Chuan Wu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 137

Top Venues

CoRR

INFOCOM

IEEE/ACM Trans. Netw.

IEEE Trans. Parallel Distributed Syst.

Publications

Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
Swift: Expedited Failure Recovery for Large-Scale DNN Training. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. EuroSys (2024)
Chenyu Jiang, Ye Tian, Zhen Jia, Shuai Zheng, Chuan Wu, Yida Wang
Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping. MLSys (2024)
Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. IPDPS (2024)
Xiaoxi Zhang, Haoran Xu, Longhao Zou, Jingpu Duan, Chuan Wu, Yali Xue, Zuozhou Chen, Xu Chen
Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming. INFOCOM (2024)
Chenyu Jiang, Ye Tian, Zhen Jia, Shuai Zheng, Chuan Wu, Yida Wang
Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping. CoRR (2024)
Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin
HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. CoRR (2024)
Junwei Su, Difan Zou, Chuan Wu
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks. ICLR (2024)
Ye Tian, Zhen Jia, Ziyue Luo, Yida Wang, Chuan Wu
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines. MLSys (2024)
Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline. KDD (2024)
Junwei Su, Difan Zou, Chuan Wu
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks. CoRR (2024)
Borui Wan, Mingji Han, Yiyao Sheng, Zhichao Lai, Mofan Zhang, Junda Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu
ByteCheckpoint: A Unified Checkpointing System for LLM Development. CoRR (2024)
Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. CoRR (2024)
Ye Tian, Zhen Jia, Ziyue Luo, Yida Wang, Chuan Wu
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines. CoRR (2024)
Junwei Su, Lingjun Mao, Chuan Wu
BG-HGNN: Toward Scalable and Efficient Heterogeneous Graph Neural Network. CoRR (2024)
Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin
Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. INFOCOM (2024)
Junwei Su, Difan Zou, Chuan Wu
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems. CoRR (2024)
Tianyu Zeng, Xiaoxi Zhang, Jingpu Duan, Chao Yu, Chuan Wu, Xu Chen
An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 35 (5) (2024)
Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin
HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. EuroSys (2024)
Chenyu Jiang, Zhen Jia, Shuai Zheng, Yida Wang, Chuan Wu
DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines. EuroSys (2024)
Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu
Towards Robust Graph Incremental Learning on Evolving Graphs. CoRR (2024)
Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. CoRR (2024)
Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline. CoRR (2024)
Junwei Su, Chuan Wu
On the Topology Awareness and Generalization Performance of Graph Neural Networks. CoRR (2024)
Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment. IEEE Trans. Parallel Distributed Syst. 34 (4) (2023)
Ruiting Zhou, Jinlong Pang, Qin Zhang, Chuan Wu, Lei Jiao, Yi Zhong, Zongpeng Li
Online Scheduling Algorithm for Heterogeneous Distributed Machine Learning Jobs. IEEE Trans. Cloud Comput. 11 (2) (2023)
Yuchen Zhong, Guangming Sheng, Tianzuo Qin, Minjie Wang, Quan Gan, Chuan Wu
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs. CoRR (2023)
Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI (2023)
Borui Wan, Juntao Zhao, Chuan Wu
Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training. MLSys (2023)
Zhe Zhang, Ziyue Luo, Chuan Wu
Two-level Graph Caching for Expediting Distributed GNN Training. INFOCOM (2023)
Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu
Caching in Dynamic Environments: A Near-Optimal Online Learning Approach. IEEE Trans. Multim. 25 (2023)
Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment. CoRR (2023)
Yixin Bao, Yanghua Peng, Chuan Wu
Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads. IEEE/ACM Trans. Netw. 31 (2) (2023)
Shiwei Zhang, Lansong Diao, Siyu Wang, Zongyan Cao, Yiliang Gu, Chang Si, Ziji Shi, Zhen Zheng, Chuan Wu, Wei Lin
Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform. CoRR (2023)
Chenyu Jiang, Zhen Jia, Shuai Zheng, Yida Wang, Chuan Wu
DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines. CoRR (2023)
Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
Swift: Expedited Failure Recovery for Large-Scale DNN Training. PPoPP (2023)
Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu
Towards Robust Graph Incremental Learning on Evolving Graphs. ICML (2023)
Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu
SP-GNN: Learning structure and position information from graphs. Neural Networks 161 (2023)
Yuchen Zhong, Guangming Sheng, Juncheng Liu, Jinhui Yuan, Chuan Wu
SWIFT: Expedited Failure Recovery for Large-scale DNN Training. CoRR (2023)
Bingqian Du, Chuan Wu
Federated Graph Learning with Periodic Neighbour Sampling. IWQoS (2022)
Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
Accelerating large-scale distributed neural network training with SPMD parallelism. SoCC (2022)
Menglu Yu, Jia Liu, Chuan Wu, Bo Ji, Elizabeth S. Bentley
Toward Efficient Online Scheduling for Distributed Machine Learning Systems. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Xiaoyang Zhao, Chuan Wu
Large-Scale Machine Learning Cluster Scheduling via Multi-Agent Graph Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. NeurIPS (2022)
Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. INFOCOM (2022)
Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo
dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training. MLSys (2022)
Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin
Efficient Pipeline Planning for Expedited Distributed DNN Training. CoRR (2022)
Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion. CoRR (2022)
Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin
Efficient Pipeline Planning for Expedited Distributed DNN Training. INFOCOM (2022)
Le Fang, Bingqian Du, Chuan Wu
Differentially private recommender system with variational autoencoders. Knowl. Based Syst. 250 (2022)
Ziyue Luo, Yixin Bao, Chuan Wu
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration. CoRR (2022)
Ziyue Luo, Yixin Bao, Chuan Wu
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration. INFOCOM (2022)
Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo
dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training. CoRR (2022)
Le Fang, Yu Wu, Chuan Wu, Yizhou Yu
A Nonintrusive Elderly Home Monitoring System. IEEE Internet Things J. 8 (4) (2021)
Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters. IEEE Trans. Parallel Distributed Syst. 32 (8) (2021)
Jingyan Jiang, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia, Chuan Wu
Joint Model and Data Adaptation for Cloud Inference Serving. RTSS (2021)
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR (2021)
Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch. CoRR (2021)
Bingqian Du, Zhiyi Huang, Chuan Wu
Adversarial Deep Learning for Online Resource Allocation. CoRR (2021)
Bingqian Du, Zhiyi Huang, Chuan Wu
Adversarial Deep Learning for Online Resource Allocation. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6 (4) (2021)
Xiaoxi Zhang, Zhiyi Huang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
Dynamic VM Scaling: Provisioning and Pricing through an Online Auction. IEEE Trans. Cloud Comput. 9 (1) (2021)
Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
DAPPLE: a pipelined data parallel approach for training large models. PPoPP (2021)
Zhe Zhang, Chuan Wu, Zongpeng Li
Near-Optimal Topology-adaptive Parameter Synchronization in Distributed DNN Training. INFOCOM (2021)
Yixin Bao, Yanghua Peng, Yangrui Chen, Chuan Wu
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training. INFOCOM (2020)
Yangrui Chen, Yanghua Peng, Yixin Bao, Chuan Wu, Yibo Zhu, Chuanxiong Guo
Elastic parameter server load distribution in deep learning clusters. SoCC (2020)
Qihang Sun, Shaolei Ren, Chuan Wu
Fair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data Centers. IEEE Trans. Cloud Comput. 8 (1) (2020)
Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin
Fast Training of Deep Learning Models over Multiple GPUs. Middleware (2020)
Xiaoxi Zhang, Chuan Wu, Zongpeng Li, Francis C. M. Lau
A Truthful $(1-\epsilon)$(1-ε)-Optimal Mechanism for On-Demand Cloud Resource Provisioning. IEEE Trans. Cloud Comput. 8 (3) (2020)
Ziyue Luo, Chuan Wu
An Online Algorithm for VNF Service Chain Scaling in Datacenters. IEEE/ACM Trans. Netw. 28 (3) (2020)
