Bingzhe Li

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 58

Top Topics

Reinforcement Learning

Data Management

Top Venues

Publications

Zhaoyan Shen, Qingxiang Tang, Tianren Zhou, Yuhao Zhang, Zhiping Jia, Dongxiao Yu, Zhiyong Zhang, Bingzhe Li
ASHL: An Adaptive Multi-Stage Distributed Deep Learning Training Scheme for Heterogeneous Environments. IEEE Trans. Computers 73 (1) (2024)
Yixun Wei, Wenlong Wang, Huibing Dong, Bingzhe Li, David H. C. Du
VL-DNA: Enhance DNA Storage Capacity with Variable Payload (Strand) Lengths. CoRR (2024)
Tsun-Yu Yang, Cale England, Yi Li, Bingzhe Li, Ming-Chang Yang
Grafu: Unleashing the Full Potential of Future Value Computation for Out-of-core Synchronous Graph Processing. ASPLOS (2) (2024)
Yixun Wei, Bingzhe Li, David H. C. Du
An Encoding Scheme to Enlarge Practical DNA Storage Capacity by Reducing Primer-Payload Collisions. ASPLOS (2) (2024)
Qian Wei, Zehao Chen, Xiaowei Chen, Yuhao Zhang, Xiaojun Cai, Zhiping Jia, Zhaoyan Shen, Yi Wang, Zili Shao, Bingzhe Li
A Semantic-Integrated LSM-Tree-Based Key-Value Storage Engine for Blockchain Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Yi Li, Tsun-Yu Yang, Ming-Chang Yang, Zhaoyan Shen, Bingzhe Li
Celeritas: Out-of-Core Based Unsupervised Graph Neural Network via Cross-Layer Computing 2024. HPCA (2024)
Yixun Wei, Bingzhe Li, David H. C. Du
Collision Aware Data Allocation In Multi-tube DNA Storage. CoRR (2024)
Brady Prince, M. Hassan Najafi, Bingzhe Li
Scalable Low-Cost Sorting Network with Weighted Bit-Streams. ISQED (2023)
Bingzhe Li, Li Ou, Bo Yuan, David H. C. Du
DP-DNA: A Digital Pattern-Aware DNA Encoding Scheme to Improve Encoding Density of DNA Storage. MASCOTS (2023)
Zhaoyan Shen, Yuhan Yang, Yungang Pan, Yuhao Zhang, Zhiping Jia, Xiaojun Cai, Bingzhe Li, Zili Shao
A Multiagent Reinforcement Learning-Assisted Cache Cleaning Scheme for DM-SMR. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (8) (2023)
Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Xiaowei Xu, Bingzhe Li, Lei Yang
Hardware-aware neural architecture search for stochastic computing-based neural networks on tiny devices. J. Syst. Archit. 135 (2023)
Hao Wen, Zhichao Cao, Bingzhe Li, David H. C. Du, Ayman Abouelwafa, Doug Voigt, Shiyong Liu, Jim Diehl, Fenggang Wu
K8sES: Optimizing Kubernetes with Enhanced Storage Service-Level Objectives. ICCD (2023)
Qian Wei, Yi Li, Zhiping Jia, Mengying Zhao, Zhaoyan Shen, Bingzhe Li
Reinforcement Learning-Assisted Management for Convertible SSDs. DAC (2023)
Zehao Chen, Bingzhe Li, Xiaojun Cai, Zhiping Jia, Lei Ju, Zili Shao, Zhaoyan Shen
ChainKV: A Semantics-Aware Key-Value Store for Ethereum System. Proc. ACM Manag. Data 1 (4) (2023)
Yixun Wei, Bingzhe Li, David H. C. Du
DNA Storage: A Promising Large Scale Archival Storage? CoRR (2022)
Qian Wei, Bingzhe Li, Wanli Chang, Zhiping Jia, Zhaoyan Shen, Zili Shao
A Survey of Blockchain Data Management Systems. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Jinfeng Yang, Bingzhe Li, Jianjun Yuan, Zhaoyan Shen, Hung-Chang Du, David J. Lilja
Work-in-Progress: ExpCache: Online-Learning based Cache Replacement Policy for Non-Volatile Memory. CASES (2022)
