Ke Hong

According to our database, Ke Hong authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Survey on Efficient Inference for Large Language Models.

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

CoRR, 2024

FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics.

Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

BDMasker: Dynamic Data Protection System for Open Big Data Environment.

Yaofeng Tu, Jiahao Niu, Dezheng Wang, Hong Gao, Jin Xu, Ke Hong, Fang Yang

Int. J. Softw. Informatics, 2023

FlashDecoding++: Faster Large Language Model Inference on GPUs.

Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang

CoRR, 2023

Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds.

Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, Yu Wang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.

Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS.

Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks.

Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

TorchSparse++: Efficient Point Cloud Engine.

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Learning-Based AoA Estimation Method for Device-Free Localization.

Ke Hong, Tianyu Wang, Junchen Liu, Yu Wang, Yuan Shen

IEEE Commun. Lett., 2022

2019

Performance, Security, and Safety Requirements Testing for Smart Systems Through Systematic Software Analysis.

Ke Hong

PhD thesis, 2019

2013

A Synergy of the Wireless Sensor Network and the Data Center System.

Ke Hong, Shuo Yang, Zhiqiang Ma, Lin Gu

Proceedings of the IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, 2013

VOLUME: Enable Large-Scale In-Memory Computation on Commodity Clusters.

Zhiqiang Ma, Ke Hong, Lin Gu

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2012

Poster Abstract: Involving a Sensor Network System in Core Datacenter Management Functions.

Shuo Yang, Ke Hong, Lin Gu

Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems, 2012