| Computing platforms for big biological data analytics: perspectives and challenges Z Yin, H Lan, G Tan, M Lu, AV Vasilakos, W Liu Computational and structural biotechnology journal 15, 403-411, 2017 | 78 | 2017 |
| Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term L Zheng, J Meng, K Jiang, H Lan, Z Wang, M Lin, W Li, H Guo, Y Wei, ... Briefings in Bioinformatics 23 (3), bbac051, 2022 | 59 | 2022 |
| Xsw: Accelerating biological database search on xeon phi L Wang, Y Chan, X Duan, H Lan, X Meng, W Liu 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 37 | 2014 |
| When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14—(tFold for CASP14 contact prediction) T Shen, J Wu, H Lan, L Zheng, J Pei, S Wang, W Liu, J Huang Proteins: Structure, Function, and Bioinformatics 89 (12), 1901-1910, 2021 | 35 | 2021 |
| FeatherCNN: Fast inference computation with TensorGEMM on ARM architectures H Lan, J Meng, C Hundt, B Schmidt, M Deng, X Wang, W Liu, Y Qiao, ... IEEE Transactions on Parallel and Distributed Systems 31 (3), 580-594, 2019 | 28 | 2019 |
| SWhybrid: a hybrid-parallel framework for large-scale protein sequence database search H Lan, W Liu, Y Liu, B Schmidt 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 20 | 2017 |
| BGSA: a bit-parallel global sequence alignment toolkit for multi-core and many-core architectures J Zhang, H Lan, Y Chan, Y Shang, B Schmidt, W Liu Bioinformatics 35 (13), 2306-2308, 2019 | 19 | 2019 |
| Accelerating large-scale biological database search on Xeon Phi-based neo-heterogeneous architectures H Lan, W Liu, B Schmidt, B Wang 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 17 | 2015 |
| Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters H Lan, Y Chan, K Xu, B Schmidt, S Peng, W Liu BMC bioinformatics 17, 11-23, 2016 | 15 | 2016 |
| RabbitQC: high-speed scalable quality control for sequencing data Z Yin, H Zhang, M Liu, W Zhang, H Song, H Lan, Y Wei, B Niu, B Schmidt, ... Bioinformatics 37 (4), 573-574, 2021 | 10 | 2021 |
| Automatic generation of high-performance convolution kernels on arm cpus for deep learning J Meng, C Zhuang, P Chen, M Wahib, B Schmidt, X Wang, H Lan, D Wu, ... IEEE Transactions on Parallel and Distributed Systems 33 (11), 2885-2899, 2022 | 9 | 2022 |
| EBM-Fold: fully-differentiable protein folding powered by energy-based models J Wu, S Luo, T Shen, H Lan, S Wang, J Huang arXiv preprint arXiv:2105.04771, 2021 | 9 | 2021 |
| PUNAS: A parallel ungapped-alignment-featured seed verification algorithm for next-generation sequencing read alignment Y Chan, K Xu, H Lan, W Liu, Y Liu, B Schmidt 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 8 | 2017 |
| SE (3)-equivariant energy-based models for end-to-end protein folding J Wu, T Shen, H Lan, Y Bian, J Huang bioRxiv, 2021.06. 06.447297, 2021 | 5 | 2021 |
| Myphi: efficient levenshtein distance computation on xeon phi based architectures Y Chan, K Xu, H Lan, B Schmidt, S Peng, W Liu Current Bioinformatics 13 (5), 479-486, 2018 | 5 | 2018 |
| tFold-TR: combining deep learning enhanced hybrid potential energy for template-based modeling structure refinement L Zheng, H Lan, T Shen, J Wu, S Wang, W Liu, J Huang arXiv preprint arXiv:2105.04350, 2021 | 2 | 2021 |
| XPFS: A new parallel PROSITE profile search algorithm on Xeon Phi Q Zheng, H Lan, W Liu 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 1 | 2014 |
| Efficient Phase-Functioned Real-time Character Control in Mobile Games: A TVM Enabled Approach H Lan, W Zhu, D Wu, Q Qiu, H Zhu, J Zhao, X Fu, L Wei, J Meng, M Deng Proceedings of the 51st International Conference on Parallel Processing, 1-9, 2022 | | 2022 |
Jintao MengShenzhen Institute of Advanced Technology, CAS, P.R. ChinaVerifisert e-postadresse på siat.ac.cn
