Publications

[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) , 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

[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

[INFOCOM '20] Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions
J Ren, L. Yuan, P. Nurmi, X. Wang, M. Ma, L. Gao, Z. Tang, J. Zhang, Z Wang
IEEE International Conference on Computer Communications (INFOCOM) , 2020.

Preprint

[ACM TECS] Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
V Sanz Marco, B Taylor, Z Wang, Y Elkhatib
ACM Transactions on Embedded Computing Systems (TECS) , 2019.

Preprint Code

[IJPP] Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+
Donglin Chen, Jianbin Fang, Shizhao Chen, Chuanfu Xu, Zheng Wang
International Journal of Parallel Programming (IJPP) , 2019.

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[CGO '19] Function Merging by Sequence Alignment
Rodrigo C. O. Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Hugh Leather
ACM/IEEE International Symposium on Code Generationand Optimization (CGO) (~~Best Paper Award!; Artificate Evaluated.~~) , 2019.

Preprint Code Dataset

[CoNEXT '18] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems
Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Zheng Wang
The 14th ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), long paper (acceptance rate: 17%) , 2018.

PDF Code Dataset

[IJPP] Optimizing Sparse Matrix-Vector Multiplications on An ARMv8-based Many-Core Architecture
Donglin Chen, Jianbin Fang, Shizhao Chen, Chuanfu Xu, Zheng Wang
International Journal of Parallel Programming (IJPP) , 2018.

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[LCTES '18] Adaptive Deep Learning Model Selection on Embedded Systems
Taylor, B., Sanz Marco, V., Wolff, W., Elkhatib, Y., Wang, Z
In The 19th Annual ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) (~~Artificate Evaluated!~~; ~~Highest ranked paper in double-blind review process~~) , 2018.

PDF Code

[IPDPS '18] Auto-tuning Streamed Applications on Intel Xeon Phi
Zhang, P., Fang, J., Tang, T., Yang, C., Wang, Z
In 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS) , 2018.

Preprint Code

[HPCC '18] Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures
Chen, S., Fang, J., Chen, D., Xu, C., Wang, Z
The 20th IEEE International Conference on High Performance Computing and Communications (HPCC) , 2018.

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[Proc. IEEE] Machine Learning in Compiler Optimisation
Zheng Wang, Michael O’Boyle
Proceedings of the IEEE (~~Invited Paper~~) , 2018.

Preprint

[CF '18] MOCL: An Efficient OpenCL Implementation for the Matrix-2000 Architecture
Zhang, P., Fang, J., Tang, T., Yang, C., Wang, Z
In the 15th ACM International Conference on Computing Frontiers (CF) , 2018.

Preprint

[Middleware '17] Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach
Vicent Sanz Marco, Ben Taylor, Barry Porter, Zheng Wang
ACM/IFIP/USENIX Middleware conference (Middleware) , 2017.

Preprint

[PACT '17] End-to-end Deep Learning of Optimization Heuristics
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
The 26th International Conference on Parallel Architectures and Compilation Techniques (PACT) (~~Best Paper Award! Artificate Evaluted!~~) , 2017.

Preprint Code Dataset Slides

[CGO '17] Synthesizing Benchmarks for Predictive Modeling
Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather
International Symposium on Code Generationand Optimization (CGO) (~~Best Paper Award! Artificate Evaluted!~~) , 2017.

Preprint Code Dataset Slides

[CGO '17] Minimizing the cost of iterative compilation with active learning
William Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather
International Symposium on Code Generationand Optimization (CGO) , 2017.

Preprint

[ICDCS '17] Real-Time Power Cycling in Video on Demand Data Centres using Online Bayesian Prediction
Vincent Sanz Marco, Zheng Wang, Barry Porter
The 37th IEEE International Conference on Distributed Computing Systems (ICDCS) , 2017.

[INFOCOM '17] Optimise Web Browsing on Heterogeneous Mobile Platforms: A Machine Learning Based Approach
Jie Ren, Ling Gao, Hai Wang, Zheng Wang
IEEE International Conference on Computer Communications (INFOCOM) , 2017.

Preprint Code Dataset

[LCTES '17] Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems
Ben Taylor, Vicent Sanz Marco, Zheng Wang
The 18th Annual ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) , 2017.

PDF Dataset

[ACM TACO] ALEA: A Fine-grained Energy Profiling Tool
Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Nikos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather
ACM Transaction on Architecture and Code Optimization (ACM TACO) , 2017.

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[ICPADS '15] Power capping: what works, what does not
P. Petoumenos, L. Mukhanov, Z. Wang, H. Leather, D. Nikolopoulos
IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS) , 2015.

