Wei Wang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 93

Top Venues

Publications

Mingzhe Li, Wei Wang, Jin Zhang
Towards Efficient and Deposit-Free Blockchain-Based Spatial Crowdsourcing. ACM Trans. Sens. Networks 20 (3) (2024)
Ruibo Fan, Wei Wang, Xiaowen Chu
DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores. ASPLOS (3) (2024)
Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR (2024)
Mingzhe Li, You Lin, Wei Wang, Jin Zhang
SP-Chain: Boosting Intra-Shard and Cross-Shard Security and Performance in Blockchain Sharding. CoRR (2024)
Zhifeng Jiang, Wei Wang, Ruichuan Chen
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy. EuroSys (2024)
Suyi Li, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Zhipeng Di, Weiyi Lu, Jiawei Chen, Kan Liu, Yinghao Yu, Tao Lan, Guodong Yang, Lin Qu, Liping Zhang, Wei Wang
SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules. CoRR (2024)
Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang
Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively. IEEE Trans. Parallel Distributed Syst. 35 (7) (2024)
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. CoRR (2024)
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. USENIX Security Symposium (2024)
Mingzhe Li, Wei Wang, Jin Zhang
LB-Chain: Load-Balanced and Low-Latency Blockchain Sharding via Account Migration. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS (2023)
Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping. CoRR (2023)
Mingzhe Li, You Lin, Jin Zhang, Wei Wang
CoChain: High Concurrency Blockchain Sharding via Consensus on Consensus. INFOCOM (2023)
Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. Proc. VLDB Endow. 16 (10) (2023)
Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR (2023)
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing. NSDI (2023)
Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang
GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning. IEEE J. Sel. Areas Commun. 41 (4) (2023)
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Trans. Cloud Comput. 11 (1) (2023)
Jun Li, Wei Song, Yongbin Gao, Huixing Wang, Yier Yan, Bo Huang, Jun Zhang, Wei Wang
Monocular 3-D Object Detection Based on Depth-Guided Local Convolution for Smart Payment in D2D Systems. IEEE Internet Things J. 10 (3) (2023)
Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data 9 (2) (2023)
Ruibo Fan, Wei Wang, Xiaowen Chu
Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks. IPDPS (2023)
Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. CoRR (2023)
Qizhen Weng, Lingyun Yang, Yinghao Yu, Wei Wang, Xiaochuan Tang, Guodong Yang, Liping Zhang
Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent. USENIX Annual Technical Conference (2023)
Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning. IEEE Trans. Cloud Comput. 11 (3) (2023)
Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang
Editorial: Advances in Mobile, Edge and Cloud Computing. Mob. Networks Appl. 27 (1) (2022)
Huangxun Chen, Yukai Miao, Li Chen, Haifeng Sun, Hong Xu, Libin Liu, Gong Zhang, Wei Wang
Software-defined network assimilation: bridging the last mile towards centralized network configuration management with NAssim. SIGCOMM (2022)
Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning. CoRR (2022)
Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
Pisces: Efficient Federated Learning via Guided Asynchronous Training. CoRR (2022)
Zhifeng Jiang, Wei Wang, Ruichuan Chen
Taming Client Dropout for Distributed Differential Privacy in Federated Learning. CoRR (2022)
Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning. CoRR (2022)
Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang
Workload consolidation in alibaba clusters: the good, the bad, and the ugly. SoCC (2022)
Yinghao Yu, Chengliang Zhang, Wei Wang, Jun Zhang, Khaled Ben Letaief
Towards Dependency-Aware Cache Management for Data Analytics Applications. IEEE Trans. Cloud Comput. 10 (1) (2022)
Mingzhe Li, You Li, Jin Zhang, Wei Wang
Jenga: Orchestrating Smart Contracts in Sharding-Based Blockchain for Efficient Processing. ICDCS (2022)
