Prague: High-performance heterogeneity-aware asynchronous decentralized training Q Luo, J He, Y Zhuo, X Qian Proceedings of the Twenty-Fifth International Conference on Architectural
, 2020 | 83 | 2020 |
Hop: Heterogeneity-aware decentralized training Q Luo, J Lin, Y Zhuo, X Qian Proceedings of the Twenty-Fourth International Conference on Architectural
, 2019 | 61 | 2019 |
Symplegraph: distributed graph processing with precise loop-carried dependency guarantee Y Zhuo, J Chen, Q Luo, Y Wang, H Yang, D Qian, X Qian Proceedings of the 41st ACM SIGPLAN Conference on Programming Language
, 2020 | 15 | 2020 |
Heterogeneity-aware asynchronous decentralized training Q Luo, J He, Y Zhuo, X Qian arXiv preprint arXiv:1909.08029, 2019 | 7 | 2019 |
Distributed graph processing system and processing-in-memory architecture with precise loop-carried dependency guarantee Y Zhuo, J Chen, G Rao, Q Luo, Y Wang, H Yang, D Qian, X Qian ACM Transactions on Computer Systems (TOCS) 37 (1-4), 1-37, 2021 | 6 | 2021 |
Cse: Parallel finite state machines with convergence set enumeration Y Zhuo, J Cheng, Q Luo, J Zhai, Y Wang, Z Luan, X Qian 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture
, 2018 | 5 | 2018 |
Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction. Q Luo, R Gupta, SS Narayanan Interspeech, 1462-1466, 2017 | 3 | 2017 |
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems Q Luo, P Wang, W Zhang, F Lai, J Mao, X Wei, J Song, WY Tsai, S Yang, ... arXiv preprint arXiv:2401.04408, 2024 | | 2024 |