Temporal Relations on Radar Perception for Autonomous Driving. - Peizhao Li; Pu Wang 004; Karl Berntorp; Hongfu Liu 001 (CVPR, 2022)

Achieving Fairness at No Utility Cost via Data Reweighing with Influence. - Peizhao Li; Hongfu Liu 001 (ICML, 2022)

Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. - Han Yue; Steve Q. Xia; Hongfu Liu 001 (KDD, 2022)

Towards Cross-Modal Causal Structure and Representation Learning. - Haiyi Mao; Hongfu Liu 001; Jason Xiaotian Dou; Panayiotis V. Benos (ML4H@NeurIPS, 2022)

Label-invariant Augmentation for Semi-Supervised Graph Classification. - Han Yue; Chunhui Zhang; Chuxu Zhang; Hongfu Liu 001 (NeurIPS, 2022)

Achieving Fairness at No Utility Cost via Data Reweighing. - Peizhao Li; Hongfu Liu 001 (CoRR, 2022)

Learnable Visual Words for Interpretable Image Recognition. - Wenxiao Xiao; Zhengming Ding; Hongfu Liu 001 (CoRR, 2022)

Contrastive Graph Few-Shot Learning. - Chunhui Zhang; Hongfu Liu 001; Jundong Li; Yanfang Ye 001; Chuxu Zhang (CoRR, 2022)

Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings. - Zhihuan Kuang; Shi Zong; Jianbing Zhang; Jiajun Chen; Hongfu Liu 001 (CoRR, 2022)

Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection. - Wenguang Wang; Wenhong Wang; Hongfu Liu 001 (Remote. Sens., 2022)

A Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2. - Han Yue; Hongfu Liu 001; Jian Chen 016 (IEEE Trans. Games, 2022)

Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. - Kai Li 012; Hongfu Liu 001; Yulun Zhang 001; Kunpeng Li; Yun Fu 001 (IEEE Trans. Cybern., 2022)

Learnable Subspace Clustering. - Jun Li 027; Hongfu Liu 001; Zhiqiang Tao; Handong Zhao; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Mining Label Distribution Drift in Unsupervised Domain Adaptation. - Peizhao Li; Zhengming Ding; Hongfu Liu 001 (AI (1), 2023)

Characterizing the Influence of Graph Elements. - Zizhang Chen; Peizhao Li; Hongfu Liu 001; Pengyu Hong (ICLR, 2023)

Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. - Anshuman Chhabra; Peizhao Li; Prasant Mohapatra; Hongfu Liu 001 (ICLR, 2023)

Learning Antidote Data to Individual Unfairness. - Peizhao Li; Ethan Xia; Hongfu Liu 001 (ICML, 2023)

Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery. - Zhaonan Li; Hongfu Liu 001 (CoRR, 2023)

Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. - Wenxiao Xiao; Zhengming Ding; Hongfu Liu 001 (CoRR, 2023)

Dual Node and Edge Fairness-Aware Graph Partition. - Tingwei Liu; Peizhao Li; Hongfu Liu 001 (CoRR, 2023)

Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. - Chunhui Zhang; Hongfu Liu 001; Jundong Li; Yanfang Ye 001; Chuxu Zhang (Trans. Mach. Learn. Res., 2023)

Transforming Complex Problems Into K-Means Solutions. - Hongfu Liu 001; Junxiang Chen; Jennifer G. Dy; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. - Han Yue; Jundong Li; Hongfu Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Algorithm 1038: KCC: A MATLAB Package for k-Means-based Consensus Clustering. - Hao Lin 002; Hongfu Liu 001; Junjie Wu 002; Hong Li; Stephan Günnemann (ACM Trans. Math. Softw., 2023)

"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection. - Anshuman Chhabra; Peizhao Li; Prasant Mohapatra; Hongfu Liu 001 (ICLR, 2024)

Category-Aware Active Domain Adaptation. - Wenxiao Xiao; Jiuxiang Gu; Hongfu Liu 001 (ICML, 2024)

Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions. - Anshuman Chhabra; Bo Li; Jian Chen 016; Prasant Mohapatra; Hongfu Liu 001 (CoRR, 2024)

On the Inflation of KNN-Shapley Value. - Ziao Yang; Han Yue; Jian Chen 016; Hongfu Liu 001 (CoRR, 2024)

Revisit, Extend, and Enhance Hessian-Free Influence Functions. - Ziao Yang; Han Yue; Jian Chen 016; Hongfu Liu 001 (CoRR, 2024)

Salutary Labeling with Zero Human Annotation. - Wenxiao Xiao; Hongfu Liu 001 (CoRR, 2024)

Graph-Graph Similarity Network. - Han Yue; Pengyu Hong; Hongfu Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)