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ORCIDHongfu Liu 0001
Person information
- affiliation: Brandeis University, Waltham, MA, USA
- affiliation (Ph.D., 2018): Northeastern University, Boston, MA, USA
Other persons with the same name
- Hongfu Liu — disambiguation page
- Hongfu Liu 0002 — National University of Singapore, Singapore
- Hongfu Liu 0003
![[0000-0002-3543-9916]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3543-9916")
— Beijing University of Posts and Telecommunications, Beijing, China - Hongfu Liu 0004 — National University of Defense Technology, Changsha, Hunan, China
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2020 – today
- 2023
[j31]Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu:
Transforming Complex Problems Into K-Means Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9149-9168 (2023)- [j30]Han Yue, Jundong Li, Hongfu Liu:
Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15577-15587 (2023) - [j29]Hao Lin, Hongfu Liu, Junjie Wu, Hong Li, Stephan Günnemann:
Algorithm 1038: KCC: A MATLAB Package for k-Means-based Consensus Clustering. ACM Trans. Math. Softw. 49(4): 40:1-40:27 (2023) - [c46]Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) 2023: 354-366 - [c45]Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong:
Characterizing the Influence of Graph Elements. ICLR 2023 - [c44]Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu:
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR 2023 - [c43]Peizhao Li, Ethan Xia, Hongfu Liu:
Learning Antidote Data to Individual Unfairness. ICML 2023: 20168-20181 - [i26]Zhaonan Li, Hongfu Liu:
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery. CoRR abs/2302.04427 (2023) - [i25]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. CoRR abs/2303.02302 (2023) - [i24]Tingwei Liu, Peizhao Li, Hongfu Liu:
Dual Node and Edge Fairness-Aware Graph Partition. CoRR abs/2306.10123 (2023) - 2022
- [j28]Wenguang Wang, Wenhong Wang, Hongfu Liu:
Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection. Remote. Sens. 14(5): 1156 (2022) - [j27]Han Yue, Hongfu Liu, Jian Chen:
A Gospel for MOBA Game: Ranking-Preserved Hero Change Prediction in Dota 2. IEEE Trans. Games 14(2): 191-201 (2022) - [j26]Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu:
Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. 52(12): 12734-12744 (2022) - [j25]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1119-1133 (2022) - [c42]Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin:
Fairness of Machine Learning in Search Engines. CIKM 2022: 5132-5135 - [c41]Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu:
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CVPR 2022: 17050-17059 - [c40]Peizhao Li, Hongfu Liu:
Achieving Fairness at No Utility Cost via Data Reweighing with Influence. ICML 2022: 12917-12930 - [c39]Han Yue, Steve Q. Xia, Hongfu Liu:
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. KDD 2022: 4452-4460 - [c38]Haiyi Mao, Hongfu Liu, Jason Xiaotian Dou, Panayiotis V. Benos:
Towards Cross-Modal Causal Structure and Representation Learning. ML4H@NeurIPS 2022: 120-140 - [c37]Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu:
Label-invariant Augmentation for Semi-Supervised Graph Classification. NeurIPS 2022 - [i23]Peizhao Li, Hongfu Liu:
Achieving Fairness at No Utility Cost via Data Reweighing. CoRR abs/2202.00787 (2022) - [i22]Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu:
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. CoRR abs/2204.01184 (2022) - [i21]Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu:
Label-invariant Augmentation for Semi-Supervised Graph Classification. CoRR abs/2205.09802 (2022) - [i20]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Learnable Visual Words for Interpretable Image Recognition. CoRR abs/2205.10724 (2022) - [i19]Han Yue, Steve Q. Xia, Hongfu Liu:
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction. CoRR abs/2207.04539 (2022) - [i18]Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang:
Contrastive Graph Few-Shot Learning. CoRR abs/2210.00084 (2022) - [i17]Zhihuan Kuang, Shi Zong, Jianbing Zhang, Jiajun Chen, Hongfu Liu:
Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings. CoRR abs/2210.00434 (2022) - [i16]Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu:
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR abs/2210.01953 (2022) - [i15]Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong:
Characterizing the Influence of Graph Elements. CoRR abs/2210.07441 (2022) - [i14]Peizhao Li, Ethan Xia, Hongfu Liu:
Learning Antidote Data to Individual Unfairness. CoRR abs/2211.15897 (2022) - 2021
- [j24]Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong:
