Ningxin Zheng - RankMe

39 papers A* 8A 5B 2C 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. EuroSys Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2026	A	`conf`	MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production. EuroSys Chunyu Xue, Yangrui Chen, Jianyu Jiang, Ningxin Zheng, Junda Feng, Jingji Chen, Shixiong Zhao, Shen Yan, Yi Lin, Lei Shi, Zanbo Wang, Lishu Luo, Faming Wu, Haibin Lin, Yanghua Peng, Xin Liu, Quan Chen
2025	J	`jnl`	Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution. CoRR Shulai Zhang, Ao Xu, Quan Chen, Han Zhao, Weihao Cui, Ningxin Zheng, Haibin Lin, Xin Liu, Minyi Guo
2025	—	`conf`	COMET: Fine-grained Computation-communication Overlapping for Mixture-of-Experts. MLSys Shulai Zhang, Ningxin Zheng, Haibin Lin, Ziheng Jiang, Wenlei Bao, Chengquan Jiang, Qi Hou, Weihao Cui, Size Zheng, Li-Wen Chang, Quan Chen, Xin Liu
2025	J	`jnl`	Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts. CoRR Shulai Zhang, Ningxin Zheng, Haibin Lin, Ziheng Jiang, Wenlei Bao, Chengquan Jiang, Qi Hou, Weihao Cui, Size Zheng, Li-Wen Chang, Quan Chen, Xin Liu
2025	J	`jnl`	MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. CoRR Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2025	A*	`conf`	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. ICML Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2025	—	`conf`	TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives. MLSys Size Zheng, Jin Fang, Xuegui Zheng, Qi Hou, Wenlei Bao, Ningxin Zheng, Ziheng Jiang, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Xin Liu
2025	J	`jnl`	TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives. CoRR Size Zheng, Jin Fang, Xuegui Zheng, Qi Hou, Wenlei Bao, Ningxin Zheng, Ziheng Jiang, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Xin Liu
2025	J	`jnl`	Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler. CoRR Size Zheng, Wenlei Bao, Qi Hou, Xuegui Zheng, Jin Fang, Chenhui Huang, Tianqi Li, Haojie Duanmu, Renze Chen, Ruifan Xu, Yifan Guo, Ningxin Zheng, Ziheng Jiang, Xinyi Di, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Liqiang Lu, Yun Liang, Jidong Zhai, Xin Liu
2024	J	`jnl`	FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion. CoRR 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
2024	A*	`conf`	Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
2024	J	`jnl`	Online Streaming Video Super-Resolution With Convolutional Look-Up Table. IEEE Trans. Image Process. Guanghao Yin, Zefan Qu, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Xiaohong Liu, Yuqing Yang, Dongsheng Li, Lili Qiu
2024	J	`jnl`	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. CoRR Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2023	—	`conf`	Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
2023	A*	`conf`	EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention. CVPR Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan
2023	J	`jnl`	EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention. CoRR Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan
2023	J	`jnl`	Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion. CoRR Guanghao Yin, Xinyang Jiang, Shan Jiang, Zhenhua Han, Ningxin Zheng, Huan Yang, Donglin Bai, Haisheng Tan, Shouqian Sun, Yuqing Yang, Dongsheng Li, Lili Qiu
2023	J	`jnl`	Online Video Super-Resolution With Convolutional Kernel Bypass Grafts. IEEE Trans. Multim. Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
2023	A*	`conf`	Optimizing Dynamic Neural Networks with Brainstorm. OSDI 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
2023	A*	`conf`	PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
2023	A*	`conf`	SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
2023	J	`jnl`	SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
2023	J	`jnl`	SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. CoRR Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou
2022	A*	`conf`	Astraea: towards QoS-aware and resource-efficient multi-stage GPU services. ASPLOS Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
2022	J	`jnl`	Online Video Super-Resolution with Convolutional Kernel Bypass Graft. CoRR Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam
2022	A	`conf`	QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services. SC Kaihua Fu, Jiuchen Shi, Quan Chen, Ningxin Zheng, Wei Zhang, Deze Zeng, Minyi Guo
2022	A*	`conf`	SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. OSDI Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
2022	J	`jnl`	Toward QoS-Awareness and Improved Utilization of Spatial Multitasking GPUs. IEEE Trans. Computers Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo
2021	C	`conf`	CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters. ICCD Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo
2021	A	`conf`	Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. SC Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo
2021	J	`jnl`	Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. CoRR Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li
2021	J	`jnl`	nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. GetMobile Mob. Comput. Commun. Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu
2021	A	`conf`	nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. MobiSys Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
2020	J	`jnl`	Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters. CoRR Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
2020	B	`conf`	URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. ICPP Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo
2019	B	`conf`	POSTER: Precise Capacity Planning for Database Public Clouds. PACT Ningxin Zheng, Quan Chen, Yong Yang, Jin Li, Wenli Zheng, Minyi Guo
2019	J	`jnl`	URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds. CoRR Ningxin Zheng, Quan Chen, Yong Yang, Wei Zhang, Jin Li, Wenli Zheng, Minyi Guo
2018	—	`conf`	CLIBE: Precise Cluster-Level I/O Bandwidth Enforcement in Distributed File System. HPCC/SmartCity/DSS Ningxin Zheng, Quan Chen, Chen Chen, Minyi Guo