| 2023 | COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU. | Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung Tai Yeh, Chun-Yi Lee |
| 2023 | Optimization of Reversible Logic Networks with Gate Sharing. | Yung-Chih Chen, Feng-Jie Chao |
| 2023 | Latent Weight-Based Pruning for Small Binary Neural Networks. | Tianen Chen, Noah Anderson, Younghyun Kim |
| 2023 | MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. | Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu |
| 2023 | Detection and Classification of Malicious Bitstreams for FPGAs in Cloud Computing. | Jayeeta Chaudhuri, Krishnendu Chakrabarty |
| 2023 | Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction. | Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, Yiran Chen |
| 2023 | Rethink before Releasing Your Model: ML Model Extraction Attack in EDA. | Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, Yiran Chen |
| 2023 | Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. | Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi |
| 2023 | Depth-Optimal Buffer and Splitter Insertion and Optimization in AQFP Circuits. | Alessandro Tempia Calvino, Giovanni De Micheli |
| 2023 | Exploiting Reversible Computing for Verification: Potential, Possible Paths, and Consequences. | Lukas Burgholzer, Robert Wille |
| 2023 | APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning. | Ahmet Faruk Budak, David Smart, Brian Swahn, David Z. Pan |
| 2023 | Software Tools for Decoding Quantum Low-Density Parity-Check Codes. | Lucas Berent, Lukas Burgholzer, Robert Wille |
| 2023 | ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation. | Ali BanaGozar, Seyed Hossein Hashemi Shadmehri, Sander Stuijk, Mehdi Kamal, Ali Afzali-Kusha, Henk Corporaal |
| 2023 | BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. | Mohammadhossein Askarihemmat, Sean Wagner, Olexa Bilaniuk, Yassine Hariri, Yvon Savaria, Jean-Pierre David |
| 2023 | A Flexible ASIC-Oriented Design for a Full NTRU Accelerator. | Francesco Antognazza, Alessandro Barenghi, Gerardo Pelosi, Ruggero Susella |
| 2023 | ML to the Rescue: Reliability Estimation from Self-Heating and Aging in Transistors All the Way up Processors. | Hussam Amrouch, Florian Klemme |
| 2023 | Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. | Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang |
| 2023 | TiC-SAT: Tightly-Coupled Systolic Accelerator for Transformers. | Alireza Amirshahi, Joshua Alexander Harrison Klein, Giovanni Ansaloni, David Atienza |
| 2023 | Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs. | Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu |
| 2023 | Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis. | Mahabubul Alam, Satwik Kundu, Swaroop Ghosh |
| 2022 | ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. | Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan |
| 2022 | Time-Triggered Scheduling for Time-Sensitive Networking with Preemption. | Yuanbin Zhou, Soheil Samii, Petru Eles, Zebo Peng |
| 2022 | Efficient Critical Paths Search Algorithm using Mergeable Heap. | Kexing Zhou, Zizheng Guo, Tsung-Wei Huang, Yibo Lin |
| 2022 | A Novel and Efficient Bayesian Optimization Approach for Analog Designs with Multi-Testbench. | Jingyao Zhao, Changhao Yan, Zhaori Bi, Fan Yang, Xuan Zeng, Dian Zhou |
| 2022 | XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. | Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan |