Zheng Wang

Systems Researcher

University of Leeds

Zheng Wang

My research agenda is to make parallel software development easier and more accessible. To that end, I am interested in many aspects of parallel computing, including compilers, programming models, parallel computing, runtime systems, and systems security. My work often uses machine learning as a design methodology.

I maintain a list of must read reasearch papers for machine learning in compilers.

I am a recipient of the Best Paper Award in PACT 2010, CGO 2017, PACT 2017, CGO 2019, Best Presentation Award at PACT 2010, CGO 2013, a HiPEAC paper award in 2009, and Best Paper Nomination/Finalist in CCS 2018 and SenSys 2019.

June, 2020: I have two fully funded PhD studentships available. Being an advisor to students is the best part of my job. Have a look at my research interests and recent publications. If any of those grab you, send me with a CV and a short text describing your background. Please read here before apply.

News

[July, 2020] Our work on using graph neural networks to model program structures got accepted by ACM PACT 2020
[April, 2020] A long paper on knowledge graph alignment got accepted by ACL 2020
[April, 2020] New grant funded by Royal Society for parallel programming models
[Feb, 2020] Our paper on code size reduction in the SSA form got accepted by ACM PLDI 2020
[Feb, 2020] Our paper on optimising stream parallelism got accepted by IEEE Transactions on Parallel & Distributed Systems
[Jan, 2020] One paper got accepted by ACM Transactions on Privacy and Security.
[Dec, 2019] Our work on SLP vectorizaiton-aware loop unrolling got accepted by ACM CC 2020
[Nov, 2019] WideSee was nominated for the best paper award at ACM SenSys 2019
[Feb, 2019] Received the Best Paper Award at CGO ‘19
[October, 2018] Our ACM CCS 2018 submission was among the best paper award finalists! (top-4 ranked papers)

Research Team

PhD Students

Rodrigo Caetano Rocha 10 / 2016 -, co-supervise with Hugh Leather and Murray Cole from the University of Edinburgh
Shuangjiao Zhai, 09/2019 -, co-supervised with Dingyi Fang from Northwest University
Jiayu Zhao, 10 / 2020 -
Shenghao Qiu, 10 / 2020 -
Haibo Wang, 10 / 2020 -, Leeds-SUSTech Joint PhD program (co-supervise with Shin Hwei Tan from SUSTech).
Bader Alanazi, 10 / 2020-,
Yin Wu, 03 / 2021 -, Leeds-SUSTech Joint PhD program (co-supervise with James Jianqiao Yu from SUSTech).
Yachao Zhu, 2021 -

Postgraduate Students

Huanting Wang (MPhil, co-supervised with Zhanyong Tang from Northwest University) 2018-2021
Menghuan Zhang (MPhil) 2018 - 2021
Hui Feng (MPhil) 2018 - 2021
Zhen Chen (MPhil) 2019 - 2022
Bing Zhou (MPhil) 2020 - 2023

Alumni

Ben Taylor (PhD Student) - now with Transport for the North
Vicent Sanz Marco (PDRA) - now Assistant professor at Osaka University, Japan
Volker Seeker (PDRA) - now with University of Edinburgh
Peng Zhang (co-supervised PhD student) - now assistant professor at NUDT.
Guixin Ye (co-supervised PhD student) - now assistant professor at Northwest University
Jie Zhang (co-supervised PhD student) - now assistant professor at Xi’an University of Posts and Telecommunications
William Ogilvie 09 / 2014 - 01 / 2018 (PhD student, co-supervise with Hugh Leather from the University of Edinburgh) - first job: Amazon
Jie Ren (Visiting PhD student, 09 / 2015 - 03 / 2016, visiting scholar, 03/2019 - 03/2020) - Now Assistant Professor at ShaanXi Normal University, China

Awards

Best Paper Award: ACM/IEEE PACT 2010, ACM/IEEE CGO 2017, ACM/IEEE PACT 2017, ACM/IEEE CGO 2019
Best Paper Nomination: ACM CCS 2018, ACM SenSys 2019
Best Presentation Award: ACM/IEEE PACT 2010, ACM/IEEE CGO 2013
HiPEAC Paper Award: PLDI 2009
IBM Bravo Award for outstanding technical contribution to Software Development Toolkit for IBM CELL BroadBand Engine Processor, IBM: 2007

Recent Publications

More Publications

Google Scholar | DBLP

[PACT '20] Deep Program Structure Modeling Through Multi-Relational Graph-based Learning
Guixin Ye, Zhanyong Tang, Huanting Wang, Jianbin Fang, Songfang Huang, Zheng Wang
The 29th ACM/IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT) , 2020.

