Publications

Book Chapter

B1. M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, and Kia Bazargan, "Stochastic-Binary Convolutional Neural Networks with Deterministic Bit-streams", Hardware Architectures for Deep Learning, Publisher: IET, April 2020.

Conference

C28. [ASP-DAC'22] Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, and Lei Yang, “BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML”, The 27th Asia and South Pacific Design Automation Conference.

C27. [ICCD'21] Zehao Chen, Bingzhe Li, Xiaojun Cai, Zhiping Jia, Zhaoyan Shen, Yi Wang and Zili Shao, “Block-LSM: An Ethereum-aware Block-ordered LSM-tree based Key-Value Storage Engine”, 2021 The 39th IEEE International Conference on Computer Design.

C26. [ICCD'21] Bingzhe Li, Bo Yuan and David Du, “EFM: Elastic Flash Management to Enhance Performance of Hybrid Flash Memory”, 2021 The 39th IEEE International Conference on Computer Design.

C25. [ICCD'21] Bingzhe Li, and David Du, “WAS-Deletion: Workload-Aware Secure Deletion Scheme for Solid-State Drives”, 2021 The 39th IEEE International Conference on Computer Design.

C24. [ISPA'21] Milan Shetti, Bingzhe Li, and David Du, "E-VM: An Elastic Virtual Machine Scheduling Algorithm to Minimize the Total Cost of Ownership in a Hybrid Cloud", The 19th IEEE International Symposium on Parallel and Distributed Processing with Applications.

C23. [Systor'21] Bingzhe Li, Li Ou, and David Du, "IMG-DNA: Approximate DNA Storage for Images", The 14th ACM International Systems and Storage Conference.

C22. [Systor'21] Jinfeng Yang, Bingzhe Li, and David Lilja, "HeuristicDB: A Hybrid Storage Database System Using a Non-Volatile Memory Block Device", The 14th ACM International Systems and Storage Conference.

C21. [DAC'21] Yungang Pan, Zhiping Jia, Zhaoyan Shen, Bingzhe Li, Wanli Chang, and Zili Shao, "Reinforcement Learning-Assisted Cache Cleaning to Mitigate Long-Tail Latency in DM-SMR", The 58th ACM/IEEE Design Automation Conference.

C20. [HotStorage'20] Bingzhe Li, Nae Young Song, Li Ou, and David Du, "Can We Store the Whole World's Data in DNA Storage?", The 12th USENIX Workshop on Hot Topics in Storage and File Systems.

C19. [ICCAD'19] Bingzhe Li, Chunhua Deng, Jinfeng Yang, David Lilja, Bo Yuan, and David Du, “HAML-SSD: A Hardware Accelerated Hotness-Aware Machine Learning based SSD Management”, The 38th IEEE/ACM International Conference on Computer-Aided Design.

C18. [HotStorage'19] Fenggang Wu, Bingzhe Li, Zhichao Cao, Baoquan Zhang, Ming-Hong Yang, Hao Wen, and David Du, “ZoneAlloy: Elastic Data and Space Management for Hybrid SMR Drives”, 11th USENIX Workshop on Hot Topics in Storage and File Systems.

C17. [GLSVLSI'19] Bingzhe Li*, Jiaxi Hu*, M. Hassan Najafi, Steven Koester, and David J. Lilja, "Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks", The 29th edition of the ACM Great Lakes Symposium on VLSI. (*The first two authors contributed equally)

C16. [GLSVLSI'19] Bingzhe Li and David Du, "TASecure: Temperature-Aware Secure Deletion Scheme for Solid State Drives ", The 29th edition of the ACM Great Lakes Symposium on VLSI.

C15. [FAST'19] Zhichao Cao, Shiyong Liu, Fenggang Wu, Guohua Wang, Bingzhe Li , and David Du, "Sliding Look-Back Window Assisted Data Chunk Rewriting for Improving Deduplication Restore Performance", 17th USENIX Conference on File and Storage Technologies.

C14. [ISQED'19] M. Hassan Najafi, Sayed Abdolrasoul Faraji, Bingzhe Li, David J. Lilja, and Kia Bazargan, "Accelerating Deterministic Bit-Stream Computing with Resolution Splitting", 20th International Symposium on Quality Electronic Design.

C13. [DATE'19] Sayed Abdolrasoul Faraji, M. Hassan Najafi, Bingzhe Li, Kia Bazargan, and David J. Lilja, "Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing", The 2019 ACM/IEEE Design, Automation, and Test in Europe.

C12. [ISQED'18] Bingzhe Li, M. Hassan Najafi, Bo Yuan, and David J. Lilja. “Quantized Neural Networks with New Stochastic Multipliers”, 19th International Symposium on Quality Electronic Design.

C11. [NAS'18] Bingzhe Li, Meng Yang, Soheil Mohajer, Weikang Qian, and David Lilja, "Tier-code: An XOR-based RAID-6 Code with Improved Write and Degraded-mode Read Performance", 13th International Conference on Networking, Architecture, and Storage.

C10. [IEEE UEMCON’18] Yaobin Qin, Bingzhe Li, and David J. Lilja, “Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning”, The 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference.

