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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learningdomain-invariant representations.First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, toBesides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: The challenge of is that the source domains and target domain lack cross-domain collaboration duringof source models, while the domain gap will lead to limited adaptation performance from source modelsOn the labeled source domain, the source model tends to overfit its domain data in the scenario, whichOn the target domain, we train the local target model by distilling supervision knowledge and fully usingthe domain adaptation performance under the scenario.

Keywords： Multi-source domain adaptation     Data decentralization     Domain shift     Negative transfer    

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Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), anew unsupervised domain adaptation algorithm which adapts an existing deep network through additiveThe corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasingLDC requires no target labels, achieves state-of-the-art performance across several adaptation benchmarks, and requires significantly less training time than existing adaptation methods.

Keywords： Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

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Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 940-956 doi: 10.1631/FITEE.1500067

Abstract: Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

Keywords： NER corpora     Chinese Wikipedia     Entity classification     Domain adaptation     Corpus selection    

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Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 446-455 doi: 10.1007/s11708-009-0042-9

Abstract: method and the other using a Genetic Algorithm-based adaptation approach.The advantages and disadvantages of the two adaptation methods have been compared with each other.The two adaptation approaches have been applied to a model gas turbine engine.The comparison of the two adaptation methods shows that the nonlinear matrix inverse method is fasterand more accurate, while the genetic algorithm-based adaptation method is more robust but slower.

Keywords： gas turbine     engine     performance adaptation     performance matching     design-point performance simulation     influence    

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Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 173-179 doi: 10.1007/s11709-009-0034-1

Abstract: method and a frequency-domain method.It was shown that all the flutter derivatives of the thin-plate model identified with the frequency-domainmethod and time-domain method, respectively, agree very well.More precisely, the frequency-domain method usually results in smooth curves of the flutter derivativesThe formulation of time-domain method makes the identification results of flutter derivatives relatively

Keywords： long-span bridges     wind-induced vibration     flutter derivatives     forced vibration test     time-domain method     frequency-domain method    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichcan serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis.However, the performance of these methods degrades when they face domain-specific datasets.To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Damage identification in connections of moment frames using time domain responses and an optimization

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 851-866 doi: 10.1007/s11709-021-0739-3

Abstract: study, an optimization-based method for joint damage identification of moment frames using the time-domain

Keywords： damage identification     beam-to-column connection     time-domain response     optimization    

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Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Frontiers in Energy 2009, Volume 3, Issue 2,   Pages 123-133 doi: 10.1007/s11708-009-0033-x

Abstract: Laser spectroscopy in the visible and near infrared is widely used as a diagnostic tool for combustion devices, but this approach is difficult at high pressures within a sooty flame itself. High soot concentrations render flames opaque to visible light, but they remain transparent to far-infrared or terahertz (THz) radiation. The first far-infrared absorption spectra, to the best of our knowledge, of sooty, non-premixed, ethylene high-pressure flames covering the region of 0.2-2.5 THz is presented. A specially designed high-pressure burner which is optically accessible to THz radiation has been built allowing flame transmission measurements up to pressures of 1.6 MPa. Calculations of the theoretical combustion species absorption spectra in the 0.2-3 THz range have shown that almost all the observable features arise from H O. A few OH (1.84 and 2.51 THz), CH (2.58 THz), and NH (1.77 and 2.95 THz) absorption lines are also observable in principle. A large number of H O absorption lines are observed in the ground vibrational in a laminar non-premixed, sooty flame (ethylene) at pressures up to 1.6 MPa.

Keywords： terahertz time-domain spectroscopy     high-pressure flames     H2O absorption lines    

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framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 10-24 doi: 10.1007/s11709-022-0904-3

Abstract: Then, the domain reduction method was employed to reproduce the wavefield in the numerical model of the

Keywords： underground structures     seismic response     stiffness matrix method     domain reduction method     P-SV waves    

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Comments on “Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate

Antje SCHWALB

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4,   Pages 443-444 doi: 10.15302/J-FASE-2019288

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Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract: Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems

Keywords： active vibration control (AVC)     neural network (NN)     low frequency noise     frequency domain control     multi-frequency    

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Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: Like electrical resistivity which has been historically used as a theory for analyzing structural domaindefect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects and domainFrom the residual thermal reffusivity at the 0 K limit, the structural thermal domain (STD) size of crystalline

Keywords： thermal reffusivity theory     phonon behavior     structure defects     structural thermal domain (STD) size     2D    

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FERM domain-containing protein FRMD6 activates the mTOR signaling pathway and promotes lung cancer progression

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 714-728 doi: 10.1007/s11684-022-0959-5

Abstract: FRMD6, a member of the 4.1 ezrin–radixin–moesin domain-containing protein family, has been reported to

Keywords： FRMD6     lung cancer     mTOR pathway    

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Analytical method of capsizing probability in the time domain for ships in the random beam seas

LIU Liqin, TANG Yougang, LI Hongxia

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 361-366 doi: 10.1007/s11709-007-0048-5

Abstract: The random rolling differential equation was solved in the time domain by applying the harmonic acceleration

Keywords： different     survival probability     different significant     nonlinear differential     narrowband    

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Title Author Date Type Operation

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Dual collaboration for decentralized multi-source domain adaptation

Yikang WEI, Yahong HAN

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article

Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article

Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Journal Article

Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Damage identification in connections of moment frames using time domain responses and an optimization

Journal Article

Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Journal Article

framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Journal Article

Comments on “Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate

Antje SCHWALB

Journal Article

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Journal Article

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Journal Article

FERM domain-containing protein FRMD6 activates the mTOR signaling pathway and promotes lung cancer progression

Journal Article

Analytical method of capsizing probability in the time domain for ships in the random beam seas

LIU Liqin, TANG Yougang, LI Hongxia

Journal Article