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ORCIDYafan Huang
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2020 – today
- 2024
[c14]Shihui Song
, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello:
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. HPDC 2024: 309-321- [c13]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448 - [c12]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - [i4]Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - [i3]Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. CoRR abs/2408.11971 (2024) - 2023
- [c11]Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello:
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. CCGrid 2023: 651-661 - [c10]Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li:
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. ISSRE 2023: 730-741 - [c9]Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello:
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC 2023: 43:1-43:13 - [c8]Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li:
Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. SC 2023: 86:1-86:13 - [i2]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR abs/2308.05199 (2023) - [i1]Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello:
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR abs/2312.05492 (2023) - 2022
- [j3]Feng Zhao, Xiangyu Gui, Yafan Huang, Hai Jin, Laurence T. Yang:
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes. IEEE Trans. Big Data 8(4): 1059-1072 (2022) - [c7]Bohan Zhang, Yafan Huang, Rachael Chen, Guanpeng Li:
D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems. ISSRE Workshops 2022: 262-267 - [c6]Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Hardening selective protection across multiple program inputs for HPC applications. PPoPP 2022: 437-438 - [c5]Bohan Zhang, Yafan Huang, Guanpeng Li:
Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems. QRS 2022: 85-94 - [c4]Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello:
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. SC 2022: 17:1-17:14 - [c3]Xiaokai Liu, Shihui Song, Menghua Zhang, Yafan Huang:
MATT. A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification. SMC 2022: 782-787 - 2021
- [j2]Fulan Qian, Yafan Huang, Jianhong Li, Chengjun Wang, Shu Zhao, Yanping Zhang:
DLSA: dual-learning based on self-attention for rating prediction. Int. J. Mach. Learn. Cybern. 12(7): 1993-2005 (2021) - [j1]Yafan Huang, Feng Zhao, Xiangyu Gui, Hai Jin:
Path-enhanced explainable recommendation with knowledge graphs. World Wide Web 24(5): 1769-1789 (2021) - [c2]Shihui Song, Yafan Huang, Hongwei Lu:
Rumor Detection on Social Media with Out-In-Degree Graph Convolutional Networks. SMC 2021: 2395-2400 - 2020
- [c1]Fulan Qian, Yafan Huang, Jianhong Li, Shu Zhao, Jie Chen, Xiangyang Wang, Yanping Zhang:
HGAR: Hybrid Granular Algorithm for Rating Recommendation. IJCRS 2020: 267-279
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