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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, “Memristor-Based Neuromorphic Hardware Improvement for Privacy-Preserving ANN,” 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, “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.

  3. 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.

  4. 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, January-March 2019. 

  5. 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.

  6. 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, July 2018. 

  7. 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, December 2017. 

  8. 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, September 2017. 

  9. 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. 

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