Preprint PDF DOI

[ACM TACO] Automatic and Portable Mapping of Data Parallel Programs to OpenCL for GPU-based Heterogeneous Systems
Zheng Wang, Dominik Grewe, Michael O’Boyle
ACM Transaction on Architecture and Code Optimization (ACM TACO) , 2015.

PDF Code

[ACM TACO] Integrating Profile-Driven Parallelism Detection and Machine-Learning Based Mapping
Zheng Wang, Georgios Tournavitis, Bjorn Franke, Michael O’Boyle
ACM Transaction on Architecture and Code Optimization (ACM TACO) , 2014.

PDF

[CC '14] Exploitation of GPUs for the parallelisation of probably parallel legacy code
Z. Wang, D. Powell, B. Franke, M. O’Boyle
23rd International Conference on Compiler Construction (CC) , 2014.

Preprint PDF DOI

[PACT '14] Active learning accelerated automatic heuristic construction for parallel program mapping
W. Ogilvie, P. Petoumenos, Z. Wang, H. Leather
The 23rd international conference on Parallel architectures and compilation (PACT) , 2014.

Preprint PDF DOI

[ACM TACO] Using Machine Learning to Partition Streaming Programs
Zheng Wang, Michael O’Boyle
ACM Transaction on Architecture and Code Optimization (ACM TACO) , 2013.

PDF

[CGO '13] Smart, adaptive mapping of parallelism in the presence of external workload
M. Krishna Emani, Z. Wang, M. O’Boyle
IEEE/ACM International Symposium on Code Generation and Optimization (CGO) , 2013.

Preprint PDF DOI

[CGO '13] Portable mapping of data parallel programs to OpenCL for heterogeneous systems
D. Grewe, Z. Wang, M. O’Boyle
IEEE/ACM International Symposium on Code Generation and Optimization (CGO) (~~Best Presentation Award~~) , 2013.

Preprint PDF Code DOI

Machine Learning Based Mapping of Data and Streaming Parallelism to Multi-cores
Zheng Wang
PhD Thesis, University of Edinburgh , 2011.

PDF

[PACT '10] Partitioning streaming parallelism for multi-cores: a machine learning based approach
Z. Wang, M. F.P. O’Boyle
The 19th International Conference on Parallel Architectures and Compilation Techniques (PACT) (~~Best Paper Award! Best Presentation Award!~~) , 2010.

Preprint PDF Slides DOI

[PLDI '09] Towards a Holistic Approach to Auto-Parallelization - Integrating Profile-Driven Parallelism Detection and Machine-Learning Based Mapping
Georgios Tournavitis, Zheng Wang, Bjorn Franke, Michael O’Boyle
In ACM SIGPLAN Programming Language Design and Implementation (PLDI) (~~HiPEAC Paper Award~~) , 2009.

PDF

[PPoPP '09] Mapping Parallelism to Multi-cores: A Machine Learning Based Approach
Zheng Wang, Michael O’Boyle
In 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) , 2009.

PDF Slides

[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

[CCS '18] Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach
Guixin Ye, Zhanyong Tang, Dingyi Fang, Zhanxing Zhu, Yansong Feng, Zheng Wang
The 25th ACM Conference on Computer and Communications Security (CCS) (~~Best Paper Award Finalist!~~) (~~Wide Media Coverage:~~ ZDNet, Computing, v3, security.nl, india.com, scitecheuropa, digital trends, infosecurity-magazine, techtimes, Xinhua News Agent, Guang Ming Daily (Major Newspaper in China), and many others…) , 2018.

Preprint Code Dataset

[ACM TOPS] A Video-based Attack for Android Pattern Lock
Guixin Ye, Zhanyong Tang, Dingyi Fang, Xiaojiang Chen, Willy Wolff, Adam Aviv, Zheng Wang
ACM Transactions on Privacy and Security (ACM TOPS) , 2018.

Preprint Dataset

[Computer & Security] Find Me A Safe Zone: A Countermeasure for Channel State Information Based Attacks
Jie Zhang, Zhanyong Tang, Li Meng, DingYi Fang, Xiaojiang Chen, Zheng Wang
Computers and Security , 2018.

Preprint

[Computer & Security] Enhance virtual-machine-based code obfuscation security through dynamic bytecode scheduling
K. Kuang, Z. Tang, X. Gong, D. Fang, X. Chen, Z. Wang
Computers and Security , 2018.

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[NDSS '17] Cracking Android Pattern Lock in Five Attempts
G.X Ye, Z.Y Tang, D.Y Fang, X.J Chen, K.I Kim, B. Taylor, Z Wang
The Network and Distributed System Security Symposium 2017 (NDSS) (~~Wide Media Coverage:~~ Daily Mail, The Times, Independent, Mirror, Forbes, and many others…) , 2017.

