Zheng Wang

Orcid: 0000-0001-6157-0662

Affiliations:
  • University of Leeds, School of Computing, Leeds, UK
  • Lancaster University, School of Computing and Communications, Infolab21, Lancaster, UK (former)


According to our database1, Zheng Wang authored at least 152 papers between 2009 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
JavaScript Performance Tuning as a Crowdsourced Service.
IEEE Trans. Mob. Comput., May, 2024

Faster and Scalable MPI Applications Launching.
IEEE Trans. Parallel Distributed Syst., February, 2024

: Towards Collaborative and Cross-Domain Wi-Fi Sensing: A Case Study for Human Activity Recognition.
IEEE Trans. Mob. Comput., February, 2024

Model-Free GPU Online Energy Optimization.
IEEE Trans. Sustain. Comput., 2024

GraphCube: Interconnection Hierarchy-aware Graph Processing.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023
wrBench: Comparing Cache Architectures and Coherency Protocols on ARMv8 Many-Core Systems.
J. Comput. Sci. Technol., December, 2023

Toward Wide-Area Contactless Wireless Sensing.
IEEE/ACM Trans. Netw., April, 2023

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
IEEE Trans. Knowl. Data Eng., March, 2023

Janus: Latency-Aware Traffic Scheduling for IoT Data Streaming in Edge Environments.
IEEE Trans. Serv. Comput., 2023

Programming bare-metal accelerators with heterogeneous threading models: a case study of Matrix-3000.
Frontiers Inf. Technol. Electron. Eng., 2023

One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms.
CoRR, 2023

Enhancing High-dimensional Bayesian Optimization by Optimizing the Acquisition Function Maximizer Initialization.
CoRR, 2023

A Generative and Mutational Approach for Synthesizing Bug-Exposing Test Cases to Guide Compiler Fuzzing.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Optimizing Direct Convolutions on ARM Multi-Cores.
Proceedings of the International Conference for High Performance Computing, 2023

Optimizing MPI Collectives on Shared Memory Multi-Cores.
Proceedings of the International Conference for High Performance Computing, 2023

Memory-aware Optimization for Sequences of Sparse Matrix-Vector Multiplications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Optimizing Multi-grid Computation and Parallelization on Multi-cores.
Proceedings of the 37th International Conference on Supercomputing, 2023

HighRPM: Combining Integrated Measurement and Sofware Power Modeling for High-Resolution Power Monitoring.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

POINE<sup>2</sup>: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Dynamic GPU Energy Optimization for Machine Learning Training Workloads.
IEEE Trans. Parallel Distributed Syst., 2022

Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach.
IEEE Trans. Parallel Distributed Syst., 2022

Optimizing Depthwise Separable Convolution Operations on GPUs.
IEEE Trans. Parallel Distributed Syst., 2022

Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks.
IEEE Trans. Computers, 2022

Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction.
Frontiers Inf. Technol. Electron. Eng., 2022

Detecting code vulnerabilities by learning from large-scale open source repositories.
J. Inf. Secur. Appl., 2022

Wi-Learner: Towards One-shot Learning for Cross-Domain Wi-Fi based Gesture Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embeddin.
CoRR, 2022

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Towards Scalable Resource Management for Supercomputers.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
Proceedings of the IEEE International Conference on Data Mining, 2022

AIACC-Training: Optimizing Distributed Deep Learning Training through Multi-streamed and Concurrent Gradient Communications.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Explicitly Modeling Importance and Coherence for Timeline Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Model Selection for Video Super Resolution.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Automating reinforcement learning architecture design for code optimization.
Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
eICIC Configuration of Downlink and Uplink Decoupling With SWIPT in 5G Dense IoT HetNets.
IEEE Trans. Wirel. Commun., 2021

Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading.
J. Supercomput., 2021

Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection.
IEEE Trans. Inf. Forensics Secur., 2021

CrossGR: Accurate and Low-cost Cross-target Gesture Recognition Using Wi-Fi.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Adaptive Computation Offloading for Mobile Augmented Reality.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations.
CoRR, 2021

Automated Timeline Length Selection for Flexible Timeline Summarization.
CoRR, 2021

Towards practical 3D ultrasound sensing on commercial-off-the-shelf mobile devices.
Comput. Networks, 2021

LIBSHALOM: optimizing small and irregular-shaped matrix multiplications on ARMv8 multi-cores.
Proceedings of the International Conference for High Performance Computing, 2021

Automated conformance testing for JavaScript engines via deep compiler fuzzing.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

RISE: robust wireless sensing using probabilistic and statistical assessments.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

