Ke Hong

31 papers A* 4A 2B 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CD-LLM: A Heterogeneous Multi-FPGA System for Batched Decoding of 70B+ LLMs Using a Compute-Dedicated Architecture.
ACM Trans. Reconfigurable Technol. Syst.
Wenheng Ma, Xinhao Yang, Shulin Zeng, Tengxuan Liu, Libo Shen, Hongyi Wang, Shiyao Li, Ke Hong, Zhenhua Zhu, Xuefei Ning, Tsung-Yi Ho, Guohao Dai, Yu Wang
2026 A conf
Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering.
EuroSys
Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang
2025 J jnl
A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Ningyi Xu, Guohao Dai
2025 J jnl
FlashDecoding++Next: High Throughput LLM Inference With Latency and Memory Optimization.
IEEE Trans. Computers
Guohao Dai, Ke Hong, Qiuli Mao, Xiuhong Li, Jiaming Xu, Haofeng Huang, Hongtu Xia, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang
2025 J jnl
FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation.
CoRR
Ke Hong, Xiuhong Li, Minxu Liu, Qiuli Mao, Tianqi Wu, Zixiao Huang, Lufang Chen, Zhong Wang, Yichong Zhang, Zhenhua Zhu, Guohao Dai, Yu Wang
2025 A* conf
MBQ: Modality-Balanced Quantization for Large Vision-Language Models.
CVPR
Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025 J jnl
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models.
CoRR
Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, Siqi Chen, Hongyu Zhu, Yichong Zhang, Yu Wang
2025 J jnl
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design.
CoRR
Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang
2025 — conf
SOLA: Optimizing SLO Attainment for Large Language Model Serving with State-Aware Scheduling.
MLSys
Ke Hong, Xiuhong Li, Lufang Chen, Qiuli Mao, Guohao Dai, Xuefei Ning, Shengen Yan, Yun Liang, Yu Wang
2025 J jnl
TASP: Topology-aware Sequence Parallelism.
CoRR
Yida Wang, Ke Hong, Xiuhong Li, Yuanchao Xu, Wenxun Wang, Guohao Dai, Yu Wang
2025 J jnl
db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence Parallelism.
CoRR
Siqi Chen, Ke Hong, Tianchen Zhao, Ruiqi Xie, Zhenhua Zhu, Xudong Zhang, Yu Wang
2025 J jnl
semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage.
CoRR
Ke Hong, Lufang Chen, Zhong Wang, Xiuhong Li, Qiuli Mao, Jianping Ma, Chao Xiong, Guanyu Wu, Buhe Han, Guohao Dai, Yu Wang
2024 J jnl
A Survey on Efficient Inference for Large Language Models.
CoRR
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
2024 — conf
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning.
ASPLOS (3)
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
2024 — conf
FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics.
MLSys
Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang
2024 J jnl
MBQ: Modality-Balanced Quantization for Large Vision-Language Models.
CoRR
Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2023 A conf
A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS.
ICCAD
Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu
2023 A* conf
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
ICCV
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023 J jnl
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection.
CoRR
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
2023 A* conf
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks.
DAC
Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang
2023 J jnl
BDMasker: Dynamic Data Protection System for Open Big Data Environment.
Int. J. Softw. Informatics
Yaofeng Tu, Jiahao Niu, Dezheng Wang, Hong Gao, Jin Xu, Ke Hong, Fang Yang
2023 — conf
Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds.
MLSys
Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, Yu Wang
2023 J jnl
FlashDecoding++: Faster Large Language Model Inference on GPUs.
CoRR
Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang
2023 — conf
TorchSparse++: Efficient Point Cloud Engine.
CVPR Workshops
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
2023 A* conf
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
MICRO
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
2023 J jnl
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
CoRR
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
2022 J jnl
A Learning-Based AoA Estimation Method for Device-Free Localization.
IEEE Commun. Lett.
Ke Hong, Tianyu Wang, Junchen Liu, Yu Wang, Yuan Shen
2019 — —
Performance, Security, and Safety Requirements Testing for Smart Systems Through Systematic Software Analysis.
Ke Hong
2013 B conf
A Synergy of the Wireless Sensor Network and the Data Center System.
MASS
Ke Hong, Shuo Yang, Zhiqiang Ma, Lin Gu
2013 — conf
VOLUME: Enable Large-Scale In-Memory Computation on Commodity Clusters.
CloudCom (1)
Zhiqiang Ma, Ke Hong, Lin Gu
2012 — conf
Poster Abstract: Involving a Sensor Network System in Core Datacenter Management Functions.
ICCPS
Shuo Yang, Ke Hong, Lin Gu