1基本信息

姓 名： 谭玉娟

性 别： 女

职 称： 教授(博导、硕导)

办公地点：重庆大学虎溪校区信息技术科研楼B518

E-mail：tanyujuan@cqu.edu.cn

研究方向：先进计算机系统结构、操作系统、智能计算与存储

招生信息：招收硕士生、博士生，欢迎来自计算机、软件、人工智能、电子及自动化等专业以及对科研有浓厚兴趣和热情的考生报考。

2个人简介：

重庆大学，教授，博士生导师，毕业于华中科技大学信息存储系统教育部重点实验室&武汉光电国家研究中心存储研究部。长期围绕国家战略及相关产业技术需求，开展先进计算机体系结构、操作系统、智能计算与存储等领域的研究，已经与多家知名企业和单位建立起长期合作关系，相关成果获得重庆市科技进步一等奖。承担创新特区重点项目、一般项目、国家自然科学基金面上项目、青年项目、教育部博士点基金、重庆市科技攻关重点项目、重庆市科委前沿与基础研究面上项目、重庆市自然科学基金、企业横向等项目，科研经费充足。

3学术论文

会议论文
[DAC’23] L. Li, X. Chen, J. Li, J. Wang, D. Liu, Y. Tan, A. Ren, “Optimizing the Performance ofNDP Operations by Retrieving File Semantics in Storage”, in Proc. of Design Automation Conference,2023.

[DAC’23] A. Ren, Y. Wang, T. Zhang, J. Shi, D. Liu, X. Chen, Y. Tan, Y. Xie, “HBP: Hierarchically Balanced Pruning and Accelerator Co-Design for Efficient DNN Inference”, in Proc. of DesignAutomation Conference, 2023.

[ICPP’23] J. Li, X. Chen, D. Liu, A. Ren, Z. Zeng, Y. Tan, “RadarSSD: A Computational Storagefor Radar Signal Processing”, in Proc. of the 52nd International Conference on Parallel Processing,2023.

[DAC’22] Y. Tan, W. Chen, Z. Ma, Z. Yan, D. Liu, X. Chen, “SAPredictor: A Simple and Accurate Self-adaptive Predictor for Hierachical Hybrid Memory System”, in Proc. of Design AutomationConference (DAC 2022), 2022.

[DATE’22] Y. Tan, Y. Xie, Z. Ma, Z. Yan, D. Liu, X. Chen, “GATLB: A Granularity-Aware TLBto Support Multi-Granularity Pages in Hybrid Memory System”, in Proc. of Design, Automation, andTest in Europe(DATE 2022), 2022.

[ICCD’22] X. Li, A. Ren, Y. Tan, X. Li, Z. Huang, C. Wang, X. Chen, D. Liu, “VEA: An FPGABased Voxel Encoding Accelerator for 3D Object Detection with LiDAR”, in Proc. of the 40th IEEEInternational Conference on Computer, 2022.

[ICCD’20] Z. Ma, Y. Tan, H. Jiang, Z. Yan, D. Liu, X. Chen, Q. Zhuge and E. Sha,“Unified-TP: AUnified TLB and Page Table Cache Structure for Efficient Address Translation”, in Proc. of the 38thIEEE International Conference on Computer Design, 2020.

[IPDPS’20] R. Liu, X. Chen, Y. Tan, R. Zhang, L. Liang, D. Liu,“SSDKeeper: Self-Adapting Channel Allocation to Improve the Performance of SSD Devices”, in Proc. of International Parallel andDistributed Processing Symposium, 2020.

[DAC’20] R. Zhang, D. Liu*, X. Chen, X. She, C. Yang, Y. Tan, Z. Shen, Z. Shao,“LOFFS: A LowOverhead File System for Large Flash Memory on Embedded Devices”, in Proc. of Design AutomationConference, 2020.

[MSST’19] Y. Tan, J. Xie, C. Xu, Z. Yan, H. Jiang, Y. Zhao, M. Fu, X. Chen, D. Liu and W.Xia,“CDAC: Content-Driven Deduplication-Aware Storage Cache”, in Proc. of the 35rd International Conferenceon Massive Storage Systems and Technology, 2019.

[DAC’19] Y. Xu, H. Lee, Y. Tan, Y. Wu, X. Chen, L. Liang, L. Qiao, D. Liu,“Tumbler: Energy Efficient Task Scheduling for Dual-Channel Solar-Powered Sensor Nodes”, in Proc. of Design AutomationConference, 2019.

[ICCD’19] J. Ren, X. Chen, Y. Tan, D. Liu, M. Duan, L. Liang, L. Qiao,“Archivist: A MachineLearning Assisted Data Placement Mechanism for Hybrid Storage Systems”, in Proc. of the 37thIEEE International Conference on Computer Design, 2019.

[IPDPS’19] Z. Yan, H. Jiang, Y. Tan, S. Seklton, H. Luo,“Z-Dedup:A Case for Deduplicating Compressed Contents in Cloud”, in Proc. of the 33th IEEE International Parallel & Distributed ProcessingSymposium, 2019.

