Associate Professor Department of Computer Science and Engineering   Research Group

Dr. Yu Zhang is an associate professor in Department of Computer Science and Engineering at Southern University of Science and Technology. He received the BSc and MEng degrees in the Department of Computer Science and Technology of Nanjing University, respectively and the PhD degree in the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology. His research interests mainly include artificial intelligence and machine learning and he is especially interested in multi-task learning, transfer learning, deep learning, dimensionality reduction, metric learning, and semi-supervised learning. He has published about 60 papers on top-tier conferences and journals. He has won best paper awards in the 26th Conference on Uncertainty in Artificial Intelligence (UAI) 2010 and the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2019, and the best student paper award in the 2013 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Personal Profile

Research Interests

Artificial Intelligence, Machine Learning, Pattern Recognition, and Data Min-ing with applications to Computer Vision, Information Retrieval, Social Net-work Analysis, Health Informatics, and Big Data Analytics

Education

2007-2011, Ph.D. in Computer Science and Engineering, Hong Kong University of Science and Technology
2004-2007, M.Eng. in Computer Science, Nanjing University
2000-2004, B.Sc. in Computer Science, Nanjing University

Professional Experience

2019-present, Associate Professor, Department of Computer Science and Engineering, Southern University of Science and Technology
2017-2019, Research Assistant Professor, Department of Computer Science and Engineering, Hong Kong University of Science and Technology
2015-2017, Research Associate, Department of Computer Science and Engineering, Hong Kong University of Science and Technology
2012-2015, Research Assistant Professor, Department of Computer Science, Hong Kong Baptist University
2011-2012, Postdoctoral Research Associate, Department of Computer Science and Engineering, Southern University of Science and Technology
2011, Visiting Scholar, Machine Learning Department, Carnegie Mellon University

Honors

Overseas High-Caliber Personnel (Level B), Shenzhen 2019
Best Paper Award, PAKDD Conference 2019
Young National Distinguished Scholar, China 2019
Distinguished Senior Program Committee Member, IJCAI Conference 2018
Outstanding Reviewer, ICML Conference 2018
Best Student Paper Award, WI Conference 2013
Advanced Individual, Shenzhen Virtual University Park 2013
Research Travel Award, HKUST 2012
SENG PhD Research Excellence Award, HKUST 2011
Overseas Research Award, HKUST, 2011
Best Paper Award, UAI Conference 2010
Research Travel Awards (NIPS, UAI, AISTATS) 2010
Champion, Postgraduate Student Research Paper Competition, IEEE (Hong Kong) Computational Intelligence Chapter 2010
Research Travel Award, HKUST 2009
Second Runner-Up Award, Postgraduate Student Research Paper Competition, IEEE (Hong Kong) Computational Intelligence Chapter 2009
Postgraduate Scholarship, HKUST 2007~2011
Best Paper Award, Jiangsu Province Computer Society, China 2005
Excellent Undergraduate Scholarship, Nanjing University 2001~2004

Grants

Poisson-Regression-based Model Prediction on The Number of Infected Cases for Epidemics (PI, NSFC-61305071, China, January 2014 - December 2016)
Dynamic Di usion Networks Based on Context Information (PI, FRG2/13-14/039, HKBU, June 2014 - May 2015)
`New Class Discovery' and Its Applications (Co-I, NSFC-61473087, China, January 2015 - December 2018)
Analysis and Design on Obtaining Labels for Data by Crowdsourcing (Co-I,NSFC-61673202, China, January 2017 - December 2020)
Study on the Genotype-Phenotype-Molecular Mechanism Correlation of Corneal Dystrophies based on Precision Medicine (Co-I, NSFC-81870630, China, Jan-
uary 2019 - December 2022)

Journal Reviewer

Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Machine Learning Research
Machine Learning
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Multimedia
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B
IEEE Transactions on Big Data
ACM Transactions on Intelligent Systems and Technology
Neural Computation
National Science Review
Statistical Analysis and Data Mining
Pattern Recognition
Physica A
Knowledge and Information Systems
Pattern Recognition Letter
Information Sciences
Neurocomputing
Applied Intelligence

Conference (Senior) PC Member

IJCAI (2013, 2015, 2016, 2017, 2018, 2019)
AAAI (2016, 2017, 2018, 2019, 2020)
UAI (2012, 2014, 2015, 2016, 2017, 2018, 2019)
NIPS/NeurIPS (2013, 2014, 2015, 2016, 2017, 2018, 2019)
ICML (2014, 2016, 2018)
AISTATS (2017, 2019, 2020)
ICLR (2018, 2019, 2020)
KDD (2015, 2016, 2017)
ICPR (2014, 2016)
ACML (2013, 2017, 2018, 2019)
PRICAI (2014, 2016, 2018, 2019)
NAACL-HLT (2019)
EMNLP-IJCNLP (2019)
ICDM (2015)
SDM (2013)
CIKM (2017)

Research

Artificial Intelligence

Machine Learning

Pattern Recognition

Data Mining


Teaching

SUSTech CSE5001: Advanced Arti cial Intelligence, Fall 2019

HKUST MSBD 5012: Machine Learning, Spring 2018

HKUST MSBD 6000B: Deep Learning, Fall 2017

HKUST COMP 4331: Data Mining, Fall 2017

HKBU COMP 7930: Big Data Analytics, Spring 2015

HKBU COMP 7390: Algorithms for Financial Information Systems, Fall 2014

HKBU COMP 3045&3790: Advanced Algorithm Design, Analysis and Implementation, Fall 2014

HKBU COMP 7070: Advanced Topics in Machine Learning, Fall 2013

HKBU COMP 7340: Enterprise Architecture and Integration, Spring 2013

HKBU Short Course: Classic Data Mining Algorithms, Winter 2012


Publications Read More

Dr. Yu ZHANG has been devoted in AI field for many years. He has served as committee member and journal reviewer for more than 20 conferences and journals. He has published about 60 papers on top-tier conferences and journals. He has won best paper awards in the 26th Conference on Uncertainty in Artificial Intelligence (UAI) 2010 and the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2019, and the best student paper award in the 2013 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

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News More

  • [August 2019] One paper got accepted by EMNLP 2019.

    2019-12-05
  • [July 2019] One paper got accepted by ACM MM 2019.

    2019-12-05
  • [April 2019] "Parameter Transfer Unit for Deep Neural Networks" won the best paper award in PAKDD 2019.

    2019-12-05

Lab members Read More

Join us

I am looking for highly motivated Postdoc/PhD/Master/RA. If you are interested, please send your CV to zhangy7@sustech.edu.cn.

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Contact Us

Contact Address

Room 601, Building 10, Innovation Park of Sustech,1088 Xueyuan Avenue, Shenzhen 518055, P.R. China

Office Phone

Email

zhangy7@sustech.edu.cn

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