Poster Abstract: Involving a Sensor Network System in Core Datacenter Management Functions. - Shuo Yang; Ke Hong; Lin Gu 001 (ICCPS, 2012)

VOLUME: Enable Large-Scale In-Memory Computation on Commodity Clusters. - Zhiqiang Ma 002; Ke Hong; Lin Gu 001 (CloudCom (1), 2013)

A Synergy of the Wireless Sensor Network and the Data Center System. - Ke Hong; Shuo Yang; Zhiqiang Ma 002; Lin Gu 001 (MASS, 2013)

Performance, Security, and Safety Requirements Testing for Smart Systems Through Systematic Software Analysis. - Ke Hong (2019)

A Learning-Based AoA Estimation Method for Device-Free Localization. - Ke Hong; Tianyu Wang 012; Junchen Liu; Yu Wang 002; Yuan Shen 001 (IEEE Commun. Lett., 2022)

TorchSparse++: Efficient Point Cloud Engine. - Haotian Tang; Shang Yang; Zhijian Liu; Ke Hong; Zhongming Yu; Xiuyu Li; Guohao Dai; Yu Wang 002; Song Han 003 (CVPR Workshops, 2023)

An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. - Xinhao Yang; Tianyu Fu 004; Guohao Dai; Shulin Zeng; Kai Zhong; Ke Hong; Yu Wang 002 (DAC, 2023)

A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. - Yaoxiu Lian; Xinhao Yang; Ke Hong; Yu Wang 002; Guohao Dai; Ningyi Xu (ICCAD, 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 001; Lipu Zhou; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICCV, 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 002; Song Han 003 (MICRO, 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 002 (MLSys, 2023)

FlashDecoding++: Faster Large Language Model Inference on GPUs. - Ke Hong; Guohao Dai; Jiaming Xu; Qiuli Mao; Xiuhong Li; Jun Liu 071; Kangdi Chen; Yuhan Dong; Yu Wang 002 (CoRR, 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)

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; et al. (ASPLOS (3), 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 071; Kangdi Chen; Yuhan Dong; Yu Wang 002 (MLSys, 2024)

A Survey on Efficient Inference for Large Language Models. - Zixuan Zhou; Xuefei Ning; Ke Hong; Tianyu Fu 004; Jiaming Xu; Shiyao Li; Yuming Lou; Luning Wang; Zhihang Yuan; Xiuhong Li; Shengen Yan; Guohao Dai; et al. (CoRR, 2024)

MBQ: Modality-Balanced Quantization for Large Vision-Language Models. - Shiyao Li; Yingchun Hu; Xuefei Ning; Xihui Liu; Ke Hong; Xiaotao Jia; Xiuhong Li; Yaqi Yan; Pei Ran; Guohao Dai; Shengen Yan; Huazhong Yang; et al. (CVPR, 2025)

A Point Transformer Accelerator With Distribution-Aware Heuristic Distance Calculation. - Yaoxiu Lian; Xinhao Yang; Ke Hong; Yu Wang 002; Ningyi Xu; Guohao Dai (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

FlashOverlap: A Lightweight Design for Efficiently Overlapping Communication and Computation. - Ke Hong; Xiuhong Li; Minxu Liu; Qiuli Mao; Tianqi Wu; Zixiao Huang; Lufang Chen; Zhong Wang; Yichong Zhang; Zhenhua Zhu; Guohao Dai; Yu Wang 002 (CoRR, 2025)

semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage. - Ke Hong; Lufang Chen; Zhong Wang; Xiuhong Li; Qiuli Mao; Jianping Ma; Chao Xiong; Guanyu Wu; Buhe Han; Guohao Dai; Yu Wang 002 (CoRR, 2025)

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models. - Tianchen Zhao; Ke Hong; Xinhao Yang; Xuefeng Xiao 001; Huixia Li; Feng Ling; Ruiqi Xie; Siqi Chen; Hongyu Zhu; Yichong Zhang; Yu Wang (CoRR, 2025)