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ORCIDShiyang Chen
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2020 – today
- 2024
[j13]Hongwei Chen
, Shiyang Chen, Joshua J. Turner, Adrian E. Feiguin:
Kernel fusion in atomistic spin dynamics simulations on Nvidia GPUs using tensor core. J. Comput. Sci. 81: 102357 (2024)- [j12]Yatang Wu, Changliang Shao, Jing Zhang, Yiliang Liu, Han Li, Leichao Ma, Ming Li, Beibei Shen, Lulu Hou, Shiyang Chen, Dawei Xu, Xiaoping Xin, Xiaoni Liu:
Elevation-Dependent Contribution of the Response and Sensitivity of Vegetation Greenness to Hydrothermal Conditions on the Grasslands of Tibet Plateau from 2000 to 2021. Remote. Sens. 16(1): 201 (2024) - [j11]Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu:
TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21(2): 37 (2024) - [j10]Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu:
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35(8): 1469-1487 (2024) - [c13]Yao Liu, Shiyang Chen, Long Ma, Guolong Yang, Kun Wan:
Real-Time Order Book Building and Snapshot Generating for High Frequency Trading on FPGA. ASAP 2024: 71-76 - [c12]Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. USENIX ATC 2024: 699-713 - [i8]Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. CoRR abs/2401.14112 (2024) - 2023
- [j9]Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong:
Motif-Based Graph Representation Learning with Application to Chemical Molecules. Informatics 10(1): 8 (2023) - [c11]Wang Feng, Shiyang Chen, Hang Liu, Yuede Ji:
PeeK: A Prune-Centric Approach for K Shortest Path Computation. SC 2023: 18:1-18:14 - [c10]Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu:
TANGO: re-thinking quantization for graph neural network training on GPUs. SC 2023: 38:1-38:14 - [i7]Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu:
Tango: rethinking quantization for graph neural network training on GPUs. CoRR abs/2308.00890 (2023) - [i6]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i5]Xiaoxia Wu, Haojun Xia, Stephen Youn, Zhen Zheng, Shiyang Chen, Arash Bakhtiari, Michael Wyatt, Reza Yazdani Aminabadi, Yuxiong He, Olatunji Ruwase, Leon Song, Zhewei Yao:
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. CoRR abs/2312.08583 (2023) - 2022
- [c9]Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) 2022: 190-200 - [c8]Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding:
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC 2022: 1135-1140 - [i4]Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding:
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR abs/2208.03646 (2022) - [i3]Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong:
Motif-based Graph Representation Learning with Application to Chemical Molecules. CoRR abs/2208.04529 (2022) - 2021
- [c7]Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding:
HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI 2021: 169-174 - [c6]Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 2021: 1-7 - [c5]Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu:
E.T.: re-thinking self-attention for transformer models on GPUs. SC 2021: 25 - [i2]Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR abs/2109.06355 (2021) - [i1]Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. CoRR abs/2110.08190 (2021)
2010 – 2019
- 2019
- [b1]Shiyang Chen:
Spatiotemporal modeling of brain dynamics using machine learning approaches. Georgia Institute of Technology, Atlanta, GA, USA, 2019 - [j8]John M. Drake, Tobias S. Brett, Shiyang Chen, Bogdan I. Epureanu, Matthew J. Ferrari, Éric Marty, Paige B. Miller, Eamon B. O'Dea, Suzanne M. O'Regan, Andrew W. Park, Pejman Rohani:
The statistics of epidemic transitions. PLoS Comput. Biol. 15(5) (2019) - [j7]Shiyang Chen, Lijia Huang, Xiaolan Qiu, Mingyang Shang, Bing Han:
An Improved Imaging Algorithm for High-Resolution Spotlight SAR with Continuous PRI Variation Based on Modified Sinc Interpolation. Sensors 19(2): 389 (2019) - 2018
- [j6]Shiyang Chen, Xiaoping Hu:
Individual Identification Using the Functional Brain Fingerprint Detected by the Recurrent Neural Network. Brain Connect. 8(4): 197-204 (2018) - 2017
- [j5]Xiang Wang, Tao Wang, Shiyang Chen, Renhao Fan, Yang Xu, Weike Wang, Hongge Li, Tongsheng Xia:
Track fusion based on threshold factor classification algorithm in wireless sensor networks. Int. J. Commun. Syst. 30(7) (2017) - [j4]Jacob C. Billings, Alessio Medda, Sadia Shakil, Xiaohong Shen, Amrit Kashyap, Shiyang Chen, Anzar Abbas, Xiaodi Zhang, Maysam Nezafati, Wen-Ju Pan, Gordon J. Berman, Shella D. Keilholz:
Instantaneous brain dynamics mapped to a continuous state space. NeuroImage 162: 344-352 (2017) - 2016
- [j3]Shiyang Chen, Jason Langley, Xiangchuan Chen, Xiaoping Hu:
Spatiotemporal Modeling of Brain Dynamics Using Resting-State Functional Magnetic Resonance Imaging with Gaussian Hidden Markov Model. Brain Connect. 6(4): 326-334 (2016) - [c4]Shiyang Chen, Bing Ji, Zhihao Li, Jason Langley, Xiaoping Hu:
Dynamic analysis of resting state fMRI data and its applications. ICASSP 2016: 6295-6299 - 2015
- [j2]Qingnan Lai, Changling Zhou, Hao Ma, Zhen Wu, Shiyang Chen:
Visualizing and characterizing DNS lookup behaviors via log-mining. Neurocomputing 169: 100-109 (2015) - [j1]Xuejun Li, Shiyang Chen, Yiwen Zhang, Longshu Li:
Keepaway抢球任务中基于策略重用的迁移学习算法 (Transfer Learning Algorithm between Keepaway Tasks Based on Policy Reuse). 计算机科学 42(4): 190-193 (2015) - [c3]Xiang Wang, Shiyang Chen, Xiaocui Wang, Yang Xu, Rong Zhang, Tao Wang, Bin Xu:
Threshold Factor Track Classification Algorithm Based on Target Motion Model. UIC/ATC/ScalCom 2015: 1163-1168 - 2012
- [c2]Shiyang Chen, Xiaoying Gan, He Li:
Energy efficiency driven random access in WLAN system. WCSP 2012: 1-6 - 2011
- [c1]Le Zhao, Shiyang Chen, Xiaoying Gan:
From reconfigurable SDR to cognitive femto-cell: A practical platform. WCSP 2011: 1-6
Coauthor Index
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