Zheng Wang

According to our database1, Zheng Wang authored at least 48 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Find me a safe zone: A countermeasure for channel state information based attacks.
Computers & Security, 2019

Exploiting Binary-Level Code Virtualization to Protect Android Applications Against App Repackaging.
IEEE Access, 2019

Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Function Merging by Sequence Alignment.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018
A Video-based Attack for Android Pattern Lock.
ACM Trans. Priv. Secur., 2018

Enhancing Received Signal Strength-Based Localization through Coverage Hole Detection and Recovery.
Sensors, 2018

Machine Learning in Compiler Optimization.
Proceedings of the IEEE, 2018

SleepGuard: Capturing Rich Sleep Information Using Smartwatch Sensing Data.
IMWUT, 2018

Enhance virtual-machine-based code obfuscation security through dynamic bytecode scheduling.
Computers & Security, 2018

Towards Large-Scale RFID Positioning: A Low-cost, High-precision Solution Based on Compressive Sensing.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Adaptive deep learning model selection on embedded systems.
Proceedings of the 19th ACM SIGPLAN/SIGBED International Conference on Languages, 2018

Exploiting Code Diversity to Enhance Code Virtualization Protection.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Scale Up Event Extraction Learning via Automatic Training Data Generation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
ALEA: A Fine-Grained Energy Profiling Tool.
TACO, 2017

Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes.
Mobile Information Systems, 2017

SEEAD: A Semantic-Based Approach for Automatic Binary Code De-obfuscation.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Cracking Android Pattern Lock in Five Attempts.
Proceedings of the 24th Annual Network and Distributed System Security Symposium, 2017

Improving spark application throughput via memory aware task co-location: a mixture of experts approach.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017

Adaptive optimization for OpenCL programs on embedded heterogeneous systems.
Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages, 2017

Optimise web browsing on heterogeneous mobile platforms: A machine learning based approach.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

AppIS: Protect Android Apps Against Runtime Repackaging Attacks.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Real-Time Power Cycling in Video on Demand Data Centres Using Online Bayesian Prediction.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

DexPro: A Bytecode Level Code Protection System for Android Applications.
Proceedings of the Cyberspace Safety and Security - 9th International Symposium, 2017

Protect Sensitive Information against Channel State Information Based Attacks.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Minimizing the cost of iterative compilation with active learning.
Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

Synthesizing benchmarks for predictive modeling.
Proceedings of the 2017 International Symposium on Code Generation and Optimization, 2017

Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

End-to-End Deep Learning of Optimization Heuristics.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016
Exploiting Dynamic Scheduling for VM-Based Code Obfuscation.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Convolution BiLSTM Neural Network Model for Chinese Event Extraction.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Improving First Order Temporal Fact Extraction with Unreliable Data.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

2015
Power Capping: What Works, What Does Not.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

2014
Integrating profile-driven parallelism detection and machine-learning-based mapping.
TACO, 2014

Automatic and Portable Mapping of Data Parallel Programs to OpenCL for GPU-Based Heterogeneous Systems.
TACO, 2014

Fast Automatic Heuristic Construction Using Active Learning.
Proceedings of the Languages and Compilers for Parallel Computing, 2014

Smart multi-task scheduling for OpenCL programs on CPU/GPU heterogeneous platforms.
Proceedings of the 21st International Conference on High Performance Computing, 2014

Exploitation of GPUs for the Parallelisation of Probably Parallel Legacy Code.
Proceedings of the Compiler Construction - 23rd International Conference, 2014

Active learning accelerated automatic heuristic construction for parallel program mapping.
Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013
Using machine learning to partition streaming programs.
TACO, 2013

OpenCL Task Partitioning in the Presence of GPU Contention.
Proceedings of the Languages and Compilers for Parallel Computing, 2013

Portable mapping of data parallel programs to OpenCL for heterogeneous systems.
Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, 2013

Smart, adaptive mapping of parallelism in the presence of external workload.
Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, 2013

2011
Machine learning based mapping of data and streaming parallelism to multi-cores.
PhD thesis, 2011

A workload-aware mapping approach for data-parallel programs.
Proceedings of the High Performance Embedded Architectures and Compilers, 2011

2010
Partitioning streaming parallelism for multi-cores: a machine learning based approach.
Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques, 2010

2009
Mapping parallelism to multi-cores: a machine learning based approach.
Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2009

Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping.
Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, 2009


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