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个人简介

邹翔宇,哈尔滨工业大学(深圳)计算机科学与技术学院助理教授。主要从事存储系统、有损压缩、数据库等方向研究,在国内外学术期刊和会议发表论文20余篇,包括FAST、USENIX ATC、TPDS、TOS等存储领域顶会顶刊。担任IEEE/ACM Trans系列多个刊物审稿人。 研究成果一方面应用于阿贡国家实验室主导的开源项目SZ compressor(该项目作为重要的I/O组件运行在阿贡国家实验室的超算集群上,且于2021年获R&D 100 Awards),并合入其2.1版本,且被评价为“Significantly improve the compression speed”;另一方面应用于多个华为合作项目,并获华为云技术创新大赛奖。 曾获2023年ACM ChinaSys优秀博士论文奖、2021年博士研究生国家奖学金、2019年中国计算机学会存储专委会优秀论文奖、2020和2022年哈工大计算学部学生优秀论文奖、2023年哈尔滨工业大学优秀博士论文提名奖等荣誉。

研究领域

数据库,存储系统,有损压缩

近期论文

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Yanqi Pan, Yifeng Zhang, Wen Xia, Xiangyu Zou and Cai Deng. "HUNTER: Releasing Persistent Memory Write Performance with A Novel PM-DRAM Collaboration Architecture", in Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC, CCF-A), San Francisco, CA, USA, Jun. 2023. Wenkai Liang, Hao Hu, Xiangyu Zou, Wen Xia and Yanqi Pan. "DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory", in Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC, CCF-A), San Francisco, CA, USA, Jun. 2023. Wen Xia, Lifeng Pu, Xiangyu Zou*, Philip Shilane, Shiyi Li, Haijun Zhang, and Xuan Wang. "The Design of Fast and Lightweight Resemblance Detection for Efficient Post-Deduplication Delta Compression", ACM Transactions on Storage (TOS, CCF-A), in press. Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, and Wen Xia, "Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning", IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF-A), vol. 34, no. 3, pp. 923-937, Jan. 2023. Jingsong Yuan, Xiangyu Zou, Han Xu, Zhichao Cao, Shiyi Li, Wen Xia, Peng Wang and Li Chen, "A Focused Garbage Collection Approach for Primary Deduplicated Storage with Low Memory Overhead", in Proceedings of the 40th IEEE International Conference on Computer Design (ICCD, CCF-B), Lake Tahoe, USA, Otc. 2022. Binzhaoshuo Wan, Lifeng Pu, Xiangyu Zou, Shiyi Li, Wen Xia and Peng Wang, "SuperCDC: A Hybrid Design of High-performance Content-Defined Chunking for Fast Deduplication", in Proceedings of the 40th IEEE International Conference on Computer Design (ICCD, CCF-B), Lake Tahoe, USA, Otc. 2022. Xiangyu Zou, Wen Xia, Philip Shilane, Haijun Zhang and Xuan Wang, "Building a High-performance Fine-grained Deduplication Framework for Backup Storage with High Deduplication Ratio", in Proceedings of the 2022 USENIX Annual Technical Conference (USENIX ATC'22, CCF-A), Carlsbad, CA, USA, Jul. 2022. Wen Xia, Can Wei, Zhenhua Li, Xuan Wang, and Xiangyu Zou, "NetSync: a Network Adaptive and Deduplication-Inspired Delta Synchronization Approach for Cloud Storage Services", IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF-A), vol. 33, no. 19, pp. 2554-2570, Oct. 2022. Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia, Haijun Zhang, and Xuan Wang, "From Hyper-Dimensional Structure to Linear Structure: Maintaining Deduplicated Data's Locality", ACM Transactions on Storage (TOS, CCF-A), vol. 18(3), no. 25, pp.1-28, Aug. 2022. Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, and Binxing Fang "SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures" in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI '22, CCF-A), Vancouver, Canada, Feb. 2022. Cai Deng, Qi Chen, Xiangyu Zou, Eric Xu, Bo Tang and Wen Xia, "imDedup: a Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images," in Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE '22, CCF-A), Kuala Lumpur, Malaysia, May. 2022. Shuyu Zhang, Donglei Wu, Haoyu Jin, Xiangyu Zou, Wen Xia and Xiaojia Huang, "QD-Compressor: a Quantization-based Delta Compression Framework for Deep Neural Networks," in Proceedings of the 39th IEEE International Conference on Computer Design (ICCD '21, CCF-B), Oct. 2021. Zhenbo Hu, Xiangyu Zou, Wen Xia, Yuhong Zhao, Weizhe Zhang and Donglei Wu, "Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms," in Proceedings of the 39th IEEE International Conference on Computer Design (ICCD '21, CCF-B), Oct. 2021. Xiangyu Zou, Cai Deng, Wen Xia, Philip Shilane, Haoliang Tan, Haijun Zhang, and Xuan Wang, "Odess: Speeding up Resemblance Detection for Redundancy Elimination by Fast Content-Defined Sampling," in Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE '21, CCF-A), Chania, Greece, Apr. 2021. Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia, Haijun Zhang, and Xuan Wang, "The Dilemma between Deduplication and Locality: Can Both be Achieved?," in Proceedings of the 19th USENIX Conference on File and Storage Technologies (FAST '21, CCF-A), Santa Clara, CA, USA, Feb. 2021. Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, and Wen Xia, "Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio," in Proceedings of IEEE International Conference on Cluster Computing (Cluster '20, CCF-B), Kobe, Japan, Sep. 2020. Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang, "Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity," in Proceedings of 49th International Conference on Parallel Processing (ICPP '20, CCF-B), Edmonton, AB, Canada, Aug. 2020. Lingfeng Xiang, Yuan He, Wen Xia, Hong Jiang, Zhenhua Li, Xuan Wang, and Xiangyu Zou, "Dsync: a Lightweight Delta Synchronization Approach for Cloud Storage Services," in Proceedings of the 36th International Conference on Massive Storage Systems and Technology (MSST '20, CCF-B), Santa Clara, CA, USA, Oct. 2020. Tao Lu, Wen Xia, Xiangyu Zou, and Qianbin Xia, "Adaptively Compressing IoT Data on the Resource-constrained Edge," in Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge '20), Boston, MA, USA, Jul. 2020. Wen Xia, Xiangyu Zou, Yukun Zhou, Hong Jiang, Chuanyi Liu, Dan Feng, Yu Hua, Yuchong Hu, and Yucheng Zhang, "The Design of Fast Content-Defined Chunking for Data Deduplication based Storage Systems," IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF-A), vol. 31, no. 9, pp. 2017-2031, Sept. 2020. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao and Franck Cappello, "Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data," IEEE Transactions on Parallel and Distributed Systems (TPDS, CCF-A), vol.31, no.7, pp.1665-1680, Jul. 2020. Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang and Qing Liao, "Accelerating Lossy Compression on HPC datasets via Partitioning Computation for Parallel Processing," in Proceedings of the 21st IEEE International Conference on High Performance Computing and Communication (HPCC '19, CCF-C), Zhangjiajie, China, August. 2019. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao and Franck Cappello, "Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms," in Proceedings of the 35th International Conference on Massive Storage Systems and Technology (MSST '19, CCF-B), Santa Clara, CA, USA, May. 2019. Wen Xia, Dan Feng, Hong Jiang, Yucheng Zhang, Victor Chang and Xiangyu Zou "Accelerating Content-Defined-Chunking based Data Deduplication by Exploiting Parallelism," Future Generation Computer Systems (FGCS, CCF-C), Vol.98:406-418, 2019.

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