Publications

[CGO '25] Enhancing Deployment-time Predictive Model Robustness for Code Analysis and Optimization
Huanting Wang, Patrick Lenihan, Zheng Wang
The 21st ACM/IEEE International Symposium on Code Generationand Optimization (CGO) , 2024.

Preprint Code Dataset

[ACL '24] Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly
Shuoming Zhang, Jiacheng Zhao, Chunwei Xia, Zheng Wang, Yunji Chen, Huimin Cui
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) (Findings) , 2024.

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[ACL '24] Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
Bi Z, Wan Y, Wang Z, Zhang H, Guan B, Lu F, Zhang Z, Sui Y, Jin H, Shi X
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) (Findings) , 2024.

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[ASPLOS '24] Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions
Chunwei Xia, Jiacheng Zhao, Qianqi Sun, Zheng Wang, Yuan Wen, Huimin Cui, Xiaobing Feng
The 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) (~~Artificate Evaluated!~~) , 2024.

Preprint Code Dataset

[IEEE TMC] JavaScript Performance Tuning as A Crowdsourced Service
Jie Ren, Ling Gao, Zheng Wang
IEEE Transactions on Mobile Computing (IEEE TMC) , 2023.

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[IEEE TSUSC] Model-Free GPU Online Energy Optimization
Farui Wang, Hao Meng, Weizhe Zhang, Zheng Wang
IEEE Transactions on Sustainable Computing (IEEE TSUSC) , 2023.

Preprint Code Dataset

[SC '23] Optimizing MPI Collectives on Shared Memory Multi-cores
Jintao Peng, Jianbin Fang, Jie Liu, Min Xie, Yi Dai, Bo Yang, Shengguo Li, Zheng Wang
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2023)(~~One of the four Best Student Paper Finalists!~~) , 2023.

Preprint Code Dataset

[SC '23] Optimizing Direct Convolutions on ARM Multi-Cores
Pengyu Wang, Weiling Yang, Jianbin Fang, Dezun Dong, Chun Huang, Peng Zhang, Tao Tang, Zheng Wang
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2023) , 2023.

Preprint Code Dataset

[ICPP '23] HighRPM: Combining Integrated Measurement and Power Modeling for High-Resolution Power Monitoring
Xinxin Qi, Juan Chen, Yong Dong, Yuan Yuan, Tao Xu, Rongyu Deng, Zheng Wang
The 52nd International Conference on Parallel Processing (ICPP) , 2023.

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[PLARCH '23] ChatGPT, Make a Secure Malloc for me
Jeremy Singer, Zheng Wang
Programming Languages for Architecture; workshop co-located with PLDI 2023 , 2023.

[ICS '23] Optimizing Multi-grid Computation and Parallelization on Multi-cores
Xiaojian Yang, Shengguo Li, Fan Yuan, Dezun Dong, Chun Huang, Zheng Wang
The 25th ACM International Conference on Supercomputing (ICS) , 2023.

Preprint Code Dataset

[IPDPS '23] Memory-aware Optimization for Sequences of Sparse Matrix-Vector Multiplications
Yichen Zhang, Shengguo Li, Fan Yuan, Dezun Dong, Xiaojian Yang, Tiejun Li, Zheng Wang
In 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS) , 2023.

Preprint PDF Code Dataset

[IEEE TPDS] Faster and Scalable MPI Applications Launching
Y Dai, Y Dong, M Xie, K Lu, R Wang, J Chen, M Sha, Zheng Wang
IEEE Transactions on Parallel and Distributed System (IEEE TPDS) , 2022.

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[SC '22] STRONGHOLD: Fast and Affordable Billion-scale Deep Learning Model Training
Xiaoyang Sun, Wei Wang, Shenghao Qiu, Renyu Yang, Songfang Huang, Jie Xu, Zheng Wang
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2022) (CCF Rank-A conference, ~~Artificate Evaluated!~~) , 2022.

Preprint Code Dataset

[SC '22] Towards Scalable Supercomputing Resource Management
Yiqin Dai, Yong Dong, Kai Lu, Ruibo Wang, Wei Zhang, Juan Chen, Mingtian Shao, Zheng Wang
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2022) (CCF Rank-A conference) , 2022.

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[ICDCS '22] AIACC-Training: Optimizing Distributed Deep Learning Training through Multi-streamed and Concurrent Gradient Communications
Lixiang Lin, Shenghao Qiu, Ziqi Yu, Liang You, Long Xin, Xiaoyang Sun, Jie Xu, Zheng Wang
42nd IEEE International Conference on Distributed Computing Systems (ICDCS) , 2022.

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[CC '22] Automating Reinforcement Learning Architecture Design for Code Optimization
Huanting Wang, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather, Zheng Wang
The 31th ACM SIGPLAN 2020 International Conference on Compiler Construction (CC 2022) (~~Artificate Evaluated!~~) , 2022.

