An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. - Bingzhe Li; M. Hassan Najafi; David J. Lilja (ASAP, 2015)

Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. - Bingzhe Li; M. Hassan Najafi; David J. Lilja (FPGA, 2016)

Ps-Code: A New Code for Improved Degraded Mode Read and Write Performance of RAID Systems. - Bingzhe Li; Manas Minglani; David J. Lilja (NAS, 2016)

Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. - Bingzhe Li; Yaobin Qin; Bo Yuan 001; David J. Lilja (ICCD, 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 (ICPADS, 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 (NAS, 2017)

Data Management Design for Interlaced Magnetic Recording. - Fenggang Wu; Baoquan Zhang; Zhichao Cao 002; Hao Wen 001; Bingzhe Li; Jim Diehl; Guohua Wang; David H. C. Du (HotStorage, 2018)

Quantized neural networks with new stochastic multipliers. - Bingzhe Li; M. Hassan Najafi; Bo Yuan 001; David J. Lilja (ISQED, 2018)

Towards Theoretical Cost Limit of Stochastic Number Generators for Stochastic Computing. - Meng Yang; Bingzhe Li; David J. Lilja; Bo Yuan 001; Weikang Qian (ISVLSI, 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 (NAS, 2018)

Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning. - Yaobin Qin; Bingzhe Li; David J. Lilja (UEMCON, 2018)

Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing. - S. Rasoul Faraji; M. Hassan Najafi; Bingzhe Li; David J. Lilja; Kia Bazargan (DATE, 2019)

Sliding Look-Back Window Assisted Data Chunk Rewriting for Improving Deduplication Restore Performance. - Zhichao Cao 002; Shiyong Liu; Fenggang Wu; Guohua Wang; Bingzhe Li; David H. C. Du (FAST, 2019)

TASecure: Temperature-Aware Secure Deletion Scheme for Solid State Drives. - Bingzhe Li; David H. C. Du (ACM Great Lakes Symposium on VLSI, 2019)

Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks. - Bingzhe Li; Jiaxi Hu; M. Hassan Najafi; Steven J. Koester; David J. Lilja (ACM Great Lakes Symposium on VLSI, 2019)

ZoneAlloy: Elastic Data and Space Management for Hybrid SMR Drives. - Fenggang Wu; Bingzhe Li; Zhichao Cao 002; Baoquan Zhang; Ming-Hong Yang; Hao Wen 001; David H. C. Du (HotStorage, 2019)

HAML-SSD: A Hardware Accelerated Hotness-Aware Machine Learning based SSD Management. - Bingzhe Li; Chunhua Deng; Jinfeng Yang; David J. Lilja; Bo Yuan 001; David H. C. Du (ICCAD, 2019)

Accelerating Deterministic Bit-Stream Computing with Resolution Splitting. - M. Hassan Najafi; S. Rasoul Faraji; Bingzhe Li; David J. Lilja; Kia Bazargan (ISQED, 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)

Neural Network Classifiers Using a Hardware-Based Approximate Activation Function with a Hybrid Stochastic Multiplier. - Bingzhe Li; Yaobin Qin; Bo Yuan 001; David J. Lilja (ACM J. Emerg. Technol. Comput. Syst., 2019)

NetStorage: A synchronized trace-driven replayer for network-storage system evaluation. - Bingzhe Li; Hao Wen 001; Farnaz Toussi; Clark Anderson; Bernard A. King-Smith; David J. Lilja; David H. C. Du (Perform. Evaluation, 2019)

Can We Store the Whole World's Data in DNA Storage? - Bingzhe Li; Nae Young Song; Li Ou; David H. C. Du (HotStorage, 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)

Reinforcement Learning-Assisted Cache Cleaning to Mitigate Long-Tail Latency in DM-SMR. - Yungang Pan; Zhiping Jia; Zhaoyan Shen; Bingzhe Li; Wanli Chang 001; Zili Shao (DAC, 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 003; Zili Shao (ICCD, 2021)

EFM: Elastic Flash Management to Enhance Performance of Hybrid Flash Memory. - Bingzhe Li; Bo Yuan 001; David Du 001 (ICCD, 2021)

