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Preference transfer model in collaborative filtering for implicit data Project supported by Article

Bin JU,Yun-tao QIAN,Min-chao YE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 489-500 doi: 10.1631/FITEE.1500313

Abstract: Traditionally, the prediction uses the user item co-occurrence data based on users’ buying behaviors.demonstrate that the proposed preference transfer model outperforms the other methods on the Alibaba Tmall data

Keywords： Recommender systems     Collaborative filtering     Preference transfer model     Cross domain     Implicit data    

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An isogeometric numerical study of partially and fully implicit schemes for transient adjoint shape sensitivity

Zhen-Pei WANG, Zhifeng XIE, Leong Hien POH

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 279-293 doi: 10.1007/s11465-019-0575-5

Abstract: It is found that (i) the explicit approach ( = 0) and semi-implicit approach with <0.5 impose a strictstability condition of the transient analysis; (ii) the implicit approach ( =1) and semi-implicit approachcondition is much less critical than the Crank–Nicolson scheme, and the accuracy is higher than a fully implicit

Keywords： isogeometric shape optimization     design-dependent boundary condition     transient heat conduction     implicit    

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Analysis of molten metal spreading and solidification behaviors utilizing moving particle full-implicit

Frontiers in Energy 2021, Volume 15, Issue 4,   Pages 959-973 doi: 10.1007/s11708-021-0753-0

Abstract: In the numerical analysis, the moving particle full-implicit method (MPFI), which is one of the particle

Keywords： molten metal spreading     solidification     particle method     severe accident     fuel debris     decommissioning    

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A novel confidence estimation method for heterogeneous implicit feedback Article

Jing WANG, Lan-fen LIN, Heng ZHANG, Jia-qi TU, Peng-hua YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1817-1827 doi: 10.1631/FITEE.1601468

Abstract: Implicit feedback, which indirectly reflects opinion through user behaviors, has gained increasing attentionA major way of exploiting implicit feedback is to treat the data as an indication of positive and negativeHowever, in real-world applications, there are usually various types of implicit feedback, which canbe referred to as heterogeneous implicit feedback.Existing methods cannot efficiently infer confidence levels from heterogeneous implicit feedback.

Keywords： Recommender systems     Heterogeneous implicit feedback     Confidence     Collaborative filtering     E-commerce    

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Power-efficient dual-edge implicit pulse-triggered flip-flop with an embedded clock-gating scheme Article

Liang GENG,Ji-zhong SHEN,Cong-yuan XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 962-972 doi: 10.1631/FITEE.1500293

Abstract: A novel dual-edge implicit pulse-triggered flip-flop with an embedded clock-gating scheme (DIFF-CGS)This scheme conditionally disables the inverter chain when the input data are kept unchanged, so redundantimprovement of 41.39% to 56.21% in terms of power consumption, compared with its counterparts at 10% data-switchingAlso, full-swing operations in both implicit pulse generation and the static latch improve the robustnessDIFF-CGS is suitable for low-power applications in very-large-scale integration (VLSI) designs with low data-switching

Keywords： Low power     Flip-flop     Implicit     Clock-gating scheme     Dual-edge    

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Explicit–Implicit Co-Simulation Techniques for Dynamic Responses of a Passenger Car on Arbitrary Road Article

Hongzhou Hu, Zhihua Zhong

Engineering 2019, Volume 5, Issue 6,   Pages 1171-1178 doi: 10.1016/j.eng.2019.09.003

Abstract: The investigations are based on an explicit–implicit approach in which substructure techniquesIt can be concluded that the explicit–implicit co-simulation techniques used here are efficient

Keywords： Durability study     Dynamic responses     Passenger car     Explicit–implicit co-simulation     Contact-impact    

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Improvement of solidification model and analysis of 3D channel blockage with MPS method

Frontiers in Energy 2021, Volume 15, Issue 4,   Pages 946-958 doi: 10.1007/s11708-021-0754-z

Abstract: The moving particle semi-implicit (MPS) method is one of the Lagrangian-based particle methods for analyzing

Keywords： boiling water reactor (BWR)     severe accident     channel blockage     moving particle semi-implicit (MPS) method    

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Cross-lingual implicit discourse relation recognitionwith co-training None

Yao-jie LU, Mu XU, Chang-xing WU, De-yi XIONG, Hong-ji WANG, Jin-song SU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 651-661 doi: 10.1631/FITEE.1601865

Abstract: A lack of labeled corpora obstructs the research progress on implicit discourse relation recognitionIn this paper, we propose a cross-lingual implicit DRR framework that exploits an available English corpustrain two classifiers in Chinese and English in a co-training way, which exploits unlabeled Chinese datato implement better implicit DRR for Chinese.