Preprint Dataset

[ICPADS '17] AppIS: Protect Android Apps Against Runtime Repackaging Attacks
L. Song, Z. Tang, Z. Li, X. Gong, X. Chen, D. Fang, Z Wang
The 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS) , 2017.

Code

[TrustCom '17] SEEAD: A Semantic-based Approach for Automatic Binary Code De-obfuscation
Zhanyong Tang, Lei Wang, Kaiyuan Kuang, Chao Xue, Xiaoqing Gong, Xiaojiang Chen, Dingyi Fang, Zheng Wang
The 16th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom) , 2017.

PDF

[TrustCom '16] Exploiting Dynamic Scheduling for VM-Based Code Obfuscation
K Kuang, Z Tang, X Gong, D Fang, X Chen, T Xing, G Ye, J Zhang, Z Wang
The 15th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom) , 2016.

Preprint

[EMNLP '19] Jointly Learning Entity and Relation Representations for Entity Alignment
Yuting Wu, Xiao Liu, Yansong Feng, Z. Wang, D. Zhao
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2019.

Preprint

[AAAI '19] Lattice CNNs for Matching Based Chinese Question Answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao
The 33rd AAAI Conference on Artificial Intelligence (AAAI) , 2019.

Preprint

[ACM IMWUT] SleepGuard: Capturing Rich Sleep Information using Smartwatch Sensing Data
Liqiong Chang, Jiaqi Lu, Ju Wang, Xiaojiang Chen, Dingyi Fang, Zhanyong Tang, Petteri Nurmi, Zheng Wang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) -Ubicomp ‘18 (~~Media Coverage:~~ The Engineer, News-Medical, ECN, BBC Radio, and many others…) , 2018.

Preprint

[MobiCom '18] CrossSense: Towards Cross-Site and Large-Scale WiFi Sensing
Jie Zhang, Zhanyong Tang, Meng Li, Dingyi Fang, Petteri Nurmi, Zheng Wang
In The 24th ACM International Conference on Mobile Computing and Networking (MobiCom) , 2018.

Preprint Code Dataset Video

[ACL '18] Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
B. Luo, Y. Feng, Z. Wang, S. Huang, R. Yan, D. Zhao
The 56th Annual Meeting of the Association for Computational Linguistics (ACL), Full paper - oral presentation , 2018.

Preprint Dataset

[AAAI '18] Scale Up Event Extraction Learning via Automatic Training Data Generation
Y. Zeng, Y. S. Feng, R. Ma, Z. Wang, R. Yan, C. D. Shi, D. Y. Zhao
The 32th the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) , 2018.

Preprint

[ACL '17] Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao
The 55th Annual Meeting of the Association for Computational Linguistics (ACL), Full paper - oral presentation , 2017.

Preprint

[SENSYS '19] WideSee: Towards Wide-Area Contactless Wireless Sensing
L. Chen, J Xiong, S. V. Lee, K. Chen, D. Han, D. Y. Fang, Z. Y. Tang, Z. Wang
17th ACM Conference on Embedded Networked Sensor Systems (SenSys) (~~Best Paper Award Nomination~~) (Media Coverage: The Engineer, The MediaHQ, TechXplore) , 2019.

Preprint Video

[IJCAI '18] Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach
Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang
27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI) , 2018.

[PerCom '18] Towards Large-Scale RFID Positioning: A Low-cost, High-precision Solution Based on Compressive Sensing
L. Chang, X. Li, J. Wang, H. Meng, X. Chen, D. Fang, Z. Tang, Z. Wang
IEEE International Conference on Pervasive Computing and Communications (PerCom) , 2018.

Preprint

Developing High Performance Applications for the CELL Broadband Engine Processor
Zheng Wang
EDN China , 2006.

Overlay Instruction Accessing Unit and Overlay Instruction Accessing Method
Liang chen, Kuan feng, Zheng Wang, Min Zhu
US patent: US ²⁰⁰⁹⁄_0089507 A1, China patent: CN200710153176.0. , 2009.

Method of Managing Data Movement and Cell Broadband Engine Processor Using the Same SPE
Zheng Wang, Liang Chen, Wenjun Wang, Kuan Feng
US patent: US ²⁰⁰⁹⁄_0049431 A1, China patent: CN200710141856.0 , 2009.

Method and Compiler of Compiling a Program
W. Wang, Z. Wang, X. Zhong
US patent: US ²⁰⁰⁹⁄_0049431 A1, China patent: CN200710141856.0 , 2009.

Code Optimisation and Program Tuning

Systems Security

Applied Machine Learning

Others

Patents