WAS-Deletion: Workload-Aware Secure Deletion Scheme for Solid-State Drives. - Bingzhe Li; David Du 001 (ICCD, 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 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

IMG-DNA: approximate DNA storage for images. - Bingzhe Li; Li Ou; David Du 001 (SYSTOR, 2021)

HeuristicDB: a hybrid storage database system using a non-volatile memory block device. - Jinfeng Yang; Bingzhe Li; David J. Lilja (SYSTOR, 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)

Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data. - Xingming Zheng; Zhuangzhuang Feng; Lei Li 046; Bingzhe Li; Tao Jiang 024; Xiaojie Li 002; Xiaofeng Li 002; Si Chen (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Image-based Approximate DNA Storage System. - Bingzhe Li; Li Ou; David H. C. Du (CoRR, 2021)

DP-DNA: A Digital Pattern-Aware DNA Storage System to Improve Encoding Density. - Bingzhe Li; Li Ou; David H. C. Du (CoRR, 2021)

TrackLace: Data Management for Interlaced Magnetic Recording. - Fenggang Wu; Bingzhe Li; Baoquan Zhang; Zhichao Cao 002; Jim Diehl; Hao Wen 001; David H. C. Du (IEEE Trans. Computers, 2021)

FluidSMR: Adaptive Management for Hybrid SMR Drives. - Fenggang Wu; Bingzhe Li; David H. C. Du (ACM Trans. Storage, 2021)

BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML. - Yuhong Song; Edwin Hsing-Mean Sha; Qingfeng Zhuge; Rui Xu 013; Yongzhuo Zhang; Bingzhe Li; Lei Yang 018 (ASP-DAC, 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 (CASES, 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 001; Jiezhi Chen; Bingzhe Li (ICCAD, 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 (ICCD, 2022)

Machine Learning-based Adaptive Migration Algorithm for Hybrid Storage Systems. - Milan M. Shetti; Bingzhe Li; David H. C. Du (NAS, 2022)

DNA Storage: A Promising Large Scale Archival Storage? - Yixun Wei; Bingzhe Li; David H. C. Du (CoRR, 2022)

A Survey of Blockchain Data Management Systems. - Qian Wei; Bingzhe Li; Wanli Chang 001; Zhiping Jia; Zhaoyan Shen; Zili Shao (ACM Trans. Embed. Comput. Syst., 2022)

Reinforcement Learning-Assisted Management for Convertible SSDs. - Qian Wei; Yi Li; Zhiping Jia; Mengying Zhao; Zhaoyan Shen; Bingzhe Li (DAC, 2023)

K8sES: Optimizing Kubernetes with Enhanced Storage Service-Level Objectives. - Hao Wen 001; Zhichao Cao 002; Bingzhe Li; David H. C. Du; Ayman Abouelwafa; Doug Voigt; Shiyong Liu; Jim Diehl; Fenggang Wu (ICCD, 2023)

Scalable Low-Cost Sorting Network with Weighted Bit-Streams. - Brady Prince; M. Hassan Najafi; Bingzhe Li (ISQED, 2023)

DP-DNA: A Digital Pattern-Aware DNA Encoding Scheme to Improve Encoding Density of DNA Storage. - Bingzhe Li; Li Ou; Bo Yuan 001; David H. C. Du (MASCOTS, 2023)

A Multiagent Reinforcement Learning-Assisted Cache Cleaning Scheme for DM-SMR. - Zhaoyan Shen; Yuhan Yang; Yungang Pan; Yuhao Zhang 006; Zhiping Jia; Xiaojun Cai; Bingzhe Li; Zili Shao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 013; Xiaowei Xu 004; Bingzhe Li; Lei Yang 018 (J. Syst. Archit., 2023)

ChainKV: A Semantics-Aware Key-Value Store for Ethereum System. - Zehao Chen; Bingzhe Li; Xiaojun Cai; Zhiping Jia; Lei Ju 001; Zili Shao; Zhaoyan Shen (Proc. ACM Manag. Data, 2023)

