| 2023 | When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. | Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk |
| 2023 | Lightning Talk 6: Bringing Together Foundation Models and Edge Devices. | Nick Eliopoulos, Yung-Hsiang Lu |
| 2023 | Accelerating DNN Inference with Heterogeneous Multi-DPU Engines. | Zelin Du, Wei Zhang, Zimeng Zhou, Zili Shao, Lei Ju |
| 2023 | Lightning Talk: The New Era of Computational Cognitive Intelligence. | Nikil D. Dutt, Bryan Donyanavard |
| 2023 | A Model-Specific End-to-End Design Methodology for Resource-Constrained TinyML Hardware. | Yanchi Dong, Tianyu Jia, Kaixuan Du, Yiqi Jing, Qijun Wang, Pixian Zhan, Yadong Zhang, Fengyun Yan, Yufei Ma, Yun Liang, Le Ye, Ru Huang |
| 2023 | HAIMA: A Hybrid SRAM and DRAM Accelerator-in-Memory Architecture for Transformer. | Yan Ding, Chubo Liu, Mingxing Duan, Wanli Chang, Keqin Li, Kenli Li |
| 2023 | PIMA-LPN: Processing-in-memory Acceleration for Efficient LPN-based Post-Quantum Cryptography. | Lin Ding, Song Bian, Jiliang Zhang |
| 2023 | HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. | Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst |
| 2023 | Formal Verification of Restoring Dividers made Fast and Simple. | Jiteshri Dasari, Maciej J. Ciesielski |
| 2023 | Discerning Limitations of GNN-based Attacks on Logic Locking. | Armin Darjani, Nima Kavand, Shubham Rai, Akash Kumar |
| 2023 | Efficient Transformer Inference with Statically Structured Sparse Attention. | Steve Dai, Hasan Genc, Rangharajan Venkatesan, Brucek Khailany |
| 2023 | A Fast Secure Deletion Strategy for High-Density Flash Memory through WOM-v Codes. | Jinhua Cui, Kai Tang, Laurence T. Yang |
| 2023 | Automating Constraint-Aware Datapath Optimization using E-Graphs. | Samuel Coward, George A. Constantinides, Theo Drane |
| 2023 | Lightning Talk: Scaling Up Quantum Compilation - Challenges and Opportunities. | Jason Cong |
| 2023 | Any-Angle Routing for Redistribution Layers in 2.5D IC Packages. | Min-Hsuan Chung, Je-Wei Chuang, Yao-Wen Chang |
| 2023 | SimLL: Similarity-Based Logic Locking Against Machine Learning Attacks. | Subhajit Dutta Chowdhury, Kaixin Yang, Pierluigi Nuzzo |
| 2023 | ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. | Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan |
| 2023 | AVX Timing Side-Channel Attacks against Address Space Layout Randomization. | Hyunwoo Choi, Suryeon Kim, Seungwon Shin |
| 2023 | RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks. | Insu Choi, Jae-Youn Hong, JaeHwa Jeon, Joon-Sung Yang |
| 2023 | Reinforcement Learning-based Analog Circuit Optimizer using gm/ID for Sizing. | Minjeong Choi, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang |
| 2023 | Mixed-cell-height Placement with Minimum-Implant-Area and Drain-to-Drain Abutment Constraints. | Guohao Chen, Zheng Zeng, Benchao Zhu, Jiawei Li, Kun Wang, Jun Yu, Jianli Chen |
| 2023 | Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks. | Jiaxian Chen, Zhaoyu Zhong, Kaoyi Sun, Chenlin Ma, Rui Mao, Yi Wang |
| 2023 | Property-Based Timing Analysis and Optimization for Complex Cyber-Physical Real-Time Systems. | Jian-Jia Chen, Niklas Ueter, Mario Gnzel, Georg von der Brggen, Tei-Wei Kuo |
| 2023 | AutoDCIM: An Automated Digital CIM Compiler. | Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng |
| 2023 | Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. | Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong |