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Dr Weiren Yu

Dr Weiren Yu
Dr Weiren Yu

Lecturer in Computer Science

School of Engineering and Applied Science, Aston University

Room MB 214B, Aston Triangle, Birmingham, B4 7ET    [Google Map] 

  •  w.yu3 AT aston.ac.uk
  •  +44 (0) 121 204 3198

Short Bio

Dr Weiren Yu is a Lecturer (Assistant Professor) of Computer Science in the School of Engineering and Applied Science at Aston University. He is also an Honorary Research Fellow at Imperial College London. Before joining Aston, he was a postdoc at Imperial College London, collaborating with NEC Europe for “Big Data Technologies for Smart Water Systems” Project. He got his PhD degree in 2014 from University of New South Wales (UNSW), Australia. In 2010-2014, he was a research assistant in Commonwealth Scientific and Industrial Research Organisation (CSIRO), and National ICT Australia (NICTA).

Weiren’s research spans web search and information retrieval, graph data management, social networks, data mining and scalable analytics, sensors and IoT, stream databases, and spatial / temporal databases. He is interested in developing effective and efficient data analysis techniques for novel data intensive applications. He received three Best Paper Awards, two CiSRA (Canon Information Systems Research Australia) Best Paper Awards, a One of the Best Papers of ICDE 2013, and a Best Student Paper Award

He has served on various editorial boards, and as PC and an active reviewer of journals (e.g., IEEE Transactions on Knowledge and Data Engineering, The VLDB JournalIEEE Transactions on Information Forensics and Security, ACM Transactions on Knowledge Discovery from Data, World Wide Web Journal, Sensors) and conferences (e.g., SIGIR, SIGMOD, VLDB, ICDE, EDBT, CIKM). He is a Fellow of HEA, and a Member of ACM and IEEE.

NEWS:

PhD Scholarship

We have multiple PhD openings (£15,000/year stipend + £2,000 travel grant) in the areas of big data management, graph databases, web search, and cloud computing. Students with the above interests are welcome to contact me.

(Application deadline: open until filled)

  • 2016 - now, Lecturer in Computer Science, Aston University
  • 2017 - now, Honorary Research Fellow, Imperial College London
  • 2014 - 2016, Postdoc in Department of Computing, Imperial College London
  • 2010 - 2014, PhD in Computer Science, University of New South Wales, Australia
  • 2010 - 2014, Research Assistant, National ICT Australia (NICTA) 

Best Research Paper Awards

  • Best Research Paper Award, The International Electronic Conference on Sensors and Applications (IECSA'15), Jan 2016.
  • CiSRA 2014 Best Research Paper Award ($2,000), Canon Information Systems Research Australia, Dec 2014.
  • CiSRA 2013 Best Research Paper Award ($2,000)Canon Information Systems Research Australia, Dec 2013.
  • One of the Best Papers in IEEE ICDE, The 29th International Conference on Data Engineering (ICDE'13), Apr 2013.
  • Best Student Paper Award, The 12th International Conference on Web-Age Information Management (WAIM'11), Jun 2011.
  • Best Paper Runner-up Award, The 11th International Conference on Web-Age Information Management (WAIM'10), Jun 2010.
  • Best Paper Award, The 12th IEEE International Asia-Pacific Web Conference (APWeb'10), Mar 2010.

Scholarships / Small Grants

  • International Postgraduate Research Scholarship ($24,550 p.a.), 2010 - 2014
  • NICTA Enhanced Top-up Ph.D. Fellowship ($8,000 p.a.), 2010 - 2014
  • Oracle Outstanding Research Grant ($3,000), Apr 2013
  • ACM SIGIR Donald B. Crouch Travel Grants ($2,300), Jul 2013
  • Google Research Travel Grant ($2,500), Jan 2013
  • Postgraduate Research Support Scheme (PRSS) Funding ($3,400), Jul 2012
  • ARC Network Enterprise Information Infrastructure Ph.D. Bursary ($2,200), Dec 2011

