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2020 – today
- 2024
[j14]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): 30-43 (2024)- [j13]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): 1794-1807 (2024) - [c39]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: 71-84 - [c38]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: 467-481 - [c37]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: 91-107 - [c36]Zhaokang Ke, Dingyi Kang, Bo Yuan, David Du, Bingzhe Li:
Improving the Sustainability of Solid-State Drives by Prolonging Lifetime. ISVLSI 2024: 502-507 - [i7]Yixun Wei, Wenlong Wang, Huibing Dong, Bingzhe Li, David H. C. Du:
VL-DNA: Enhance DNA Storage Capacity with Variable Payload (Strand) Lengths. CoRR abs/2403.14204 (2024) - [i6]Yixun Wei, Bingzhe Li, David H. C. Du:
Collision Aware Data Allocation In Multi-tube DNA Storage. CoRR abs/2403.14732 (2024) - 2023
- [j12]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: 102810 (2023) - [j11]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): 226:1-226:23 (2023) - [j10]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): 2500-2513 (2023) - [c35]Qian Wei, Yi Li, Zhiping Jia, Mengying Zhao, Zhaoyan Shen, Bingzhe Li:
Reinforcement Learning-Assisted Management for Convertible SSDs. DAC 2023: 1-6 - [c34]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: 214-222 - [c33]Brady Prince, M. Hassan Najafi, Bingzhe Li:
Scalable Low-Cost Sorting Network with Weighted Bit-Streams. ISQED 2023: 1-6 - [c32]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: 1-8 - 2022
- [j9]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): 25:1-25:28 (2022) - [c31]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: 314-319 - [c30]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: 7-8 - [c29]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: 44:1-44:9 - [c28]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: 434-442 - [c27]Milan M. Shetti, Bingzhe Li, David H. C. Du:
Machine Learning-based Adaptive Migration Algorithm for Hybrid Storage Systems. NAS 2022: 1-8 - [i5]Yixun Wei, Bingzhe Li, David H. C. Du:
DNA Storage: A Promising Large Scale Archival Storage? CoRR abs/2204.01870 (2022) - 2021
- [j8]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: 44049-44058 (2021) - [j7]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: 102345 (2021) - [j6]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): 347-358 (2021) - [j5]Fenggang Wu, Bingzhe Li, David H. C. Du:
FluidSMR: Adaptive Management for Hybrid SMR Drives. ACM Trans. Storage 17(4): 32:1-32:30 (2021) - [c26]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: 103-108 - [c25]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: 25-32 - [c24]Bingzhe Li, Bo Yuan, David Hung-Chang Du:
EFM: Elastic Flash Management to Enhance Performance of Hybrid Flash Memory. ICCD 2021: 162-169 - [c23]Bingzhe Li, David H. C. Du:
WAS-Deletion: Workload-Aware Secure Deletion Scheme for Solid-State Drives. ICCD 2021: 244-247 - [c22]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: 202-211 - [c21]Bingzhe Li, Li Ou, David H. C. Du:
IMG-DNA: approximate DNA storage for images. SYSTOR 2021: 9:1-9:9 - [c20]Jinfeng Yang, Bingzhe Li, David J. Lilja:
HeuristicDB: a hybrid storage database system using a non-volatile memory block device. SYSTOR 2021: 16:1-16:12 - [i4]Bingzhe Li, Li Ou, David H. C. Du:
Image-based Approximate DNA Storage System. CoRR abs/2103.02847 (2021) - [i3]Bingzhe Li, Li Ou, David H. C. Du:
DP-DNA: A Digital Pattern-Aware DNA Storage System to Improve Encoding Density. CoRR abs/2108.04123 (2021) - [i2]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 abs/2111.06686 (2021) - [i1]Qian Wei, Bingzhe Li, Wanli Chang, Zhiping Jia, Zhaoyan Shen, Zili Shao:
A Survey of Blockchain Data Management Systems. CoRR abs/2111.13683 (2021) - 2020
- [j4]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): 4:1-4:28 (2020) - [c19]Bingzhe Li, Nae Young Song, Li Ou, David H. C. Du:
Can We Store the Whole World's Data in DNA Storage? HotStorage 2020
2010 – 2019
- 2019
- [j3]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): 12:1-12:21 (2019) - [j2]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): 18:1-18:19 (2019) - [j1]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: 86-100 (2019) - [c18]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: 1757-1762 - [c17]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: 129-142 - [c16]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: 141-146 - [c15]Bingzhe Li, David H. C. Du:
TASecure: Temperature-Aware Secure Deletion Scheme for Solid State Drives. ACM Great Lakes Symposium on VLSI 2019: 275-278 - [c14]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 - [c13]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: 1-8 - [c12]M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, Kia Bazargan:
Accelerating Deterministic Bit-Stream Computing with Resolution Splitting. ISQED 2019: 157-162 - 2018
- [c11]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 - [c10]Bingzhe Li, M. Hassan Najafi, Bo Yuan, David J. Lilja:
Quantized neural networks with new stochastic multipliers. ISQED 2018: 376-382 - [c9]Meng Yang, Bingzhe Li, David J. Lilja, Bo Yuan, Weikang Qian:
Towards Theoretical Cost Limit of Stochastic Number Generators for Stochastic Computing. ISVLSI 2018: 154-159 - [c8]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: 1-10 - [c7]Yaobin Qin, Bingzhe Li, David J. Lilja:
Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning. UEMCON 2018: 673-682 - 2017
- [c6]Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja:
Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. ICCD 2017: 97-104 - [c5]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: 501-510 - [c4]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: 1-10 - 2016
- [c3]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. FPGA 2016: 36-41 - [c2]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: 1-10 - 2015
- [c1]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. ASAP 2015: 68-69
Coauthor Index
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