Selected Journal Publications
- J. Liu, N. Gong, and H. Das, “Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory,” IEEE Transactions on Dependable and Secure Computing, accepted. (J. Liu and N. Gong contributed equally to the work as the first authors.)
- J. Liu and N. Gong, "Privacy By Memory Design: Visions and Open Problems," IEEE Micro, vol. 44, no. 1, pp. 49 – 58, January 2024.
- H. Das, A. Haidous, S. Smith and N. Gong, “Approximate Memory for Low-Power Video Applications,” IEEE Access, vol. 11, pp. 57735 - 57744, June 2023.
- A. A. Haidous, W. Oswald, H. Das, and N. Gong, “Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming,” IEEE Access, vol. 10, pp. 26830 – 26848, Mar. 2022.
- H. Das, A. Haidous, S. Smith, and N. Gong, “Flexible Low-Cost Power-Efficient Video Memory with ECC-Adaptation,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 29, no. 10, pp. 1693 – 1706, Aug. 2021. (H. Das and A. Haidous contributed equally to the work as the first authors.)
- Y. Xu, D. Hritom, and N. Gong, “Application-Aware Quality-Energy Optimization: Mathematical Models Enabled Simultaneous Quality and Energy-Sensitive Optimal Memory Design,” to appear in IEEE Trans. on Sustainable Computing, vol. 6, no. 4, pp. 559 - 571, Oct. 2021.
- J. Edstrom, H. Das, Y. Xu, and N. Gong, “Memory Optimization for Energy-Efficient Differentially Private Deep Learning,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 2, pp. 307-316, Feb. 2020.
- Y. Xu, D. Hritom, Y. Gong and N. Gong, “On Mathematical Models of Optimal Video Memory Design,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 30, no. 1, pp. 256-266, Jan. 2020.
- X. Li and N. Gong, “Run-time Deep Learning Enhanced Fast Coding Unit Decision for High Efficiency Video Coding,” Journal of Circuits, Systems, and Computers, vol. 29, no. 3, pp. 1-19, 2020.
- J. Fu, Z. Liao, N. Gong, and J. Wang, “Mitigating Nonlinear Effect of Memristive Synaptic Device for Neuromorphic Computing,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 9, no. 2, pp. 377-387, June 2019.
- J. Edstrom, Y. Gong, A. A. Haidous, B. Humphrey, M. E. McCourt, Y. Xu, J. Wang and N. Gong, “Content-Adaptive Memory for Viewer-Aware Energy-Quality Scalable Mobile Video Systems,” IEEE Access, vol. 7, pp. 47479 - 47493, April 2019.
- J. Edstrom, D. Chen, Y. Gong, J. Wang, and N. Gong, “Data-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data,” IEEE Trans. on Big Data, vol. 5, no. 1, pp. 95-105, March 2019.
- D. Chen, J. Edstrom, Y. Gong, P. Gao, L. Yang, M. McCourt, J. Wang, and N. Gong, “Viewer-Aware Intelligent Efficient Mobile Video Embedded Memory,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 4, pp. 684-696, April 2018.
- X. Chen, S. A. Pourbakhsh, J. Fu, N. Gong, and J. Wang, “A Novel Hybrid Delay Unit Based on Dummy TSVs for 3-D On-Chip Memory,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 7, pp. 1277-1289, March 2018.
- J. Edstrom, Y. Gong, D. Chen, J. Wang, and N. Gong, “Data-Driven Intelligent Efficient Synaptic Storage for Deep Learning,” IEEE Trans. on Circuits and Systems II, vol. 64, no. 12, pp. 1412-1416, October 2017.
- N. Gong, S. A. Pourbakhsh, X. Chen, X. Wang, D. Chen, and J. Wang, “SPIDER: Sizing-Priority Based Application-Driven Memory for Mobile Video Applications,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 9, pp. 2625 - 2634, June 2017.
- J. Wang, N. Gong, and Eby G. Friedman, “PNS-FCR: Flexible Charge Recycling Dynamic Circuit Technique for Low Power Microprocessors,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 2, pp. 613-624, Feb. 2016.
- J. Wang, L. Wang, H. Yin, Z. Wei, Z. Yang, and N. Gong, “cNV SRAM: CMOS Technology Compatible Non-volatile SRAM Based Ultra-Low Leakage Energy Hybrid Memory System,” IEEE Trans. on Computers, vol. 65, no. 4, pp. 1055-1067, April 2016.
- L. Hou, J. Fu, J. Wang, and N. Gong, “A Novel Thermal-aware Structure of TSV Cluster in 3D IC,” Elsevier's Microelectronic Engineering, vol. 153, no. 3, pp. 110-116, March 2016.
- N. Gong, J. Wang, S. Jiang, R. Sridhar, “TM-RF: Aging Aware Power Efficient Register File Design for Modern Microprocessors,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 7, pp. 1196-1209, July 2015.
