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Xuefei Ning
Xuefei Ning
Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
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Cited by
Year
Machine learning for electronic design automation: A survey
G Huang, J Hu, Y He, J Liu, M Ma, Z Shen, J Wu, Y Xu, H Zhang, K Zhong, ...
ACM TODAES 2021 26 (5), 1-46, 2021
2672021
Fault-tolerant training with on-line fault detection for RRAM-based neural computing systems
L Xia, M Liu, X Ning, K Chakrabarty, Y Wang
DAC 2017, 1-6, 2017
1692017
Dsa: More efficient budgeted pruning via differentiable sparsity allocation
X Ning, T Zhao, W Li, P Lei, Y Wang, H Yang
ECCV 2020, 592-607, 2020
1282020
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
M Tang, X Ning, Y Wang, J Sun, Y Wang, H Li, Y Chen
CVPR 2022, 10102-10111, 2022
124*2022
A generic graph-based neural architecture encoding scheme for predictor-based nas
X Ning, Y Zheng, T Zhao, Y Wang, H Yang
ECCV 2020, 189-204, 2020
1062020
Evaluating Efficient Performance Estimators of Neural Architectures
X Ning, C Tang, W Li, Z Zhou, S Liang, H Yang, Y Wang
NeurIPS 2021 34, 2021
94*2021
Hu-fu: Hardware and software collaborative attack framework against neural networks
W Li, J Yu, X Ning, P Wang, Q Wei, Y Wang, H Yang
ISVLSI 2018, 482-487, 2018
772018
Skeleton-of-thought: Prompting LLMs for Efficient Parallel Generation
X Ning, Z Lin, Z Zhou, Z Wang, H Yang, Y Wang
ICLR 2024, 2023
71*2023
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
662020
Physical adversarial attack on vehicle detector in the carla simulator
T Wu, X Ning, W Li, R Huang, H Yang, Y Wang
arXiv preprint arXiv:2007.16118, 2020
622020
Fault-tolerant training enabled by on-line fault detection for RRAM-based neural computing systems
L Xia, M Liu, X Ning, K Chakrabarty, Y Wang
IEEE TCAD 2018 38 (9), 1611-1624, 2018
572018
A survey on efficient inference for large language models
Z Zhou, X Ning, K Hong, T Fu, J Xu, S Li, Y Lou, L Wang, Z Yuan, X Li, ...
arXiv preprint arXiv:2404.14294, 2024
552024
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA
J Yu, Y Hu, X Ning, J Qiu, K Guo, Y Wang, H Yang
ICFPT 2017, 227-230, 2017
432017
FTT-NAS: Discovering fault-tolerant neural architecture
W Li, X Ning, G Ge, X Chen, Y Wang, H Yang
ASP-DAC 2020, 211-216, 2020
422020
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGA
S Zeng, J Liu, G Dai, X Yang, T Fu, H Wang, W Ma, H Sun, S Li, Z Huang, ...
FPGA 2024, 2024
332024
Real-time object detection towards high power efficiency
J Yu, K Guo, Y Hu, X Ning, J Qiu, H Mao, S Yao, T Tang, B Li, Y Wang, ...
DATE 2018, 704-708, 2018
312018
Oms-dpm: Optimizing the model schedule for diffusion probabilistic models
E Liu, X Ning, Z Lin, H Yang, Y Wang
ICML 2023, 21915-21936, 2023
302023
Evaluating Quantized Large Language Models
S Li, X Ning, L Wang, T Liu, X Shi, S Yan, G Dai, H Yang, Y Wang
ICML 2024, 2024
292024
Exploring the Potential of Low-bit Training of Convolutional Neural Networks
K Zhong, X Ning, G Dai, Z Zhu, T Zhao, S Zeng, Y Wang, H Yang
IEEE TCAD 2022, 2022
25*2022
Compressed CNN training with FPGA-based accelerator
K Guo, S Liang, J Yu, X Ning, W Li, Y Wang, H Yang
FPGA 2019 (poster), 189-189, 2019
222019
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Articles 1–20