Ningxin Zheng

According to our database, Ningxin Zheng authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Online Streaming Video Super-Resolution With Convolutional Look-Up Table.

Guanghao Yin, Zefan Qu, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu

IEEE Trans. Image Process., 2024

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference.

Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen

CoRR, 2024

FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion.

Li-Wen Chang, Wenlei Bao, Qi Hou, Chengquan Jiang, Ningxin Zheng, Yinmin Zhong, Xuanrun Zhang, Zuquan Song, Ziheng Jiang, Haibin Lin, Xin Jin, Xin Liu

CoRR, 2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

2023

Online Video Super-Resolution With Convolutional Kernel Bypass Grafts.

Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam

IEEE Trans. Multim., 2023

Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion.

Guanghao Yin, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Donglin Bai, Haisheng Tan, Shouqian Sun, Yuqing Yang, Dongsheng Li, Lili Qiu

CoRR, 2023

SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation.

Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou

CoRR, 2023

PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation.

Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

Optimizing Dynamic Neural Networks with Brainstorm.

Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning.

Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang

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

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference.

Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang

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

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention.

Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan

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

2022

Toward QoS-Awareness and Improved Utilization of Spatial Multitasking GPUs.

Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo

IEEE Trans. Computers, 2022

Online Video Super-Resolution with Convolutional Kernel Bypass Graft.

Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam

CoRR, 2022

QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services.

Kaihua Fu, Jiuchen Shi, Quan Chen, Ningxin Zheng, Wei Zhang, Deze Zeng, Minyi Guo

Proceedings of the SC22: International Conference for High Performance Computing, 2022

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute.

Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

Astraea: towards QoS-aware and resource-efficient multi-stage GPU services.

Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu

GetMobile Mob. Comput. Commun., 2021

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision.

Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li

CoRR, 2021

Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.

Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo

Proceedings of the International Conference for High Performance Computing, 2021

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices.

Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters.

Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020

Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters.

Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo

CoRR, 2020

URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds.

Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2019

URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds.

Ningxin Zheng, Quan Chen, Yong Yang, Wei Zhang, Jin Li, Wenli Zheng, Minyi Guo

CoRR, 2019

POSTER: Precise Capacity Planning for Database Public Clouds.

Ningxin Zheng, Quan Chen, Yong Yang, Jin Li, Wenli Zheng, Minyi Guo

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

CLIBE: Precise Cluster-Level I/O Bandwidth Enforcement in Distributed File System.

Ningxin Zheng, Quan Chen, Chen Chen, Minyi Guo

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018