Hongfu Liu
Degrees
Northeastern University, Ph.D.Beihang University, M.E.
Beihang University, B.A.
Beihang University, B.Eng.
Beihang University, B.S.
Expertise
Data analytics in terms of cluster analysis, outlier detection, transfer learning, feature selection and fair machine learningProfile
Please visit my new faculty profile page.
Hongfu Liu received his bachelor and master degree in Management Information Systems from the School of Economics and Management, Beihang University, in 2011 and 2014 respectively. He received the Ph.D. degree in computer engineering from Northeastern University, Boston MA, 2018. Currently he is a tenure-track Assistant Professor affiliated with Michtom School of Computer Science at Brandeis University. His research interests generally focus on data mining and machine learning, with special interests in ensemble learning. He has served as the reviewers for many IEEE Transactions journals including TKDE, TNNLS, TIP, and TBD. He has also served on the program committee for the conferences including AAAI, IJCAI, and NIPS. He is the Associate Editor of IEEE Computational Intelligence Magazine.
Courses Taught
| COSI | 21a | Data Structures and the Fundamentals of Computing |
| COSI | 120a | Topics in Computer Systems |
| COSI | 126a | Introduction to Data Mining |
| COSI | 129a | Introduction to Big Data Analysis |
| COSI | 159a | Computer Vision |
Awards and Honors
Outstanding Self-Financed Students Abroad (2019)
Scholarship
Ethan Xia, Han Yue, Hongfu Liu. "Tweet Sentiment Analysis of the 2020 U.S. Pres-idential Election." the Web Conference, 2021.
Liu, Hongfu. "Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong and Hongfu Liu." International Conference on Learning Representations, Virtual. May, 2021.
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad Morariu, Handong Zhao, Rajiv Jain,Varun Manjunatha and Hongfu Liu. "SelfDoc: Self-Supervised Document Represen-tation Learning." IEEE Conference on Computer Vision and Pattern Recognition, Virtual. June, 2021.
Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong and Hongfu Liu. "On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections." International Conference on Learning Representations, 2021.
Xiaochen Lv, Wenhong Wang and Hongfu Liu. "Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data." Remote Sensing (2021).
Jun Li,Hongfu Liu, Zhiqiang Tao, Handong Zhao and Yun Fu.. "Learnable Subspace Clustering." IEEE Transactions on Neural Networks and Learning Systems (2020).
Wenhong Wang and Hongfu Liu. "Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing." Remote Sensing (2020).
Xue Li, Hongfu Liu and Bin Zhu. "Evolutive Preference Analysis with Online Consumer Ratings." Information Science (2020).