Zhang Shilong

Ph.D. candidate, School of EE, KAIST

  • location
    291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
  • Office
    School of Electrical Engineering (E3-2), 5219

Education

  • KAIST, School of Electrical Engineering Ph.D. (M.S. integrated) (Sep. 2023 – Present)
  • KAIST, School of Electrical Engineering M.S. (Sep. 2022 – Aug. 2023)
  • KAIST, School of Electrical Engineering B.S. (Sep. 2018 – Jun. 2022)
  • The Middle School Attached to Sichuan University (Sep. 2015 – Jun. 2018)

Honors

Research Interests

  • Design automation

Publications

Journal Papers

  • Seohyun Kim, Shilong Zhang, and Youngsoo Shin, “ML-guided curvilinear OPC: fast, accurate, and manufacturable curve correction,” IEEE Transactions on Semiconductor Manufacturing, submitted.
  • Taeyoung Kim, Shilong Zhang, and Youngsoo Shin, “Model-based OPC with adaptive PID control through reinforcement learning,” IEEE Transactions on Semiconductor Manufacturing, submitted.

Conference Papers

  • Minseung Shin, Shilong Zhang, Geuna Chang, and Youngsoo Shin, “On-Chip Decoupling Capacitor Placement with Impedance Constraint for DRAM Design,” Proc. Design Automation Conf. (DAC), submitted.
  • Minseung Shin, Shilong Zhang, and Youngsoo Shin, “Fast and accurate analysis of power distribution network impedance for DRAM Design,” Proc. Int’l Symp. on Circuits and Systems (ISCAS), submitted.
  • Shilong Zhang and Youngsoo Shin, “Unified inverse lithography technology (ILT) and fracturing through recurrent neural network,” Proc. SPIE Advanced Lithography, accepted.
  • Shilong Zhang, Seohyun Kim, and Youngsoo Shin, “Fast and accurate matrix-OPC with MEEF prediction using Kolmogorov-Arnold network,” Proc. SPIE Advanced Lithography, accepted.
  • Seohyun Kim, Gangmin Cho, Shilong Zhang, and Youngsoo Shin, “Fast and accurate curvilinear OPC with ML-guided curve correction,” Proc. Int’l SoC Design Conf. (ISOCC), Aug. 2024.