Mingzhe Li, Wei Wang, Jin Zhang, Qian Zhang
Incentivizing WiFi-Based Multilateration Location Verification. IEEE Internet Things J. 9 (4) (2022)
Da Yan, Wei Wang, Xiaowen Chu
An LLVM-based open-source compiler for NVIDIA GPUs. PPoPP (2022)
Huangshi Tian, Suyi Li, Ao Wang, Wei Wang, Tianlong Wu, Haoran Yang
Owl: performance-aware scheduling for resource-efficient function-as-a-service cloud. SoCC (2022)
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. IEEE Trans. Cloud Comput. 10 (3) (2022)
Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. NSDI (2022)
Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li
Pisces: efficient federated learning via guided asynchronous training. SoCC (2022)
Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang
Communication-Efficient Federated Learning with Adaptive Parameter Freezing. ICDCS (2021)
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
Restructuring Serverless Computing with Data-Centric Function Orchestration. CoRR (2021)
Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning. SoCC (2021)
Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, Liping Zhang
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. SoCC (2021)
Suyi Li, Luping Wang, Wei Wang, Yinghao Yu, Bo Li
George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints. SoCC (2021)
Da Yan, Wei Wang, Xiaowen Chu
Simplifying low-level GPU programming with GAS. PPoPP (2021)
Zhifeng Jiang, Wei Wang, Yang Liu
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning. CoRR (2021)
Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning. ICDCS (2021)
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. 35 (3) (2021)
Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX. CoRR (2021)
Huangshi Tian, Minchen Yu, Wei Wang
CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis. USENIX Annual Technical Conference (2021)
Mingzhe Li, Jingrou Wu, Wei Wang, Jin Zhang
Toward Privacy-Preserving Task Assignment for Fully Distributed Spatial Crowdsourcing. IEEE Internet Things J. 8 (18) (2021)
Zhifeng Jiang, Wei Wang
System Optimization in Synchronous Federated Training: A Survey. CoRR (2021)
Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan
Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. IPDPS (2020)
Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen
Learning to Detect Malicious Clients for Robust Federated Learning. CoRR (2020)
Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR (2020)
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. SoCC (2020)
Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu
BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX Annual Technical Conference (2020)
Da Yan, Wei Wang, Xiaowen Chu
Optimizing batched Winograd convolution on GPUs. PPoPP (2020)
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR (2020)
Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang
RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data. INFOCOM (2020)
Da Yan, Wei Wang, Xiaowen Chu
Demystifying Tensor Cores to Optimize Half-Precision Matrix Multiply. IPDPS (2020)
Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li
Metis: learning to schedule long-running applications in shared container clusters at scale. SC (2020)
Yinghao Yu, Wei Wang, Renfei Huang, Jun Zhang, Khaled Ben Letaief
Achieving Load-Balanced, Redundancy-Free Cluster Caching with Selective Partition. IEEE Trans. Parallel Distributed Syst. 31 (2) (2020)
Huangshi Tian, Yunchuan Zheng, Wei Wang
Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud. SoCC (2019)
Chen Chen, Wei Wang, Bo Li
Round-Robin Synchronization: Mitigating Communication Bottlenecks in Parameter Servers. INFOCOM (2019)
Luping Wang, Wei Wang, Bo Li
CMFL: Mitigating Communication Overhead for Federated Learning. ICDCS (2019)
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
LACS: Load-Aware Cache Sharing with Isolation Guarantee. ICDCS (2019)
Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen
Abnormal Client Behavior Detection in Federated Learning. CoRR (2019)
