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Dr Zheng Wang

Formerly at Lancaster University

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  1. Published

    Sensing Our World Using Wireless Signals

    Chen, X., Chen, L., Feng, C., Fang, D., Xiong, J., Cui, Y. & Wang, Z., 19/07/2019, In: IEEE Internet Computing. 23, 3, p. 38-45 8 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    SleepGuard: capturing rich sleep information using smartwatch sensing data

    Chang, L., Lu, J., Wang, J., Chen, X., Fang, D., Tang, Z., Nurmi, P. T. & Wang, Z., 09/2018, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2, 3, 34 p., 98.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Smart multi-task scheduling for OpenCL programs on CPU/GPU heterogeneous platforms

    Wen, Y., Wang, Z. & O'Boyle, M., 2014, 21st Annual IEEE International Conference on High Performance Computing (HiPC 2014). IEEE, 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Smart, adaptive mapping of parallelism in the presence of external workload

    Emani, M. K., Wang, Z. & O'Boyle, M., 02/2013, 2013 International Symposium on Code Generation and Optimization (CGO). IEEE, p. 1-10 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Synthesizing benchmarks for predictive modeling

    Cummins, C., Petoumenos, P., Wang, Z. & Leather, H., 4/02/2017, CGO '17 Proceedings of the 2017 International Symposium on Code Generation and Optimization. New York: ACM, p. 86-99 14 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference

    Qing, Q., Yu, J., Ren, J., Gao, L., Wang, H., Zheng, J., Feng, Y., Fang, J. & Wang, Z., 11/12/2018, The 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, p. 729-736 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping

    Tournavitis, G., Wang, Z., Franke, B. & O'Boyle, M. F. P., 06/2009, In: ACM SIGPLAN Notices. 44, 6, p. 177-187 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping

    Tournavitis, G., Wang, Z., Franke, B. & O'Boyle, M. F. P., 2009, Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2009). New York, NY, USA: ACM, p. 177-187 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    Towards Large-Scale RFID Positioning: A Low-cost, High-precision Solution Based on Compressive Sensing

    Chang, L., Li, X., Wang, J., Meng, H., Chen, X., Fang, D., Tang, Z. & Wang, Z., 19/03/2018, 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    Using machine learning to partition streaming programs

    Wang, Z. & O'Boyle, M., 09/2013, In: ACM Transactions on Architecture and Code Optimization. 10, 3, 25 p., 20.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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