DSwitch: a dual mode direct and network attached disk. - Quanlu Zhang; Yafei Dai; Lintao Zhang (SoCC, 2015)

Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services. - Shenglong Li; Quanlu Zhang; Zhi Yang 001; Yafei Dai (GLOBECOM, 2015)

UStore: A Low Cost Cold and Archival Data Storage System for Data Centers. - Quanlu Zhang; Yafei Dai; Fengqian Li; Lintao Zhang (ICDCS, 2015)

CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability. - Quanlu Zhang; Shenglong Li; Zhenhua Li 001; Yuanjian Xing; Zhi Yang 001; Yafei Dai (IEEE Trans. Cloud Comput., 2015)

DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS. - Quanlu Zhang; Zhenhua Li 001; Zhi Yang 001; Shenglong Li; Shouyang Li; Yangze Guo; Yafei Dai (ICDCS, 2017)

Scheduling CPU for GPU-based Deep Learning Jobs. - Wencong Xiao; Zhenhua Han; Hanyu Zhao; Xuan Peng; Quanlu Zhang; Fan Yang 024; Lidong Zhou (SoCC, 2018)

SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines. - Hanyu Zhao; Quanlu Zhang; Zhi Yang 001; Ming Wu 007; Yafei Dai (SoCC, 2018)

Towards Web-based Delta Synchronization for Cloud Storage Services. - He Xiao; Zhenhua Li 001; Ennan Zhai; Tianyin Xu; Yang Li 092; Yunhao Liu 001; Quanlu Zhang; Yao Liu 001 (FAST, 2018)

Building efficient and available distributed transaction with Paxos-based coding consensus. - Shenglong Li; Quanlu Zhang; Zhi Yang 001; Hanyu Zhao; Yafei Dai (INFOCOM Workshops, 2018)

Gandiva: Introspective Cluster Scheduling for Deep Learning. - Wencong Xiao; Romil Bhardwaj; Ramachandran Ramjee; Muthian Sivathanu; Nipun Kwatra; Zhenhua Han; Pratyush Patel; Xuan Peng; Hanyu Zhao; Quanlu Zhang; Fan Yang 024; Lidong Zhou (OSDI, 2018)

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. - Yihuan Mao; Yujing Wang; Chufan Wu; Chen Zhang 001; Yang Wang 053; Quanlu Zhang; Yaming Yang 001; Yunhai Tong; Jing Bai 010 (COLING, 2020)

Automating Cloud Deployment for Deep Learning Inference of Real-time Online Services. - Yang Li 092; Zhenhua Han; Quanlu Zhang; Zhenhua Li 001; Haisheng Tan (INFOCOM, 2020)

Retiarii: A Deep Learning Exploratory-Training Framework. - Quanlu Zhang; Zhenhua Han; Fan Yang 024; Yuge Zhang; Zhe Liu; Mao Yang 004; Lidong Zhou (OSDI, 2020)

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. - Hanyu Zhao; Zhenhua Han; Zhi Yang 001; Quanlu Zhang; Fan Yang 024; Lidong Zhou; Mao Yang 004; Francis C. M. Lau 001; Yuqi Wang; Yifan Xiong 001; Bin Wang (OSDI, 2020)

AutoSys: The Design and Operation of Learning-Augmented Systems. - Chieh-Jan Mike Liang; Hui Xue 004; Mao Yang 004; Lidong Zhou; Lifei Zhu; Zhao Lucis Li; Zibo Wang; Qi Chen 009; Quanlu Zhang; Chuanjie Liu; Wenjun Dai (USENIX ATC, 2020)

A Novel Hybrid Active Contour Model for Intracranial Tuberculosis MRI Segmentation Applications. - Yuzhen Cao; Jiayong Mao; Hui Yu; Qinhao Zhang; Huiquan Wang; Quanlu Zhang; Lingfei Guo; Fei Gao (IEEE Access, 2020)

Deeper Insights into Weight Sharing in Neural Architecture Search. - Yuge Zhang; Zejun Lin; Junyang Jiang; Quanlu Zhang; Yujing Wang; Hui Xue 004; Chen Zhang 001; Yaming Yang 001 (CoRR, 2020)

How Does Supernet Help in Neural Architecture Search? - Yuge Zhang; Quanlu Zhang; Yaming Yang 001 (CoRR, 2020)

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. - Yuge Zhang; Chenqian Yan; Quanlu Zhang; Li Lyna Zhang; Yaming Yang 001; Xiaotian Gao; Yuqing Yang 001 (CoRR, 2021)