- N. Gong, J. Wang, R. Sridhar, “Variation Aware Sleep Vector Selection in Dual Vt Dynamic OR Circuits for Low Leakage Register File Design,” IEEE Trans. on Circuits and Systems I, vol. 61, no. 7, pp. 1970-1983, July 2014.
- N. Gong, S. Jiang, A. Challapalli, S. Fernandes, and R. Sridhar, “Ultra-Low Voltage Split-data-aware Embedded SRAM for Mobile Video Applications,” IEEE Trans. on Circuits and Systems II, vol. 59, no. 12, pp. 883-887, December 2012.
- N. Gong, J. Wang, S. Jiang, and R. Sridhar, “Clock-Biased Local Bit Line for High Performance Register Files,” IET’s Electronics Letters, vol. 48, no. 18, pp. 1104-1105, August 2012.
- N. Gong, S. Jiang, J. Wang, B. Aravamudhan, K. Sekar, and R. Sridhar, “Hybrid-Cell Register Files Design for Improving NBTI Reliability,” Elsevier’s Microelectronics Reliability, vol. 52, no. 9, pp. 1865-1869, September–October 2012.
- J. Wang, N. Gong, L. Hou, X. Peng, R. Sridhar, and W. Wu, “Leakage Current, Active power, and Delay Analysis of Dynamic Dual Vt CMOS Circuits under P-V-T Fluctuations,” Elsevier’s Microelectronics Reliability, vol. 51, no. 9, pp. 1498-1502, September 2011.
- J. Wang, N. Gong, L. Hou, X. Peng, S. Geng, and W. Wu, “Low Power and High Performance Dynamic CMOS XOR/XNOR Gate Design,” Elsevier’s Microelectronic Engineering, vol. 88, no. 8, pp. 2781-2784, August 2011.
- N. Gong, B. Guo, J. Lou, and J. Wang, “Analysis and Optimization of Leakage Current Characteristics in Sub-65nm Dual Vt Footed Domino Circuits,” Elsevier’s Microelectronics Journal, vol. 39, no. 9, pp. 1149-1155, September 2008,
- B. Guo, N. Gong, and F. Yu, “Calculations of Two Dimensional Electron Gas Distributions in AlGaN/GaN Material System,” Chinese Physics, vol. 17, no. 1, pp. 290-295, January 2008.
- B. Guo, N. Gong, and J. Shi, “Monte Carlo Simulation of the Hole Transport Properties for Wurtzite GaN,” Chinese Physics, vol. 55, no. 5, pp. 2470-2475, May 2006.
- B. Guo, N. Gong, and J. Wang, “Designing Leakage-Tolerant and Noise-Immune Enhanced Low Power Wide OR Dominos in Sub-70nm CMOS Technologies,” Journal of semiconductors, vol. 5, no. 5, pp. 804-811, May 2006.
- S. J. Leavesley, S. Johnson, S. S. Paudel, J. M. Knighten, D. T. Tambe, M. Francis, N. Gong, M. S. Taylor, and T. C. Rich, “Combined hyperspectral imaging, monolayer stress microscopy, and S8 image analysis approaches for simultaneously interrogating cellular signals and biomechanics,” in Proc. SPIE 12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI, 123830D, March 2023.
- P. Sen, J. M. Knighten, T. Aziz, C. Macarilla, N. Gong, M. S. Taylor, and C. M. Francis, “Dynamic region of interest histometric analysis of endogenous calcium activity in intact lung tissue”, in Proc. SPIE 12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI, 123830A, March 2023.
- S. Zha, N. Gong, and E. Bosarge, “Impact of RET Summer Program Designs on Teachers’ Technological-Content Knowledge and Lesson Plan Development Outcomes,” in Proc. ASEE 130th Annual Conference & Exposition (ASEE’23), Jun. 2023 (ASEE-SE Thomas C. Evans Engineering Education Paper Award).
- N. Gong and S. Zha, “Research Experiences for Teachers Summer Program in Biologically-inspired Computing Systems,” in Proc. ASEE 129th Annual Conference & Exposition (ASEE’22), Jun. 2022.
- J. Fu, Z. Liao, N. Gong, and J. Wang, “Linear Optimization for Memristive Device in Neuromorphic Hardware,” in Proc. IEEE Computer Society Annual Symposium on VLSI (ISVLSI’19), Miami, FL, 2019 (Best Paper Nomination).
- J. Edstrom, Y. Gong, B. Humphrey, M. McCourt, Y. Xu, J. Wang, and N. Gong, “Enabling Hardware Efficiency with Viewer’s Experience: Content-Aware Video Memory with Energy-Quality Adaptation,” 2018 55th ACM/EDAC/IEEE Design Automation Conference (DAC’18), Work-in-progress Session, 2018.
