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A 5T-SRAM Based Computing-in-Memory Macro Featuring Partial Sum Boosting and Analog Non-Uniform Quantization Conference paper
Xin, Guoqiang, Tan, Fei, Li, Junde, Chen, Junren, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. A 5T-SRAM Based Computing-in-Memory Macro Featuring Partial Sum Boosting and Analog Non-Uniform Quantization[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 882-887.
Authors:  Xin, Guoqiang;  Tan, Fei;  Li, Junde;  Chen, Junren;  Yu, Wei Han; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
5t-sram  Analog Non-uniform Quantization (Anuq)  Computing-in-memory (Clm)  Machine Learning (Ml)  Matrix-vector Multiplication (Mvm)  Partial Sum Boosting (Psb)  
Boosting Image Restoration via Priors from Pre-Trained Models Conference paper
Xu, Xiaogang, Kong, Shu, Hu, Tao, Liu, Zhe, Bao, Hujun. Boosting Image Restoration via Priors from Pre-Trained Models[C]:IEEE Computer Society, 2024, 2900-2909.
Authors:  Xu, Xiaogang;  Kong, Shu;  Hu, Tao;  Liu, Zhe;  Bao, Hujun
Favorite | TC[Scopus]:2 | Submit date：2024/11/05
Computer Vision  Shape  Computational Modeling  Noise Reduction  Training Data  Boosting  Data Models  Pre-trained Models  Image Restoration  Spatial-varying Enhancement  Channel-spatial Attention  
Construction and optimization of small and medium-sized enterprise evaluation model based on genetic algorithm and gradient boosting regression tree Conference paper
Ma, Yuelong, Lai, Pengyu, Wan, Takhei, Zhu, Jun. Construction and optimization of small and medium-sized enterprise evaluation model based on genetic algorithm and gradient boosting regression tree[C], New York, NY, USA:Association for Computing Machinery, 2024, 172-176.
Authors:  Ma, Yuelong;  Lai, Pengyu;  Wan, Takhei;  Zhu, Jun
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Genetic Algorithm  Gradient Boosting Regression Tree  Performance Metrics  Small And Medium-sized Enterprise Share Transfer Information System  
What key contextual factors contribute to students’ reading literacy among top-performing countries and economies? Statistical and machine learning analyses Journal article
Bu Yujia, Chen Fu. What key contextual factors contribute to students’ reading literacy among top-performing countries and economies? Statistical and machine learning analyses[J]. International Journal of Educational Research, 2023, 122, 102267.
Authors:  Bu Yujia;  Chen Fu
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:2.6/3.2 | Submit date：2024/01/02
Machine Learning  Reading Literacy  Sharpley Decomposition  Gradient Boosting Decision Tree  Contextual Factors  Metacognitive Strategies  
Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling Journal article
Xiao, Ling, Li, Miaotong, Zhang, Shenghui. Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling[J]. Energy Reports, 2022, 8, 6672-6686.
Authors:  Xiao, Ling;  Li, Miaotong;  Zhang, Shenghui
Favorite | TC[WOS]:15 TC[Scopus]:16  IF:4.7/5.0 | Submit date：2022/08/02
Adaptive Boosting Algorithm  Extreme Learning Machine  Nonparametric Bootstrap Sampling  Power Load Interval Forecasting  
A 6-to-7.5-GHz 54-fsrmsJitter Type-II Reference-Sampling PLL Featuring a Gain-Boosting Phase Detector for In-Band Phase-Noise Reduction Journal article
Xu, Tailong, Zhong, Shenke, Yin, Jun, Mak, Pui In, Martins, Rui P.. A 6-to-7.5-GHz 54-fsrmsJitter Type-II Reference-Sampling PLL Featuring a Gain-Boosting Phase Detector for In-Band Phase-Noise Reduction[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2022, 69(12), 4774-4786.
