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| 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 | 291 | 2021 |
| 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 | 188 | 2019 |
| 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 | 142 | 2008 |
| 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 | 102 | 2020 |
| 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 | 93 | 2009 |
| 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 | 88 | 2020 |
| 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 | 77 | 2008 |
| 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 | 63 | 2021 |
| Gemini: Fast failure recovery in distributed training with in-memory checkpoints Z Wang, Z Jia, S Zheng, Z Zhang, X Fu, TSE Ng, Y Wang Proceedings of the 29th Symposium on Operating Systems Principles, 364-381, 2023 | 61 | 2023 |
| BrainIAK: the brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ... Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022 | 57 | 2022 |
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| 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 | 42 | 2019 |
| 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 | 42* | 2015 |
| DietCode: Automatic optimization for dynamic tensor programs B Zheng, Z Jiang, CH Yu, H Shen, J Fromm, Y Liu, Y Wang, L Ceze, ... Proceedings of Machine Learning and Systems 4, 848-863, 2022 | 41 | 2022 |
| 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 | 39 | 2020 |
| 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 | 36 | 2021 |
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Cody (Hao) YuSoftware Engineer @ Anyscale | ex-Amazonian | UCLA PhD ‘19Verified email at anyscale.com
