| Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks L Yang, Z Yan, M Li, H Kwon, L Lai, T Krishna, V Chandra, W Jiang, Y Shi 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 148 | 2020 |
| Device-circuit-architecture co-exploration for computing-in-memory neural accelerators W Jiang, Q Lou, Z Yan, L Yang, J Hu, XS Hu, Y Shi IEEE Transactions on Computers 70 (4), 595-605, 2020 | 98 | 2020 |
| When single event upset meets deep neural networks: Observations, explorations, and remedies Z Yan, Y Shi, W Liao, M Hashimoto, X Zhou, C Zhuo 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 163-168, 2020 | 65 | 2020 |
| Uncertainty modeling of emerging device based computing-in-memory neural accelerators with application to neural architecture search Z Yan, DC Juan, XS Hu, Y Shi Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 27 | 2021 |
| Computing-in-memory neural network accelerators for safety-critical systems: Can small device variations be disastrous? Z Yan, XS Hu, Y Shi Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 22 | 2022 |
| Swim: Selective write-verify for computing-in-memory neural accelerators Z Yan, XS Hu, Y Shi Proceedings of the 59th ACM/IEEE Design Automation Conference, 277-282, 2022 | 20 | 2022 |
| On the viability of using LLMs for SW/HW co-design: An example in designing CiM DNN accelerators Z Yan, Y Qin, XS Hu, Y Shi 2023 IEEE 36th International System-on-Chip Conference (SOCC), 1-6, 2023 | 19 | 2023 |
| Improving realistic worst-case performance of NVCiM DNN accelerators through training with right-censored gaussian noise Z Yan, Y Qin, W Wen, XS Hu, Y Shi 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 15 | 2023 |
| Radars: memory efficient reinforcement learning aided differentiable neural architecture search Z Yan, W Jiang, XS Hu, Y Shi 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 128-133, 2022 | 15 | 2022 |
| Empirical guidelines for deploying llms onto resource-constrained edge devices R Qin, D Liu, C Xu, Z Yan, Z Tan, Z Jia, A Nassereldine, J Li, M Jiang, ... arXiv preprint arXiv:2406.03777, 2024 | 9 | 2024 |
| On the reliability of computing-in-memory accelerators for deep neural networks Z Yan, XS Hu, Y Shi System Dependability and Analytics: Approaching System Dependability from …, 2022 | 9 | 2022 |
| Fl-nas: Towards fairness of nas for resource constrained devices via large language models R Qin, Y Hu, Z Yan, J Xiong, A Abbasi, Y Shi 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 429-434, 2024 | 6 | 2024 |
| Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures R Qin, Z Yan, D Zeng, Z Jia, D Liu, J Liu, Z Zheng, N Cao, K Ni, J Xiong, ... arXiv preprint arXiv:2405.04700, 2024 | 5 | 2024 |
| Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators Y Qin, Z Yan, W Wen, XS Hu, Y Shi arXiv preprint arXiv:2305.14561, 2023 | 5 | 2023 |
| A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators B Lu, Z Yan, Y Shi, S Ren arXiv preprint arXiv:2203.13921, 2022 | 5 | 2022 |
| VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks T Wang, J Zhang, J Xiong, S Bian, Z Yan, M Huang, J Zhuang, T Sato, ... IEEE Transactions on Computers 71 (11), 2717-2727, 2022 | 3 | 2022 |
| Hardware–Software Co-design of Deep Neural Architectures: From FPGAs and ASICs to Computing-in-Memories Z Yan, Q Lu, W Jiang, L Yang, XS Hu, J Hu, Y Shi Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing …, 2023 | 2 | 2023 |
| NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs R Qin, P Ren, Z Yan, L Liu, D Liu, A Nassereldine, J Xiong, K Ni, S Hu, ... arXiv preprint arXiv:2411.08244, 2024 | 1 | 2024 |
| U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators Z Yan, XS Hu, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | 1 | 2024 |
| DASALS: Differentiable Architecture Search-Driven Approximate Logic Synthesis X Wang, Z Yan, C Meng, Y Shi, W Qian 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 1 | 2023 |