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. USENIX Annual Technical Conference (2019)
Huangshi Tian, Yunchuan Zheng, Wei Wang
Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud. SoCC (2019)
Huangshi Tian, Qizhen Weng, Wei Wang
Towards Framework-Independent, Non-Intrusive Performance Characterization for Dataflow Computation. APSys (2019)
Yinghao Yu, Wei Wang, Jun Zhang, Qizhen Weng, Khaled Ben Letaief
OpuS: Fair and Efficient Cache Sharing for In-Memory Data Analytics. ICDCS (2018)
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. CoRR (2018)
Yuechen Tao, Jingjie Jiang, Shiyao Ma, Luping Wang, Wei Wang, Bo Li
Unraveling the RTT-fairness Problem for BBR: A Queueing Model. GLOBECOM (2018)
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. SoCC (2018)
Luping Wang, Wei Wang
Fair Coflow Scheduling without Prior Knowledge. ICDCS (2018)
Yinghao Yu, Renfei Huang, Wei Wang, Jun Zhang, Khaled Ben Letaief
SP-cache: load-balanced, redundancy-free cluster caching with selective partition. SC (2018)
Luping Wang, Wei Wang, Bo Li
Utopia: Near-optimal Coflow Scheduling with Isolation Guarantee. INFOCOM (2018)
Chen Chen, Wei Wang, Bo Li
Performance-Aware Fair Scheduling: Exploiting Demand Elasticity of Data Analytics Jobs. INFOCOM (2018)
Chengliang Zhang, Huangshi Tian, Wei Wang, Feng Yan
Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning. ICDCS (2018)
Huangshi Tian, Minchen Yu, Wei Wang
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning. SoCC (2018)
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
LERC: Coordinated Cache Management for Data-Parallel Systems. GLOBECOM (2017)
Chen Chen, Wei Wang, Bo Li
Speculative Slot Reservation: Enforcing Service Isolation for Dependent Data-Parallel Computations. ICDCS (2017)
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
LRC: Dependency-aware cache management for data analytics clusters. INFOCOM (2017)
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
LRC: Dependency-Aware Cache Management for Data Analytics Clusters. CoRR (2017)
Luping Wang, Wei Wang, Bo Li
Towards Online Checkpointing Mechanism for Cloud Transient Servers. GLOBECOM (2017)
Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief
LERC: Coordinated Cache Management for Data-Parallel Systems. CoRR (2017)
Chen Chen, Wei Wang, Shengkai Zhang, Bo Li
Cluster fair queueing: Speeding up data-parallel jobs with delay guarantees. INFOCOM (2017)
Wei Wang, Shiyao Ma, Bo Li, Baochun Li
Coflex: Navigating the fairness-efficiency tradeoff for coflow scheduling. INFOCOM (2017)
Shiyao Ma, Jingjie Jiang, Wei Wang, Bo Li
Towards RTT Fairness of Congestion-Based Congestion Control. CoRR (2017)
Wei Wang, A-Long Jin
Friends or foes: Revisiting strategy-proofness in cloud network sharing. ICNP (2016)
Wei Wang, Baochun Li, Ben Liang, Jun Li
Towards Multi-Resource Fair Allocation with Placement Constraints. SIGMETRICS (2016)
Wei Wang, Baochun Li, Ben Liang, Jun Li
Multi-resource fair sharing for datacenter jobs with placement constraints. SC (2016)
Wei Wang, Di Niu, Ben Liang, Baochun Li
Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage. IEEE Trans. Parallel Distributed Syst. 26 (6) (2015)
Wei Wang, Ben Liang, Baochun Li
Optimal Online Multi-Instance Acquisition in IaaS Clouds. IEEE Trans. Parallel Distributed Syst. 26 (12) (2015)
Wei Wang, Linlin Yang, Qing Liao, Xiang Zhu, Qian Zhang
TiSA: Time-dependent social network advertising. ICC (2015)
Wei Wang, Ben Liang, Baochun Li
Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems. IEEE Trans. Parallel Distributed Syst. 26 (10) (2015)
Wei Wang, Qian Zhang
Toward long-term quality of protection in mobile networks: a context-aware perspective. IEEE Wirel. Commun. 22 (4) (2015)
Wei Wang, Ben Liang, Baochun Li
Designing Truthful Spectrum Double Auctions with Local Markets. IEEE Trans. Mob. Comput. 13 (1) (2014)
Wei Wang, Baochun Li, Ben Liang
Dominant resource fairness in cloud computing systems with heterogeneous servers. INFOCOM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wei Wang