PDF

[PLDI '20] Effective Function Merging in the SSA Form
Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather
the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) (~~Artificate Evaluated~~) , 2020.

Preprint

[IEEE TPDS] Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures
Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang
IEEE Transactions on Parallel and Distributed System , 2020.

Preprint Code

[ACM TOPS] Using Generative Adversarial Networks to Break and Protect Text Captchas
Guixin Ye, Zhanyong Tang, Dingyi Fang, Zhanxing Zhu, Yansong Feng, Zheng Wang
ACM Transactions on Privacy and Security , 2020.

Preprint Code Dataset

[CC '20] Vectorization-Aware Loop Unrolling with Seed Forwarding
Rodrigo C. O. Rocha, Vasileios Porpodas, Pavlos Petoumenos, Luis F. W. Goes, Zheng Wang, Murray Cole, Hugh Leather
The 29th ACM SIGPLAN 2020 International Conference on Compiler Construction (CC 2020) , 2020.

Preprint

Projects

Toward Easy Parallel Programming

The Royal Society International Collaboration Grant, PI, 03/2020 - 03/2022

Socially Responsible AI for Distributed Autonomous Systems

White Rose Collaboration Grant, CoI, 2020 - 2021

CIDER: Crowd-based Intelligent Design of EnviRonment

Research England, CoI, 2020

GEM: translational software for outbreak analysis

WelcomeTrust, Co-PI, 2020 - 2021

Software Bug Detection and Fix Generation by Learning from Large Code Examples

The Royal Society International Collaboration Grant, PI, 03/2017 - 03/2019

Energy and Performance Optimisation for Mobile Systems

EPSRC iCASE Studentship with ARM Ltd, PI, 02/2016 - 08/2019

SANDeRs: Smart, Adaptive Compilation for Dark Silicon

EPSRC, PI, 06 / 2015 - 12 / 2017

DIVIDEND: Distributed Heterogeneous Vertically IntegrateD ENergy Efficient Data centres

EPSRC, PI, 01 / 2015 - 12 / 2016

ALEA: Abstraction-Level Energy Accounting for Many-core Programming Languages

EPSRC, CoI, 12 / 2013 - 12 / 2016

Energy and Performance Optimisaiton on Mobile

Lancaster FST Small Grant, PI, 01 / 2014 - 12 / 2014

Energy-efficient Optimisation for Data Centres

Lancaster University Early Career Grant, PI, 09 / 2013 - 08 / 2014

Teaching

Teaching @ Lancaster University

SCC.311 Distributed Systems, 2013-2018
SCC.369 Embedded Systems, 2016-2018
SCC.120 Fundamentals of Computer Science, 2015-2017
SCC.360 Computer Science Seminars, 2013

Services

Professional Services

Program/General Chair: COSMIC 2019 @ CGO 2019, COSMIC 2017 @ CGO 2017, COSMIC 2015 @ CGO 2015, COSMIC 2013 @ CGO 2013, HiPEAC Thematic Session 2013 and 2016
Artifact Evaluation Chair: PACT 2016
Lightning Talk Chair: PLDI 2017
Program Committee Member: IJCAI ‘21, IEEE TPDS Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL 2020, AACL ‘20, IPDPS ‘20, CGO ‘20, PPoPP ‘20, Challenge ‘20, NPC ‘19, Aorta @ ECOOP ‘19, ACL ‘19, IJCAI ‘19, IPDPS ‘19, ICAC ‘19, PACT ‘18, NPC ‘18, ICPADS ‘18, COLING ‘18, INFOCOMP ‘18, ICAC ‘18, ParCo ‘17, CC ‘16, ERPP ‘15, ML4PL ‘15, ParCo ‘15, ICPP-EMS ‘15, PASA ‘14, PASA ‘13, ITCS ‘12, ITCS ‘11, ICPADS ‘09
External Review Committee Member: CGO 2018, CGO 2015, PLDI 2014, HPCA 2015, HiPEAC 2011

Biography

July 2018 -, Associate Professor, School of Computing, University of Leeds
August 2018 - July 2019, Senior Lecturer, School of Computing and Communications, Lancaster University.
Sept 2013 - July, 2018, Lecturer, School of Computing and Communications, Lancaster University.
2012 - 2013, Research Associate, the University of Edinbugh.
2007 - 2011, PhD Student, the University of Edinburgh. Aademic advisor: Michael O’Boyle. Nominated for BCS Distinguished Dissertation Award;
2005 - 2007, Research Staff member, IBM Research

Contact

{initial}.{lastname}5 [at] {leeds.ac.uk}
zwanghk
School of Computing, University of Leeds, Leeds LS2 9JT, United Kingdom
Please email me for an appointment