[ICCD’19] M. Duan, D. Liu, X. Chen, Y. Tan, J. Ren, L. Qiao, L. Liang,“Astraea: Self-BalancingFederated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications”, inProc. of the 37th IEEE International Conference on Computer Design, 2019.

[MSST’19] Z. Yan, H. Jiang, Y. Tan, S. Jiang, H. Luo,“SES-Dedup: a Case for Low-Cost ECC-basedSSD”, in Proc. of the 35rd International Conference on Massive Storage Systems and Technology, 2019.

[DATE’19] C. Yang, D. Liu, X. Chen, R. Zhang, W. Wang, M. Duan, Y. Tan,“Reducing WriteAmplification for Inodes of Journaling File System using Persistent Memory”, in Proc. of Design,Automation, and Test in Europe, 2019.

[ICPP’18] Z. Yan, H. Jiang, W. Srisa-an, Sharad C. Seth, Y. Tan,“Leverage Redundancy in HardwareTransactional Memory to Improve Cache Reliability”, in Proc. of the 47th International Conferenceon Parallel Processing, 2018.

[MSST’17] Y. Tan, J. Wen, Z. Yan, H. Jiang; S. Witawas, B. Wang, H. Luo,“FGDEFRAG: AFine-Grained Defragmentation Approach to Improve Restore Performance”, in Proc. of the 33rd International Conference on Massive Storage Systems and Technology, 2017.

[Hotstorage’16] Z. Yan, H. Jiang,Y. Tan, H. Luo,“Deduplicating Compressed Contents in CloudStorage Environment”, in Proc. of the 8th ACM Workshop on Hot Topics in Storage and Filesystems,2016.

[FAST’15] M., D. Feng, Y. Hua, X. He, Z. Chen, W. Xia, Y. Zhang,Y. Tan,“Design Tradeoffs forData Deduplication Performance in Backup Workloads”, in Proc. of the 13th USENIX Conference onFile and Storage Technologies, 2015.

[IPDPS’12] Z. Yan, H. Jiang, D. Feng, L. Tian, Y. Tan,“SUV: A Novel Single-Update VersionManagement Scheme for Hardware Transactional Memory Systems”, in Proc. of the 26th IEEE International Parallel & Distributed Processing Symposium, 2012.

[IPDPS’11] Y. Tan, H. Jiang, D. Feng, L. Tian, Z. Yan,“SUV:CABdedupe: A Causality-Based Deduplication Performance Booster for Cloud Backup Services”, in Proc. of the 25th IEEE InternationalParallel & Distributed Processing Symposium, 2011.

[ICPP’10] Y. Tan, H. Jiang, D. Feng, L. Tian, Z. Yan,G. Zhou,“SAM: A Semantic-Aware Multitiered Source De-duplication Framework for Cloud Backup”, in Proc. of the 39th International Conference on Parallel Processing, 2010.Selected Journal Papers.

期刊论文

[TPDS’23] Y. Zhang, D. Liu, M. Duan, L. Li, X. Chen, A. Ren, Y. Tan, C. Wang, “FedMDS: AnEfficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework”, inIEEE Transactions on Parallel Distributed System, 2023.

[IOT’23] Y. Wu, D. Liu, Y. Tan, M. Duan, L. Luo, W. Wang, X. Chen, “LFPR: A Lazy FastPredictive Repair Strategy for Mobile Distributed Erasure Coded Cluster”, in IEEE Internet ThingsJournal, 2023.

[JSA’22] W. Wang, Y. Tan, C. Wu, D. Liu, Y. Wu, L. Luo, X. Chen, “Towards highly-concurrentleaderless state machine replication for distributed systems”, in Journal of Systems Architecture, 2022.

[TCAD’22] R. Liu, D. Liu, X. Chen, Y. Tan, R. Zhang, L. Liang, “Self-Adapting Channel Allocationfor Multiple Tenants Sharing SSD Devices”, in IEEE Transactions on Computer-Aided Design ofIntegrated Circuits and Systems, 2022.

[TCAD’22] X. Ding, C. Wang, H. Liu, Z. Zhang, X. Chen, Y. Tan, D. Liu, A. Ren, “FRL: Fast andReconfigurable Accelerator for Distributed Sound Source”, in IEEE Transactions on Computer-AidedDesign of Integrated Circuits and Systems, 2022.

[JNCA’22] Q. Zou, Y. Zhu, Y. Tan, W. Chen, “Diagnosing the coexistence of Poissonity and selfsimilarity in memory workloads”, in Journal of Network and Computer Applications,2022

[TC’22] R. Zhang, D. Liu, X. Chen, X. She, C. Yang, Y. Tan, Z. Shen, Z. Shao, L. Qiao, “ELOFS:An Extensible Low-Overhead Flash File System for Resource-Scarce Embedded Devices”, in IEEETransactions on Computers, 2022.

[FGCS’22] Q. Zou, Y. Zhu, Y. Tan, Y. Deng, W. Chen, “Temporal characterization of memory accessbehaviors in SPEC CPU2017 workloads: Analysis and synthesis”, in Future Generation ComputerSystems, 2022.