Preprint Code Dataset

[IPDPS '22] Parallelizing and Balancing Large-scale Coupled DSMC/PIC Based Particle Simulations
Haozhong Qiu, Chuanfu Xu, Dali Li, Haoyu Wang, Jie Li, Zheng Wang
In 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS) , 2022.

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[IEEE TPDS] Dynamic GPU Energy Optimization for Machine Learning Training Workloads
Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang
IEEE Transactions on Parallel and Distributed System (IEEE TPDS) , 2021.

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[ACM IMWUT] Adaptive Computation Offloading for Mobile Augmented Reality
Jie Ren, Ling Gao, Xiaoming Wang, Miao Ma, Guoyong Qiu, Hai Wang, Jie Zheng, Zheng Wang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) -Ubicomp ‘22 , 2021.

Preprint Code Dataset

[LCPC '21] Optimizing Sparse Matrix Multiplications for Graph Neural Networks
Shenghao Qiu, Liang You, Zheng Wang
The 34th International Workshop on Languages and Compilers for Parallel Computing (LCPC) , 2021.

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[SC '21] LibShalom: Optimizing Small and Irregular-shaped Matrix Multiplications on ARMv8 Multi-Cores
Weiling Wang, Jianbin Fang, Dezun Dong, Zheng Wang
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021) (CCF Rank-A conference) , 2021.

Preprint Code Dataset

[IEEE TPDS] Online Power Management for Multi-cores: A Reinforcement Learning Based Approach
Yiming Wang, Weizhe Zhang, Meng Hao, Zheng Wang
IEEE Transactions on Parallel and Distributed System (IEEE TPDS) , 2021.

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[IEEE TPDS] Optimizing Depthwise Separable Convolution Operations on GPUs
Gangzhao Lu, Weizhe Zhang, Zheng Wang
IEEE Transactions on Parallel and Distributed System (IEEE TPDS) , 2021.

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[LCTES '21] HyFM: Function Merging for Free
Rodrigo Rocha, Pavlos Petoumenos, Zheng Wang, Murray Cole, Kim Hazelwood, Hugh Leather
the 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) (~~Artificate Evaluated~~) , 2021.

Preprint Code

[PLDI '21] Automated Conformance Testing for JavaScript Engines via Deep Compiler Fuzzing
Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Xiaoyang Sun, Lizhong Bian, Haibo Wang, Zheng Wang
the 42nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)(~~Artificate Evaluated~~) (Media Coverage: China Daily, China Science Daily, CN West, Shaanxi Daily) , 2021.

Preprint Code Dataset

[IEEE TC] LIME: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks
H Peng, R Yang, Z Wang, J Li, L He, PS Yu, A Zomaya, R Ranjan
IEEE Transactions on Computers (IEEE TC) , 2021.

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[IJSC] Automatic Translation of Data Parallel Programs for Heterogeneous Parallelism Through OpenMP Offloading
Farui Wang, Weizhe Zhang, Haonan Guo, Meng Hao, Gangzhao Lu, Zheng Wang
The Journal of Supercomputing , 2020.

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[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 International Conference on Parallel Architectures and Compilation Techniques (PACT) , 2020.

PDF Code Dataset

[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~~, ~~HiPEAC Paper Award~~) , 2020.

Preprint Code Dataset

[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 (IEEE TPDS) , 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.

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[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.

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[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 (ACM TECS) , 2019.

Preprint Code

[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

[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.

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[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.

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

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[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.

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[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.

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[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.

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[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.

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[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.

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[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.

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[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.

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[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

[ISSTA '24] UPBEAT: Test Input Checks of Q# Quantum Libraries
Tianming Hu, Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Huanting Wang, Meng Li, Zheng Wang
The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) (~~Artificate Evaluated!~~) , 2024.

Preprint Code Dataset

[ICSE '24] Combining Structured Static Code Information and Dynamic Symbolic Traces for Software Vulnerability Prediction
Huanting Wang, Zhanyong Tang, Shin Hwei Tan, Chunwei Xia, Zheng Wang
The 46th IEEE/ACM International Conference on Software Engineering, is the premier software engineering conference (ICSE) (~~Artificate Evaluated!~~) , 2024.

Preprint Code Dataset

[FSE '23] A Generative and Mutational Approach for Synthesizing Bug-Exposing Test Cases to Guide Compiler Fuzzing
Guixin Ye, Tianmin Hu, Zhanyong Tang, Zhenye Fan, Shin Hwei Tan, Bo Zhang, Wenxiang Qian, Zheng Wang
The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) , 2023.

Preprint Code Dataset

[IEEE TIFS] Combining Graph-based Learning with Automated Data Collection for Code Vulnerability Detection
Huanting Wang, Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Yansong Feng, Lizhong Bian, Zheng Wang
IEEE Transactions on Information Forensics and Security (IEEE TIFS) , 2020.

