| 2021 | Simultaneous Transistor Folding and Placement in Standard Cell Layout Synthesis. | Kyeonghyeon Baek, Taewhan Kim |
| 2021 | Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. | Azat Azamat, Faaiz Asim, Jongeun Lee |
| 2021 | Demystifying the Characteristics of High Bandwidth Memory for Real-Time Systems. | Kazi Asifuzzaman, Mohamed Abuelala, Mohamed Hassan, Francisco J. Cazorla |
| 2021 | Split Compilation for Security of Quantum Circuits. | Abdullah Ash-Saki, Aakarshitha Suresh, Rasit Onur Topaloglu, Swaroop Ghosh |
| 2021 | CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. | Sina Asadi, M. Hassan Najafi, Mohsen Imani |
| 2021 | DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. | Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty |
| 2021 | Acceleration Method for Learning Fine-Layered Optical Neural Networks. | Kazuo Aoyama, Hiroshi Sawada |
| 2021 | ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. | Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael T. Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo |
| 2021 | Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. | Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla |
| 2021 | UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. | Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu |
| 2021 | Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper). | Mahabubul Alam, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh |
| 2021 | AutoMap: Automated Mapping of Security Properties Between Different Levels of Abstraction in Design Flow. | Bulbul Ahmed, Fahim Rahman, Nick Hooten, Farimah Farahmandi, Mark Tehranipoor |
| 2021 | HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering. | Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng |
| 2021 | Sampling-Based Approximate Logic Synthesis: An Explainable Machine Learning Approach. | Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu |
| 2021 | Feedback-Guided Circuit Structure Mutation for Testing Hardware Model Checkers. | Chengyu Zhang, Minquan Sun, Jianwen Li, Ting Su, Geguang Pu |
| 2021 | Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning. | Jiaxi Zhang, Liwei Ni, Shenggen Zheng, Hao Liu, Xiangfu Zou, Feng Wang, Guojie Luo |
| 2021 | Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. | Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif |
| 2020 | Countering Variations and Thermal Effects for Accurate Optical Neural Networks. | Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann |
| 2020 | GridNet: Fast Data-Driven EM-Induced IR Drop Prediction and Localized Fixing for On-Chip Power Grid Networks. | Han Zhou, Wentian Jin, Sheldon X.-D. Tan |
| 2020 | A Monte Carlo Tree Search Framework for Quantum Circuit Transformation. | Xiangzhen Zhou, Yuan Feng, Sanjiang Li |
| 2020 | MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block. | Qilin Zheng, Xingchen Li, Zongwei Wang, Guangyu Sun, Yimao Cai, Ru Huang, Yiran Chen, Hai Li |
| 2020 | Empyrean ALPS-GT: GPU-accelerated Analog Circuit Simulation. | Chen Zhao, Zhenya Zhou, Dake Wu |
| 2020 | SF-GRASS: Solver-Free Graph Spectral Sparsification. | Ying Zhang, Zhiqiang Zhao, Zhuo Feng |
| 2020 | DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. | Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen |
| 2020 | Layout Pattern Generation and Legalization with Generative Learning Models. | Xiaopeng Zhang, James P. Shiely, Evangeline F. Y. Young |