Dazhao Cheng
Orcid: 0000-0003-2869-7623
According to our database1,
Dazhao Cheng
authored at least 76 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Streamlining Data Transfer in Collaborative SLAM Through Bandwidth-Aware Map Distillation.
IEEE Trans. Mob. Comput., August, 2025
IEEE Trans. Parallel Distributed Syst., July, 2025
PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness.
IEEE Trans. Mob. Comput., May, 2025
OWL: Worker-assisted server bandwidth optimization for efficient communication federated learning.
J. Parallel Distributed Comput., 2025
GVA: general content-aware feature map reusing structure for edge-side video analytics.
J. Electronic Imaging, 2025
Priva: privacy reversible and intelligible video analytics system through diffusion restoration models.
J. Electronic Imaging, 2025
Toward Lifelong Unseen Task Processing With a Lightweight Unlabeled Data Schema for AIoT.
IEEE Internet Things J., 2025
Intelligent Welding System for Aluminum Coils by Adaptive Path Planning with Real-world Dataset.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Voltrix: Sparse Matrix-Matrix Multiplication on Tensor Cores with Asynchronous and Balanced Kernel Optimization.
Proceedings of the 2025 USENIX Annual Technical Conference, 2025
Harnessing Inter-GPU Shared Memory for Seamless MoE Communication-Computation Fusion.
Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025
Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
Understanding the Challenges Students Face in Non-English Programming Environments Due to the Programming Language Transition: A Case Study of Keywords in the Chinese Version of Scratch.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
2024
QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices.
IEEE Trans. Mob. Comput., December, 2024
IEEE Trans. Mob. Comput., December, 2024
IEEE Trans. Parallel Distributed Syst., November, 2024
Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism.
IEEE Trans. Parallel Distributed Syst., November, 2024
Opca: Enabling Optimistic Concurrent Access for Multiple Users in Oblivious Data Storage.
IEEE Trans. Parallel Distributed Syst., November, 2024
Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning With Real-World Dataset.
IEEE Trans. Ind. Informatics, August, 2024
Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences.
IEEE Trans. Computers, July, 2024
Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing.
IEEE Trans. Computers, July, 2024
MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism.
IEEE Trans. Parallel Distributed Syst., June, 2024
SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing.
IEEE Trans. Parallel Distributed Syst., June, 2024
A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications.
IEEE Trans. Big Data, April, 2024
J. Parallel Distributed Comput., April, 2024
Locality-Aware and Fault-Tolerant Batching for Machine Learning on Distributed Datasets.
IEEE Trans. Cloud Comput., 2024
Corrections to "DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning".
IEEE Trans. Cloud Comput., 2024
Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024
MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators.
Proceedings of the International Conference for High Performance Computing, 2024
Scaling New Heights: Transformative Cross-GPU Sampling for Training Billion-Edge Graphs.
Proceedings of the International Conference for High Performance Computing, 2024
Accelerating Distributed DLRM Training with Optimized TT Decomposition and Micro-Batching.
Proceedings of the International Conference for High Performance Computing, 2024
JediGAN: A Fully Decentralized Training of GAN with Adaptive Discriminator Averaging and Generator Selection.
Proceedings of the Network and Parallel Computing, 2024
Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile Devices.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024
2023
IEEE Trans. Computers, December, 2023
TAPU: A Transmission-Analytics Processing Unit for Accelerating Multifunctions in IoT Gateways.
IEEE Internet Things J., October, 2023
Joint Optimization Across Timescales: Resource Placement and Task Dispatching in Edge Clouds.
IEEE Trans. Cloud Comput., 2023
IEEE Trans. Cloud Comput., 2023
IEEE Trans. Cloud Comput., 2023
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
2022
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers.
IEEE Trans. Cloud Comput., 2022
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.
CoRR, 2022
Proceedings of the 51st International Conference on Parallel Processing, 2022
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
IEEE Trans. Netw. Sci. Eng., 2021
Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Proceedings of the 2020 Workshop on Network Application Integration/CoDesign, 2020
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
Proceedings of the IEEE International Conference on Cluster Computing, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
IEEE Trans. Parallel Distributed Syst., 2019
IEEE Trans. Parallel Distributed Syst., 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IEEE Trans. Parallel Distributed Syst., 2018
IEEE Trans. Parallel Distributed Syst., 2018
Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds.
Proceedings of the 47th International Conference on Parallel Processing, 2018
Proceedings of the 47th International Conference on Parallel Processing, 2018
2017
IEEE Trans. Parallel Distributed Syst., 2017
IEEE Trans. Parallel Distributed Syst., 2017
IEEE Trans. Computers, 2017
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
2016
Elastic Power-Aware Resource Provisioning of Heterogeneous Workloads in Self-Sustainable Datacenters.
IEEE Trans. Computers, 2016
2015
Self-Tuning Batching with DVFS for Performance Improvement and Energy Efficiency in Internet Servers.
ACM Trans. Auton. Adapt. Syst., 2015
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
StoreApp: A shared storage appliance for efficient and scalable virtualized Hadoop clusters.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015
2014
Improving MapReduce performance in heterogeneous environments with adaptive task tuning.
Proceedings of the 15th International Middleware Conference, 2014
Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
2013
Self-Tuning Batching with DVFS for Improving Performance and Energy Efficiency in Servers.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013