Keywords： Cross-lingual     Implicit discourse relation recognition     Co-training    

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Implicit Heaviside filter with high continuity based on suitably graded THB splines

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 14-14 doi: 10.1007/s11465-021-0670-2

Abstract: In this paper, an implicit Heaviside filter with high continuity is introduced to generate black andThrough the intrinsic local support and high continuity of THB basis, an implicit adaptively adjusteddensity; b) the efficiency in updating design variables is remarkably improved than the traditional implicitSeveral numerical examples are used to verify the effectiveness of the proposed implicit Heaviside filter

Keywords： topology optimization     truncated hierarchical B-spline     isogeometric analysis     black and white designs     Heaviside filter    

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The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Engineering doi: 10.1016/j.eng.2023.05.020

Abstract: Anticipating others’ actions is innate and essential in order for humans to navigate and interact well with others in dense crowds. This ability is urgently required for unmanned systems such as service robots and self-driving cars. However, existing solutions struggle to predict pedestrian anticipation accurately, because the influence of group-related social behaviors has not been well considered. While group relationships and group interactions are ubiquitous and significantly influence pedestrian anticipation, their influence is diverse and subtle, making it difficult to explicitly quantify. Here, we propose the group interaction field (GIF), a novel group-aware representation that quantifies pedestrian anticipation into a probability field of pedestrians’ future locations and attention orientations. An end-to-end neural network, GIFNet, is tailored to estimate the GIF from explicit multidimensional observations. GIFNet quantifies the influence of group behaviors by formulating a group interaction graph with propagation and graph attention that is adaptive to the group size and dynamic interaction states. The experimental results show that the GIF effectively represents the change in pedestrians’ anticipation under the prominent impact of group behaviors and accurately predicts pedestrians’ future states. Moreover, the GIF contributes to explaining various predictions of pedestrians’ behavior in different social states. The proposed GIF will eventually be able to allow unmanned systems to work in a human-like manner and comply with social norms, thereby promoting harmonious human–machine relationships.

Keywords： Human behavior modeling and prediction     Implicit representation of pedestrian anticipation     Group interaction    

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data     evaluation methods     systematic improvement     big data analytic techniques     data mining    

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Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

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Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: as the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.and non-structured data into “structured format” and explores the relationship of data heterogeneity

Keywords： big data     data science     intelligent knowledge     engineering management     real-life applications    

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Study on hydrodynamic and synthetic water quality model for river networks

Zhang Mingliang,Shen Yongming

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 78-83

Abstract:

The Preissmann implicit scheme is used to discrete the one-dimensionalmodel is applied to simulate four river networks, the results of elevations and flows agree with the data, the result of contamination variables agree with the measured data.

Keywords： Preissmann implicit scheme     river networks     hydrodynamic model     water quality model     WASP model    

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Title Author Date Type Operation

Preference transfer model in collaborative filtering for implicit data Project supported by

Bin JU,Yun-tao QIAN,Min-chao YE

Journal Article

An isogeometric numerical study of partially and fully implicit schemes for transient adjoint shape sensitivity

Zhen-Pei WANG, Zhifeng XIE, Leong Hien POH

Journal Article

Analysis of molten metal spreading and solidification behaviors utilizing moving particle full-implicit

Journal Article

A novel confidence estimation method for heterogeneous implicit feedback

Jing WANG, Lan-fen LIN, Heng ZHANG, Jia-qi TU, Peng-hua YU

Journal Article

Power-efficient dual-edge implicit pulse-triggered flip-flop with an embedded clock-gating scheme

Liang GENG,Ji-zhong SHEN,Cong-yuan XU

Journal Article

Explicit–Implicit Co-Simulation Techniques for Dynamic Responses of a Passenger Car on Arbitrary Road

Hongzhou Hu, Zhihua Zhong

Journal Article

Improvement of solidification model and analysis of 3D channel blockage with MPS method

Journal Article

Cross-lingual implicit discourse relation recognitionwith co-training

Yao-jie LU, Mu XU, Chang-xing WU, De-yi XIONG, Hong-ji WANG, Jin-song SU

Journal Article

Implicit Heaviside filter with high continuity based on suitably graded THB splines

Journal Article

The Group Interaction Field for Learning and Explaining Pedestrian Anticipation

Xueyang Wang,Xuecheng Chen,Puhua Jiang,Haozhe Lin,Xiaoyun Yuan,Mengqi Ji,Yuchen Guo,Ruqi Huang,Lu Fang,

Journal Article

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Study on hydrodynamic and synthetic water quality model for river networks

Zhang Mingliang,Shen Yongming

Journal Article