所属研究所、院系:
数据科学研究所

职称:
教授

办公电话:
Code downloading at https://github.com/fengjl18/

E-mail:
fengjlin@mail.sysu.edu.cn

办公地点:
A213

个人主页: http://www.scholat.com/fengjl



教师简介:
Jianlin Feng is currently a full professor of the School of Software in Sun Yat-Sen University.?He received B.E, M.E. and Ph. D.? from the Department of Computer Science, Huazhong University of Science and Technology, under the supervision of Professor Yucai Feng. He was a post-doctor fellow for one year in the Hong Kong University of Science and Technology under the supervision of Professor Hongjun Lu. From 2005 to 2007, he was a visiting scholar for two years in the University of Illinois at Urbana-Champaign under the supervision of Professor Jiawei Han.

研究领域:
?
Database Systems: similarity search, OLAP and data warehousing, NewSQL for New Hardware
Data Mining and Bioinformatics:?word embedding,?sequence alignment, rank aggregation, biclustering.
?
Graduated Students (partial list):
Chuhan Zhang, M. Phil, 2019, Ph.D student, Harbin Institute of Technology
Xiaolu Yang, FYP. 2019, Engineer, Tencent
Qiang Huang, Ph. D, 2017, Post-doc , National University of Singapore
?Zhen Wang, Ph.D, 2017, Ali Star?, Alibaba
Zhuobin Deng, M. Phil, 2017, engineer , Baidu
Yikai Zhang, M. Phil, 2016, Ph. D student, Chinese University of HongKong
Yingying Zhou, M. Phil, 2014, SRE engineer , Google at Sydney
Fan Yang?, FYP, 2014,?engineer, DeepMind
Junhao Gan, M. Phil, 2013, Lecturer?, University of Melbourne

主要学术兼职:
PC Member
NDBC 2010--2015, 2017-2019
CIKM 2012, APWEB 2013, 2014, DASFAA 2013
SIGMOD 2009 Repeatability and Workability Evaluation Committee
DASFAA 2009 PhD Workshop
ICDM 2006 Workshop on Mining Evolving and Streaming Data
WISE 2006 Workshop on Web-Based Massive Data Processing
Reviewer
The VLDB Journal, IEEE TKDE, ACM TODS, JCST
External Reviewer
ICDE 2007, ICDE 2008, SIGMOD 2007, SIGKDD 2007, ICDM 2007, WSDM 2008, ICDE 2013.

教授课程:
Database Systems. Spring, Fall, 2020 (Spring, 2011-2019; Fall, 2009-2010, 2017.)
Machine Learning and Data Mining. Spring, 2021
Advanced Database Systems. Fall, 2020 (Fall, 2019)
Algorithm Analysis and Design. Fall, 2016
Compiler Systems. Fall, 2015 (Fall, 2014.)
Artificial Intelligence. Fall, 2013. (Fall, 2012; Fall, 2011).
Data Warehousing and Data Mining. Fall, 2019. Spring, 2018.( Spring, 2010, 2013.)
C-Store (Column-Oriented Database Management Systems). Spring, 2009.
Text Mining, Fall, 2004

代表性论著:
Publications marked with a ‘#’ are papers where the first author is my student, those with a `*' are papers where I am the corresponding author.Qiong Fang, Dewei Su, Wilfred Ng., Jianlin Feng. An Effective Biclustering-based Framework for Identifying Cell Subpopulations from scRNA-seq Data. Accepted as Regular Paper. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020.
#Qiang Huang, Guihong Ma, Jianlin Feng, Qiong Fang, Anthony K. H. Tung. Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search.?Pages 1561-1570. In ACM SIGKDD, 2018.
#Qiang Huang, Jianlin Feng, Qiong Fang, Wilfred Ng. Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search. IEEE Transactions on Knowledge and Data Engineering VOL. 29, NO. 12, 2772-2785,?DECEMBER 2017
#Qiang Huang, Jianlin Feng, Qiong Fang, Wilfred Ng, Wei Wang. Query-Aware Locality-Sensitive Hashing Scheme for l_p Norm. VLDB J. 26(5): 683-708 (2017)
#Qiang Huang, Jianlin Feng, Qiong Fang. Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search. In Proc. of the 33rd IEEE International Conference on Data Engineering (ICDE’ 2017), P167-170.
#Qiang Huang, Jianlin Feng, Yikai Zhang, Qiong Fang, and Wilfred Ng. Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search. In Proceedings of the VLDB Endowment, Volume 9, pages 1-12, 2015-2016. Download: QALSH Code; QALSH Manual (Draft).
#Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph and Text Jointly Embedding. In ACL EMNLP, 2014: 1591-1601.
#Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph Embedding by Translating on Hyperplanes. In AAAI, 2014: 1112-1119. (Zhen is co-supervised with Dr. Jianwen Zhang and Dr. Zheng Chen at MSRA)
Qiong Fang, Wilfred Ng, Jianlin Feng and Yuliang Li. Mining Order-Preserving SubMatrices from Probabilistic Matrices. ACM Transactions on Database Systems, volume 39, issue 1, article 6, January 2014.
#Junhao Gan, Jianlin Feng, Qiong Fang, and Wilfred Ng. Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (acceptance rate: 48/289, 16.61%), SIGMOD 2012, pp. 541-552., Scottsdale, USA, May 20-24, 2012. Download: DataProcessor Source Code; C2LSH Source Code.
Qiong Fang, Jianlin Feng, and Wilfred Ng. Identifying Differentially-Expressed Genes via Weighted Rank Aggregation. In IEEE International Conference on Data Mining (ICDM) (6-pages short paper, acceptance rate: 18.8% with 101 full papers and 47 short papers, out of 786 submissions), pp. 1038-1043, Vancouver, Canada, December 11-14, 2011.
*Qiong Fang, Wilfred Ng, Jianlin Feng, Yuliang Li. Mining Bucket Order-Preserving SubMatrices in Gene Expression Data. IEEE Trans. Knowl. Data Eng. 24(12): 2218-2231 (2012). (pre-print)
Qiong Fang, Wilfred Ng, Jianlin Feng. Discovering Significant Relaxed Order-Preserving Submatrices. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (full presentation paper, acceptance rate: 77/578, 13.3%), pp. 433-442.,Washington, DC, USA, 2010.
S. Manegold, I. Manolescu, L. Afanasiev, J. Feng, G. Gou, M. Hadjieleftheriou, S. Harizopoulos, P. Kalnis, K. Karanasos, D. Laurent, M. Lupu, N. Onose, C. Re, V. Sans, P. Senellart, T. Wu, and D. Shasha. Repeatability & Workability Evaluation of SIGMOD 2009. ACM SIGMOD Record, September 2009 (Vol. 38, No. 3).
Jianlin Feng, Qiong Fang, Wilfred Ng. Discovering Bucket Orders from Full Rankings. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (acceptance rate: 78/435, 17.9%), SIGMOD 2008, pp. 55-66. Vancouver, Canada, June 9-12, 2008.
Wei Wang , Jianlin Feng, Hongjun Lu and Jeffrey Xu Yu. Condensed Cube: An Effective Approach to Reducing Data Cube Size. In Proc. of the 18th IEEE Int. Conf. on Data Engineering (IEEE ICDE’02, acceptance rate: 54/287, 18.8%), P155-165, San Jose, Feb. 2002.

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