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Comprehensive Parameter Optimization using Empowered and Lightweight Surrogate Model
Journal article
Yang, Qifan, Huang, Dihong, Chen, Yong, Dai, Ningyi. Comprehensive Parameter Optimization using Empowered and Lightweight Surrogate Model[J]. IEEE Transactions on Power Electronics, 2024, 39(10), 12124-12129.
Authors:
Yang, Qifan
;
Huang, Dihong
;
Chen, Yong
;
Dai, Ningyi
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
6.6
/
6.9
|
Submit date:2024/05/16
Control Parameter Tuning
Simulation
Soft Open Point (Sop)
Surrogate Model
Area-efficient ultra-wide-tuning-range ring oscillators in 65-nm complementary metal–oxide–semiconductor
Journal article
Yang, Chaowei, Chen, Yong, Cheng, Kai, Stefano, Crovetti Paolo, Martins, Rui P., Mak, Pui In. Area-efficient ultra-wide-tuning-range ring oscillators in 65-nm complementary metal–oxide–semiconductor[J]. International Journal of Circuit Theory and Applications, 2024.
Authors:
Yang, Chaowei
;
Chen, Yong
;
Cheng, Kai
;
Stefano, Crovetti Paolo
;
Martins, Rui P.
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
1.8
/
1.7
|
Submit date:2024/08/05
Clock And Data Recovery (Cdr)
Cmos Figure-of-merit (Fom)
Figure-of-merit With Tuning And Area (Fomta)
Figure-of-merit With Tuning Range (Fomt)
Flicker (1/f)
Noise Noise Transfer Phase Noise (Pn)
Phase-locked Loop (Pll)
Quality Factor Switched-capacitor Array (Sca)
Thermal Noise Transformer Tuning Range (Tr)
Ultra-wide-tuning-range Voltage-controlled Oscillator (Vco)
A Switchless Dual-core Triple-Mode VCO Achieving 7.1-to-15.7 GHz Frequency Tuning Range and 202.1 dBc/Hz Peak FoM at 3.7 Kelvin
Conference paper
Yue Wu#,, PENG YATAO, Benhao Huo, Jun Yin, Rui P. Martins, Pui In Mak. A Switchless Dual-core Triple-Mode VCO Achieving 7.1-to-15.7 GHz Frequency Tuning Range and 202.1 dBc/Hz Peak FoM at 3.7 Kelvin[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 243 - 246.
Authors:
Yue Wu#,
;
PENG YATAO
;
Benhao Huo
;
Jun Yin
;
Rui P. Martins
; et al.
Adobe PDF
|
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/07/08
Cryogenic Cmos
Frequency Tuning Range
Mode-switching
Quantum Interface
Switch-less
Vco
A 12.9-to-24 GHz Dual-Mode Multi-Coil VCO Achieving 199.2 dBc/Hz Peak FoMT in 65-nm CMOS
Journal article
Zhao, Ya, Fan, Chao, Peng, Yuanxing, Liang, Chenglong, Yin, Jun, Mak, Pui In, Geng, Li. A 12.9-to-24 GHz Dual-Mode Multi-Coil VCO Achieving 199.2 dBc/Hz Peak FoMT in 65-nm CMOS[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2024, 71(5), 2604-2608.
Authors:
Zhao, Ya
;
Fan, Chao
;
Peng, Yuanxing
;
Liang, Chenglong
;
Yin, Jun
; et al.
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
4.0
/
3.7
|
Submit date:2024/05/16
Couplings
Dual-core
Dual-mode
Frequency Tuning Range (Ftr)
Inductance
Layout
Millimeter-wave (Mm-wave)
Mode-switching
Multi-coil
Phase Noise (Pn)
Transformer Cores
Transformers
Tuning
Voltage-controlled Oscillator (Vco)
Voltage-controlled Oscillators
Towards accurate knowledge transfer via target-awareness representation disentanglement
Journal article
Li, Xingjian, Hu, Di, Li, Xuhong, Xiong, Haoyi, Xu, Chengzhong, Dou, Dejing. Towards accurate knowledge transfer via target-awareness representation disentanglement[J]. Machine Learning, 2023, 113(2), 699-723.