C9. [IWLS'18] M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David Lilja, and Kia Bazargan , "Using Resolution Splitting to Enhance Performance of Deterministic Bit-Stream Computing ", The 27th International Workshop on Logic & Synthesis

C8. [ISVLSI'18] Meng Yang, Bingzhe Li, David J. Lilja, Bo Yuan, and Weikang Qian. “Towards Theoretical Cost Limit of Stochastic Number Generators for Stochastic Computing”, 2018 IEEE Computer Society Annual Symposium on VLSI.

C7. [HotStorage'18] Fenggang Wu, Baoquan Zhang, Zhichao Cao, Hao Wen, Bingzhe Li, Jim Diehl, Guohua Wang, and David HC Du. “Data Management Design for Interlaced Magnetic Recording”, 10th USENIX Workshop on Hot Topics in Storage and File Systems.

C6. [ICCD'17] Bingzhe Li, Yaobin Qin, Bo Yuan, and David Lilja, “Neural Network Classifiers using Stochastic Computing with a Hardware-Oriented Approximate Activation Function”, ICCD 2017, The 35th IEEE International Conference on Computer Design.

C5, [NAS'17] Bingzhe Li, Farnaz Toussi, Clark Anderson, David J. Lilja, and David HC Du. "TraceRAR: An I/O Performance Evaluation Tool for Replaying, Analyzing, and Regenerating Traces." In Networking, Architecture, and Storage (NAS), 2017 International Conference on, pp. 1-10. IEEE, 2017.

C4. [ICPADS'17] Manas Minglani, Jim Diehl, Xiang Cao, Bingzhe Li, Dongchul Park, David J. Lilja, and David H.C. Du, Kinetic Action: Performance Analysis of Integrated Key-Value Storage Devices vs. LevelDB Servers”, IEEE ICPADS 2017: International Conference on Parallel and Distributed Systems.

C3. [NAS'16] Bingzhe Li, Manas Minglani, and David Lilja. "Ps-Code: A New Code for Improved Degraded Mode Read and Write Performance of RAID Systems." Networking, Architecture and Storage (NAS), 2016 IEEE International Conference on. IEEE, 2016.

C2. [FPGA'16] Bingzhe Li, M. Hassan Najafi, and David J. Lilja. "Using stochastic computing to reduce the hardware requirements for a restricted Boltzmann machine classifier." Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. ACM, 2016.

C1. [ASAP'15] Bingzhe Li, M. Hassan Najafi, and David J. Lilja. "An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. “Application specific Systems, Architectures and Processors (ASAP), 2015 IEEE 26th International Conference on. IEEE, 2015.

Journal

J7. [IEEE Access] Lintao Xian, Bingzhe Li, Jing Liu, Zhongwen Guo, and David Du, "H-PS: A Heterogeneous-aware Parameter Server with Distributed Neural Network Training", IEEE Access (2021)

J6. [IEEE TC] Fenggang Wu, Bingzhe Li, Baoquan Zhang, Zhichao Cao, Hao Wen, Jim Diehl, Guohua Wang, and David Du, "TrackLace: Data Management for Interlaced Magnetic Recording", IEEE Transactions on Computers. (Featured Paper in the March 2021 issue of IEEE TC)

J5. [ACM TOMPECS] Jinfeng Yan, Bingzhe Li, and David J. Lilja, "Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology", ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS) 5.1 (2020): 1-28.

J4. [IEEE T-ED] Jiaxi Hu*, Bingzhe Li*, Cong Ma, David J. Lilja, and Steven Koester, "Spin-Hall-Effect based Stochastic Number Generator for Parallel Stochastic Computing", IEEE Transactions on Electron Devices, 66.8 (2019): 3620-3627. (*The first two authors contributed equally)

J3. [ACM JETC] Bingzhe Li, M. Hassan Najafi, and David Lilja. "Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks." ACM Journal on Emerging Technologies in Computing Systems (JETC) 15.2 (2019): 18.

J2. [ACM JETC] Bingzhe Li, Yaobin Qin, Bo Yuan, and David Lilja, "Neural Network Classifiers using a Hardware-based Approximate Activation Function with a Hybrid Stochastic Multiplier" ACM Journal on Emerging Technologies in Computing Systems (JETC) 15.1 (2019): 12. DOI: https://doi.org/10.1145/3284933

J1. [Elsevier Performance Evaluation] Bingzhe Li, Hao Wen, Farnaz Toussi, Clark Anderson, Bernard A. Ling-Smith, David Lilja, and David H.C. Du, "NetStorage: A Synchronized Trace-Driven Replayer for Network-Storage System Evaluation " Performance Evaluation (2018).

Patent

P4. Mohammadhassan Najafi, David J Lilja, Marcus Riedel, Kiarash Bazargan, Sayed Abdolrasoul Faraji, Bingzhe Li, "Low-discrepancy deterministic bit-stream processing using sobol sequences", U.S. Patent Application Number: US16/906,122, Type: Provisional, Filing Date: 2020.

P3. M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, and Kia Bazargan, "Resolution Splitting for Bit-Stream Processing", U.S. Patent Application Number: 62/864,798, Type: Provisional, Filing Date: June 2019.

P2. Bingzhe Li, M. Hassan Najafi, and David J. Lilja, "Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks", U.S. Patent Application Number: 62/817,343, Type: Provisional, Filing Date: March 2019.

P1. Han Shi, Bingzhe Li, and Fangcheng Gan, "Intelligent asphalt spreading amount control apparatus", Publication number: CN201413459 Y, Publication type: Grant, Publication date: Feb 24, 2010.