Network-based virus-host interaction prediction with application to SARS-CoV-2. Patterns 2(5): 100242 (2021) - [j23]Xiaochen Lv, Wenhong Wang, Hongfu Liu:
Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data. Remote. Sens. 13(2): 268 (2021) - [j22]Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering With Outlier Removal. IEEE Trans. Knowl. Data Eng. 33(6): 2369-2379 (2021) - [c36]Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li:
Fairness-Aware Unsupervised Feature Selection. CIKM 2021: 3548-3552 - [c35]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CVPR 2021: 5652-5660 - [c34]Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu:
Spatially Constrained GAN for Face and Fashion Synthesis. FG 2021: 1-8 - [c33]Taotao Jing, Hongfu Liu, Zhengming Ding:
Towards Novel Target Discovery Through Open-Set Domain Adaptation. ICCV 2021: 9302-9311 - [c32]Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu:
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR 2021 - [c31]Hanyu Song, Peizhao Li, Hongfu Liu:
Deep Clustering based Fair Outlier Detection. KDD 2021: 1481-1489 - [c30]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Implicit Semantic Response Alignment for Partial Domain Adaptation. NeurIPS 2021: 13820-13833 - [c29]Ethan Xia, Han Yue, Hongfu Liu:
Tweet Sentiment Analysis of the 2020 U.S. Presidential Election. WWW (Companion Volume) 2021: 367-371 - [i13]Taotao Jing, Hongfu Liu, Zhengming Ding:
Towards Novel Target Discovery Through Open-Set Domain Adaptation. CoRR abs/2105.02432 (2021) - [i12]Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li:
Fairness-Aware Unsupervised Feature Selection. CoRR abs/2106.02216 (2021) - [i11]Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu:
SelfDoc: Self-Supervised Document Representation Learning. CoRR abs/2106.03331 (2021) - [i10]Hanyu Song, Peizhao Li, Hongfu Liu:
Deep Clustering based Fair Outlier Detection. CoRR abs/2106.05127 (2021) - [i9]Zihao Wang, Kun Li, Steve Q. Xia, Hongfu Liu:
Economic Recession Prediction Using Deep Neural Network. CoRR abs/2107.10980 (2021) - [i8]Sibo Zhu, Handong Zhao, Hongfu Liu:
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation. CoRR abs/2108.00360 (2021) - 2020
- [j21]Xue Li, Hongfu Liu, Bin Zhu:
Evolutive preference analysis with online consumer ratings. Inf. Sci. 541: 332-344 (2020) - [j20]Wenhong Wang, Hongfu Liu:
Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing. Remote. Sens. 12(18): 2882 (2020) - [j19]Wenhong Wang, Yuntao Qian, Hongfu Liu:
Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5162-5179 (2020) - [j18]Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang:
Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. 50(11): 4709-4721 (2020) - [j17]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(2): 600-611 (2020) - [c28]Peizhao Li, Han Zhao, Hongfu Liu:
Deep Fair Clustering for Visual Learning. CVPR 2020: 9067-9076 - [i7]Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. CoRR abs/2004.04520 (2020) - [i6]Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR abs/2006.09565 (2020)
2010 – 2019
- 2019
- [j16]Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu:
Knowledge Reused Outlier Detection. IEEE Access 7: 43763-43772 (2019) - [j15]Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Multi-View Saliency-Guided Clustering for Image Cosegmentation. IEEE Trans. Image Process. 28(9): 4634-4645 (2019) - [j14]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data 13(1): 4:1-4:25 (2019) - [j13]Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu:
Structure-Preserved Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(4): 799-812 (2019) - [j12]Hongfu Liu, Ming Shao, Yun Fu:
Feature Selection with Unsupervised Consensus Guidance. IEEE Trans. Knowl. Data Eng. 31(12): 2319-2331 (2019) - [c27]Haitao Xiong, Hongfu Liu, Bineng Zhong, Yun Fu:
Structured and Sparse Annotations for Image Emotion Distribution Learning. AAAI 2019: 363-370 - [c26]Zhengming Ding, Hongfu Liu:
Marginalized Latent Semantic Encoder for Zero-Shot Learning. CVPR 2019: 6191-6199 - [c25]Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu:
Adversarial Graph Embedding for Ensemble Clustering. IJCAI 2019: 3562-3568 - [i5]Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu:
Spatially Constrained Generative Adversarial Networks for Conditional Image Generation. CoRR abs/1905.02320 (2019) - [i4]Hongfu Liu, Zhiqiang Tao, Zhengming Ding:
Consensus Clustering: An Embedding Perspective, Extension and Beyond. CoRR abs/1906.00120 (2019) - 2018
- [j11]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite ensemble clustering. Data Min. Knowl. Discov. 32(2): 385-416 (2018) - [j10]Yue Wu, Hongfu Liu, Jun Li, Yun Fu:
Improving face representation learning with center invariant loss. Image Vis. Comput. 79: 123-132 (2018) - [j9]Hongfu Liu, Zhiqiang Tao, Yun Fu:
