|Linearly compressed pages: A low-complexity, low-latency main memory compression framework|
G Pekhimenko, V Seshadri, Y Kim, H Xin, O Mutlu, PB Gibbons, ...
Proceedings of the 46th Annual IEEE/ACM International Symposium on …, 2013
|GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies|
JS Kim, D Senol Cali, H Xin, D Lee, S Ghose, M Alser, H Hassan, O Ergin, ...
BMC genomics 19 (2), 23-40, 2018
|Accelerating read mapping with FastHASH|
H Xin, D Lee, F Hormozdiari, S Yedkar, O Mutlu, C Alkan
BMC genomics 14, 1-13, 2013
|A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies|
Z Sun, L Chen, H Xin, Y Jiang, Q Huang, AR Cillo, T Tabib, JK Kolls, ...
Nature communications 10 (1), 1649, 2019
|GateKeeper: a new hardware architecture for accelerating pre-alignment in DNA short read mapping|
M Alser, H Hassan, H Xin, O Ergin, O Mutlu, C Alkan
Bioinformatics 33 (21), 3355-3363, 2017
|Deep-learning-based prediction of late age-related macular degeneration progression|
Q Yan, DE Weeks, H Xin, A Swaroop, EY Chew, H Huang, Y Ding, ...
Nature machine intelligence 2 (2), 141-150, 2020
|Shifted Hamming distance: a fast and accurate SIMD-friendly filter to accelerate alignment verification in read mapping|
H Xin, J Greth, J Emmons, G Pekhimenko, C Kingsford, C Alkan, O Mutlu
Bioinformatics 31 (10), 1553-1560, 2015
|Mitigating prefetcher-caused pollution using informed caching policies for prefetched blocks|
V Seshadri, S Yedkar, H Xin, O Mutlu, PB Gibbons, MA Kozuch, TC Mowry
ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 1-22, 2015
|Expert consensus on the metaverse in medicine|
D Yang, J Zhou, R Chen, Y Song, Z Song, X Zhang, Q Wang, K Wang, ...
Clinical eHealth 5, 1-9, 2022
|Optimal seed solver: optimizing seed selection in read mapping|
H Xin, S Nahar, R Zhu, J Emmons, G Pekhimenko, C Kingsford, C Alkan, ...
Bioinformatics 32 (11), 1632-1642, 2016
|A case for unlimited watchpoints|
JL Greathouse, H Xin, Y Luo, T Austin
ACM SIGPLAN Notices 47 (4), 159-172, 2012
|BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data|
X Wang, Z Sun, Y Zhang, Z Xu, H Xin, H Huang, RH Duerr, K Chen, ...
Nucleic acids research 48 (11), 5814-5824, 2020
|Soda: Detecting covid-19 in chest x-rays with semi-supervised open set domain adaptation|
J Zhou, B Jing, Z Wang, H Xin, H Tong
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021
|GMM-Demux: sample demultiplexing, multiplet detection, experiment planning, and novel cell-type verification in single cell sequencing|
H Xin, Q Lian, Y Jiang, J Luo, X Wang, C Erb, Z Xu, X Zhang, ...
Genome biology 21 (1), 1-35, 2020
|GRIM-filter: Fast seed filtering in read mapping using emerging memory technologies|
JS Kim, D Senol, H Xin, D Lee, S Ghose, M Alser, H Hassan, O Ergin, ...
arXiv preprint arXiv:1708.04329, 2017
|Fast and accurate mapping of Complete Genomics reads|
D Lee, F Hormozdiari, H Xin, F Hach, O Mutlu, C Alkan
Methods 79, 3-10, 2015
|Genome read in-memory (GRIM) filter: Fast location filtering in DNA read mapping using emerging memory technologies|
J Kim, D Senol, H Xin, D Lee, M Alser, H Hassan, O Ergin, C Alkan, ...
Pacific Symp. Biocomputing, 2017
|Artificial-cell-type aware cell-type classification in CITE-seq|
Q Lian, H Xin, J Ma, L Konnikova, W Chen, J Gu, K Chen
Bioinformatics 36 (Supplement_1), i542-i550, 2020
|Adaptively accelerating map-reduce/spark with GPUs: A case study|
KR Jayaram, A Gandhi, H Xin, S Tao
2019 IEEE International Conference on Autonomic Computing (ICAC), 105-114, 2019
|Leap: A generalization of the landau-vishkin algorithm with custom gap penalties|
H Xin, J Kim, S Nahar, C Kingsford, C Alkan, O Mutlu
bioRxiv, 133157, 2017