Bingzhe Li

According to our database, Bingzhe Li authored at least 54 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ASHL: An Adaptive Multi-Stage Distributed Deep Learning Training Scheme for Heterogeneous Environments.

Zhaoyan Shen, Qingxiang Tang, Tianren Zhou, Yuhao Zhang, Zhiping Jia, Dongxiao Yu, Zhiyong Zhang, Bingzhe Li

IEEE Trans. Computers, January, 2024

Collision Aware Data Allocation In Multi-tube DNA Storage.

Yixun Wei, Bingzhe Li, David H. C. Du

CoRR, 2024

VL-DNA: Enhance DNA Storage Capacity with Variable Payload (Strand) Lengths.

Yixun Wei, Wenlong Wang, Huibing Dong, Bingzhe Li, David H. C. Du

CoRR, 2024

Celeritas: Out-of-Core Based Unsupervised Graph Neural Network via Cross-Layer Computing 2024.

Yi Li, Tsun-Yu Yang, Ming-Chang Yang, Zhaoyan Shen, Bingzhe Li

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

ChainKV: A Semantics-Aware Key-Value Store for Ethereum System.

Zehao Chen, Bingzhe Li, Xiaojun Cai, Zhiping Jia, Lei Ju, Zili Shao, Zhaoyan Shen

Proc. ACM Manag. Data, December, 2023

Hardware-aware neural architecture search for stochastic computing-based neural networks on tiny devices.

Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Xiaowei Xu, Bingzhe Li, Lei Yang

J. Syst. Archit., February, 2023

A Multiagent Reinforcement Learning-Assisted Cache Cleaning Scheme for DM-SMR.

Zhaoyan Shen, Yuhan Yang, Yungang Pan, Yuhao Zhang, Zhiping Jia, Xiaojun Cai, Bingzhe Li, Zili Shao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

DP-DNA: A Digital Pattern-Aware DNA Encoding Scheme to Improve Encoding Density of DNA Storage.

Bingzhe Li, Li Ou, Bo Yuan, David H. C. Du

Proceedings of the 31st International Symposium on Modeling, 2023

Scalable Low-Cost Sorting Network with Weighted Bit-Streams.

Brady Prince, M. Hassan Najafi, Bingzhe Li

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

K8sES: Optimizing Kubernetes with Enhanced Storage Service-Level Objectives.

Hao Wen, Zhichao Cao, Bingzhe Li, David H. C. Du, Ayman Abouelwafa, Doug Voigt, Shiyong Liu, Jim Diehl, Fenggang Wu

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Reinforcement Learning-Assisted Management for Convertible SSDs.

Qian Wei, Yi Li, Zhiping Jia, Mengying Zhao, Zhaoyan Shen, Bingzhe Li

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A Survey of Blockchain Data Management Systems.

Qian Wei, Bingzhe Li, Wanli Chang, Zhiping Jia, Zhaoyan Shen, Zili Shao

ACM Trans. Embed. Comput. Syst., 2022

DNA Storage: A Promising Large Scale Archival Storage?

Yixun Wei, Bingzhe Li, David H. C. Du

CoRR, 2022

Machine Learning-based Adaptive Migration Algorithm for Hybrid Storage Systems.

Milan M. Shetti, Bingzhe Li, David H. C. Du

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

HL-DNA: A Hybrid Lossy/Lossless Encoding Scheme to Enhance DNA Storage Density and Robustness for Images.

Yi Li, David H. C. Du, Li Ou, Bingzhe Li

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Re-LSM: A ReRAM-Based Processing-in-Memory Framework for LSM-Based Key-Value Store.

Qian Wei, Zhaoyan Shen, Yiheng Tong, Zhiping Jia, Lei Ju, Jiezhi Chen, Bingzhe Li

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Work-in-Progress: ExpCache: Online-Learning based Cache Replacement Policy for Non-Volatile Memory.

Jinfeng Yang, Bingzhe Li, Jianjun Yuan, Zhaoyan Shen, Hung-Chang Du, David J. Lilja

Proceedings of the International Conference on Compilers, 2022

BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML.

Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, Lei Yang

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

FluidSMR: Adaptive Management for Hybrid SMR Drives.

Fenggang Wu, Bingzhe Li, David H. C. Du

ACM Trans. Storage, 2021

TrackLace: Data Management for Interlaced Magnetic Recording.

Fenggang Wu, Bingzhe Li, Baoquan Zhang, Zhichao Cao, Jim Diehl, Hao Wen, David H. C. Du

IEEE Trans. Computers, 2021

DP-DNA: A Digital Pattern-Aware DNA Storage System to Improve Encoding Density.

Bingzhe Li, Li Ou, David H. C. Du

CoRR, 2021

Image-based Approximate DNA Storage System.

Bingzhe Li, Li Ou, David H. C. Du

CoRR, 2021

Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data.

Xingming Zheng, Zhuangzhuang Feng, Lei Li, Bingzhe Li, Tao Jiang, Xiaojie Li, Xiaofeng Li, Si Chen

Int. J. Appl. Earth Obs. Geoinformation, 2021

H-PS: A Heterogeneous-Aware Parameter Server With Distributed Neural Network Training.

Lintao Xian, Bingzhe Li, Jing Liu, Zhongwen Guo, David H. C. Du

IEEE Access, 2021

HeuristicDB: a hybrid storage database system using a non-volatile memory block device.

Jinfeng Yang, Bingzhe Li, David J. Lilja

Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

IMG-DNA: approximate DNA storage for images.

