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Jinhui Wang

Jinhui Wang

Professor
Electrical and Computer Engineering

Education

  • Postdoc. VLSI Design, University of Rochester, NY, USA
  • Ph.D. Electrical Engineering, Beijing University of Technology, China
  • B.S. Electrical Engineering, Hebei University, China

Research

  • Artificial Intelligence (AI) technology
  • Very-large-scale Integration (VLSI) Circuits and Systems
  • Three-dimensional Integrated Circuit (3D IC) Design
  • Neuromorphic Computing Hardware
  • Emerging Memory Design
  • Cooling Techniques for Electronic Devices
  • Wireless Sensor Networks and IoT
  • Electronic Subsystems for Unmanned Aerial Vehicles (UAV)

Publications

  1. J. Fu, Z. Liao, and J. Wang, 鈥淢emristor-Based Neuromorphic Hardware Improvement for Privacy-Preserving ANN,鈥� IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 27, no. 12, pp. 2745-2754, December 2019. 

  2. J. Fu, Z. Liao, N. Gong, and J. Wang, 鈥淢itigating Nonlinear Effect of Memristive Synaptic Device for Neuromorphic Computing,鈥� IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 9, no. 2, pp. 377-387, June 2019.

  3. J. Edstrom, Y. Gong, A. A. Haidous, B. Humphrey, M. E. McCourt, Y. Xu, J. Wang, and N. Gong, 鈥淐ontent-Adaptive Memory for Viewer-Aware Energy-Quality Scalable Mobile Video Systems,鈥� IEEE Access, vol. 7, pp. 47479-47493, April 2019.

  4. J. Edstrom, D. Chen, Y. Gong, J. Wang, and N. Gong, 鈥淒ata-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data,鈥� IEEE Trans. on Big Data, vol. 5, no. 1, pp. 95-105, January-March 2019. 

  5. D. Chen, J. Edstrom, Y. Gong, P. Gao, L. Yang, M. McCourt, J. Wang, and N. Gong, 鈥淰iewer-Aware Intelligent Efficient Mobile Video Embedded Memory,鈥� IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 4, pp. 684-696, April 2018.

  6. X. Chen, S. A. Pourbakhsh, J. Fu, N. Gong, and J. Wang, 鈥淎 Novel Hybrid Delay Unit Based on Dummy TSVs for 3-D On-Chip Memory,鈥� IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 7, pp. 1277-1289, July 2018. 

  7. J. Edstrom, Y. Gong, D. Chen, J. Wang, and N. Gong, 鈥淒ata-Driven Intelligent Efficient Synaptic Storage for Deep Learning,鈥� IEEE Trans. on Circuits and Systems II, vol. 64, no. 12, pp. 1412-1416, December 2017. 

  8. N. Gong, S. A. Pourbakhsh, X. Chen, X. Wang, D. Chen, and J. Wang, 鈥淪PIDER: Sizing-Priority Based Application-Driven Memory for Mobile Video Applications,鈥� IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 9, pp. 2625-2634, September 2017. 

  9. J. Wang, L. Wang, H. Yin, Z. Wei, Z. Yang, and N. Gong, 鈥渃NV SRAM: CMOS Technology Compatible Non-volatile SRAM Based Ultra-Low Leakage Energy Hybrid Memory System,鈥� IEEE Trans. on Computers, vol. 65, no. 4, pp. 1055-1067, April 2016. 

  10. X. Peng, W. Sansen, L. Hou, J. Wang, and W. Wu, 鈥淚mpedance Adapting Compensation for Low-Power Multistage Amplifiers,鈥� IEEE Journal of Solid-State Circuits, vol. 46, no. 2, pp. 445-451, February 2011.