Qin Zhang, Ruiting Zhou, Chuan Wu, Lei Jiao, Zongpeng Li
Online scheduling of heterogeneous distributed machine learning jobs. MobiHoc (2020)
Xiaoyang Zhao, Chuan Wu, Franck Le
Improving Inter-domain Routing through Multi-agent Reinforcement Learning. INFOCOM Workshops (2020)
Xiaotong Li, Ruiting Zhou, Lei Jiao, Chuan Wu, Yuhang Deng, Zongpeng Li
Online Placement and Scaling of Geo-Distributed Machine Learning Jobs via Volume-Discounting Brokerage. IEEE Trans. Parallel Distributed Syst. 31 (4) (2020)
Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin
Optimizing distributed training deployment in heterogeneous GPU clusters. CoNEXT (2020)
Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters. CoRR (2019)
Xiaodong Yi, Junjie Wang, Jingpu Duan, Wei Bai, Chuan Wu, Yongqiang Xiong, Dongsu Han
FlowShader: a Generalized Framework for GPU-accelerated VNF Flow Processing. ICNP (2019)
Jingpu Duan, Xiaodong Yi, Junjie Wang, Chuan Wu, Franck Le
NetStar: A Future/Promise Framework for Asynchronous Network Functions. IEEE J. Sel. Areas Commun. 37 (3) (2019)
Yixin Bao, Yanghua Peng, Chuan Wu
Deep Learning-based Job Placement in Distributed Machine Learning Clusters. INFOCOM (2019)
Ziyue Luo, Chuan Wu, Zongpeng Li, Wei Zhou
Scaling Geo-Distributed Network Function Chains: A Prediction and Learning Framework. IEEE J. Sel. Areas Commun. 37 (8) (2019)
Jingpu Duan, Xiaodong Yi, Shixiong Zhao, Chuan Wu, Heming Cui, Franck Le
NFVactor: A Resilient NFV System Using the Distributed Actor Model. IEEE J. Sel. Areas Commun. 37 (3) (2019)
Ruiting Zhou, Zongpeng Li, Chuan Wu
An Efficient Online Placement Scheme for Cloud Container Clusters. IEEE J. Sel. Areas Commun. 37 (5) (2019)
Yanghua Peng, Yibo Zhu, Yangrui Chen, Yixin Bao, Bairen Yi, Chang Lan, Chuan Wu, Chuanxiong Guo
A generic communication scheduler for distributed DNN training acceleration. SOSP (2019)
Bingqian Du, Chuan Wu, Zhiyi Huang
Learning Resource Allocation and Pricing for Cloud Profit Maximization. AAAI (2019)
Jin Wang, Kejie Lu, Jianping Wang, Chuan Wu, Naijie Gu
Enhancing the Anonymity in Information Diffusion Based on Obfuscated Coded Data. IEEE Trans. Netw. Sci. Eng. 6 (4) (2019)
Qihang Sun, Shaolei Ren, Chuan Wu
A Provably-Efficient Online Algorithm for Re-Utilizing Unused VM Resources for Edge Providers. ICC (2019)
Yixin Bao, Yanghua Peng, Chuan Wu, Zongpeng Li
Online Job Scheduling in Distributed Machine Learning Clusters. CoRR (2018)
Weijie Shi, Chuan Wu, Zongpeng Li
A Shapley-Value Mechanism for Bandwidth On Demand between Datacenters. IEEE Trans. Cloud Comput. 6 (1) (2018)
Jingpu Duan, Xiaodong Yi, Shixiong Zhao, Chuan Wu, Heming Cui, Franck Le
NFVactor: A Resilient NFV System using the Distributed Actor Model. CoRR (2018)
Ruiting Zhou, Zongpeng Li, Chuan Wu
An Online Emergency Demand Response Mechanism for Cloud Computing. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3 (1) (2018)
Ruiting Zhou, Zongpeng Li, Chuan Wu
A Truthful Online Mechanism for Location-Aware Tasks in Mobile Crowd Sensing. IEEE Trans. Mob. Comput. 17 (8) (2018)
Yongzheng Jia, Chuan Wu, Zongpeng Li, Franck Le, Alex X. Liu
Online Scaling of NFV Service Chains Across Geo-Distributed Datacenters. IEEE/ACM Trans. Netw. 26 (2) (2018)
Ziyue Luo, Zongpeng Li, Chuan Wu
Online Cloud Resource Allocation and Pricing with Server Speed Scaling. ICC (2018)
Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chuanxiong Guo
Optimus: an efficient dynamic resource scheduler for deep learning clusters. EuroSys (2018)
Xiaoxi Zhang, Chuan Wu, Zhiyi Huang, Zongpeng Li
Occupation-Oblivious Pricing of Cloud Jobs via Online Learning. INFOCOM (2018)
Yixin Bao, Yanghua Peng, Chuan Wu, Zongpeng Li
Online Job Scheduling in Distributed Machine Learning Clusters. INFOCOM (2018)
Ruiting Zhou, Zongpeng Li, Chuan Wu
Scheduling Frameworks for Cloud Container Services. IEEE/ACM Trans. Netw. 26 (1) (2018)
Xiaodong Yi, Jingpu Duan, Chuan Wu
GPUNFV: a GPU-Accelerated NFV System. APNet (2017)
Jingpu Duan, Chuan Wu, Franck Le, Alex X. Liu, Yanghua Peng
Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS. CoRR (2017)
Linquan Zhang, Zongpeng Li, Chuan Wu
An Auction Approach to Spectrum Management in HetNets. CoRR (2017)

Chuan Wu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chuan Wu