Preprint Code Dataset

[Computer & Security] Semantics-aware Obfuscation Scheme Prediction for Binary
Yujie Zhao, Zhanyong Tang, Guixin Ye, Dongxu Peng, Dingyi Fang, Xiaojiang Chen, Zheng Wang
Computers and Security , 2020.

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[Computer & Security] Compile-time Code Virtualization for Android Applications
Y Zhao, Z Tang, G Ye, D Peng, D Fang, X Chen, Z. Wang
Computers and Security , 2020.

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[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 (ACM TOPS) , 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.

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[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

[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.

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[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.

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[IEEE IoT-J] Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicle
Jie Zheng, Jipeng Xu, Hongyang Du, Niyato Dusit, Jiawen Kang, Jiangtian Nie, Zheng Wang
IEEE Internet of Things Journal (IEEE IoT-J) , 2024.

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[TMLR] Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
Jiayu Zhao, Renyu Yang, Shenghao Qiu, Zheng Wang
Transactions on Machine Learning Research , 2024.

Preprint Code Dataset

[IEEE TITS] Adaptive Modeling of Uncertainties for Traffic Forecasting
Ying Wu, Yongchao Ye, Adnan Zeb, James J.Q. Yu, Zheng Wang
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS) , 2023.

Preprint Code Dataset

[EMNLP '23] DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2023.

Code Dataset

[IEEE TMC] CARING: Towards Collaborative and Cross-domain Wi-Fi Sensing: A case study for human activity recognition
Xinyi Li, Fengyi Song, Mina Luo, Kang Li, Liqiong Chang, Xiaojiang Chen, Zheng Wang
IEEE Transactions on Mobile Computing (IEEE TMC) , 2023.

Preprint Code Dataset

[ICDM '22] HiGIL: Hierarchical Graph Inference Learning for Fact Checking
Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang
The IEEE International Conference on Data Mining (ICDM) , 2022.

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[ACM IMWUT] Wi-Learner: Towards One-shot Learning for Cross-Domain Wi-Fi based Gesture Recognition
Chao Feng, Nan Wang, Yicheng Jiang, Xia Zheng, Kang Li, Zheng Wang, Xiaojiang Chen
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) -Ubicomp ‘23 , 2022.

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[TASLP '22] Fact-driven Abstractive Summarization by Utilizing Multi-granular Multi-relational Knowledge
Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang
IEEE/ACM Transactions on Audio Speech and Language (TASLP) , 2022.

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[ACL '22] Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang
The 60th Annual Meeting of the Association for Computational Linguistics (ACL) (Findings) , 2022.

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[ICASSP '22] Explicitly Modeling Importance and Coherence for Timeline Summarization
Qianren Mao, Jianxin Li, Jiazheng Wang, Hao Peng, Lihong Wang, Zheng Wang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2022.

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[IEEE TASLP] Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
Q Li, H Peng, J Li, Y Ning, L Wang, PS Yu, Z Wang
IEEE Transactions on Audio, Speech and Language Processing (IEEE TASLP) , 2021.

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[TASLP '21] Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
Qian Li, Hao Peng, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Zheng Wang
IEEE/ACM Transactions on Audio Speech and Language (TASLP) , 2021.

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[IEEE TKDE] Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
Peng Hao, Jianxin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S Yu, Lifang He
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) , 2021.

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[MobiCom '21] RISE: Robust Wireless Sensing using Probabilistic and Statistical Assessments
Shuangjiao Zhai, Zhanyong Tang, Petteri Nurmi, Dingyi Fang, Xiaojiang Chen, Zheng Wang
In The 27th ACM International Conference on Mobile Computing and Networking (MobiCom) , 2021.

Preprint Code Dataset

[ACM IMWUT] CrossGR: Accurate and Low-cost Cross-target Gesture Recognitionusing Wi-Fi
Xinyi Li, Liqiong Chang, Fangfang Song, Ju Wang, Xiaojiang Chen, Zhanyong Tang, Zheng Wang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) -Ubicomp ‘21 , 2021.

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[EMNLP '20] Towards Context-Aware Code Comment Generation
Xiaohan Yu, Quzhe Huang, Zheng Wang, Yansong Feng, Dongyan Zhao
2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2020.

[ACL '20] Neighborhood Matching Network for Entity Alignment
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao
The 58th Annual Meeting of the Association for Computational Linguistics (ACL) (long paper) , 2020.

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[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.

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[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.

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[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.

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[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.

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[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.

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[TON '22] Towards Wide-Area Contactless Wireless Sensing
L Chen, K Chen, J Xiong, K Li, SI Le, F Wang, Z Tang, Z Wang, D Fang, X Chen
IEEE/ACM Transactions on Networking (TON) , 2022.

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[ACM Sense '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: TechXplore, The Engineer ) , 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 Analysis

Software Testing and Systems Security

Applied Machine Learning

Other topics

Patents