 Some Representative Publications

  • W. Yu, and F. Wang. Fast Exact CoSimRank Search on Evolving and Static Graphs. The 27th International World Wide Web Conference (WWW '18). Lyon, France, (10 pages), Accepted, to appear in 2018. 
  • X. Ren, C. Yu, W. Yu, S. Yang, X. Yang, J. McCann, and P. S. Yu. LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy. IEEE Transactions on Information Forensics & Security (IEEE TIFS), Accepted, to appear in 2018. 
  • W. Yu, X. Lin, W. Zhang, and J. McCann. Dynamical SimRank Assessment on Time-Varying Networks. VLDB Journal. 79-104.2017.
    [PDF]
  • W. Yu, and J. McCann. Random Walk with Restart over Dynamic Graphs. The 15th IEEE International Conference on Data Mining (IEEE ICDM '16). Barcelona, Spain, pp.589-598, 2016.
    [PDF]
  • W. Yu, and J. McCann. Efficient Partial-Pairs SimRank Search on Large Graphs. The 41st International Conference on Very Large Data Base (VLDB '15). Hawaii, USA, pp. 569-580, 2015.
    [PDF]
  • W. Yu, and J. McCann. High Quality Graph-Based Similarity Search. The 38th ACM SIGIR International Conference (ACM SIGIR '15). Santiago, Chile, pp. 83-93, 2015.
    [PDF]
  • W. Yu, and J. McCann. Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores. The 53rd Annual Meeting of the Association for Computational Linguistics. (ACL '15). Beijing, China, pp. 327-334, 2015. 
  • W. Yu, X. Lin, and W. Zhang. Fast Incremental SimRank on Link-Evolving Graphs. The 30th IEEE International Conference on Data Engineering (IEEE ICDE '14), Chicago, USA, pp. 304-315, 2014. ** CiSRA Best Research Paper Award ** 
    [PDF]
  • W. Yu, X. Lin, W. Zhang, and J. McCann. Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 27(7): 1810-1823, 2014.
    [PDF]
  • W. Yu, X. Lin, and W. Zhang. Towards Efficient SimRank Computation on Large Networks. The 29th IEEE International Conference on Data Engineering (IEEE ICDE '13), Brisbane, Australia, pp. 601-612, 2013. ** One of the Best Papers ** 
    [PDF]
  • W. Yu, X. Lin, W. Zhang, L. Chang, and J Pei. More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarities Based on Hyperlinks. The 40th International Conference on Very Large Data Base (VLDB '13), Hangzhou, China, pp. 13-24, 2013. ** CiSRA Best Research Paper Award **  
    [PDF]
  • W. Yu, X. Lin, W. Zhang, Y. Zhang, and J. Le. SimFusion+: Extending SimFusion Towards Efficient Estimation on Large and Dynamic Networks. The 35th ACM SIGIR International Conference (ACM SIGIR '12), Portland, USA, pp. 365-374, 2012.
    [PDF]


Full Publication List

2017

  • W. Yu, and F. Wang. Fast Exact CoSimRank Search on Evolving and Static Graphs. The 27th International World Wide Web Conference (WWW'18). Lyon, France, (10 pages) Accepted, to appear in 2018. 
  • X. Ren, C. Yu, W. Yu, S. Yang, X. Yang, J. McCann, and P. S. Yu. LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy. IEEE Transactions on Information Forensics & Security (IEEE TIFS), Accepted, to appear in 2018. 
  • W. Yu, X. Lin, W. Zhang, and J. McCann. Dynamical SimRank Assessment on Time-Varying Networks. VLDB Journal. (33 pages) Accepted, to appear in 2017. 
  • D. Hua, W. Wang, W. Yu, and Y. Wang. Finite-Region Stabilization via Dynamic Output Feedback for 2-D Roesser Models. Mathematical Methods in The Applied Sciences (MMAS), Accepted in December, 2017. (To appear)

