Quanlu Zhang

According to our database, Quanlu Zhang authored at least 46 papers between 2015 and 2026.

Collaborative distances:

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

2026

DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training.

Yuanqing Wang, Yuchen Zhang, Hao Lin, Junhao Hu, Chunyang Zhu, Quanlu Zhang, Boxun Li, Guohao Dai, Zhi Yang, Daning Cheng, Yunquan Zhang, Yu Wang

CoRR, May, 2026

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL.

Zhennan Jiang, Shangqing Zhou, Yutong Jiang, Zefang Huang, Mingjie Wei, Yuhui Chen, Tianxing Zhou, Zhen Guo, Hao Lin, Quanlu Zhang, Yu Wang, Haoran Li, Chao Yu, Dongbin Zhao

CoRR, February, 2026

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI.

Hongzhi Zang, Shu'ang Yu, Hao Lin, Tianxing Zhou, Zefang Huang, Zhen Guo, Xin Xu, Jiakai Zhou, Yuze Sheng, Shizhe Zhang, Feng Gao, Wenhao Tang, Yufeng Yue, Quanlu Zhang, Xinlei Chen, Chao Yu, Yu Wang

CoRR, February, 2026

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning.

Zelai Xu, Zhexuan Xu, Ruize Zhang, Chunyang Zhu, Shi Yu, Weilin Liu, Quanlu Zhang, Wenbo Ding, Chao Yu, Yu Wang

CoRR, February, 2026

STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning.

Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion.

Zhuoran Zhu, Chunyang Zhu, Hao Lin, Xu Fu, Yiming Zhou, Quanlu Zhang, Zhenhua Li, Feng Qian, Chao Yu, Boxun Li, Guohao Dai, Yu Wang

CoRR, December, 2025

Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design.

Zixiao Huang, Wen Zeng, Tianyu Fu, Tengxuan Liu, Yizhou Sun, Ke Hong, Xinhao Yang, Chengchun Liu, Yan Li, Quanlu Zhang, Guohao Dai, Zhenhua Zhu, Yu Wang

CoRR, November, 2025

π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models.

Kang Chen, Zhihao Liu, Tonghe Zhang, Zhen Guo, Si Xu, Hao Lin, Hongzhi Zang, Quanlu Zhang, Zhaofei Yu, Guoliang Fan, Tiejun Huang, Yu Wang, Chao Yu

CoRR, October, 2025

RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training.

Hongzhi Zang, Mingjie Wei, Si Xu, Yongji Wu, Zhen Guo, Yuanqing Wang, Hao Lin, Liangzhi Shi, Yuqing Xie, Zhexuan Xu, Zhihao Liu, Kang Chen, Wenhao Tang, Quanlu Zhang, Weinan Zhang, Chao Yu, Yu Wang

CoRR, October, 2025

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation.

Chao Yu, Yuanqing Wang, Zhen Guo, Hao Lin, Si Xu, Hongzhi Zang, Quanlu Zhang, Yongji Wu, Chunyang Zhu, Junhao Hu, Zixiao Huang, Mingjie Wei, Yuqing Xie, Ke Yang, Bo Dai, Zhexuan Xu, Xiangyuan Wang, Xu Fu, Zhihao Liu, Kang Chen, Weilin Liu, Gang Liu, Boxun Li, Jianlei Yang, Zhi Yang, Guohao Dai, Yu Wang

CoRR, September, 2025

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, July, 2025

2024

Automating Cloud Deployment for Real-Time Online Foundation Model Inference.

Yang Li, Zhenhua Li, Zhenhua Han, Quanlu Zhang, Xiaobo Ma

IEEE/ACM Trans. Netw., April, 2024

Efficient Large Language Models: A Survey.

Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Trans. Mach. Learn. Res., 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

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training.

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

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

You Only Cache Once: Decoder-Decoder Architectures for Language Models.

Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning.

Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang

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

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction.

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

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

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

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, Zhi Wang, Mao Yang

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

SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters.

Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

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

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.

Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Privacy-preserving Online AutoML for Domain-Specific Face Detection.

Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing.

Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang

CoRR, 2021

2020

How Does Supernet Help in Neural Architecture Search?

Yuge Zhang, Quanlu Zhang, Yaming Yang

CoRR, 2020

Deeper Insights into Weight Sharing in Neural Architecture Search.

Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang

CoRR, 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

AutoSys: The Design and Operation of Learning-Augmented Systems.

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

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees.

Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Francis C. M. Lau, Yuqi Wang, Yifan Xiong, Bin Wang

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Retiarii: A Deep Learning Exploratory-Training Framework.

Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Automating Cloud Deployment for Deep Learning Inference of Real-time Online Services.

Yang Li, Zhenhua Han, Quanlu Zhang, Zhenhua Li, Haisheng Tan

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.

Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the 28th International Conference on Computational Linguistics, 2020

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, Lidong Zhou

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Building efficient and available distributed transaction with Paxos-based coding consensus.

Shenglong Li, Quanlu Zhang, Zhi Yang, Hanyu Zhao, Yafei Dai

Proceedings of the IEEE INFOCOM 2018, 2018

Towards Web-based Delta Synchronization for Cloud Storage Services.

He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu

Proceedings of the 16th USENIX Conference on File and Storage Technologies, 2018

SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines.

Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai

Proceedings of the ACM Symposium on Cloud Computing, 2018

Scheduling CPU for GPU-based Deep Learning Jobs.

Wencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS.

Quanlu Zhang, Zhenhua Li, Zhi Yang, Shenglong Li, Shouyang Li, Yangze Guo, Yafei Dai

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2015

CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability.

Quanlu Zhang, Shenglong Li, Zhenhua Li, Yuanjian Xing, Zhi Yang, Yafei Dai

IEEE Trans. Cloud Comput., 2015

UStore: A Low Cost Cold and Archival Data Storage System for Data Centers.

Quanlu Zhang, Yafei Dai, Fengqian Li, Lintao Zhang

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services.

Shenglong Li, Quanlu Zhang, Zhi Yang, Yafei Dai

Proceedings of the 2015 IEEE Global Communications Conference, 2015

DSwitch: a dual mode direct and network attached disk.

Quanlu Zhang, Yafei Dai, Lintao Zhang

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015