| 2026 | ACL | MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents. | Dongming Jiang, Yi Li, Guanpeng Li, Bingzhe Li |
| 2026 | HPCA | VeloxGNN: Efficient Out-of-Core GNN Training with Delayed Gradient Propagation. | Yi Li, Tsun-Yu Yang, Zhaoyan Shen, Ming-Chang Yang, Bingzhe Li |
| 2025 | CVPR | AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. | Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin |
| 2025 | FAST | Oasis: An Out-of-core Approximate Graph System via All-Distances Sketches. | Tsun-Yu Yang, Yi Li, Yizou Chen, Bingzhe Li, Ming-Chang Yang |
| 2025 | ICCD | Pixel-DNA: Increasing Robustness of Approximate DNA Storage for Images by Using Hierarchical Deduplication. | Alex Sensintaffar, David Du, Bingzhe Li |
| 2025 | ICDE | A Deep Dive into Protocol Design: How to Improve IPFS Performance without Sacrificing Decentralization. | Wenbin Zhu, Zhaoyan Shen, Mengying Zhao, Dongxiao Yu, Bingzhe Li |
| 2024 | ASPLOS | An Encoding Scheme to Enlarge Practical DNA Storage Capacity by Reducing Primer-Payload Collisions. | Yixun Wei, Bingzhe Li, David H. C. Du |
| 2024 | ASPLOS | 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 |
| 2024 | HPCA | 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 |
| 2024 | ICCAD | An Access Pattern-aware Hybrid Learning-based and Conventional Mapping for Solid-State Drives. | Qian Wei, Xiaosu Guo, Jie Wang, Zhaoyan Shen, Dongxiao Yu, Zhiping Jia, Bingzhe Li |
| 2023 | DAC | Reinforcement Learning-Assisted Management for Convertible SSDs. | Qian Wei, Yi Li, Zhiping Jia, Mengying Zhao, Zhaoyan Shen, Bingzhe Li |
| 2023 | ICCD | 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 |
| 2023 | MASCOTS | 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 |
| 2022 | ASPDAC | 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 |
| 2022 | CASES | 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 |
| 2022 | ICCAD | 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 |
| 2022 | ICCD | 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 |
| 2021 | DAC | 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 |
| 2021 | ICCD | 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 |
| 2021 | ICCD | EFM: Elastic Flash Management to Enhance Performance of Hybrid Flash Memory. | Bingzhe Li, Bo Yuan, David Du |
| 2021 | ICCD | WAS-Deletion: Workload-Aware Secure Deletion Scheme for Solid-State Drives. | Bingzhe Li, David Du |
| 2021 | ISPA | 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 |
| 2021 | SYSTOR | IMG-DNA: approximate DNA storage for images. | Bingzhe Li, Li Ou, David Du |
| 2021 | SYSTOR | HeuristicDB: a hybrid storage database system using a non-volatile memory block device. | Jinfeng Yang, Bingzhe Li, David J. Lilja |
| 2019 | DATE | Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing. | S. Rasoul Faraji, M. Hassan Najafi, Bingzhe Li, David J. Lilja, Kia Bazargan |
| 2019 | FAST | 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 |
| 2019 | ICCAD | 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 |
| 2017 | ICCD | Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. | Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja |
| 2017 | ICPADS | 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 |
| 2016 | FPGA | Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. | Bingzhe Li, M. Hassan Najafi, David J. Lilja |