2016

  • W. Yu, and J. McCann. Random Walk with Restart over Dynamic Graphs. The 15th IEEE International Conference on Data Mining (IEEE ICDM '16). Barcelona, Spain, pp.589-598 in 2016.
  • S. Kartakis, W. Yu, R. Akhavan, and J. McCann. Adaptive Edge Analytics for Distributed Networked Control of Water Systems. The IEEE International Conference on Internet-of-Things Design and Implementation (IEEE IoTDI '16). Berlin, German, pp.72-82, 2016.
  • X. Ren, C. Yu, W. Yu, S. Yang, X. Yang, and J. McCann.High-Dimensional Crowdsourced Data Distribution Estimation with Local Privacy. The 16th IEEE International Conference on Computer and Information Technology (IEEE CIT’16). Yanuca Island, Fiji, pp. 226-233,2016.

2015

  • W. Yu, and J. McCann. Efficient Partial-Pairs SimRank Search on Large Graphs. The 41st International Conference on Very Large Data Base (VLDB '15). Hawaii, USA, pp. 569-580, 2015.
  • W. Yu, and J. McCann. High Quality Graph-Based Similarity Search. The 38th ACM SIGIR International Conference (ACM SIGIR '15). Santiago, Chile, pp. 83-93, 2015.
  • W. Yu, and J. McCann. Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores. The 53rd Annual Meeting of the Association for Computational Linguistics. (ACL '15). Beijing, China, pp. 327-334, 2015.
  • W. Yu, and J. McCann. Gauging Correct Relative Ranking on Similarity Search. The 24th ACM International Conference on Information and Knowledge Management (ACM CIKM '15). Melbourne, Australia, 2015
  • W. Yu, and J. McCann. Effectively Positioning Water Loss Event in Smart Water Networks. The International Electronic Conference on Sensors and Applications (IECSA '15). pp.1-10, 2015 ** The Best Paper Award **

2014 

  • W. Yu, X. Lin, W. Zhang, and J. McCann. Fast All-Pairs SimRank Assessment on Large Graphs and Bipartite Domains. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 27(7): 1810-1823, 2014.
  • W. Yu, X. Lin, and W. Zhang. Fast Incremental SimRank on Link-Evolving Graphs. The 30th IEEE International Conference on Data Engineering (IEEE ICDE '14), Chicago, USA, pp. 304-315, 2014 ** CiSRA Best Research Paper Award **
  • W. Yu, and J. McCann. Sig-SR: SimRank Search over Singular Graphs.The 37th ACM SIGIR International Conference (ACM SIGIR '14), Brisbane, Australia, pp. 859-863, 2014
  • W. Yu. Efficient Node-to-Node Relevance Assessment Based on Hyperlinks. PhD Thesis, The University of New South Wales, Australia, 2014.
  • B. Lv, W. Yu, L. Wang, and J. McCann. Efficient Processing Node Proximity via Random Walk with Restart. The 16th Asia-Pacific Web Conference. (APWeb '14), Changsha, China, pp. 542-549, 2014

2013

  • W. Yu, X. Lin, W. Zhang, L. Chang, and J Pei. More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarities Based on Hyperlinks. The 40th International Conference on Very Large Data Base (VLDB '13), Hangzhou, China, pp. 13-24, 2013 ** CiSRA Best Research Paper Award **
  • W. Yu, and X. Lin. IRWR: Incremental Random Walk with Restart. The 36th ACM SIGIR International Conference (ACM SIGIR '13), Dublin, Ireland, 2013
  • W. Yu, X. Lin, and W. Zhang. Towards Efficient SimRank Computation on Large Networks. The 29th IEEE International Conference on Data Engineering (IEEE ICDE '13), Brisbane, Australia, pp. 601-612, 2013.  ** One of the Best Papers **