Bingzhe Li, Li Ou, David H. C. Du

Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

E-VM: An Elastic Virtual Machine Scheduling Algorithm to Minimize the Total Cost of Ownership in a Hybrid Cloud.

Milan M. Shetti, Bingzhe Li, David H. C. Du

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

WAS-Deletion: Workload-Aware Secure Deletion Scheme for Solid-State Drives.

Bingzhe Li, David H. C. Du

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

EFM: Elastic Flash Management to Enhance Performance of Hybrid Flash Memory.

Bingzhe Li, Bo Yuan, David Hung-Chang Du

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Block-LSM: An Ether-aware Block-ordered LSM-tree based Key-Value Storage Engine.

Zehao Chen, Bingzhe Li, Xiaojun Cai, Zhiping Jia, Zhaoyan Shen, Yi Wang, Zili Shao

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Reinforcement Learning-Assisted Cache Cleaning to Mitigate Long-Tail Latency in DM-SMR.

Yungang Pan, Zhiping Jia, Zhaoyan Shen, Bingzhe Li, Wanli Chang, Zili Shao

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology.

Jinfeng Yang, Bingzhe Li, David J. Lilja

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2020

Can We Store the Whole World's Data in DNA Storage?

Bingzhe Li, Nae Young Song, Li Ou, David H. C. Du

Proceedings of the 12th USENIX Workshop on Hot Topics in Storage and File Systems, 2020

2019

NetStorage: A synchronized trace-driven replayer for network-storage system evaluation.

Bingzhe Li, Hao Wen, Farnaz Toussi, Clark Anderson, Bernard A. King-Smith, David J. Lilja, David H. C. Du

Perform. Evaluation, 2019

Neural Network Classifiers Using a Hardware-Based Approximate Activation Function with a Hybrid Stochastic Multiplier.

Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja

ACM J. Emerg. Technol. Comput. Syst., 2019

Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks.

Bingzhe Li, M. Hassan Najafi, David J. Lilja

ACM J. Emerg. Technol. Comput. Syst., 2019

Accelerating Deterministic Bit-Stream Computing with Resolution Splitting.

M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, Kia Bazargan

Proceedings of the 20th International Symposium on Quality Electronic Design, 2019

HAML-SSD: A Hardware Accelerated Hotness-Aware Machine Learning based SSD Management.

Bingzhe Li, Chunhua Deng, Jinfeng Yang, David J. Lilja, Bo Yuan, David H. C. Du

Proceedings of the International Conference on Computer-Aided Design, 2019

ZoneAlloy: Elastic Data and Space Management for Hybrid SMR Drives.

Fenggang Wu, Bingzhe Li, Zhichao Cao, Baoquan Zhang, Ming-Hong Yang, Hao Wen, David H. C. Du

Proceedings of the 11th USENIX Workshop on Hot Topics in Storage and File Systems, 2019

Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks.

Bingzhe Li, Jiaxi Hu, M. Hassan Najafi, Steven J. Koester, David J. Lilja

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

TASecure: Temperature-Aware Secure Deletion Scheme for Solid State Drives.

Bingzhe Li, David H. C. Du

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Sliding Look-Back Window Assisted Data Chunk Rewriting for Improving Deduplication Restore Performance.

Zhichao Cao, Shiyong Liu, Fenggang Wu, Guohua Wang, Bingzhe Li, David H. C. Du

Proceedings of the 17th USENIX Conference on File and Storage Technologies, 2019

Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing.

S. Rasoul Faraji, M. Hassan Najafi, Bingzhe Li, David J. Lilja, Kia Bazargan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning.

Yaobin Qin, Bingzhe Li, David J. Lilja

Proceedings of the 9th IEEE Annual Ubiquitous Computing, 2018

Tier-Code: An XOR-Based RAID-6 Code with Improved Write and Degraded-Mode Read Performance.

Bingzhe Li, Meng Yang, Soheil Mohajer, Weikang Qian, David J. Lilja

Proceedings of the 2018 IEEE International Conference on Networking, 2018

Towards Theoretical Cost Limit of Stochastic Number Generators for Stochastic Computing.

Meng Yang, Bingzhe Li, David J. Lilja, Bo Yuan, Weikang Qian

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

Quantized neural networks with new stochastic multipliers.

Bingzhe Li, M. Hassan Najafi, Bo Yuan, David J. Lilja

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Data Management Design for Interlaced Magnetic Recording.

Fenggang Wu, Baoquan Zhang, Zhichao Cao, Hao Wen, Bingzhe Li, Jim Diehl, Guohua Wang, David H. C. Du

Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018

2017

TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces.

Bingzhe Li, Farnaz Toussi, Clark Anderson, David J. Lilja, David H. C. Du

Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

Kinetic Action: Performance Analysis of Integrated Key-Value Storage Devices vs. LevelDB Servers.

Manas Minglani, Jim Diehl, Xiang Cao, Bingzhe Li, Dongchul Park, David J. Lilja, David H. C. Du

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function.

Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja

Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

2016

Ps-Code: A New Code for Improved Degraded Mode Read and Write Performance of RAID Systems.

Bingzhe Li, Manas Minglani, David J. Lilja

Proceedings of the IEEE International Conference on Networking, 2016

Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier.

Bingzhe Li, M. Hassan Najafi, David J. Lilja

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015

An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams.

Bingzhe Li, M. Hassan Najafi, David J. Lilja

Proceedings of the 26th IEEE International Conference on Application-specific Systems, 2015