| 2026 | ASPDAC | Mask-based Meta-Learning for Stuck-at Faults Tolerance in ReRAM Computing Systems. | Zhan Shen, Yiqi Zhou, Tianyi Xu, Shan Shen, Zhen Mei, Daying Sun, Zichen Zhang |
| 2026 | ASPDAC | Effective RC Reduction via Graph Sparsification for Accurate Post-Simulation of Mixed-Signal ICs. | Yibin Zhang, Zhiqiang Liu, Shan Shen, Chao Hu, Wenjian Yu |
| 2026 | DATE | OpenACM: An Open-Source SRAM-Based Approximate CiM Compiler. | Yiqi Zhou, JunHao Ma, Xingyang Li, Yule Sheng, Yue Yuan, Yikai Wang, Bochang Wang, Yiheng Wu, Shan Shen, Wei Xing, Daying Sun, Li Li, Zhiqiang Xiao |
| 2025 | ASPDAC | Deep Learning Inspired Capacitance Extraction Techniques. | Wenjian Yu, Shan Shen, Dingcheng Yang, Haoyuan Li, Jiechen Huang, Chunyan Pei |
| 2025 | DAC | Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction. | Shan Shen, Yibin Zhang, Hector Rodriguez Rodriguez, Wenjian Yu |
| 2025 | ICCAD | Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits. | Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu |
| 2025 | ICCD | OpenYield: An Open-Source SRAM Yield Analysis and Optimization Benchmark Suite. | Shan Shen, Xingyang Li, Zhuohua Liu, Junhao Ma, Yikai Wang, Yiheng Wu, Yuquan Sun, Wei W. Xing |
| 2023 | ASPDAC | Parallel Incomplete LU Factorization Based Iterative Solver for Fixed-Structure Linear Equations in Circuit Simulation. | Lingjie Li, Zhiqiang Liu, Kan Liu, Shan Shen, Wenjian Yu |
| 2020 | DAC | TYMER: A Yield-based Performance Model for Timing-speculation SRAM. | Shan Shen, Liang Pang, Tianxiang Shao, Ming Ling, Xiao Shi, Longxing Shi |
| 2020 | DATE | Modeling and Designing of a PVT Auto-tracking Timing-speculative SRAM. | Shan Shen, Tianxiang Shao, Ming Ling, Jun Yang, Longxing Shi |