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2020 – today
- 2024
[c11]Kai Zhong
, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang:
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. ASPLOS (3) 2024: 349-366- [c10]Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics. MLSys 2024 - [i4]Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang:
A Survey on Efficient Inference for Large Language Models. CoRR abs/2404.14294 (2024) - 2023
- [j2]Yaofeng Tu, Jiahao Niu, Dezheng Wang, Hong Gao, Jin Xu, Ke Hong, Fang Yang:
BDMasker: Dynamic Data Protection System for Open Big Data Environment. Int. J. Softw. Informatics 13(1): 87-115 (2023) - [c9]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops 2023: 202-209 - [c8]Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang:
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC 2023: 1-6 - [c7]Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu:
A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. ICCAD 2023: 1-9 - [c6]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [c5]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO 2023: 225-239 - [c4]Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, Yu Wang:
Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds. MLSys 2023 - [i3]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - [i2]Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang:
FlashDecoding++: Faster Large Language Model Inference on GPUs. CoRR abs/2311.01282 (2023) - [i1]Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han:
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR abs/2311.12862 (2023) - 2022
- [j1]Ke Hong, Tianyu Wang, Junchen Liu, Yu Wang, Yuan Shen:
A Learning-Based AoA Estimation Method for Device-Free Localization. IEEE Commun. Lett. 26(6): 1264-1267 (2022)
2010 – 2019
- 2019
- [b1]Ke Hong:
Performance, Security, and Safety Requirements Testing for Smart Systems Through Systematic Software Analysis. University of Michigan, USA, 2019 - 2013
- [c3]Zhiqiang Ma, Ke Hong, Lin Gu:
VOLUME: Enable Large-Scale In-Memory Computation on Commodity Clusters. CloudCom (1) 2013: 56-63 - [c2]Ke Hong, Shuo Yang, Zhiqiang Ma, Lin Gu:
A Synergy of the Wireless Sensor Network and the Data Center System. MASS 2013: 263-271 - 2012
- [c1]Shuo Yang, Ke Hong, Lin Gu:
Poster Abstract: Involving a Sensor Network System in Core Datacenter Management Functions. ICCPS 2012: 235
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