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SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2026, 卷号: 75, 期号: 3, 页码: 916-927
作者:  Zhao, Yilun;  Wang, Bingmeng;  Jiang, Wenle;  Pan, Xiwei;  Li, Bing;  Han, Yinhe;  Wang, Ying
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Quantum state  Qubit  Training  Runtime  Optimization  Encoding  Iterative methods  Vectors  Quantum circuit  Quantum algorithm  Quantum state preparation  performance optimization  
HARLD: A RISC-V Based Tightly Coupled Heterogeneous Computing Architecture for Low-Density Parity Check Decoding 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2026, 页码: 17
作者:  Wang, Bing;  Ma, Zi-Rui;  Wu, Hai-Bin;  Zhang, Fu-Lin;  Yue Wang, Yue Wang;  Fan, Zhi-Hua;  Li, Wen-Ming;  Ye, Xiao-Chun;  Fan, Dong-Rui
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
tightly coupled heterogeneous computing architecture  low-density parity check (LDPC) decoding  RISC-V extension  
3D Spatial Learning for Adsorption Energy Prediction in Multi-Temporal Solution Systems: The MTSS Data Set and a GCN-Based Network 期刊论文
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2025, 页码: 13
作者:  Li, Lanqi;  Luo, Rui;  Chen, Xiaolu;  Wei, Huapeng;  Zhang, Wenming;  Lu, Qiang;  Dong, Weiming;  Lu, Jianmei;  Zhang, Bing;  Tang, Fan
收藏  |  浏览/下载：22/0  |  提交时间：2025/12/03
Global Analysis of Protein and Small-Molecule Substrates of Ubiquitin-Like Proteins 期刊论文
MOLECULAR & CELLULAR PROTEOMICS, 2025, 卷号: 24, 期号: 7, 页码: 20
作者:  Shao, Guang-Can;  Chen, Zhen-Lin;  Lu, Shan;  Wu, Qing-Cui;  Sheng, Yao;  Wang, Jing;  Ma, Yan;  Sui, Jian-Hua;  Chi, Hao;  Qi, Xiang-Bing;  He, Si-Min;  Du, Li-Lin;  Dong, Meng-Qiu
收藏  |  浏览/下载：24/0  |  提交时间：2025/12/03
Attar: RRAM-based in-memory attention accelerator with software-hardware co-optimization 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2025, 卷号: 68, 期号: 3, 页码: 17
作者:  Li, Bing;  Qi, Ying;  Wang, Ying;  Han, Yinhe
收藏  |  浏览/下载：34/0  |  提交时间：2025/06/25
RRAM  computing-in-memory  attention  pruning  quantization  
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:  He, Yintao;  Li, Bing;  Wang, Ying;  Liu, Cheng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：88/0  |  提交时间：2024/12/06
Task analysis  Sparse matrices  Convolution  Convolutional neural networks  Design automation  Neural networks  Integrated circuits  Graph convolutional network  hardware acceleration  processing-in-memory  
Soft Error Reliability Analysis of Vision Transformers 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 页码: 11
作者:  Xue, Xinghua;  Liu, Cheng;  Wang, Ying;  Yang, Bing;  Luo, Tao;  Zhang, Lei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：72/0  |  提交时间：2023/12/04
ABFT  fault-tolerance  soft errors  vision transformers (ViTs)  vulnerability analysis  
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 7, 页码: 2364-2376
作者:  Qu, Songyun;  Li, Bing;  Zhao, Shixin;  Zhang, Lei;  Wang, Ying
收藏  |  浏览/下载：61/0  |  提交时间：2023/12/04
AutoML  bit-pruning  deep neural networks (DNNs)  resistive random access memory (RRAM)  
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1588-1596
作者:  Lv, Hao;  Li, Bing;  Zhang, Lei;  Liu, Cheng;  Wang, Ying
收藏  |  浏览/下载：64/0  |  提交时间：2023/12/04
Security  Hardware  Neuromorphic engineering  Computational modeling  Circuit faults  Resistance  Immune system  Adversarial attack  fault injection attack  neuromorphic computing system (NCS)  processing in memory  reliability  resistive memory  
An Automated Quantization Framework for High-Utilization RRAM-Based PIM 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 3, 页码: 583-596
作者:  Li, Bing;  Qu, Songyun;  Wang, Ying
收藏  |  浏览/下载：79/0  |  提交时间：2022/12/07
Quantization (signal)  Neural networks  Computational modeling  Data models  Hardware  Resource management  Arrays  AutoML  neural network  processing-in-memory (PIM)  quantization  resistive memory (RRAM)