Di Lu

Yanshan University

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Lian Lian

Shanghai Jiao Tong University

Heng Ji

University of Illinois Urbana-Champaign

Zheng Zeng

Shanghai Jiao Tong University

Chengke Xiong

Shanghai Jiao Tong University

Xiaoman Pan

Central South University

Boliang Zhang

Macao Polytechnic University

Joel Tetreault

Dataminr (United States)

Rosta Farzan

University of Pittsburgh

Spencer Whitehead

Alpha Omega Alpha Medical Honor Society

Lifu Huang

Virginia Tech

Cooperative Institutions

Chinese Academy of Sciences

Shanghai Jiao Tong University

University of Chinese Academy of Sciences

University of Southern California

Xi'an Institute of Optics and Precision Mechanics

University of Illinois Urbana-Champaign

Columbia University

Tsinghua University

Shanghai Ocean University

Southern California University for Professional Studies

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Machinery health prognostic with uncertainty for mineral processing using TSC-TimeGAN

Reliability Engineering & System Safety (2024)

Tao Liang Fuli Wang Shu Wang Kang Li Xuelei Mo

Autoencoder

10.1016/j.ress.2024.110055

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Cross-media Structured Common Space for Multimedia Event Extraction

arXiv (Cornell University) (2020)

Manling Li Alireza Zareian Qi Zeng Spencer Whitehead Di Lu

We introduce a new task, MultiMedia Event Extraction (M2E2), which aims to extract events and their arguments from multimedia documents. We develop the first benchmark and collect a dataset of 245 multimedia news articles with extensively annotated events and arguments. We propose a novel method, Weakly Aligned Structured Embedding (WASE), that encodes structured representations of semantic information from textual and visual data into a common embedding space. The structures are aligned across modalities by employing a weakly supervised training strategy, which enables exploiting available resources without explicit cross-media annotation. Compared to uni-modal state-of-the-art methods, our approach achieves 4.0% and 9.8% absolute F-score gains on text event argument role labeling and visual event extraction. Compared to state-of-the-art multimedia unstructured representations, we achieve 8.3% and 5.0% absolute F-score gains on multimedia event extraction and argument role labeling, respectively. By utilizing images, we extract 21.4% more event mentions than traditional text-only methods.

Argument (complex analysis)

Benchmark (surveying)

10.48550/arxiv.2005.02472

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Citations (2)

Research on image classification and recognition technology based on depth learning

Di Lu

Contextual image classification

10.1109/actce65085.2024.00016

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EFL Teachers' Optimism and Commitment and Their Contribution to Students' Academic Success

Frontiers in Psychology (2021)

Di Lu

The present review study determines to scrutinize EFL teachers' optimism and commitment and their contribution to students' academic success. Academic optimism, as a new construct, is evolving from the examination of the positive psychology (PP), societal principal, and communal school assets that affect the attainment and success of all learners. In addition, within the past decades, commitment has received a great level of consideration, principally in the domain of structural research. The straightforward perseverance of this review is to extend the concept of academic optimism to individuals, that is, to hypothesize theoretical optimism and approve the efficacy of this paradigm at the instructor level in relation to students' academic success. According to the literature review, the definitions of these constructs, namely teachers' optimism and commitment, and students' academic success, as well as empirical studies in this domain are presented. As a conclusion, this study, to some extent, promotes the educators' mindfulness about their commitment. In this respect, pedagogical implications for teachers, school principals, teacher-trainers, and future researchers are presented, and new guidelines for further research are determined.

Affect

10.3389/fpsyg.2021.752759

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Citations (21)

USING FINITE ELEMENT METHOD TO CALCULATE 3D THERMAL DISTRIBUTION IN THE END REGION OF TURBO GENERATOR

Proceedings of the Csee (2001)

Di Lu

Using finite element method to calculate thermal distribution is introduced in this paper. Then the thermal distribution in the end region of QFS 300 2 turbo generator is calculated. The calculated results were well agreement with the measured results. And the thermal distribution under different cooling modes is studied. The calculated results use model in cylindricalcoordinate are compared with the results use model in rectangular coordinate.