An Encoding Scheme to Enlarge Practical DNA Storage Capacity by Reducing Primer-Payload Collisions. - Yixun Wei; Bingzhe Li; David H. C. Du (ASPLOS (2), 2024)

Grafu: Unleashing the Full Potential of Future Value Computation for Out-of-core Synchronous Graph Processing. - Tsun-Yu Yang; Cale England; Yi Li; Bingzhe Li; Ming-Chang Yang (ASPLOS (2), 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 (HPCA, 2024)

An Access Pattern-aware Hybrid Learning-based and Conventional Mapping for Solid-State Drives. - Qian Wei; Xiaosu Guo; Jie Wang 128; Zhaoyan Shen; Dongxiao Yu; Zhiping Jia; Bingzhe Li (ICCAD, 2024)

Improving the Sustainability of Solid-State Drives by Prolonging Lifetime. - Zhaokang Ke; Dingyi Kang; Bo Yuan 001; David Du 001; Bingzhe Li (ISVLSI, 2024)

VL-DNA: Enhance DNA Storage Capacity with Variable Payload (Strand) Lengths. - Yixun Wei; Wenlong Wang; Huibing Dong; Bingzhe Li; David Du 001 (CoRR, 2024)

Collision Aware Data Allocation In Multi-tube DNA Storage. - Yixun Wei; Bingzhe Li; David Du 001 (CoRR, 2024)

YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training. - Yi Li; Zhichun Guo; Guanpeng Li; Bingzhe Li (CoRR, 2024)

AdaCM2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. - Yuanbin Man; Ying Huang 008; Chengming Zhang 006; Bingzhe Li; Wei Niu 002; Miao Yin (CoRR, 2024)

ASHL: An Adaptive Multi-Stage Distributed Deep Learning Training Scheme for Heterogeneous Environments. - Zhaoyan Shen; Qingxiang Tang; Tianren Zhou; Yuhao Zhang 006; Zhiping Jia; Dongxiao Yu; Zhiyong Zhang 006; Bingzhe Li (IEEE Trans. Computers, 2024)

A Semantic-Integrated LSM-Tree-Based Key-Value Storage Engine for Blockchain Systems. - Qian Wei; Zehao Chen; Xiaowei Chen; Yuhao Zhang 006; Xiaojun Cai; Zhiping Jia; Zhaoyan Shen; Yi Wang 003; Zili Shao; Bingzhe Li (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. - Yuanbin Man; Ying Huang 008; Chengming Zhang 006; Bingzhe Li; Wei Niu 002; Miao Yin (CVPR, 2025)

Oasis: An Out-of-core Approximate Graph System via All-Distances Sketches. - Tsun-Yu Yang; Yi Li; Yizou Chen; Bingzhe Li; Ming-Chang Yang (FAST, 2025)

A Deep Dive into Protocol Design: How to Improve IPFS Performance without Sacrificing Decentralization. - Wenbin Zhu; Zhaoyan Shen; Mengying Zhao; Dongxiao Yu; Bingzhe Li (ICDE, 2025)

Managing Hybrid Solid-State Drives Using Large Language Models. - Qian Wei; Yi Li; Zehao Chen; Zhaoyan Shen; Dongxiao Yu; Bingzhe Li (CoRR, 2025)

Analyzing 16,193 LLM Papers for Fun and Profits. - Zhiqiu Xia; Lang Zhu; Bingzhe Li; Feng Chen; Qiannan Li; Chunhua Liao; Feiyi Wang; Hang Liu (CoRR, 2025)

Adversarial Attack Bypass by Stochastic Computing. - Faeze S. Banitaba; Sercan Aygun; Mehran Shoushtari Moghadam; Amir Hossein Jalilvand; Bingzhe Li; M. Hassan Najafi (IEEE Embed. Syst. Lett., 2025)

Advancing Archival Data Storage: The Promises and Challenges of DNA Storage System. - Alex Sensintaffar; Yixun Wei; Li Ou; David Du 001; Bingzhe Li (ACM Trans. Storage, 2025)