Quanlu Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Neural Architecture

Top Venues

Publications

Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI (2024)
Yang Li, Zhenhua Li, Zhenhua Han, Quanlu Zhang, Xiaobo Ma
Automating Cloud Deployment for Real-Time Online Foundation Model Inference. IEEE/ACM Trans. Netw. 32 (2) (2024)
Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. OSDI (2024)
Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
You Only Cache Once: Decoder-Decoder Architectures for Language Models. CoRR (2024)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024)
Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR (2023)
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP (2023)
Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. MLSys (2023)
Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR (2023)
Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR (2023)
Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR (2023)
Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV (2023)
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Yuqing Yang, Lingxiao Ma, Fan Yang, Lili Qiu, Mao Yang, Lidong Zhou
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. CoRR (2023)
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. EuroSys (2023)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. CoRR (2023)
Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. ICCV (2023)
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD (2022)
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR (2022)
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. OSDI (2022)
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CoRR (2022)
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CVPR (2022)
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. CoRR (2021)
Yuzhen Cao, Jiayong Mao, Hui Yu, Qinhao Zhang, Huiquan Wang, Quanlu Zhang, Lingfei Guo, Fei Gao
A Novel Hybrid Active Contour Model for Intracranial Tuberculosis MRI Segmentation Applications. IEEE Access 8 (2020)
Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
Retiarii: A Deep Learning Exploratory-Training Framework. OSDI (2020)
Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. COLING (2020)
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. OSDI (2020)
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
AutoSys: The Design and Operation of Learning-Augmented Systems. USENIX Annual Technical Conference (2020)
Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. CoRR (2020)
Yuge Zhang, Quanlu Zhang, Yaming Yang
How Does Supernet Help in Neural Architecture Search? CoRR (2020)
Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang
Deeper Insights into Weight Sharing in Neural Architecture Search. CoRR (2020)
Yang Li, Zhenhua Han, Quanlu Zhang, Zhenhua Li, Haisheng Tan
Automating Cloud Deployment for Deep Learning Inference of Real-time Online Services. INFOCOM (2020)
Wencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou
Scheduling CPU for GPU-based Deep Learning Jobs. SoCC (2018)
Shenglong Li, Quanlu Zhang, Zhi Yang, Hanyu Zhao, Yafei Dai
Building efficient and available distributed transaction with Paxos-based coding consensus. INFOCOM Workshops (2018)
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
Gandiva: Introspective Cluster Scheduling for Deep Learning. OSDI (2018)
He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
Towards Web-based Delta Synchronization for Cloud Storage Services. FAST (2018)
Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines. SoCC (2018)
Quanlu Zhang, Zhenhua Li, Zhi Yang, Shenglong Li, Shouyang Li, Yangze Guo, Yafei Dai
DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS. ICDCS (2017)
Quanlu Zhang, Yafei Dai, Lintao Zhang
DSwitch: a dual mode direct and network attached disk. SoCC (2015)
Quanlu Zhang, Shenglong Li, Zhenhua Li, Yuanjian Xing, Zhi Yang, Yafei Dai
CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability. IEEE Trans. Cloud Comput. 3 (3) (2015)
Quanlu Zhang, Yafei Dai, Fengqian Li, Lintao Zhang
UStore: A Low Cost Cold and Archival Data Storage System for Data Centers. ICDCS (2015)
Shenglong Li, Quanlu Zhang, Zhi Yang, Yafei Dai
Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services. GLOBECOM (2015)