Patch-fool: Are vision transformers always robust against adversarial perturbations? Y Fu, S Zhang, S Wu, C Wan, Y Lin The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 64 | 2022 |
PipeGCN: Efficient full-graph training of graph convolutional networks with pipelined feature communication C Wan, Y Li, CR Wolfe, A Kyrillidis, NS Kim, Y Lin The Tenth International Conference on Learning Representations (ICLR 2022), 2022 | 57 | 2022 |
BNS-GCN: Efficient full-graph training of graph convolutional networks with partition-parallelism and random boundary node sampling C Wan, Y Li, A Li, NS Kim, Y Lin Proceedings of Machine Learning and Systems 4, 673-693, 2022 | 56 | 2022 |
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models Y Fu, Y Zhang, Z Yu, S Li, Z Ye, C Li, C Wan, YC Lin 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 19 | 2023 |
Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction S Li, C Li, W Zhu, B Yu, Y Zhao, C Wan, H You, H Shi, Y Lin Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 14 | 2023 |
DepthShrinker: a new compression paradigm towards boosting real-hardware efficiency of compact neural networks Y Fu, H Yang, J Yuan, M Li, C Wan, R Krishnamoorthi, V Chandra, Y Lin International Conference on Machine Learning, 6849-6862, 2022 | 12 | 2022 |
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware S Zhang, A Sohrabizadeh, C Wan, Z Huang, Z Hu, Y Wang, Y Lin, J Cong, ... arXiv preprint arXiv:2306.14052, 2023 | 11* | 2023 |
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design H You, C Wan, Y Zhao, Z Yu, Y Fu, J Yuan, S Wu, S Zhang, Y Zhang, C Li, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 11 | 2022 |
i-FlatCam: A 253 FPS, 91.49 µJ/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR Y Zhao, Z Li, Y Fu, Y Zhang, C Li, C Wan, H You, S Wu, X Ouyang, ... 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2022 | 7 | 2022 |
e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM Y Zhao, Y Zhang, Y Fu, X Ouyang, C Wan, S Wu, A Banta, MM John, ... 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2022 | 5 | 2022 |
Sensor-based estimation of dim light melatonin onset using features of two time scales C Wan, AW McHill, EB Klerman, A Sano ACM Transactions on Computing for Healthcare 2 (3), 1-15, 2021 | 5 | 2021 |
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI Z Wan, CK Liu, H Yang, C Li, H You, Y Fu, C Wan, T Krishna, Y Lin, ... arXiv preprint arXiv:2401.01040, 2024 | 4 | 2024 |
BDS-GCN: Efficient full-graph training of graph convolutional nets with partition-parallelism and boundary sampling C Wan, Y Li, NS Kim, Y Lin | 4* | 2020 |
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm&Hardware Co-Design H You, Y Zhao, C Wan, Z Yu, Y Fu, J Yuan, S Wu, S Zhang, Y Zhang, C Li, ... IEEE Micro, 2023 | 1 | 2023 |
Data4AIGChip: An Automated Data Generation and Validation Flow for LLM-assisted Hardware Design Y Zhang, Y Fu, Z Yu, K Zhao, C Wan, C Li, YC Lin ACM, 2024 | | 2024 |
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI Z Wan, CK Liu, H Yang, R Ran, C Li, H You, Y Fu, C Wan, A Samajdar, ... 2024 IEEE International Symposium on Performance Analysis of Systems and …, 2024 | | 2024 |
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5 D Integrated Circuits Y Zhao, Y Zhao, C Wan, Y Lin arXiv preprint arXiv:2307.08060, 2023 | | 2023 |
SYLVIE: 3D-adaptive and Universal System for Large-scale Graph Neural Network Training M Zhang, Q Hu, C Wan, H Wang, P Sun, Y Wen, T Zhang | | |