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Yuzhen Huang
Yuzhen Huang
MetaThe Chinese University of Hong Kong
Verified email at cse.cuhk.edu.hk
Title
Cited by
Cited by
Year
Efficient algorithms for temporal path computation
H Wu, J Cheng, Y Ke, S Huang, Y Huang, H Wu
IEEE Transactions on Knowledge and Data Engineering 28 (11), 2927-2942, 2016
1252016
Reachability and time-based path queries in temporal graphs
H Wu, Y Huang, J Cheng, J Li, Y Ke
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 145-156, 2016
1212016
Core decomposition in large temporal graphs
H Wu, J Cheng, Y Lu, Y Ke, Y Huang, D Yan, H Wu
2015 IEEE International Conference on Big Data (Big Data), 649-658, 2015
952015
Flexps: Flexible parallelism control in parameter server architecture
Y Huang, T Jin, Y Wu, Z Cai, X Yan, F Yang, J Li, Y Guo, J Cheng
Proceedings of the VLDB Endowment 11 (5), 566-579, 2018
842018
Elastic deep learning in multi-tenant GPU clusters
Y Wu, K Ma, X Yan, Z Liu, Z Cai, Y Huang, J Cheng, H Yuan, F Yu
IEEE Transactions on Parallel and Distributed Systems 33 (1), 144-158, 2021
472021
Graphd: Distributed vertex-centric graph processing beyond the memory limit
D Yan, Y Huang, M Liu, H Chen, J Cheng, H Wu, C Zhang
IEEE Transactions on Parallel and Distributed Systems 29 (1), 99-114, 2017
402017
Yugong: Geo-distributed data and job placement at scale
Y Huang, Y Shi, Z Zhong, Y Feng, J Cheng, J Li, H Fan, C Li, T Guan, ...
Proceedings of the VLDB Endowment 12 (12), 2155-2169, 2019
382019
LFTF: A framework for efficient tensor analytics at scale
F Yang, F Shang, Y Huang, J Cheng, J Li, Y Zhao, R Zhao
Proceedings of the VLDB Endowment 10 (7), 745-756, 2017
322017
Training recommender systems at scale: Communication-efficient model and data parallelism
V Gupta, D Choudhary, P Tang, X Wei, X Wang, Y Huang, A Kejariwal, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
312021
Tensoropt: Exploring the tradeoffs in distributed dnn training with auto-parallelism
Z Cai, X Yan, K Ma, Y Wu, Y Huang, J Cheng, T Su, F Yu
IEEE Transactions on Parallel and Distributed Systems 33 (8), 1967-1981, 2021
262021
Losha: A general framework for scalable locality sensitive hashing
J Li, J Cheng, F Yang, Y Huang, Y Zhao, X Yan, R Zhao
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
182017
A comparison of general-purpose distributed systems for data processing
J Li, J Cheng, Y Zhao, F Yang, Y Huang, H Chen, R Zhao
2016 IEEE International Conference on Big Data (Big Data), 378-383, 2016
172016
Tangram: bridging immutable and mutable abstractions for distributed data analytics
Y Huang, X Yan, G Jiang, T Jin, J Cheng, A Xu, Z Liu, S Tu
2019 USENIX Annual Technical Conference (USENIX ATC 19), 191-206, 2019
162019
Fast distributed training of deep neural networks: Dynamic communication thresholding for model and data parallelism
V Gupta, D Choudhary, PTP Tang, X Wei, X Wang, Y Huang, A Kejariwal, ...
arXiv preprint arXiv:2010.08899, 2020
152020
Efficient processing of very large graphs in a small cluster
D Yan, Y Huang, J Cheng, H Wu
arXiv preprint arXiv:1601.05590, 2016
142016
The best of both worlds: Big data programming with both productivity and performance
F Yang, Y Huang, Y Zhao, J Li, G Jiang, J Cheng
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
132017
Hierarchical training: Scaling deep recommendation models on large CPU clusters
Y Huang, X Wei, X Wang, J Yang, BY Su, S Bharuka, D Choudhary, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
92021
Pre-train and search: Efficient embedding table sharding with pre-trained neural cost models
D Zha, L Feng, L Luo, B Bhushanam, Z Liu, Y Hu, J Nie, Y Huang, Y Tian, ...
Proceedings of Machine Learning and Systems 5, 68-88, 2023
52023
Efficient processing of reachability and time-based path queries in a temporal graph
H Wu, Y Huang, J Cheng, J Li, Y Ke
arXiv preprint arXiv:1601.05909, 2016
52016
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication
K Ma, X Yan, Z Cai, Y Huang, Y Wu, J Cheng
Proceedings of the ACM on Management of Data 1 (2), 1-21, 2023
12023
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