Turbo generator

Turbo

Source

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Time to Introduce Myself!

Di Lu Rosta Farzan

Newcomers face various difficulties entering any communities and online forums are no exception. Due to the lack of familiarity and commitment to the group, newcomers are particularly sensitive to their early-on experiences in the forums. As a support mechanism to help newcomers blend into the group, online forums often encourage newcomers to introduce themselves upon joining the group. In this work we explored how the timing of these introduction influences newcomers' incorporation to the group. We found that providing introduction after some initial activities in the forum is associated with positive outcomes in terms of newcomers' contribution and commitment.

10.1145/2786451.2786478

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Three new flavonoid glycosides from the herbaceous stems of Ephedra intermedia

Natural Product Research (2024)

Yingjie Niu Yan-Gang Cao Yanling Liu Xu Chen Xiang-Da Li

Phytochemical investigation of the

Intermedia

Herbaceous plant

10.1080/14786419.2024.2405993

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Hydrophobic Texture Screening of Laser Ablated Silicon Carbide Surface and Its Influencing Factors Analysis and Optimization

Advanced Engineering Materials (2023)

Di Lu Yang Xiao Qiong Hu Xiaolei Wang Yan Wang

Four types of micro textures (grid, strip, square, and circle) are engraved on SiC surface by nanosecond laser and the texture with the best hydrophobicity is screened. Influence of processing parameters on the hydrophobicity is obtained by orthogonal experiment, which led to the determination of the optimal parameter combination. Relationship between the contact angle and the structural parameters of the micro texture is further investigated. Results show that the strip texture has the best hydrophobic performance and the contact angle increases with time until it reaches a stabilization (≈124.4°) after 192 h. The optimal combination of processing parameters is determined as follows: line spacing C = 275 μ m, scanning velocity V = 1100 mm s −1 , power W = 15%, frequency f = 35 kHz, and number N = 100. The contact angle is closely related to bulge width c 1 , groove width c 2 , and groove depth h g of the micro texture, and a larger contact angle generally corresponds to a smaller c 2 and a lager h g . The droplets on the strip‐texture surface are in Wenzel–Cassie or Wenzel state, which presents hydrophobic and diversion characteristics under the action of micro‐nano composite structure and the anisotropy of micro texture.

Texture (cosmology)

Groove (engineering)

10.1002/adem.202201733

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Real Time Performance Evaluation of Deep Learning Algorithms in Image Recognition under the Pytorch Framework

Di Lu S.C. Liu

10.1109/iacis61494.2024.10721731

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Takeoff and Landing Control of a Hybrid Aerial Underwater Vehicle on Disturbed Water’s Surface

IEEE Journal of Oceanic Engineering (2021)

Di Lu Yinghao Guo Chengke Xiong Zheng Zeng Lian Lian

This article proposes a disturbance observer-based nonlinear control strategy for the accurate takeoff and landing control of a novel hybrid aerial underwater vehicle, Nezha III, subjected to wave and wind. The approach consists of the dynamic surface controller (DSC) and the nonlinear disturbance observers (NDOs). The problem is first modeled with full consideration of diverse external forces, including the capsizing buoyant moment, the added mass effect, and wave and wind loads. The DSC forms the base of the controller and benefits the tracking behavior by handling the nonlinearity of the system. Meanwhile, the integrated NDOs enhance the robustness of the closed-loop system by estimating the unmeasurable external forces. The proposed method is proved theoretically to stabilize the vehicle when it tracks the reference trajectory across different media in the presence of environmental disturbances. Finally, the proposed controller is tested numerically by challenging it under the wind and wave disturbances. The results show the controller makes Nezha III achieve successful takeoff and landing on the disturbed water's surface in spite of the hazardous environment, which strongly evidence the outstanding performance of the proposed method.

Takeoff

Takeoff and landing

10.1109/joe.2021.3124515

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Citations (23)