HONGFU LIU


Michtom School of Computer Science, Brandeis University                                                        hongfuliu@brandeis.edu
I am currently a tenure-track assistant professor in Michtom School of Computer Science at Brandeis University. I received my Ph.D. in Department of Electrical & Computer Engineering, Northeastern University (NEU), supervised by Prof. Yun (Raymond) Fu. Before joining NEU, I got my master and bachelor degrees majored in management at Beihang University with Prof. Junjie Wu. Here is my latest CV.

EDUCATION
PhD, in College of Engineering, Northeastern University, 2018
Master, in Management Science and Engineering, Beihang University, 2014
Bachelor, in Information Systems, Beihang University, 2011
Minor Bachelor, in Applied Mathematics, Beihang University, 2011
Minor Bachelor, in Law, Beihang University, 2011

INTERN
Microsoft Research Asia, 06/2017 - 08/2017
Adobe Research, 05/2016 - 07/2016

INTERESTS
Cluster Analysis: consensus clustering, constrained clustering, balanced clustering, multi-view clustering, interpretable clustering, big data clustering
Outlier Detection: multi-view outlier detection, spammer detection, zombie user detection, bi-sampling outlier detection, jointly clustering and outlier detection
Transfer Learning: heterogenous domain adaptation, unsupervised domain adaptation, structure-preserved domain adaptation
Feature Selection: unsupervised feature selection, multi-view feature selection
HIRING
Ph.D. students, PostDocs, Visiting Scholars, and Research Associates to work on machine learning, data mining, computer vision, business intelligence, and social media analytics are welcome.
APPOITMENT
For face-to-face visitors, please make an appointment here.

NEWS

2018/11
One AAAI accepted. Congrats to Prof. Xiong!
2018/10
COSI 129a: Introduction to Big Data Analaysis 2019 Spring will be conducted on Google Cloud Platform. Thanks Google for the education grant.
2018/10
I am invited as a program committee for IEEE Conference on Machine Learning (ICML) 2019.
2018/10
One IEEE BigData accepted.
2018/10
AAAI Tutorial Deep Multi-view Visual Data Analytics accepted. Congrats to Allan and Handong. See you in Hawaii. More information can be found here.
2018/9
One TKDE accepted.
2018/9
I am invited as an associate editor for IEEE Computational Intelligence Magazine (IEEE CIM) 2019.
2018/9
One TKDD accepted. Congrats to Zhiqiang!
2018/9
One IVC accepted. Congrats to Yue!
2018/9
I received the Nvidia GPU donation grant. Thanks Nvidia.
2018/8
I am invited as a program committee for IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) 2019.
2018/7
Received traval fund for U.S. Air Force Science and Technology 2030 Visioning Workshop. Thanks University of Utah.
2018/6
I am invited as a program committee for IEEE International Conference on Data Mining (ICDM) 2018.
2018/6
I am invited as a program committee for IEEE International Conference on Big Data (IEEE Big Data) 2018.
2018/5
One excellent undergraduate student from Nanjing University will visit my group this summer. Welcome.
2018/5
I am invited as a senior program committee for AAAI Conference on Artificial Intelligence (AAAI) 2019.
2018/5
I am invited as a program committee for International Conference On Information Systems (ICIS) 2018.
2018/5
I am invited as a program committee for Neural Information Processing Systems (NIPS) 2018.
2018/5
One TKDE accepted.
2018/4
I will join Michtom School of Computer Science at Brandeis University as a tenure-track assistant professor this fall.
2018/4
PhD defense passed.
2018/3
I am serving as a volunteer at Cambridge Women's Center.
2018/3
One TPAMI accepted. The largest kinship datasets so far will be released soon.






























Associate Editor
IEEE Computational Intelligence Magazine (IEEE CIM)
Editorial Board
Architecture and Design Review
Annals of Mathematics and Physics
Publicity Chair
International Workshop on Big Data Transfer Learning, 2017
Senior Program Committee
AAAI Conference on Artificial Intelligence (AAAI) 2019
Program Committee
IEEE International Conference on Machine Learning (ICML) 2019
IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) 2019
IEEE International Conference on Data Mining (ICDM) 2018
IEEE International Conference on Big Data (IEEE Big Data) 2018
International Conference On Information Systems (ICIS) 2018
Neural Information Processing Systems (NIPS) 2018
AAAI Conference on Artificial Intelligence (AAAI) 2017, 2018
International Joint Conference on Artificial Intelligence (IJCAI) 2016, 2017
International Conference on Machine Learning and Applications (ICMLA) 2016, 2017, 2018
Journal Reviewer
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Cybernetics (TCYB)
IEEE Transactions on Big Data (TBD)
IEEE Computational Intelligence Magazine (CIM)
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
ACM Transactions on Knowledge Discovery from Data (TKDD)
Bioinformatics (BMC)
Information Science (IS)
Neural Networks (NN)
Applied Computing and Informatics (ACI)
Computer Methods and Programs in Biomedicine (CMPB)
Human-centric Computing and Information Sciences (HCIS)
Journal of Electronic Imaging (JEI)
International Journal on Artifcialcial Intelligence Tools (IJAIT)
Pattern Analysis and Applications (PAA)
Mathematical Problems in Engineering (MPE)

