| Enterprise: Breadth-first graph traversal on GPUs H Liu, HH Huang Proceedings of the International Conference for High Performance Computing …, 2015 | 199 | 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 | 180 | 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 | 125 | 2019 |
| 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 | 114 | 2017 |
| 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 | 94 | 2020 |
| 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 | 86 | 2016 |
| Tricore: Parallel triangle counting on gpus Y Hu, H Liu, HH Huang SC18: International Conference for High Performance Computing, Networking …, 2018 | 70 | 2018 |
| 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 | 67 | 2020 |
| 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 | 57 | 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 | 52 | 2019 |
| 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 | 46 | 2021 |
| 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 | 44 | 2019 |
| 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 | 44 | 2018 |
| 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 | 40 | 2020 |
| 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 | 40 | 2014 |
| 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 | 38 | 2022 |
| 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 | 37 | 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 | 35 | 2018 |
| A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining H Peng, S Huang, S Chen, B Li, T Geng, A Li, W Jiang, W Wen, J Bi, H Liu, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1135-1140, 2022 | 32 | 2022 |
| High-performance triangle counting on gpus Y Hu, H Liu, HH Huang 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-5, 2018 | 31 | 2018 |