Authors:  Xu, Tailong;  Zhong, Shenke;  Yin, Jun;  Mak, Pui In;  Martins, Rui P.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:5.2/4.5 | Submit date：2023/01/30
Gain-boosting  Low Jitter  Low Phase Noise  Phase-locked Loop (Pll)  Reference Spur  Reference-sampling Phase Detector (Rspd)  Sampling Phase Detector (Spd)  Sub-sampling Phase Detector (Sspd)  Switched-capacitor Voltage Multiplier  
A 35-to-50 GHz CMOS Low-Noise Amplifier with 22.2% -1-dB Fractional Bandwidth and 30.5-dB Maximum Gain for 5G New Radio Conference paper
Wei, Dong, Wu, Tianxiang, Ma, Shunli, Chen, Yong, Ren, Junyan. A 35-to-50 GHz CMOS Low-Noise Amplifier with 22.2% -1-dB Fractional Bandwidth and 30.5-dB Maximum Gain for 5G New Radio[C], NEW YORK, USA:Institute of Electrical and Electronics Engineers Inc., 2021, 195-198.
Authors:  Wei, Dong;  Wu, Tianxiang;  Ma, Shunli;  Chen, Yong;  Ren, Junyan
Favorite | TC[WOS]:7 TC[Scopus]:9 | Submit date：2021/12/08
Low-noise Amplifier (Lna)  Noise Figure (Nf)  Cmos  Transformer  Gm Boosting  Gain Flatness  Magnetically Coupling Resonator  Fractional Bandwidth (Bw)  5g New Radio  Ieee 802.11aj  Common Source  Common Gate  Noise Factor  
A 0.35-V 5,200-μm² 2.1-MHz Temperature- Resilient Relaxation Oscillator With 667 fJ/Cycle Energy Efficiency Using an Asymmetric Swing-Boosted RC Network and a Dual-Path Comparator Journal article
Ka-Meng Lei, Pui-In Mak, Rui P. Martins. A 0.35-V 5,200-μm² 2.1-MHz Temperature- Resilient Relaxation Oscillator With 667 fJ/Cycle Energy Efficiency Using an Asymmetric Swing-Boosted RC Network and a Dual-Path Comparator[J]. IEEE Journal of Solid-State Circuits, 2021, 56(9), 2701 - 2710.
Authors:  Ka-Meng Lei;  Pui-In Mak;  Rui P. Martins
Favorite | TC[WOS]:21 TC[Scopus]:28  IF:4.6/5.6 | Submit date：2021/09/20
Asymmetric Rc Network  Circuit Stability  Cmos  Energy-harvesting  Internet-of-things (Iot)  Logic Gates  Mos Devices  Oscillators  Relaxation Oscillator (Rxo)  Resilience  Stability Criteria  Swing-boosting  Temperature Resilience  Thermal Stability  Ultra-low-power  Ultra-low-voltage (Ulv).  
A Stable AI-Based Binary and Multiple Class Heart Disease Prediction Model for IoMT Journal article
Yuan Xiaoming, Chen Jiahui, Zhang Kuan, Wu Yuan, Yang Tingting. A Stable AI-Based Binary and Multiple Class Heart Disease Prediction Model for IoMT[J]. IEEE Transactions on Industrial Informatics, 2021, 18(3), 2032-2040.
Authors:  Yuan Xiaoming;  Chen Jiahui;  Zhang Kuan;  Wu Yuan;  Yang Tingting
Favorite | TC[WOS]:38 TC[Scopus]:71  IF:11.7/11.4 | Submit date：2022/03/28
Fuzzy Logic  Gradient Boosting Decision Tree (Gbdt)  Heart Disease Predication And Diagnosis  Internet Of Medical Things (Iomt)  Machine Learning  
On the Benefits of Two Dimensional Metric Learning Journal article
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan. On the Benefits of Two Dimensional Metric Learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 35(2), 1909-1921.
Authors:  Di Wu;  Fan Zhou;  Boyu Wang;  Qicheng Lao;  Chi Man Wong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2022/05/13
Two Dimensional Learning  Metric Learning  Rademacher Complexity  Boosting  Low-rank Matrices