Xiangyu Zou
Orcid: 0000-0002-2993-9498
According to our database1,
Xiangyu Zou
authored at least 36 papers
between 2017 and 2024.
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Bibliography
2024
The Design of a Lossless Deduplication Scheme to Eliminate Fine-Grained Redundancy for JPEG Image Storage Systems.
IEEE Trans. Computers, May, 2024
FedComp: A Federated Learning Compression Framework for Resource-Constrained Edge Computing Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024
2023
Smart-DNN+: A Memory-efficient Neural Networks Compression Framework for the Model Inference.
ACM Trans. Archit. Code Optim., December, 2023
The Design of Fast and Lightweight Resemblance Detection for Efficient Post-Deduplication Delta Compression.
ACM Trans. Storage, August, 2023
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst., March, 2023
Deep Learning for Secure Transmission in Reconfigurable Intelligent Surface-Assisted Communications.
J. Commun. Inf. Networks, March, 2023
Light-Dedup: A Light-weight Inline Deduplication Framework for Non-Volatile Memory File Systems.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023
BIRD: A Lightweight and Adaptive Compressor for Communication-Efficient Distributed Learning Using Tensor-wise Bi-Random Sampling.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023
HUNTER: Releasing Persistent Memory Write Performance with A Novel PM-DRAM Collaboration Architecture.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
NetSync: A Network Adaptive and Deduplication-Inspired Delta Synchronization Approach for Cloud Storage Services.
IEEE Trans. Parallel Distributed Syst., 2022
From Hyper-dimensional Structures to Linear Structures: Maintaining Deduplicated Data's Locality.
ACM Trans. Storage, 2022
Multimodal Pedestrian Trajectory Prediction Based on Relative Interactive Spatial-Temporal Graph.
IEEE Access, 2022
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Building a High-performance Fine-grained Deduplication Framework for Backup Storage with High Deduplication Ratio.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
imDedup: A Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
A Focused Garbage Collection Approach for Primary Deduplicated Storage with Low Memory Overhead.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
SuperCDC: A Hybrid Design of High-Performance Content-Defined Chunking for Fast Deduplication.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Mob. Inf. Syst., 2021
Odess: Speeding up Resemblance Detection for Redundancy Elimination by Fast Content-Defined Sampling.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
QD-Compressor: a Quantization-based Delta Compression Framework for Deep Neural Networks.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021
2020
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst., 2020
The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems.
IEEE Trans. Parallel Distributed Syst., 2020
Multi-Modal Pedestrian Trajectory Prediction for Edge Agents Based on Spatial-Temporal Graph.
IEEE Access, 2020
Proceedings of the Mobile Computing, Applications, and Services, 2020
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing, 2020
Secure Transmission for Intelligent Reflecting Surface Assisted Communication with Deep Learning.
Proceedings of the IEEE Globecom Workshops, 2020
Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
2019
Accelerating content-defined-chunking based data deduplication by exploiting parallelism.
Future Gener. Comput. Syst., 2019
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.
Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2017
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017