Bing Li

62 papers A* 7A 10C 3Journal 26Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A System Architecture for Low Latency Multiprogramming Quantum Computing.
CoRR
Yilun Zhao, Yu Chen, Kaiyan Chang, He Li, Bing Li, Yinhe Han, Ying Wang
2026 J jnl
SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation.
IEEE Trans. Computers
Yilun Zhao, Bingmeng Wang, Wenle Jiang, Xiwei Pan, Bing Li, Yinhe Han, Ying Wang
2025 J jnl
A Brain-Inspired Intelligent Vision Sensor With Spiking Processing-in-Sensor Architecture for Spike Feature Encoding.
IEEE Trans. Circuits Syst. II Express Briefs
Long Chen, Ye Zhao, Ziyuan Wang, Aoming Zhan, Jinyu Gao, Bing Li, Yumei Zhou, Shushan Qiao
2025 J jnl
Accelerating Unstructured Sparse DNNs via Multilevel Partial Sum Reduction and PE Array-Level Load Balancing.
IEEE Trans. Very Large Scale Integr. Syst.
Chendong Xia, Qiang Li, Zhi Li, Bing Li, Huidong Zhao, Shushan Qiao
2025 J jnl
Attar: RRAM-based in-memory attention accelerator with software-hardware co-optimization.
Sci. China Inf. Sci.
Bing Li, Ying Qi, Ying Wang, Yinhe Han
2025 — conf
Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators.
ASPLOS (2)
Shixin Zhao, Yuming Li, Bing Li, Yintao He, Mengdi Wang, Yinhe Han, Ying Wang
2025 J jnl
Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators.
CoRR
Shixin Zhao, Yuming Li, Bing Li, Yintao He, Mengdi Wang, Yinhe Han, Ying Wang
2025 A conf
CLASS: A Controller-Centric Layout Synthesizer for Dynamic Quantum Circuits.
ICCAD
Yu Chen, Yilun Zhao, Bing Li, He Li, Mengdi Wang, Yinhe Han, Ying Wang
2025 J jnl
CLASS: A Controller-Centric Layout Synthesizer for Dynamic Quantum Circuits.
CoRR
Yu Chen, Yilun Zhao, Bing Li, He Li, Mengdi Wang, Yinhe Han, Ying Wang
2025 — conf
High-Parallel In-Memory NTT Engine with Hierarchical Structure and Even-Odd Data Mapping.
ASP-DAC
Bing Li, Huaijun Liu, Yibo Du, Ying Wang
2025 A* conf
Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM.
HPCA
Lian Liu, Shixin Zhao, Bing Li, Haimeng Ren, Zhaohui Xu, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
2025 J jnl
Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM.
CoRR
Lian Liu, Shixin Zhao, Bing Li, Haimeng Ren, Zhaohui Xu, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang
2025 A* conf
UniNDP: A Unified Compilation and Simulation Tool for Near DRAM Processing Architectures.
HPCA
Tongxin Xie, Zhenhua Zhu, Bing Li, Yukai He, Cong Li, Guangyu Sun, Huazhong Yang, Yuan Xie, Yu Wang
2024 J jnl
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yintao He, Bing Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
2024 — conf
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators.
ASPLOS (2)
Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang
2024 J jnl
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators.
CoRR
Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang
2024 A* conf
Chiplever: Towards Effortless Extension of Chiplet-based System for FHE.
DAC
Yibo Du, Ying Wang, Bing Li, Fuping Li, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han
2024 A conf
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator.
DATE
Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
2024 J jnl
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation.
CoRR
Yilun Zhao, Bingmeng Wang, Wenle Jiang, Xiwei Pan, Bing Li, Yinhe Han, Ying Wang
2023 J jnl
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Songyun Qu, Bing Li, Shixin Zhao, Lei Zhang, Ying Wang
2023 A conf
Full State Quantum Circuit Simulation Beyond Memory Limit.
ICCAD
Yilun Zhao, Yu Chen, He Li, Ying Wang, Kaiyan Chang, Bingmeng Wang, Bing Li, Yinhe Han
2023 J jnl
NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration.
Sci. China Inf. Sci.
Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao
2023 A* conf
Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search.
DAC
Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang
2023 — conf
SRAM-Based Processing-In-Memory Design with Kullback-Leibler Divergence-Based Dynamic Precision Quantization.
ACM Great Lakes Symposium on VLSI
Yanjun Li, Chunshan Zu, Bingqian Wang, Zhenhua Zhu, Yaojun Zhang, Ran Duan, Bing Li, Bonan Yan
2023 J jnl
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang
2023 J jnl
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System.
CoRR
Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang
2022 J jnl
An Automated Quantization Framework for High-Utilization RRAM-Based PIM.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Bing Li, Songyun Qu, Ying Wang
2022 A* conf
InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs.