[TCAD’22] J. Feng, X. Chen, D. Liu, W. Zhang, J. Wang, R. Zheng, Y. Tan, “eRDAC: Efficientand Reliable Remote Direct Access and Control for Embedded Systems”, in IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems, 2022.

[TCAD’22] J. Li, X. Chen, D. Liu, L. Li, J. Wang, Z. Zeng, Y. Tan, L. Qiao, “Horae: A HybridI/O Request Scheduling Technique for Near-Data Processing-Based SSD”, in IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems, 2022.

[TCAD’22] R. Zheng, X. Chen, D. Liu, J. Feng, J. Wang, A. Ren, C. Wang, Y. Tan, “SENTunnel:Fast Path for Sensor Data Access on Automotive Embedded Systems”, in IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems, 2022.

[NN’22] L. Li, D. Liu, M. Duan, Y. Zhang, A. Ren, X. Chen, Y. Tan, C. Wang, “Federated learningwith workload-aware client scheduling in heterogeneous systems”, in Neural Networks, 2022.

[TPDS’22] M. Duan, D. Liu, X. Ji, Y. Wu, L. Liang, X. Chen, Y. Tan, A. Ren, “Flexible ClusteredFederated Learning for Client-Level Data Distribution Shift”, in IEEE Transactions on Parallel andDistributed Systems, 2022.

[JSA’22] X. Feng, X. Chen, R. Li, J. Li, C. Song, D. Liu, Y. Tan, L. Qiao, “CoDiscard: A revenuemodel based cross-layer cooperative discarding mechanism for flash memory devices”, in Journal ofSystems Architecture, 2022.

[TPDS’21] Y. Tan, C. Xu, J. Xie, Z. Yan, H. Jiang, W. Srisa-an, X. Chen, D. Liu, “Improving thePerformance of Deduplicatation-based Storage Cache via Content-Driven Cache Management Methods”, in IEEE Transactions on Parallel and Distributed System, 2021.

[JSA’21] J. Ren , X. Chen, D. Liu, Y. Tan, M. Duan, R. Li, L. Liang, “A machine learning assisteddata placement mechanism for hybrid storage systems”, in Journal of Systems Architecture, 2021.

[JSA’21] Y. Wu, D. Liu, X. Chen, J. Ren, R. Liu, Y. Tan, Z. Zhang, “MobileRE: A replicas prioritizedhybrid fault tolerance strategy for mobile distributed system”, in Journal of Systems Architecture, 2021.

[TCAD’21] C. Yang, P. Huang, Y. Lin, J. Dong, D. Liu, Y. Tan, L. Liang, “MobileRE: A replicasprioritized hybrid fault tolerance strategy for mobile distributed system”, in IEEE Transactions onComputer-Aided Design of Integrated Circuits and Systems, 2021.

[TCAD’21] R. Zhang, D. Liu, Z. Shen, X. She, C. Yang, X. Chen, Y. Tan, C. Wang, “BridgingMismatched Granularity Between Embedded File Systems and Flash Memory”, in IEEE Transactionson Computer-Aided Design of Integrated Circuits and Systems, 2021.

[TPDS’21] M. Duan, D. Liu, X. Chen, R. Liu, Y. Tan, L. Liang, “Self-Balancing Federated LearningWith Global Imbalanced Data in Mobile Systems”, in IEEE Transactions on Parallel and DistributedSystems, 2021.

[TPDS’20] Y. Tan, B. Wang, Z. Yan, W. Srisa-an, X. Chen, D. Liu, “APMigration: ImprovingPerformance of Hybrid Memory Performance via An Adaptive Page Migration Method”, in IEEETransactions on Parallel and Distributed Systems, 2020.

[TC’20] R. Liu, X. Chen, D. Liu, Y. Ling, W. Wang, Y. Tan, “Separable Binary Convolutional NeuralNetwork on Embedded Systems”, in IEEE Transactions on Computers, 2020.

[FGCS’19] D. Liu, C. Yang, S. Li, X. Chen, J. Ren, R. Liu, M. Duan, Y. Tan, L. Liang, “FitCNN:A cloud-assisted and low-cost framework for updating CNNs on IoT devices”, in Future GenerationComputer Systems, 2019.

[TPDS’18] Y. Tan, B. Wang, J. Wen, Z. Yan, H. Jiang, S. Witawas, “Improving Restore Performancein Deduplication-based Backup Systems via a Fine-Grained Defragmentation Approach”, in IEEETransactions on Parallel and Distributed Systems, 2018.

[Cluster’15] Y. Tan, Z. Yan, D. Feng, X. He, Q. Zou, L. Yang, “De-Frag: an efficient scheme to improve deduplication performance via reducing data placement de-linearization”, in Cluster Computing,2015.

[TACO’13] Z. Yan, H. Jiang, Y. Tan, D. Feng, “An integrated pseudo-associativity and relaxedorder approach to hardware transactional memory”, in ACM Transactions on Architecture and CodeOptimization, 2013.

[Performance’11] Z. Yan, D. Feng, Y. Tan, “Poster: dissection the version management schemes inhardware transactional memory systems”, in SIGMETRICS Performace. Evaluation Review., 2011.