- Y. Gong, Z. Lin, J. Wang, and N. Gong, “Development of Low-Cost Portable Embedded Device for Welding Quality Control,” in Proc. 2018 IS&T International Symposium on Electronic Imaging (EI 2018), 2018.
- P. Gao, M. E. McCourt, J. Wang, and N. Gong, “Viewer-Aware Intelligent Mobile Video System for Prolonged Battery Life,” in Proc. 2018 IS&T International Symposium on Electronic Imaging (EI 2018), 2018.
- H. Das, Y. Gong, Y. Xu, J. Wang, and N. Gong, “Analytical-Optimization-Model-Driven Energy-Quality Adaptive Memory Framework for Big Video Applications,” in Proc. Government Microcircuit Applications & Critical Technology Conference (GOMACTech’18), 2018.
- Y. Wang, J. Fu, Z. Liao, N. Gong, and J. Wang, “Smart Cooling Package for Integrated Circuits using Nanomaterials with Tunable Thermal Conductivity,” in Proc. Government Microcircuit Applications & Critical Technology Conference (GOMACTech’18), 2018.
- J. Edstrom, D. Chen, Y. Gong, J. Wang, and N. Gong, “Bringing Offline Mining to Online Learning System: Low-Cost and Efficient Self-Healing Synaptic Storage for Deep Learning,” IEEE International Symposium on Circuits and Systems (ISCAS), 2017, Baltimore, MD, accepted as Late Breaking News.
- H. Pan, R. Ge, J. Wang, N. Gong, and Z. Lin, “Integrated Wireless Sensor Networks with UAS for Damage Detection and Monitoring of Bridges and Other Large-Scale Critical Civil Infrastructures,” in Proc. NDE/NDT for Highways & Bridges: Structural Materials Technology, 2016.
- J. Edstrom, D. Chen, J. Wang, M. McCourt, and N. Gong, “Luminance Adaptive Smart Video Storage System,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), 2016.
- N. Gong, J. Edstrom, D. Chen, and J. Wang, “Data-Pattern Enabled Self-Recovery Multimedia Storage System for Near-Threshold Computing,” in Proc. IEEE International Conference on Computer Design (ICCD'16), Phoenix, AZ, Oct. 2016.
- D. Chen, J. Edstrom, X. Chen, W. Jin, J. Wang, and N. Gong, “Data-Driven Low-Cost On-Chip Memory with Adaptive Power-Quality Trade-off for Mobile Video Streaming,” in Proc. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED'16), San Francisco, CA, 2016 (Best Paper Nomination).
- X. Chen, S. A. Pourbakhsh, N. Gong, and J. Wang, “Dummy TSV Based Bit-line Optimization in 3D On-chip Memory,” in Proc. 2016 IEEE International Conference on Electro/Information Technology, Grand Forks, ND, 2016 (Best Paper Award).
- S. A. Pourbakhsh, X. Chen, D. Chen, X. Wang, N. Gong, J. Wang, “Sizing-Priority Based Low-Power Embedded Memory for Mobile Video Applications,” in Proc. IEEE International Symposium on Quality Electronic Design (ISQED), 2016 (Best Paper Nomination).
- J. Wang and N. Gong, “WIECE: Women Undergraduates in Electrical and Computer Engineering Summer Research Program,” in Proc. ASEE 123rd Annual Conference & Exposition (ASEE’16), Jun. 2016, pp. 24-30.
- N. Gong and J. Wang, “ECE-GIRLS: High School Girls Explore Electrical and Computer Engineering,” in Proc. ASEE 123rd Annual Conference & Exposition (ASEE’16), Jun. 2016, pp. 24-30.
- D. Chen, X. Wang, J. Wang, and N. Gong, “VCAS: Viewing Context Aware Power-Efficient Mobile Video Embedded Memory,” in Proc. IEEE International SoC Conference (SoCC’15), Sep. 2015, pp. 333-338.
- N. Gong, J. Wang, and R. Sridhar, “Application-Driven Power Efficient ALU Design Methodology for Modern Microprocessors,” in Proc. IEEE International Symposium on Quality Electronic Design (ISQED’13), 2013, Santa Clara, CA, 184-188.
- N. Gong, S. Jiang, A. Challapalli, M. Panesar, and R. Sridhar, “Variation-and-Aging Aware Low Power embedded SRAM for Multimedia Applications,” in Proc. 25th IEEE International SoC Conference (SoCC’12), 2012, Niagara Falls, NY, USA, 21-26.
- N. Gong and R. Sridhar, “Optimization and Predication of Leakage Current Characteristics in Wide Domino OR Gates under PVT Variation,” in Proc. 23rd IEEE International SoC Conference (SoCC’10), 2010, Las Vegas, USA, 19-24.