DAC
Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li
2022 — conf
MOM: Microphone based 3D Orientation Measurement.
IPSN
Zhihui Gao, Ang Li, Dong Li, Jialin Liu, Jie Xiong, Yu Wang, Bing Li, Yiran Chen
2022 J jnl
NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration.
CoRR
Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao
2022 — conf
Security Threat to the Robustness of RRAM-based Neuromorphic Computing System.
iSES
Bing Li, Hao Lv, Ying Wang, Yiran Chen
2021 A* conf
ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator.
DAC
Songyun Qu, Bing Li, Ying Wang, Lei Zhang
2021 — conf
FeFET-based Process-in-Memory Architecture for Low-Power DNN Training.
NANOARCH
Farzaneh Zokaee, Bing Li, Fan Chen
2021 A conf
FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System.
ICCAD
Zhihui Gao, Ang Li, Yunfan Gao, Bing Li, Yu Wang, Yiran Chen
2021 — conf
MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design.
ACM Great Lakes Symposium on VLSI
Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang
2021 — conf
Tenet: A Neural Network Model Extraction Attack in Multi-core Architecture.
ACM Great Lakes Symposium on VLSI
Chengsi Gao, Bing Li, Ying Wang, Weiwei Chen, Lei Zhang
2021 — conf
VADER: Leveraging the Natural Variation of Hardware to Enhance Adversarial Attack.
ASP-DAC
Hao Lv, Bing Li, Ying Wang, Cheng Liu, Lei Zhang
2020 J jnl
3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks.
ACM J. Emerg. Technol. Comput. Syst.
Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Joe X. Qiu, Hai (Helen) Li
2020 A conf
A Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning.
ICCAD
Ying Wang, Mengdi Wang, Bing Li, Huawei Li, Xiaowei Li
2020 A conf
HitM: High-Throughput ReRAM-based PIM for Multi-Modal Neural Networks.
ICCAD
Bing Li, Ying Wang, Yiran Chen
2020 J jnl
RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ziru Li, Bing Li, Zichen Fan, Hai Li
2020 A* conf
RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator.
DAC
Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang
2019 — conf
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications.
ACM Great Lakes Symposium on VLSI
Bing Li, Bonan Yan, Hai Li
2019 J jnl
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications.
CoRR
Bing Li, Bonan Yan, Hai Li
2019 — conf
Build reliable and efficient neuromorphic design with memristor technology.
ASP-DAC
Bing Li, Bonan Yan, Chenchen Liu, Hai (Helen) Li
2019 — conf
Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse.
SiPS
Chunpeng Wu, Ang Li, Bing Li, Yiran Chen
2019 C conf
Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse.
ISCAS
Qilin Zheng, Jian Kang, Zongwei Wang, Yimao Cai, Ru Huang, Bing Li, Yiran Chen, Hai Helen Li
2019 — conf
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks.
AICAS
Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen
2019 J jnl
PUFPass: A password management mechanism based on software/hardware codesign.
Integr.
Qingli Guo, Jing Ye, Bing Li, Yu Hu, Xiaowei Li, Yazhu Lan, Guohe Zhang
2019 A conf
RED: A ReRAM-based Deconvolution Accelerator.
DATE
Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li
2019 J jnl
RED: A ReRAM-based Deconvolution Accelerator.
CoRR
Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li
2019 A conf
REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs.
DATE
Biresh Kumar Joardar, Bing Li, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty
2019 J jnl
Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives.
Adv. Intell. Syst.
Bonan Yan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng-Fan Chang, Yiran Chen, Hai Helen Li
2019 J jnl
Thread Batching for High-performance Energy-efficient GPU Memory Design.
CoRR
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai Helen Li
2019 J jnl
Thread Batching for High-performance Energy-efficient GPU Memory Design.
ACM J. Emerg. Technol. Comput. Syst.
Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li
2018 C conf
Design and Data Management for Magnetic Racetrack Memory.
ISCAS
Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen, Hai Li
2018 A conf
ReRAM-based accelerator for deep learning.
DATE
Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li
2018 — conf
Running sparse and low-precision neural network: When algorithm meets hardware.
ASP-DAC
Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li
2017 J jnl
Power-Utility-Driven Write Management for MLC PCM.
ACM J. Emerg. Technol. Comput. Syst.
Bing Li, Yu Hu, Ying Wang, Jing Ye, Xiaowei Li
2014 A conf
Partial-SET: Write speedup of PCM main memory.
DATE
Bing Li, Shuchang Shan, Yu Hu, Xiaowei Li
2014 — conf
Short-SET: An energy-efficient write scheme for MLC PCM.
NVMSA
Bing Li, Yu Hu, Xiaowei Li
2013 C conf
Tolerating Noise in MLC PCM with Multi-Bit Error Correction Code.
PRDC
Bing Li, Shuchang Shan, Yu Hu, Xiaowei Li