Partition Level Constrained Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2469-2483 (2018) - [j8]Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu:
Visual Kinship Recognition of Families in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2624-2637 (2018) - [j7]Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu:
Consensus Regularized Multi-View Outlier Detection. IEEE Trans. Image Process. 27(1): 236-248 (2018) - [j6]Hongfu Liu, Yun Fu:
Consensus Guided Multi-View Clustering. ACM Trans. Knowl. Discov. Data 12(4): 42:1-42:21 (2018) - [c24]Jun Li, Hongfu Liu, Yun Fu:
Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI 2018: 3506-3513 - [c23]Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang:
Fast Clustering with Flexible Balance Constraints. IEEE BigData 2018: 743-750 - [c22]Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu:
Kinship Classification through Latent Adaptive Subspace. FG 2018: 143-149 - [i3]Hongfu Liu, Jun Li, Yue Wu, Yun Fu:
Clustering with Outlier Removal. CoRR abs/1801.01899 (2018) - [i2]Jun Li, Hongfu Liu, Bineng Zhong, Yue Wu, Yun Fu:
Predictive Local Smoothness for Stochastic Gradient Methods. CoRR abs/1805.09386 (2018) - 2017
- [j5]Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Cheng, Yun Fu, Yang-Yu Liu:
Entropy-based consensus clustering for patient stratification. Bioinform. 33(17): 2691-2698 (2017) - [j4]Junjie Wu, Zhiang Wu, Jie Cao, Hongfu Liu, Guoqing Chen, Yanchun Zhang:
Fuzzy Consensus Clustering With Applications on Big Data. IEEE Trans. Fuzzy Syst. 25(6): 1430-1445 (2017) - [j3]Hongfu Liu, Junjie Wu, Tongliang Liu, Dacheng Tao, Yun Fu:
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence. IEEE Trans. Knowl. Data Eng. 29(5): 1129-1143 (2017) - [c21]Zhiqiang Tao, Hongfu Liu, Yun Fu:
Simultaneous Clustering and Ensemble. AAAI 2017: 1546-1552 - [c20]Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu:
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. AAAI 2017: 4285-4291 - [c19]Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu:
Multi-view graph learning with adaptive label propagation. IEEE BigData 2017: 110-115 - [c18]Yue Wu, Hongfu Liu, Yun Fu:
Low-Shot Face Recognition with Hybrid Classifiers. ICCV Workshops 2017: 1933-1939 - [c17]Jun Li, Hongfu Liu, Handong Zhao, Yun Fu:
Projective Low-rank Subspace Clustering via Learning Deep Encoder. IJCAI 2017: 2145-2151 - [c16]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
From Ensemble Clustering to Multi-View Clustering. IJCAI 2017: 2843-2849 - [c15]Yue Wu, Hongfu Liu, Jun Li, Yun Fu:
Deep Face Recognition with Center Invariant Loss. ACM Multimedia (Thematic Workshops) 2017: 408-414 - [i1]Jun Li, Hongfu Liu, Yue Wu, Yun Fu:
Convergence Analysis of Parallel Multi-block ADMM via Discrete-time Recurrent Neural Networks. CoRR abs/1709.05528 (2017) - 2016
- [c14]Hongfu Liu, Ming Shao, Yun Fu:
Consensus Guided Unsupervised Feature Selection. AAAI 2016: 1874-1880 - [c13]Hongfu Liu, Yuchao Zhang, Bo Deng, Yun Fu:
Outlier detection via sampling ensemble. IEEE BigData 2016: 726-735 - [c12]Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu:
Robust Spectral Ensemble Clustering. CIKM 2016: 367-376 - [c11]Hongfu Liu, Haiyi Mao, Yun Fu:
Robust Multi-View Feature Selection. ICDM 2016: 281-290 - [c10]Hongfu Liu, Ming Shao, Yun Fu:
Structure-Preserved Multi-source Domain Adaptation. ICDM 2016: 1059-1064 - [c9]Handong Zhao, Hongfu Liu, Yun Fu:
Incomplete Multi-Modal Visual Data Grouping. IJCAI 2016: 2392-2398 - [c8]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite Ensemble for Image Clustering. KDD 2016: 1745-1754 - 2015
- [j2]Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen:
K-Means-Based Consensus Clustering: A Unified View. IEEE Trans. Knowl. Data Eng. 27(1): 155-169 (2015) - [c7]Hongfu Liu, Yun Fu:
Clustering with Partition Level Side Information. ICDM 2015: 877-882 - [c6]Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu:
Spectral Ensemble Clustering. KDD 2015: 715-724 - [c5]Hongfu Liu, Junjie Wu, Dacheng Tao, Yuchao Zhang, Yun Fu:
DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. SDM 2015: 766-774 - 2013
- [c4]Hongfu Liu, Yuchao Zhang, Hao Lin, Junjie Wu, Zhiang Wu, Xu Zhang:
How Many Zombies Around You? ICDM 2013: 1133-1138 - [c3]Hongfu Liu, Yuchao Zhang, Xue Li:
Consensus ranking from a utility view. ICNC 2013: 1134-1139 - [c2]Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao:
A Theoretic Framework of K-Means-Based Consensus Clustering. IJCAI 2013: 1799-1805 - [c1]Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu, Jie Cao:
SEA: a system for event analysis on chinese tweets. KDD 2013: 1498-1501 - 2012
- [j1]Junjie Wu, Shiwei Zhu, Hongfu Liu, Guoping Xia:
Cosine interesting pattern discovery. Inf. Sci. 184(1): 176-195 (2012)
Coauthor Index
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