Journal (2 TPAMI, 4 TKDE, 1 DMKD, 2 TKDD, 1 BMC, 1 TFS, 1 TIP, etc.)
Conference (3 KDD, 4 ICDM, 1 SDM, 4 IJCAI, 5 AAAI, 1 CIKM, etc.)
Hongfu Liu, Ming Shao and Yun Fu
Feature Selection with Unsupervised Consensus Guidance. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding and Yun Fu
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018.
Yue Wu, Hongfu Liu, Jun Li and Yun Fu
Improving Face Representation Learning with Center Invariant Loss. Image and Vision Computing (IVC), 2018.
Hongfu Liu, Ming Shao, Zhengming Ding and Yun Fu
Structure-Preserved Unsupervised Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Joseph Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis and Yun Fu
Visual Kinship Recognition of Families in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
Hongfu Liu and Yun Fu
Consensus Guided Multi-View Clustering. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018.
Xue Li and Hongfu Liu
Greedy Optimization for K-means-based Consensus Clustering. Tsinghua Science and Technology (TST), 2018.
Hongfu Liu, Zhiqiang Tao and Yun Fu
Partition Level Constrained Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
Hongfu Liu, Ming Shao, Sheng Li and Yun Fu
Infinite Ensemble Clustering. Data Mining and Knowledge Discovery (DMKD), 2017.
Hongfu Liu, Junjie Wu, Tongliang Liu, Dacheng Tao and Yun Fu
Spectral Ensemble Clustering via Weighted K-means: Theoretical and Practical Evidence. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
Hongfu Liu, Rui Zhao, Hongsheng Fang, Feixiong Chen, Yun Fu and Yuyang Liu
Entrpoy-based Consensus Clustering for Patient Stratfcation. Bioinformatics (BIOINF), 2017.
Handong Zhao, Hongfu Liu, Zhengming Ding and Yun Fu
Consensus Regularized Multi-View Outlier Detection. IEEE Transactions on Image Processing (TIP), 2017.
Junjie Wu, Ziang Wu, Jie Cao, Hongfu Liu, Guoqing Chen and Yanchuan Zhang
Fuzzy Consensus Clustering with Applications on Big Data. IEEE Transactions on Fuzzy Systems (TFS), 2017.
Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao and Jian Chen
K-means-based Con-sensus Clustering: A Unifeded View. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
Junjie Wu, Shiwei Zhu, Hongfu Liu and Guoping Xia
Cosine Interesting Pattern Discovery. Information Sciences (IS), 2012.
Haitao Xiong, Hongfu Liu, Bineng Zhong and Yun Fu
Structured and Sparse Annotations for Image Emotion Distribution Learning. AAAI Conference on Artficial Intelligence (AAAI), 2019.
Hongfu Liu, Ziming Huang, Yun Fu, Qi Chen, Mingqin Li, and Lintao Zhang
Fast Clustering with Flexible Balance Constraints. IEEE International Conference on Big Data (IEEE BigData), 2018.
Jun Li, Hongfu Liu and Yun Fu
Predictive Coding Machine for Compressed Sensing and Image Denoising. AAAI Conference on Artficial Intelligence (AAAI), 2018.
Yue Wu, Zhengming Ding, Hongfu Liu, Joseph Robinson and Yun Fu
Kinship Classification through Latent Adaptive Subspace. IEEE Conference on Automatic Face and Gesture Recognition (FG), 2018.
Jun Li, Hongfu Liu, Handong Zhao and Yun Fu
Projective Low-rank Subspace Clustering via Learning Deep Encoder. International Joint Conference on Artifcialcial Intelligence (IJCAI), 2017.
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding and Yun Fu
From Ensemble Clustering to Multi-View Clustering. International Joint Conference on Artifcialcial Intelligence (IJCAI), 2017.
Zhiqiang Tao*, Hongfu Liu*, Huazhu Fu and Yun Fu (* means equal contribution)
Image Cosegmentation via Saliency-Guided Constraint Clustering with Cosine Similarity. AAAI Conference on Artficial Intelligence (AAAI), 2017.
Zhiqiang Tao, Hongfu Liu and Yun Fu
Simultaneous Clustering and Ensemble. AAAI Conference on Artficial Intelligence (AAAI), 2017.
Sheng Li, Hongfu Liu, Zhiqiang Tao and Yun Fu
Multi-View Graph Learning with Adaptive Label Propagation. IEEE International Conference on Big Data (IEEE BigData), 2017.
Yue Wu, Hongfu Liu, Yun Fu
Low-shot Face Recognition with Hybrid Classifiers. International Conference on Computer Vision Workshop (ICCV-W), 2017.
Yue Wu, Hongfu Liu, Jun Li and Yun Fu
Deep Face Recognition with Center Invariant Loss. ACM Multimedia Thematic Workshop (MM-W), 2017.
Hongfu Liu, Ming Shao, Sheng Li and Yun Fu
Inifnite Ensemble for Image Clustering. ACM SIGKDD international conference on Knowledge Discovery and Data mining (KDD), 2016.
Hongfu Liu, Haiyi Mao and Yun Fu
Robust Multi-View Feature Selection. IEEE International Conference on Data Mining (ICDM), 2016.
Hongfu Liu, Ming Shao and Yun Fu
Structure-Preserved Multi-Source Domain Adaptation. IEEE International Conference on Data Mining (ICDM), 2016.
Hongfu Liu, Yuchao Zhang, Bo Deng and Yun Fu
Bi-sampling Ensemble Outlier Detection. IEEE International Conference on Big Data (IEEE BigData), 2016.
Zhiqiang Tao, Hongfu Liu, Sheng Li and Yun Fu
Robust Spectral Ensemble Clustering. ACM International Conference on Information and Knowledge Management (CIKM), 2016.
Handong Zhao, Hongfu Liu and Yun Fu
Incomplete Multi-modal Visual Data Grouping. International Joint Conference on Artifcialcial Intelligence (IJCAI), 2016.
Hongfu Liu, Ming Shao and Yun Fu
Consensus Guided Unsupervised Feature Selection. AAAI Conference on Artficial Intelligence (AAAI), 2016.
Hongfu Liu*, Tongliang Liu*, JunjieWu, Dacheng Tao and Yun Fu (* means equal contribution)
Spectral Ensemble Clustering. ACM SIGKDD international conference on Knowledge Discovery and Data mining (KDD), 2015.
Hongfu Liu and Yun Fu
Clustering with Partition Level Side Information. IEEE International Conference on Data Mining (ICDM), 2015.
Hongfu Liu, JunjieWu, Dacheng Tao, Yuchao Zhang and Yun Fu
DIAS: A Disassemble-Assemble Framework for Highly Sparse Text Clustering. SIAM International Conference on Data Mining (SDM), 2015.
Hongfu Liu, Cheng Gong and Junjie Wu
Consensus Clustering on Big Data. IEEE International Conference on Service Systems and Service Management (ICSSSM Best Paper), 2015.
Hongfu Liu,Yuchao Zhang,Hao Lin and Junjie Wu
How Many Zombies Around You. IEEE International Conference on Data Mining (ICDM), 2013.
Junjie Wu, Hongfu Liu, Hui Xiong and Jie Cao
Theoretic Framework of K-means-based Consensus Clustering. International Joint Conference on Artifcialcial Intelligence (IJCAI), 2013.
Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu and Jie Cao
SEA: A System for Event Analysis on Chinese Tweets. ACM SIGKDD international conference on Knowledge Discovery and Data mining (KDD), 2013.
Yuchao Zhang and Hongfu Liu
A Reliable QoE-aware Framework for Cloud Service Monitoring and Ranking. International Conference on Electrical and Information Technologies for Rail Transportation (EITRT), 2013.
Yuchao Zhang, Hongfu Liu and Bo Deng
SLA-Driven State Monitoring for Cloud Services. IEEE International Conference on High Performance Computing and Communications (HPCC), 2013.
Yuchao Zhang, Hongfu Liu and Bo Deng
Evolutionary Clustering with DBSCAN. International Conference on Natural Computation (ICNC), 2013.
Di Zhao, Hongfu Liu, Hongyi Li
A Method Based on Grey Correlation Clustering for Improving the Hierarchy of Analytic Hierarchy Process. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010.

