Hang Liu
Cited by
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Enterprise: breadth-first graph traversal on GPUs
H Liu, HH Huang
Proceedings of the International Conference for High Performance Computing …, 2015
Computational modeling of cardiac hemodynamics: current status and future outlook
R Mittal, JH Seo, V Vedula, YJ Choi, H Liu, HH Huang, S Jain, L Younes, ...
Journal of Computational Physics 305, 1065-1082, 2016
Ceci: Compact embedding cluster index for scalable subgraph matching
B Bhattarai, H Liu, HH Huang
Proceedings of the 2019 International Conference on Management of Data, 1447 …, 2019
Ftrans: energy-efficient acceleration of transformers using fpga
B Li, S Pandey, H Fang, Y Lyv, J Li, J Chen, M Xie, L Wan, H Liu, C Ding
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
Graphene:{Fine-Grained}{IO} Management for Graph Computing
H Liu, HH Huang
15th USENIX Conference on File and Storage Technologies (FAST 17), 285-300, 2017
ibfs: Concurrent breadth-first search on gpus
H Liu, HH Huang, Y Hu
Proceedings of the 2016 International Conference on Management of Data, 403-416, 2016
PM-LSH: A fast and accurate LSH framework for high-dimensional approximate NN search
B Zheng, Z Xi, L Weng, NQV Hung, H Liu, CS Jensen
Proceedings of the VLDB Endowment 13 (5), 643-655, 2020
Tricore: Parallel triangle counting on gpus
Y Hu, H Liu, HH Huang
SC18: International Conference for High Performance Computing, Networking …, 2018
Accelerating transformer-based deep learning models on fpgas using column balanced block pruning
H Peng, S Huang, T Geng, A Li, W Jiang, H Liu, S Wang, C Ding
2021 22nd International Symposium on Quality Electronic Design (ISQED), 142-148, 2021
Forms: Fine-grained polarized reram-based in-situ computation for mixed-signal dnn accelerator
G Yuan, P Behnam, Z Li, A Shafiee, S Lin, X Ma, H Liu, X Qian, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
{SIMD-X}: Programming and processing of graph algorithms on {GPUs}
H Liu, HH Huang
2019 USENIX Annual Technical Conference (USENIX ATC 19), 411-428, 2019
Tag: Gradient attack on transformer-based language models
J Deng, Y Wang, J Li, C Shang, H Liu, S Rajasekaran, C Ding
arXiv preprint arXiv:2103.06819, 2021
C-SAW: A framework for graph sampling and random walk on GPUs
S Pandey, L Li, A Hoisie, XS Li, H Liu
SC20: International Conference for High Performance Computing, Networking …, 2020
Do bitcoin users really care about anonymity? an analysis of the bitcoin transaction graph
A Gaihre, Y Luo, H Liu
2018 ieee international conference on big data (big data), 1198-1207, 2018
iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees
Y Ji, H Liu, Y Hu, HH Huang
ACM Transactions on Parallel Computing 9 (3), 1-27, 2022
Against membership inference attack: Pruning is all you need
Y Wang, C Wang, Z Wang, S Zhou, H Liu, J Bi, C Ding, S Rajasekaran
arXiv preprint arXiv:2008.13578, 2020
XBFS: eXploring runtime optimizations for breadth-first search on GPUs
A Gaihre, Z Wu, F Yao, H Liu
Proceedings of the 28th International symposium on high-performance parallel …, 2019
Big data machine learning and graph analytics: Current state and future challenges
HH Huang, H Liu
2014 IEEE international conference on big data (Big Data), 16-17, 2014
H-index: Hash-indexing for parallel triangle counting on GPUs
S Pandey, XS Li, A Buluc, J Xu, H Liu
2019 IEEE high performance extreme computing conference (HPEC), 1-7, 2019
{UKSM}: Swift Memory Deduplication via Hierarchical and Adaptive Memory Region Distilling
N Xia, C Tian, Y Luo, H Liu, X Wang
16th USENIX Conference on File and Storage Technologies (FAST 18), 325-340, 2018
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