| 2023 | (Invited) Predictive analytics for cryogenic CMOS in future quantum computing systems. | Rajiv V. Joshi, Sudipto Chakraborty |
| 2023 | ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy. | Zihan Jiang, Fubing Mao, Yapu Guo, Xu Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Wei Zhang |
| 2023 | BlueFace: Integrating an Accelerator into the Core's Pipeline through Algorithm-Interface Co-Design for Real-Time SoCs. | Zhe Jiang, Nathan Fisher, Nan Guan, Zheng Dong |
| 2023 | Partition Based Differential Testing for Finding Embedded Code Generation Bugs in Simulink. | He Jiang, Hongyi Cheng, Shikai Guo, Xiaochen Li |
| 2023 | Lightning Talk: All Routes to Timing Closure. | Iris Hui-Ru Jiang |
| 2023 | Lightning Talk: Trinity - Assured Neuro-symbolic Model Inspired by Hierarchical Predictive Coding. | Susmit Jha |
| 2023 | PIE-DRAM: Postponing IECC to Enhance DRAM performance with access table. | JaeHwa Jeon, Jae-Youn Hong, Sunghoon Kim, Insu Choi, Joon-Sung Yang |
| 2023 | Quixote: Improving Fidelity of Quantum Program by Independent Execution of Controlled Gates. | Enhyeok Jang, Seungwoo Choi, Won Woo Ro |
| 2023 | PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. | Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst |
| 2023 | Stochastic-HMDs: Adversarial-Resilient Hardware Malware Detectors via Undervolting. | Md. Shohidul Islam, Ihsen Alouani, Khaled N. Khasawneh |
| 2023 | Lightning Talk: Bridging Neuro-Dynamics and Cognition. | Mohsen Imani |
| 2023 | HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. | Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler |
| 2023 | Sparse Hamming Graph: A Customizable Network-on-Chip Topology. | Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler |
| 2023 | ActiWate: Adaptive and Design-agnostic Active Watermarking for IP Ownership in Modern SoCs. | Zahin Ibnat, M. Sazadur Rahman, Mridha Md Mashahedur Rahman, Hadi Mardani Kamali, Mark Tehranipoor, Farimah Farahmandi |
| 2023 | Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. | Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang |
| 2023 | Late Breaking Results: COPPER: Computation Obfuscation by Producing Permutations for Encoding Randomly. | Kevin Hutto, Vincent John Mooney |
| 2023 | Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. | Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang |
| 2023 | Bumblebee: A MemCache Design for Die-stacked and Off-chip Heterogeneous Memory Systems. | Yifan Hua, Shengan Zheng, Ji Yin, Weidong Chen, Linpeng Huang |
| 2023 | MeG | Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin |
| 2023 | INVITED: Generalizing the ISA to the ILA: A Software/Hardware Interface for Accelerator-rich Platforms. | Bo-Yuan Huang, Hongce Zhang, Aarti Gupta, Sharad Malik |
| 2023 | Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. | Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding |
| 2023 | Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations. | Liao Huang, Dajiang Liu |
| 2023 | Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. | Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding |
| 2023 | BWA-NIMC: Budget-based Workload Allocation for Hybrid Near/In-Memory-Computing. | Chi-Tse Huang, Cheng-Yang Chang, Yu-Chuan Chuang, An-Yeu Andy Wu |
| 2023 | Lightning Talk: Power and Performance Reconciliation - from Tradeoff to Win-Win. | Jiang Hu |