Milan M. Shetti, Bingzhe Li, David H. C. Du
Machine Learning-based Adaptive Migration Algorithm for Hybrid Storage Systems. NAS (2022)
Qian Wei, Zhaoyan Shen, Yiheng Tong, Zhiping Jia, Lei Ju, Jiezhi Chen, Bingzhe Li
Re-LSM: A ReRAM-Based Processing-in-Memory Framework for LSM-Based Key-Value Store. ICCAD (2022)
Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, Lei Yang
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML. ASP-DAC (2022)
Yi Li, David H. C. Du, Li Ou, Bingzhe Li
HL-DNA: A Hybrid Lossy/Lossless Encoding Scheme to Enhance DNA Storage Density and Robustness for Images. ICCD (2022)
Bingzhe Li, David H. C. Du
WAS-Deletion: Workload-Aware Secure Deletion Scheme for Solid-State Drives. ICCD (2021)
Fenggang Wu, Bingzhe Li, Baoquan Zhang, Zhichao Cao, Jim Diehl, Hao Wen, David H. C. Du
TrackLace: Data Management for Interlaced Magnetic Recording. IEEE Trans. Computers 70 (3) (2021)
Lintao Xian, Bingzhe Li, Jing Liu, Zhongwen Guo, David H. C. Du
H-PS: A Heterogeneous-Aware Parameter Server With Distributed Neural Network Training. IEEE Access 9 (2021)
Jinfeng Yang, Bingzhe Li, David J. Lilja
HeuristicDB: a hybrid storage database system using a non-volatile memory block device. SYSTOR (2021)
Milan M. Shetti, Bingzhe Li, David H. C. Du
E-VM: An Elastic Virtual Machine Scheduling Algorithm to Minimize the Total Cost of Ownership in a Hybrid Cloud. ISPA/BDCloud/SocialCom/SustainCom (2021)
Yungang Pan, Zhiping Jia, Zhaoyan Shen, Bingzhe Li, Wanli Chang, Zili Shao
Reinforcement Learning-Assisted Cache Cleaning to Mitigate Long-Tail Latency in DM-SMR. DAC (2021)
Zehao Chen, Bingzhe Li, Xiaojun Cai, Zhiping Jia, Zhaoyan Shen, Yi Wang, Zili Shao
Block-LSM: An Ether-aware Block-ordered LSM-tree based Key-Value Storage Engine. ICCD (2021)
Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, Lei Yang
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML. CoRR (2021)
Fenggang Wu, Bingzhe Li, David H. C. Du
FluidSMR: Adaptive Management for Hybrid SMR Drives. ACM Trans. Storage 17 (4) (2021)
Bingzhe Li, Li Ou, David H. C. Du
IMG-DNA: approximate DNA storage for images. SYSTOR (2021)
Bingzhe Li, Li Ou, David H. C. Du
DP-DNA: A Digital Pattern-Aware DNA Storage System to Improve Encoding Density. CoRR (2021)
Bingzhe Li, Li Ou, David H. C. Du
Image-based Approximate DNA Storage System. CoRR (2021)
Xingming Zheng, Zhuangzhuang Feng, Lei Li, Bingzhe Li, Tao Jiang, Xiaojie Li, Xiaofeng Li, Si Chen
Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data. Int. J. Appl. Earth Obs. Geoinformation 100 (2021)
Qian Wei, Bingzhe Li, Wanli Chang, Zhiping Jia, Zhaoyan Shen, Zili Shao
A Survey of Blockchain Data Management Systems. CoRR (2021)
Bingzhe Li, Bo Yuan, David Hung-Chang Du
EFM: Elastic Flash Management to Enhance Performance of Hybrid Flash Memory. ICCD (2021)
Bingzhe Li, Nae Young Song, Li Ou, David H. C. Du
Can We Store the Whole World's Data in DNA Storage? HotStorage (2020)
Jinfeng Yang, Bingzhe Li, David J. Lilja
Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5 (1) (2020)
Zhichao Cao, Shiyong Liu, Fenggang Wu, Guohua Wang, Bingzhe Li, David H. C. Du
