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A 28-nm 18.7 TOPS/mm 2 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh Journal article
Zhan, Yi, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. A 28-nm 18.7 TOPS/mm 2 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh[J]. IEEE Journal of Solid-State Circuits, 2024, 59(11), 3866-3876.
Authors:  Zhan, Yi;  Yu, Wei Han;  Un, Ka Fai;  Martins, Rui P.;  Mak, Pui In
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/05/16
Compute-in-memory (Cim)  Deep Neural Network (Dnn)  Embedded Dynamic Random Access Memory (Edram)  Input-sparsity  Single-finger (Sf)  Weight Update/refresh  
P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer Journal article
Fu, Xiangqu, Ren, Qirui, Wu, Hao, Xiang, Feibin, Luo, Qing, Yue, Jinshan, Chen, Yong, Zhang, Feng. P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2023, 70(12), 4938-4948.
Authors:  Fu, Xiangqu;  Ren, Qirui;  Wu, Hao;  Xiang, Feibin;  Luo, Qing; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:5.2/4.5 | Submit date：2024/02/22
Accelerator  Cmos  Computing-in-memory (Cim)  Dynamic Prune  Prediction Network  Vision Transformer (Vit)  
Deep Dynamic Memory Augmented Attentional Dictionary Learning for Image Denoising Journal article
Zhou,Zheng, Chen,Yongyong, Zhou,Yicong. Deep Dynamic Memory Augmented Attentional Dictionary Learning for Image Denoising[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(9), 4784-4797.
Authors:  Zhou,Zheng;  Chen,Yongyong;  Zhou,Yicong
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.3/7.1 | Submit date：2023/08/03
Dynamic Memory  Attention  Dictionary Learning  Residual Connection  Image Denoising  
High-Speed and Time-Interleaved ADCs Using Additive-Neural-Network-Based Calibration for Nonlinear Amplitude and Phase Distortion Journal article
Zhai, Danfeng, Jiang, Wenning, Jia, Xinru, Lan, Jingchao, Guo, Mingqiang, Sin, Sai Weng, Ye, Fan, Liu, Qi, Ren, Junyan, Chen, Chixiao. High-Speed and Time-Interleaved ADCs Using Additive-Neural-Network-Based Calibration for Nonlinear Amplitude and Phase Distortion[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2022, 69(12), 4944-4957.
Authors:  Zhai, Danfeng;  Jiang, Wenning;  Jia, Xinru;  Lan, Jingchao;  Guo, Mingqiang; et al.
Adobe PDF | Favorite | TC[WOS]:12 TC[Scopus]:15  IF:5.2/4.5 | Submit date：2023/01/30
Analog-to-digital Converter (Adc)  Nonlinear Digital Calibration  Neural Network  Static And Dynamic Calibrations  Compute-in-memory  
A 108 F2/Bit Fully Reconfigurable RRAM PUF Based on Truly Random Dynamic Entropy of Jitter Noise Journal article
Zhao,Qiang, Zheng,Wenhan, Zhao,Xiaojin, Cao,Yuan, Zhang,Feng, Law,Man Kay. A 108 F2/Bit Fully Reconfigurable RRAM PUF Based on Truly Random Dynamic Entropy of Jitter Noise[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2020, 67(11), 3866-3879.
Authors:  Zhao,Qiang;  Zheng,Wenhan;  Zhao,Xiaojin;  Cao,Yuan;  Zhang,Feng; et al.
Favorite | TC[WOS]:25 TC[Scopus]:26  IF:5.2/4.5 | Submit date：2021/03/11
Dynamic Entropy Source  Full Reconfigurability  High Reliability  Physical Unclonable Function  Resistive Random Access Memory  True Random Number Generator  
Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study Journal article
Haijing Niu, Zhaojun Zhu, Mengjing Wan, Xuanyu Li, Zhen Yuan, Yu Sun, Ying Han. Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study[J]. Neurophotonics, 2019, 6(2), 025010.
Authors:  Haijing Niu;  Zhaojun Zhu;  Mengjing Wan;  Xuanyu Li;  Zhen Yuan; et al.
Adobe PDF | Favorite | TC[WOS]:32 TC[Scopus]:32 | Submit date：2022/08/21
CommunicAtion WithIn The BraIn Is Highly Dynamic. AlzheI.e.’s dIseAse (Ad) ExhibIts Dynamic.progression COrrespondIng To a DeclIne In MemOry And Cognition. HoWever, Little Is Known Of wheTher BraIn Dynamic. Are dIsrupted In Ad And Its Prodromal Stage, Mild CognitI.e.impairment (Mci). FOr Our Study, We AcquI.e. High samplIng RAte Functional near-InfrAred Spectroscopy imagIng DAta At Rest From The EntI.e.cOrtex Of 23 pAtients With Ad Dementia, 25 pAtients With Amnestic Mild CognitI.e.impairment (aMci), And 30 age-mAtched Healthy Controls (Hcs). slidIng-wIndow cOrrelAtion And K-means clusterIng Analyses Were Used To Construct Dynamic.Functional Connectivity (Fc) Maps FOr Each Participant. We dIscovered thAt The BraIn’s Dynamic.Fc Variability Strength (q) Significantly IncreAsed In Both aMci And Ad Group As compAred To Hcs. usIng The q Value As a meAsurement, The clAssificAtion perFOrmance ExhibI.e. a Good poWer In differentiAtIng aMci [Area Under The Curve (Auc ¼ 82.5%)] Or Ad (Auc ¼ 86.4%) From Hcs. furThermOre, We Identified Two abnOrmal BraIn Fc stAtes In The Ad Group, Of Which The Occurrence Frequency (f) ExhibI.e. a Significant decreAse FOr The First-level Fc stAte (stAte 1) And a Significant IncreAse FOr The Second-level Fc stAte (stAte 2). We Also Found thAt The abnOrmal f In These Two stAtes Significantly cOrrelAted With The CognitI.e.impairment In pAtients. These fIndIngs provI.e.The First EvI.e.ce To demonstRAte The dIsruptions Of Dynamic.BraIn Connectivity In aMci And Ad And Extend The trAditional stAtic (I.e., tI.e.averaged) Fc fIndIngs In The dIseAse (I.e., dIsconnection Syndrome) And Thus provI.e.Insights InTo UnderstAndIng The pAthophysiological mechanIsms occurrIng In aMci And Ad.  
Optimizing data loading and memory allocation for out-of-core simplification Journal article
Wang H., Cai K., Wang W., Wu E.. Optimizing data loading and memory allocation for out-of-core simplification[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2005, 17(8), 1736-1743.
Authors:  Wang H.;  Cai K.;  Wang W.;  Wu E.
Favorite |  | Submit date：2019/02/13
Dynamic optimization  I/O  Memory allocation  Out-of-core simplification