First Place Award in MS-Celel-1M Grand Challenge, 2017
International Conference on Computer Vision
IJCAI Student Travel Award, 2017
International Joint Conference on Artifcial Intelligence
KDD Student Travel Award, 2016
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
SIGIR Student Travel Award, 2016
ACM International Conference Information and Knowledge Management
ICDM Student Travel Award, 2016
IEEE Conference on Data Mining
AAAI Student Travel Award, 2016
AAAI Conference on Artificial Intelligence
IEEE BigData Student Travel Award, 2016
IEEE Conference on Big Data
Top 20 New Star in Data Mining, 2016
Microsoft Academic Search
The inaugural Adobe Research Fellowship Finalist, 2016
Adobe Research
ICDM Student Travel Award, 2015
IEEE Conference on Data Mining
Dean Fellowship, 2014
Northeastern University
Outstanding Graduate, 2014
Beijing Education Commission
Outstanding Graduate Thesis, 2014
Beihang University
National Scholarship, 2013
Ministry of Education of China
Top 10 Graduate, 2013
School of Economics and Management in Beihang University
Data Mining Innovation Award, 2013
China Internet Network Information Center
Airbus Scholarship, 2012
Beihang University
Outstanding Volunteer Prize, 2012
School of Economics and Management in Beihang University
Outstanding Undergraduate, 2011
Beijing Education Commission
Outstanding Undergraduate Thesis, 2011
Beihang University
Board Scholarships, 2011
School of Economics and Management in Beihang University
Google Student Travel Award, 2010
Student Symposium on Machine Learning and Applications
Citigroup Scholarship, 2010
Beihang University
Kwang-Hua Scholarship, 2009
Beihang University
Samsung Scholarship, 2008
Beihang University

Brandeis Univeristy
Nvidia
Google




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