2012

  • W. Yu, X. Lin, W. Zhang, Y. Zhang, and J. Le. SimFusion+: Extending SimFusion Towards Efficient Estimation on Large and Dynamic Networks. The 35th ACM SIGIR International Conference (ACM SIGIR '12), Portland, USA, pp. 365-374, 2012.
  • W. Yu, W. Zhang, X. Lin, Q. Zhang, and J. Le. A Space and Time Efficient Algorithm for SimRank Computation. World Wide Web Journal (WWW Journal), 15(3):327-353, 2012.
  • W. Yu, J. Le, X. Lin, and W. Zhang. On the Efficiency of Estimating Penetrating Rank on Large Graphs. The 24th International Conference on Scientific and Statistical Database Management (SSDBM '12), Crete, Greece, pp. 231-249, 2012.

Before 2012

  • X. Li, W. Yu, J. Le, and B. Yang. ASAP: Towards Accurate, Stable and Accelerative Penetrating-Rank Estimation on Large Graphs. The 12th International Conference on Web-Age Information Management (WAIM '11), Wuhan, China, pp. 415-429, 2011. ** Best Student Paper Award **
  • W. Yu, X. Lin, and J. Le. Taming Computational Complexity: Efficient and Parallel SimRank Optimizations on Undirected Graphs. The 11th International Conference on Web-Age Information Management (WAIM '10), China, pp. 280-296, 2010. ** Best Paper Runner-up Award **
  • W. Yu, X. Lin, and J. Le. A Space and Time Efficient Algorithm for SimRank Computation. The 12th IEEE Asia-Pacific Web Conference (APWeb '10), Busan, Korea, pp. 164-170, 2010. ** Best Paper Award **

Refereed Journal Reviewer

  • IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
  • IEEE Transactions on Information Forensics and Security (IEEE TIFS)
  • IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
  • The VLDB Journal (VLDB J.)
  • ACM Transactions on Knowledge Discovery from Data (ACM TKDD)
  • World Wide Web Journal (WWW J.)
  • Data Mining and Knowledge Discovery (DMKD)
  • Information Systems (IS)
  • International Journal of Software and Informatics (IJSI)
  • IETE Journal of Research
  • Journal of Software (JoS)

Refereed Conference Reviewer

  • ACM SIGIR International Conference (SIGIR)
  • ACM SIGMOD International Conference (SIGMOD)
  • International Conference on Very Large Data Base (VLDB)
  • International Conference on Data Mining (ICDM)
  • Conference on Information and Knowledge Management (CIKM)
  • Database Systems for Advanced Applications (DASFAA)
  • Australian Database Conference (ADC)
  • International Conference on Extending Database Technology (EDBT)
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
  • Data Warehousing and Knowledge Discovery (DaWak)
  • International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
  • International Conference on Web-Age Information Management (WAIM)

Refereed Conference Volunteer

  • ACM SIGIR International Conference (SIGIR), Dublin, Ireland, 2013
  • International Asia-Pacific Web Conference (APWeb), Brisbane, Australia, 2013

Professional Memberships

  • Fellow of HEA
  • Member of ACM
  • Member of IEEE

Teaching Activities

My teaching covers a range of modules at different levels:

  • DC1020 - Systems Development
  • CS2040 - Multimedia Software and Applications
  • CS1060 - Computational Reasoning and Communications

Placement Supervision

I have been supervising a number of placement students:

  • Jeremiah Akpotohwo -  IBM
  • Mohammad Khan - TNT UK
  • Noor Ahmed - Aston IT Services
  • Tarek Ahmed - IBM
  • Mahad Mohamud Adan - Aston IT Services
  • Harpreet Singh - IBM
  • Cristy Justine
  • Amar Ashfaq

Final-Year Projects (FYP) Supervision

I am also mentoring a number of undergraduates for their FYPs.

I am the supervisor of the following PhD students:

  • Fan Wang, 07/2017, Topic: Web Search and Link analysis over Network Data
  • Nilima Dash, 07/2017, Topic: Large-Scale Time Series Analytics for e-Health Data
  • Ruidong Xue, 12/2017, Topic: Spatiotemporal Trajectory Management in Smart Cities