Authors:
Li, Xingjian
;
Hu, Di
;
Li, Xuhong
;
Xiong, Haoyi
;
Xu, Chengzhong
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.3
/
5.8
|
Submit date:2024/02/22
Fine-tuning
Representation Disentanglement
Transfer Learning
A method and device for transfer learning
Patent
专利类型: 发明专利Invention,
Authors:
Xingjian Li
;
Hang Hua
;
Chengzhong Xu
;
Dejing Dou
Favorite
|
|
Submit date:2022/08/29
Transfer Learning
Fine-tuning
Regularization
Noise Stability
Transformer
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization
Journal article
Hua, Hang, Li, Xingjian, Dou, Dejing, Xu, Cheng Zhong, Luo, Jiebo. Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-15.
Authors:
Hua, Hang
;
Li, Xingjian
;
Dou, Dejing
;
Xu, Cheng Zhong
;
Luo, Jiebo
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
10.2
/
10.4
|
Submit date:2024/02/22
Domain Generalization
Fine-tuning
In-domain Generalization
Pretrained Language Models (Plms)
Regularization
Semi-supervised transfer learning with hierarchical self-regularization
Journal article
Li, Xingjian, Abuduweili, Abulikemu, Shi, Humphrey, Yang, Pengkun, Dou, Dejing, Xiong, Haoyi, Xu, Chengzhong. Semi-supervised transfer learning with hierarchical self-regularization[J]. Pattern Recognition, 2023, 144, 109831.
Authors:
Li, Xingjian
;
Abuduweili, Abulikemu
;
Shi, Humphrey
;
Yang, Pengkun
;
Dou, Dejing
; et al.
Favorite
|
TC[WOS]:
5
TC[Scopus]:
8
IF:
7.5
/
7.6
|
Submit date:2023/09/21
Adaptive Sample Selection
Deep Learning
Fine-tuning
Hierarchical Consistency
Semi-supervised Learning
Transfer Learning
A 9.97-GHz 190.6-dBc/Hz FOM CMOS VCO Featuring Nested Common-Mode Resonator and Intrinsic Differential 2nd-Harmonic Output
Conference paper
Huang, Yunbo, Chen, Yong, Yang, Chaowei, Mak, Pui In, Martins, Rui P.. A 9.97-GHz 190.6-dBc/Hz FOM CMOS VCO Featuring Nested Common-Mode Resonator and Intrinsic Differential 2nd-Harmonic Output[C], USA:Institute of Electrical and Electronics Engineers Inc., 2023.
Authors:
Huang, Yunbo
;
Chen, Yong
;
Yang, Chaowei
;
Mak, Pui In
;
Martins, Rui P.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2024/02/23
1/f3pn Corner
Cmos
Common-mode (Cm) Resonance
Figure-of-merit (Fom)
Flicker (1/f) Noise
Impulse Sensitivity Function (Isf)
Noise Transfer
Phase Noise (Pn)
Quality Factor
Thermal Noise
Tuning Range (Tr)
Voltage-controlled Oscillator (Vco)
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information
Conference paper
Li, Jicun, Li, Xingjian, Wang, Tianyang, Wang, Shi, Cao, Yanan, Xu, Chengzhong, Dou, Dejing. Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information[C]:Institute of Electrical and Electronics Engineers Inc., 2023.
Authors:
Li, Jicun
;
Li, Xingjian
;
Wang, Tianyang
;
Wang, Shi
;
Cao, Yanan
; et al.
Favorite
|
TC[Scopus]:
1
|
Submit date:2024/02/22
Fine-tuning Stability
Mutual Information
Pre-trained Language Model