Ke Hong

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Topics

Efficient Inference

Top Venues

Publications

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)
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)
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 (2024)
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)
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) (2023)
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)
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 (2023)
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)
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 (2023)
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)
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 (2023)
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)
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)
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) (2022)
Ke Hong, Shuo Yang, Zhiqiang Ma, Lin Gu
A Synergy of the Wireless Sensor Network and the Data Center System. MASS (2013)
Zhiqiang Ma, Ke Hong, Lin Gu
VOLUME: Enable Large-Scale In-Memory Computation on Commodity Clusters. CloudCom (1) (2013)
Shuo Yang, Ke Hong, Lin Gu
Poster Abstract: Involving a Sensor Network System in Core Datacenter Management Functions. ICCPS (2012)