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Publications

Journal Articles

  1. H. Zhang and S. Ko, “Variable-Precision Approximate Floating-Point Multiplier for Efficient Deep Learning Computation,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 5, pp. 2503-2507, May 2022.

  2. L. Markewich, H. Zhang, Y. Xing, N. Lambert-Shirzad, Z. Jiang, R. Lee, Z. Li and S. Ko, “Segmentation for Document Layout Analysis: Not Dead Yet,” in International Journal on Document Analysis and Recognition (IJDAR), Jan 2022.

  3. Y. Wang, H. Zhang, K. Oh, J. Lee, S. Ko, “Energy Efficient Spiking Neural Network Processing Using Approximate Arithmetic Units and Variable Precision Weights,” in Journal of Parallel and Distributed Computing, vol. 158, pp. 164-175, Dec 2021.

  4. M. Asadikouhanjani, H. Zhang, L. Gopalakrishnan, H. Lee and S. Ko, “A Real-Time Architecture for Pruning the Effectual Computations in Deep Neural Networks,” in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 5, pp. 2030-2041, May 2021.

  5. H. Zhang and S. Ko, “Design of Power Efficient Posit Multiplier,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 5, pp. 861-865, May 2020.

  6. Y. Wang, H. Zhang, K. Chae, G. Jin and S. Ko, “Novel Convolutional Neural Network Architecture for Improved Pulmonary Nodule Classification on Computed Tomography,” in Multidimensional Systems and Signal Processing, vol. 31, no. 3, pp. 1163-1183, Jul 2020.

  7. Y. Wang, E. Choi, Y. Choi, H. Zhang, G. Jin and S. Ko, “Breast Cancer Classification in Automated Breast Ultrasound using Multi-View CNN with Transfer Learning,” in Ultrasound in Medicine & Biology, vol. 46, no. 5, pp. 1119-1132, May 2020.

  8. K. Chae, G. Jin, S. Ko, Y. Wang, H. Zhang, E. Choi, H. Choi, “Deep Learning for Classification of A Small (≤2cm) Pulmonary Nodule on CT Imaging: A Preliminary Study,” in Academic Radiology, vol. 27, no. 4, pp. e55-e63, Apr 2020.

  9. H. Zhang, D. Chen and S. Ko, “New Flexible Multiple-Precision Multiply-Accumulate Unit for Deep Neural Network Training and Inference,” in IEEE Transactions on Computers, vol. 69, no. 1, pp. 26-38, Jan 2020.

  10. H. Zhang, D. Chen and S. Ko, “Efficient Multiple-Precision Floating-Point Fused Multiply-Add with Mixed-Precision Support,” in IEEE Transactions on Computers, vol. 68, no. 7, pp. 1035-1048, Jul 2019.

  11. Y. Wang, K. Shahbazi, H. Zhang, K. Oh, J. Lee and S. Ko, “Efficient Spiking Neural Network Training and Inference with Reduced Precision Memory and Computing,” in IET Computers & Digital Techniques, vol. 13, no. 5, pp. 397-404, Sep 2019.

  12. Z. Jiang, H. Zhang, Y. Wang and S. Ko, “Retinal Blood Vessel Segmentation Using Fully Convolutional Network with Transfer Learning,” in Computerized Medical Imaging and Graphics, vol. 68, pp. 1-15, Sep 2018.

  13. H. Zhang, D. Chen and S. Ko, “High Performance and Energy Efficient Single-Precision and Double-Precision Merged Floating-Point Adder on FPGA,” in IET Computers & Digital Techniques, vol. 12, no. 1, pp. 20-29, Jan 2018.

  14. H. Zhang, D. Chen and S. Ko, “Area- and Power-Efficient Iterative Single/Double-Precision Merged Floating-Point Multiplier on FPGA,” in IET Computers & Digital Techniques, vol. 11, no. 4, pp. 149-158, Jul 2017.

  15. L. Han, H. Zhang and S. Ko, “Decimal Floating-Point Fused Multiply-Add with Redundant Internal Encodings,” in IET Computers & Digital Techniques, vol. 10, no. 4, pp. 147-156, Jul 2016.

  16. L. Han, H. Zhang and S. Ko, “Area and Power Efficient Decimal Carry-Free Adder,” in Electronics Letters, vol. 51, no. 23, pp. 1852-1854, Nov 2015.

Conference Papers

  1. H. Zhang and S. Ko, “Variable-Precision Approximate Floating-Point Multiplier for Efficient Deep Learning Computation,” in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), May 2022. Paper appeared in IEEE TCAS-II Special Issue.

  2. H. Zhang H. Xiao, H. Qu and S. Ko, “FPGA-Based Approximate Multiplier for Efficient Neural Computation,” 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Nov 2021, pp. 1-4.

  3. H. Zhang and S. Ko, “Efficient Multiple-Precision Posit Multiplier,” 2021 IEEE International Symposium on Circuits and Systems (ISCAS), May 2021, pp. 1-5.

  4. L. Markewich, Y. Xing, H. Zhang, Z. Jiang, N. Lambert-Shirzad, R. Lee, Z. Li and S. Ko, “Document Structure Extraction: An Exploratory Study,” 2020 Fourth International Workshop on Scientific Document Analysis (SCIDOCA2020), Nov. 2020.

  5. H. Zhang and S. Ko, “Design of Power Efficient Posit Multiplier,” 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Oct 2020. Paper appeared in IEEE TCAS-II Special Issue.

  6. H. Zhang, J. He and S. Ko, “Efficient Posit Multiply-Accumulate Unit Generator for Deep Learning Applications,” 2019 IEEE International Symposium on Circuits and Systems (ISCAS), May 2019, pp. 1-5.

  7. H. Zhang, J. He and S. Ko, “Improved Hybrid Memory Cube for Weight-Sharing Deep Convolutional Neural Networks,” 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Mar 2019, pp. 122-126.

  8. H. Zhang, H. Lee and S. Ko, “Efficient Fixed Floating-Point Merged Mixed-Precision Multiply-Accumulate Unit for Deep Learning Processors,” 2018 IEEE International Symposium on Circuits and Systems (ISCAS), May 2018, pp. 1-5.

Books

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Patents

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