Yida Wang
Yida Wang
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BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ...
PLoS computational biology 13 (3), e1005209, 2017
iRobot: An intelligent crawler for Web forums
R Cai, JM Yang, W Lai, Y Wang, L Zhang
Proceedings of the 17th international conference on World Wide Web, 447-456, 2008
Ansor: Generating {High-Performance} Tensor Programs for Deep Learning
L Zheng, C Jia, M Sun, Z Wu, CH Yu, A Haj-Ali, Y Wang, J Yang, D Zhuo, ...
14th USENIX symposium on operating systems design and implementation (OSDI …, 2020
Optimizing {CNN} Model Inference on {CPUs}
Y Liu, Y Wang, R Yu, M Li, V Sharma, Y Wang
2019 USENIX Annual Technical Conference (USENIX ATC 19), 1025-1040, 2019
Incorporating site-level knowledge to extract structured data from web forums
JM Yang, R Cai, Y Wang, J Zhu, L Zhang, WY Ma
Proceedings of the 18th international conference on World wide web, 181-190, 2009
Exploring traversal strategy for web forum crawling
Y Wang, JM Yang, W Lai, R Cai, L Zhang, WY Ma
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
Hawq-v3: Dyadic neural network quantization
Z Yao, Z Dong, Z Zheng, A Gholami, J Yu, E Tan, L Wang, Q Huang, ...
International Conference on Machine Learning, 11875-11886, 2021
Featgraph: A flexible and efficient backend for graph neural network systems
Y Hu, Z Ye, M Wang, J Yu, D Zheng, M Li, Z Zhang, Z Zhang, Y Wang
SC20: International Conference for High Performance Computing, Networking …, 2020
Full correlation matrix analysis (FCMA): An unbiased method for task-related functional connectivity
Y Wang, JD Cohen, K Li, NB Turk-Browne
Journal of Neuroscience Methods, 2015
Is network the bottleneck of distributed training?
Z Zhang, C Chang, H Lin, Y Wang, R Arora, X Jin
Proceedings of the Workshop on Network Meets AI & ML, 8-13, 2020
A unified optimization approach for cnn model inference on integrated gpus
L Wang, Z Chen, Y Liu, Y Wang, L Zheng, M Li, Y Wang
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
L Tang, Y Wang, TL Willke, K Li
arXiv preprint arXiv:1807.09667, 2018
Efficient execution of quantized deep learning models: A compiler approach
A Jain, S Bhattacharya, M Masuda, V Sharma, Y Wang
arXiv preprint arXiv:2006.10226, 2020
BrainIAK: The brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 2021
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors
Y Wang, MJ Anderson, JD Cohen, A Heinecke, K Li, N Satish, ...
Proceedings of the International Conference for High Performance Computing …, 2015
Enabling factor analysis on thousand-subject neuroimaging datasets
MJ Anderson, M Capota, JS Turek, X Zhu, TL Willke, Y Wang, PH Chen, ...
2016 IEEE International Conference on Big Data (Big Data), 1151-1160, 2016
Nimble: Efficiently compiling dynamic neural networks for model inference
H Shen, J Roesch, Z Chen, W Chen, Y Wu, M Li, V Sharma, Z Tatlock, ...
Proceedings of Machine Learning and Systems 3, 208-222, 2021
Alpa: Automating Inter-and Intra-Operator Parallelism for Distributed Deep Learning
L Zheng, Z Li, H Zhang, Y Zhuang, Z Chen, Y Huang, Y Wang, Y Xu, ...
arXiv preprint arXiv:2201.12023, 2022
UNIT: Unifying tensorized instruction compilation
J Weng, A Jain, J Wang, L Wang, Y Wang, T Nowatzki
2021 IEEE/ACM International Symposium on Code Generation and Optimization …, 2021
Real-time Full Correlation Matrix Analysis of fMRI Data
Y Wang, B Keller, M Capotă, MJ Anderson, N Sundaram, JD Cohen, K Li, ...
2016 IEEE International Conference on Big Data (Big Data), 1242-1251, 2016
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