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Cheng Wan
Cheng Wan
在 gatech.edu 的电子邮件经过验证 - 首页
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年份
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
722022
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
672022
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
652022
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
372023
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
252023
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
222023
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
142022
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
122022
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
92024
Master-asr: achieving multilingual scalability and low-resource adaptation in asr with modular learning
Z Yu, Y Zhang, K Qian, C Wan, Y Fu, Y Zhang, YC Lin
International Conference on Machine Learning, 40475-40487, 2023
92023
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
72022
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
72021
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
52022
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 and 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 43 (4), 88-97, 2023
32023
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
22023
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
Y Zhang, Z Yu, Y Fu, C Wan, Y Lin
arXiv preprint arXiv:2407.01910, 2024
12024
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
2024 IEEE 40th International Conference on Data Engineering (ICDE), 3823-3836, 2024
12024
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 Raj, C Li, H You, Y Fu, C Wan, A Samajdar, ...
2024 IEEE International Symposium on Performance Analysis of Systems and …, 2024
2024
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