| 2023 | Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification. | Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui |
| 2023 | IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation. | Yi Chen, Ning Liu, Ao Ren, Tao Yang, Duo Liu |
| 2023 | Unified Agile Accuracy Assessment in Computing-in-Memory Neural Accelerators by Layerwise Dynamical Isometry. | Xuan-Jun Chen, Cynthia Kuan, Chia-Lin Yang |
| 2023 | UpPipe: A Novel Pipeline Management on In-Memory Processors for RNA-seq Quantification. | Liang-Chi Chen, Chien-Chung Ho, Yuan-Hao Chang |
| 2023 | Late Breaking Results: Analytical Placement for 3D ICs with Multiple Manufacturing Technologies. | Yan-Jen Chen, Yan-Syuan Chen, Wei-Che Tseng, Cheng-Yu Chiang, Yu-Hsiang Lo, Yao-Wen Chang |
| 2023 | Toward Parallelism-Optimal Topology Generation for Wavelength-Routed Optical NoC Designs. | Kuan-Cheng Chen, Yan-Lin Chen, Yu-Sheng Lu, Yao-Wen Chang |
| 2023 | Graph-Based Simultaneous Placement and Routing for Two-Dimensional Directed Self-Assembly Technology. | Wei-Hsu Chen, Yao-Wen Chang |
| 2023 | Lightning Talk: The Next Wave of High-level Synthesis. | Deming Chen |
| 2023 | G-QED: Generalized QED Pre-silicon Verification beyond Non-Interfering Hardware Accelerators. | Saranyu Chattopadhyay, Keerthikumara Devarajegowda, Bihan Zhao, Florian Lonsing, Brandon A. D'Agostino, Ioanna Vavelidou, Vijay Deep Bhatt, Sebastian Prebeck, Wolfgang Ecker, Caroline Trippel, Clark W. Barrett, Subhasish Mitra |
| 2023 | HDSuper: Algorithm-Hardware Co-design for Light-weight High-quality Super-Resolution Accelerator. | Liang Chang, Xin Zhao, Dongqi Fan, Zhicheng Hu, Jun Zhou |
| 2023 | VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. | Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar |
| 2023 | Towards A Formally Verified Fully Homomorphic Encryption Compute Engine. | Jeremy Casas, Zhenkun Yang, Wen Wang, Jin Yang, Adwait Godbole |
| 2023 | Late Breaking Results: RL-LPO: Reinforcement Learning Based Leakage Power Optimization Framework with Graph Neural Network. | Peng Cao, Jiahao Wang |
| 2023 | Improving Standard-Cell Design Flow using Factored Form Optimization. | Alessandro Tempia Calvino, Alan Mishchenko, Herman Schmit, Ethan Mahintorabi, Giovanni De Micheli, Xiaoqing Xu |
| 2023 | PUFFER: A Routability-Driven Placement Framework via Cell Padding with Multiple Features and Strategy Exploration. | Zhijie Cai, Peng Zou, Zhengtao Wu, Xingyu Tong, Jun Yu, Jianli Chen, Yao-Wen Chang |
| 2023 | Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs. | Gianluca Brilli, Giacomo Valente, Alessandro Capotondi, Paolo Burgio, T. Di Masciov, Paolo Valente, Andrea Marongiu |
| 2023 | Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs. | Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Smal Niar, Mohammad Abdullah Al Faruque |
| 2023 | A Comprehensive Automated Exploration Framework for Systolic Array Designs. | Suhail Basalama, Jie Wang, Jason Cong |
| 2023 | R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning. | Abhishek Balasubramaniam, Febin Sunny, Sudeep Pasricha |
| 2023 | FPDsim: A Structural Simulator For Power Grid Analysis Of Flat Panel Display. | Chengtao An, Chunqiao Li, Xiangqi Li, Yangfeng Su, Fan Yang, Xuan Zeng |
| 2023 | Cryogenic In-Memory Matrix-Vector Multiplication using Ferroelectric Superconducting Quantum Interference Device (FE-SQUID). | Shamiul Alam, Jack Hutchins, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz |
| 2023 | PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search. | Afzal Ahmad, Zhiyao Xie, Wei Zhang |
| 2023 | Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR). | Sukarn Agarwal, Shounak Chakraborty, Magnus Sjlander |
| 2022 | High-performance placement for large-scale heterogeneous FPGAs with clock constraints. | Ziran Zhu, Yangjie Mei, Zijun Li, Jingwen Lin, Jianli Chen, Jun Yang, Yao-Wen Chang |
| 2022 | SRA: a secure ReRAM-based DNN accelerator. | Lei Zhao, Youtao Zhang, Jun Yang |