Sliding Look-Back Window Assisted Data Chunk Rewriting for Improving Deduplication Restore Performance. FAST (2019)
Bingzhe Li, David H. C. Du
TASecure: Temperature-Aware Secure Deletion Scheme for Solid State Drives. ACM Great Lakes Symposium on VLSI (2019)
M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, Kia Bazargan
Accelerating Deterministic Bit-Stream Computing with Resolution Splitting. ISQED (2019)
Fenggang Wu, Bingzhe Li, Zhichao Cao, Baoquan Zhang, Ming-Hong Yang, Hao Wen, David H. C. Du
ZoneAlloy: Elastic Data and Space Management for Hybrid SMR Drives. HotStorage (2019)
Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja
Neural Network Classifiers Using a Hardware-Based Approximate Activation Function with a Hybrid Stochastic Multiplier. ACM J. Emerg. Technol. Comput. Syst. 15 (1) (2019)
S. Rasoul Faraji, M. Hassan Najafi, Bingzhe Li, David J. Lilja, Kia Bazargan
Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing. DATE (2019)
Bingzhe Li, M. Hassan Najafi, David J. Lilja
Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 15 (2) (2019)
Bingzhe Li, Jiaxi Hu, M. Hassan Najafi, Steven J. Koester, David J. Lilja
Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Bingzhe Li, Hao Wen, Farnaz Toussi, Clark Anderson, Bernard A. King-Smith, David J. Lilja, David H. C. Du
NetStorage: A synchronized trace-driven replayer for network-storage system evaluation. Perform. Evaluation 130 (2019)
Bingzhe Li, Chunhua Deng, Jinfeng Yang, David J. Lilja, Bo Yuan, David H. C. Du
HAML-SSD: A Hardware Accelerated Hotness-Aware Machine Learning based SSD Management. ICCAD (2019)
Yaobin Qin, Bingzhe Li, David J. Lilja
Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning. UEMCON (2018)
Bingzhe Li, Meng Yang, Soheil Mohajer, Weikang Qian, David J. Lilja
Tier-Code: An XOR-Based RAID-6 Code with Improved Write and Degraded-Mode Read Performance. NAS (2018)
Fenggang Wu, Baoquan Zhang, Zhichao Cao, Hao Wen, Bingzhe Li, Jim Diehl, Guohua Wang, David H. C. Du
Data Management Design for Interlaced Magnetic Recording. HotStorage (2018)
Meng Yang, Bingzhe Li, David J. Lilja, Bo Yuan, Weikang Qian
Towards Theoretical Cost Limit of Stochastic Number Generators for Stochastic Computing. ISVLSI (2018)
Bingzhe Li, M. Hassan Najafi, Bo Yuan, David J. Lilja
Quantized neural networks with new stochastic multipliers. ISQED (2018)
Bingzhe Li, Farnaz Toussi, Clark Anderson, David J. Lilja, David H. C. Du
TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces. NAS (2017)
Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja
Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. ICCD (2017)
Manas Minglani, Jim Diehl, Xiang Cao, Bingzhe Li, Dongchul Park, David J. Lilja, David H. C. Du
Kinetic Action: Performance Analysis of Integrated Key-Value Storage Devices vs. LevelDB Servers. ICPADS (2017)
Bingzhe Li, Manas Minglani, David J. Lilja
Ps-Code: A New Code for Improved Degraded Mode Read and Write Performance of RAID Systems. NAS (2016)
Bingzhe Li, M. Hassan Najafi, David J. Lilja
Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. FPGA (2016)
Bingzhe Li, M. Hassan Najafi, David J. Lilja
An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. ASAP (2015)