冯剑琳

教授

联系邮箱： fengjlin@mail.sysu.edu.cn

联系地址： A521

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: 

 

  • Brain Computation: random projection, winner-take-all, synapse plasticity
  • 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):

  1. Chuhan Zhang, M. Phil, 2019, Ph.D student, Harbin Institute of Technology
  2. Xiaolu Yang, FYP. 2019, Engineer, Tencent
  3. Qiang Huang, Ph. D, 2017, Post-doc , National University of Singapore
  4.  Zhen Wang, Ph.D, 2017, Ali Star , Damo Academy of Alibaba
  5. Zhuobin Deng, M. Phil, 2017, engineer , Baidu
  6. Yikai Zhang, M. Phil, 2016, Ph. D student, Chinese University of HongKong
  7. Yingying Zhou, M. Phil, 2014, SRE engineer , Google at Sydney
  8. Fan Yang , FYP, 2014, engineer, DeepMind
  9. Junhao Gan, M. Phil, 2013, Lecturer , University of Melbourne

主要学术兼职: 

  1. 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

  1. Reviewer

The VLDB Journal, IEEE TKDE, ACM TODS, JCST

  1. External Reviewer

ICDE 2007, ICDE 2008, SIGMOD 2007, SIGKDD 2007, ICDM 2007, WSDM 2008, ICDE 2013.

教授课程: 

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.

  • Locality-Sensitive Hashing for High-Dimensional Similarity Search
    1. #Junhao Gan, Jianlin Feng, Qiong Fang, Wilfred Ng. Locality-sensitive hashing scheme based on dynamic collision counting. ACM SIGMOD Conference 2012: 541-552. (Google Scholar Citation: 200+)
    2. #Qiang Huang , Jianlin Feng, Yikai Zhang, Qiong Fang, Wilfred Ng. Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search. Proc. VLDB Endow. 9(1): 1-12 (2015). (Google Scholar Citation: 120+)
    3. #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. ACM SIGKDD 2018: 1561-1570. 2017. (Google Scholar Citation: 32)
    4. #Qiang Huang , Jianlin Feng, Qiong Fang, Wilfred Ng, Wei Wang. Query-aware locality-sensitive hashing scheme for lp norm. VLDB J. 26(5): 683-708 (2017) (Google Scholar Citation: 25)
    5. #Qiang Huang, Jianlin Feng, Qiong Fang, Wilfred Ng. Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search. IEEE Trans. Knowl. Data Eng. 29(12): 2772-2785 (2017) 
    6. #Qiang Huang, Jianlin Feng, Qiong Fang. Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search. ICDE 2017: 167-170. 
    7. #Zhili Yao, Jiaqiao Zhang, Jianlin Feng. NV-QALSH: An NVM-Optimized Implementation of Query-Aware Locality-Sensitive Hashing. DEXA (2) 2021: 58-69.
    8. #Yikai Huang, Zhili Yao, Jianlin Feng. P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data. IEEE BigData 2021: 629-634.
  • Natural Language Processing
    1. #Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph Embedding by Translating on Hyperplanes. AAAI 2014: 1112-1119. (Google Scholar Citation: 2500+)
    2. #Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph and Text Jointly Embedding. EMNLP 2014: 1591-1601. (Google Scholar Citation: 420+)
    3. #Tieyun Qian, Yuanzhen Wang, Hao Long, Jianlin Feng. 2-PS Based Associative Text Classification. DaWaK 2005: 378-387. 
    4. Jianlin Feng, Huijun Liu, Jing Zou. SAT-MOD: moderate itemset fittest for text classification. WWW (Special interest tracks and posters) 2005: 1054-1055. 
    5. Jianlin Feng, Huijun Liu, Yucai Feng. Sentential Association Based Text Classification Systems. APWeb 2005: 1037-1040. 
  • Data Cube and OLAP
  1. Wei Wang, Jianlin Feng, Hongjun Lu, Jeffrey Xu Yu. Condensed Cube: An Efficient Approach to Reducing Data Cube Size. ICDE 2002: 155-165. (Google Scholar Citation: 275)
  2. Jianlin Feng, Hongjie Si, Yucai Feng. Indexing and Incremental Updating Condensed Data Cube. SSDBM 2003: 23-32. 
  3. Jianlin Feng, Qiong Fang, Hulin Ding. PrefixCube: prefix-sharing condensed data cube. DOLAP 2004: 38-47. 
  4. Changqing Chen, Yucai Feng, Jianlin Feng. View Merging in the Context of View Selection. IDEAS 2002: 33-43.
  • Mining Bucket Orders and Assocaition Rules
  1. Yucai Feng, Jianlin Feng Incremental updating algorithms for mining association rules. Journal of Software 9 (4), 301-306 (Google Scholar Citation: 64).
  2. Jianlin Feng, Qiong Fang, Wilfred Ng. Discovering bucket orders from full rankings. SIGMOD Conference 2008: 55-66. (Google Scholar Citation: 21)
  3. Jianlin Feng, Yucai Feng. Binary Partition Based Algorithms for Mining Association Rules. IEEE/ACM ADL 1998: 30-34.
  • Bioinformatics
  1. Qiong Fang, Wilfred Ng, Jianlin Feng, Yuliang Li. Mining order-preserving submatrices from probabilistic matrices. ACM Trans. Database Syst. 39(1): 6:1-6:43 (2014). 
  2. 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). 
  3. Qiong Fang, Wilfred Ng, Jianlin Feng. Discovering significant relaxed order-preserving submatrices. KDD 2010: 433-442. 
  4. *Qiong Fang, Jianlin Feng, Wilfred Ng. Identifying Differentially Expressed Genes via Weighted Rank Aggregation. ICDM 2011: 1038-1043. 
  5. Qiong Fang, Dewei Su, Wilfred Ng, Jianlin Feng. An Effective Biclustering-Based Framework for Identifying Cell Subpopulations From scRNA-seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2249-2260 (2021)
  • Key-Value Store over Non-Volatile Memory
  1. #Jiaqiao Zhang, Zhili Yao, Jianlin Feng. NCRedis: An NVM-Optimized Redis with Memory Caching. DEXA (2) 2021: 70-76.