Privacy-preserving Online AutoML for Domain-Specific Face Detection. - Chenqian Yan; Yuge Zhang; Quanlu Zhang; Yaming Yang 001; Xinyang Jiang; Yuqing Yang 001; Baoyuan Wang (CVPR, 2022)

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Chen Zhang 001; Ying Cao; Quanlu Zhang; Yunxin Liu 001; Fan Yang 024; Minyi Guo (ICCD, 2022)

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. - Ningxin Zheng; Bin Lin; Quanlu Zhang; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Yang Wang 053; Mao Yang 004; Lidong Zhou (OSDI, 2022)

SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. - Hanyu Zhao; Zhenhua Han; Zhi Yang 001; Quanlu Zhang; Mingxia Li; Fan Yang 024; Qianxi Zhang; Binyang Li; Yuqing Yang 001; Lili Qiu; Lintao Zhang; Lidong Zhou (EuroSys, 2023)

ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. - Chen Tang; Li Lyna Zhang; Huiqiang Jiang; Jiahang Xu; Ting Cao; Quanlu Zhang; Yuqing Yang 001; Zhi Wang; Mao Yang 004 (ICCV, 2023)

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. - Xudong Wang; Li Lyna Zhang; Jiahang Xu; Quanlu Zhang; Yujing Wang; Yuqing Yang 001; Ningxin Zheng; Ting Cao; Mao Yang 004 (ICCV, 2023)

Efficient GPU Kernels for N: M-Sparse Weights in Deep Learning. - Bin Lin; Ningxin Zheng; Lei Wang 222; Shijie Cao; Lingxiao Ma; Quanlu Zhang; Yi Zhu; Ting Cao; Jilong Xue; Yuqing Yang 001; Fan Yang 024 (MLSys, 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 001; Fan Yang 024; Chengruidong Zhang; Lili Qiu; Mao Yang 004; Lidong Zhou (SOSP, 2023)

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. - Zhiqi Lin; Youshan Miao; Guodong Liu; Xiaoxiang Shi; Quanlu Zhang; Fan Yang 024; Saeed Maleki; Yi Zhu; Xu Cao; Cheng Li 001; Mao Yang 004; Lintao Zhang; et al. (CoRR, 2023)

SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. - Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Yuqing Yang 001; Lingxiao Ma; Fan Yang 024; Lili Qiu; Mao Yang 004; Lidong Zhou (CoRR, 2023)

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. - Yang Liu 212; Shen Yan; Yuge Zhang; Kan Ren; Quanlu Zhang; Zebin Ren; Deng Cai 001; Mi Zhang 002 (CoRR, 2023)

You Only Cache Once: Decoder-Decoder Architectures for Language Models. - Yutao Sun; Li Dong 004; Yi Zhu; Shaohan Huang; Wenhui Wang 003; Shuming Ma; Quanlu Zhang; Jianyong Wang 001; Furu Wei (NeurIPS, 2024)

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. - Zhiqi Lin; Youshan Miao; Quanlu Zhang; Fan Yang 024; Yi Zhu; Cheng Li 001; Saeed Maleki; Xu Cao; Ning Shang; Yilei Yang; Weijiang Xu; Mao Yang 004; et al. (OSDI, 2024)

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. - Lei Wang 222; Lingxiao Ma; Shijie Cao; Quanlu Zhang; Jilong Xue; Yining Shi 001; Ningxin Zheng; Ziming Miao; Fan Yang 024; Ting Cao; Yuqing Yang 001; Mao Yang 004 (OSDI, 2024)

Efficient Large Language Models: A Survey. - Zhongwei Wan; Xin Wang 120; Che Liu; Samiul Alam; Yu Zheng 022; Jiachen Liu; Zhongnan Qu; Shen Yan; Yi Zhu; Quanlu Zhang; Mosharaf Chowdhury; Mi Zhang 002 (Trans. Mach. Learn. Res., 2024)

Automating Cloud Deployment for Real-Time Online Foundation Model Inference. - Yang Li 092; Zhenhua Li 001; Zhenhua Han; Quanlu Zhang; Xiaobo Ma (IEEE/ACM Trans. Netw., 2024)

Reducing GPU Memory Fragmentation via Spatio-Temporal Planning for Efficient Large-Scale Model Training. - Zixiao Huang; Junhao Hu; Hao Lin; Chunyang Zhu; Yueran Tang; Quanlu Zhang; Zhen Guo; Zhenhua Li; Shengen Yan; Zhenhua Zhu; Guohao Dai; Yu Wang (CoRR, 2025)