HyFM: function merging for free.
Proceedings of the LCTES '21: 22nd ACM SIGPLAN/SIGBED International Conference on Languages, 2021

Optimizing Sparse Matrix Multiplications for Graph Neural Networks.
Proceedings of the Languages and Compilers for Parallel Computing, 2021

Characterizing OpenMP Synchronization Implementations on ARMv8 Multi-Cores.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Optimizing Barrier Synchronization on ARMv8 Many-Core Architectures.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures.
IEEE Trans. Parallel Distributed Syst., 2020

Using Generative Adversarial Networks to Break and Protect Text Captchas.
ACM Trans. Priv. Secur., 2020

Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection.
ACM Trans. Embed. Comput. Syst., 2020

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+.
Int. J. Parallel Program., 2020

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
CoRR, 2020

Parallel Programming Models for Heterogeneous Many-Cores : A Survey.
CoRR, 2020

Smart, Adaptive Energy Optimization for Mobile Web Interactions.
CoRR, 2020

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach.
CoRR, 2020

Semantics-aware obfuscation scheme prediction for binary.
Comput. Secur., 2020

Compile-time code virtualization for android applications.
Comput. Secur., 2020

Parallel programming models for heterogeneous many-cores: a comprehensive survey.
CCF Trans. High Perform. Comput., 2020

Effective function merging in the SSA form.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Towards Context-Aware Code Comment Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimizing GPU Memory Transactions for Convolution Operations.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

Vectorization-aware loop unrolling with seed forwarding.
Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020

Neighborhood Matching Network for Entity Alignment.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Network-on-Chip Aware Task Mappings.
Proceedings of the Advanced Computer Architecture - 13th Conference, 2020

Deep Program Structure Modeling Through Multi-Relational Graph-based Learning.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Sensing Our World Using Wireless Signals.
IEEE Internet Comput., 2019

Optimizing Sparse Matrix-Vector Multiplications on an ARMv8-based Many-Core Architecture.
Int. J. Parallel Program., 2019

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores.
CoRR, 2019

Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores.
CoRR, 2019

Find me a safe zone: A countermeasure for channel state information based attacks.
Comput. Secur., 2019

Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Systems.
IEEE Access, 2019

Invalidating Analysis Knowledge for Code Virtualization Protection Through Partition Diversity.
IEEE Access, 2019

Leveraging WebAssembly for Numerical JavaScript Code Virtualization.
IEEE Access, 2019

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

Towards wide-area contactless human sensing: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

WideSee: towards wide-area contactless wireless sensing.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Impedance Control Strategy and Experimental Analysis of Collaborative Robots Based on Torque Feedback.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

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

Auto-Tuning MPI Collective Operations on Large-Scale Parallel Systems.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Jointly Learning Entity and Relation Representations for Entity Alignment.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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

Lattice CNNs for Matching Based Chinese Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Dual-View Ranking with Hardness Assessment for Zero-Shot Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 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.
Proc. IEEE, 2018

SleepGuard: Capturing Rich Sleep Information Using Smartwatch Sensing Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Optimizing Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures.
CoRR, 2018

Adaptive Selection of Deep Learning Models on Embedded Systems.
CoRR, 2018

Machine Learning in Compiler Optimisation.
CoRR, 2018

Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach.
CoRR, 2018

Enhance virtual-machine-based code obfuscation security through dynamic bytecode scheduling.
Comput. Secur., 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

CrossSense: Towards Cross-Site and Large-Scale WiFi Sensing.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

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

To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Auto-tuning Streamed Applications on Intel Xeon Phi.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Adaptive Optimization of Sparse Matrix-Vector Multiplication on Emerging Many-Core Architectures.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

A Combined Deep Learning and Semi-supervised Classification Algorithm for LS Area.
Proceedings of the E-Learning and Games - 12th International Conference, 2018

Proteus: network-aware web browsing on heterogeneous mobile systems.
Proceedings of the 14th International Conference on emerging Networking EXperiments and Technologies, 2018

MOCL: an efficient openCL implementation for the matrix-2000 architecture.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 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.
ACM Trans. Archit. Code Optim., 2017

Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes.
Mob. Inf. Syst., 2017

Energy-aware Web Browsing on Heterogeneous Mobile Platforms.
CoRR, 2017

Exploit dynamic data flows to protect software against semantic attacks.
Proceedings of the 2017 IEEE SmartWorld, 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.
ACM Trans. Archit. Code Optim., 2014

Automatic and Portable Mapping of Data Parallel Programs to OpenCL for GPU-Based Heterogeneous Systems.
ACM Trans. Archit. Code Optim., 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.
ACM Trans. Archit. Code Optim., 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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