- Text and Document Classification Technologies
- Photonic and Optical Devices
- Neural Networks and Reservoir Computing
- Complex Network Analysis Techniques
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Service-Oriented Architecture and Web Services
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Optical Network Technologies
- Metal-Organic Frameworks: Synthesis and Applications
- Topic Modeling
- Reading and Literacy Development
- Recommender Systems and Techniques
- Literacy, Media, and Education
- Distributed and Parallel Computing Systems
- Neurobiology of Language and Bilingualism
- Advanced Database Systems and Queries
- Expert finding and Q&A systems
- Robot Manipulation and Learning
- Spam and Phishing Detection
- Biometric Identification and Security
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Photonic Crystals and Applications
Nankai University
2019-2025
Peking University
2024
Minzu University of China
2021-2024
United Imaging Healthcare (China)
2023
Anhui Polytechnic University
2022-2023
Institute of Software
2023
Technical University of Darmstadt
2022
Shenyang Pharmaceutical University
2022
Tianjin University
2021
Jilin University
2010-2020
Abstract Lanthanide metal–organic frameworks (Ln‐MOFs) are promising for luminescence detection of volatile organic compound (VOC) vapors, but usually suffer from the silent or quenched Ln 3+ emission. Herein, we report a new dual‐emissive Eu‐MOF composed coordinatively unsaturated Eu 9 clusters that afford abundant open metal sites to form confined “binding pocket” facilitate preconcentration and recognition VOCs. Single‐crystal structural analyses reveal specific analytes can replace OH...
New Event Detection (NED) aims at detecting from one or multiple streams of news stories that which is reported on a new event (i.e. not previously). With the overwhelming volume available today, there an increasing need for NED system able to detect events more efficiently and accurately. In this paper we propose model speed up task by using indexing-tree dynamically. Moreover, based observation terms different types have effects task, two term reweighting approaches are proposed improve...
In this paper, we utilize tags in Twitter (the hashtags) as an indicator of events. We first study the properties hashtags for event detection. Based on several observations, proposed three attributes hashtags, including (1) instability temporal analysis, (2) meme possibility to distinguish social events from virtual topics or memes, and (3) authorship entropy mining most contributed authors. these attributes, breaking are discovered with which cover a wide range among different languages real world.
In modern search engines, an increasing number of result pages (SERPs) are federated from multiple specialized engines (called verticals, such as Image or Video). As effective approach to interpret users' click-through behavior feedback information, most click models were designed reduce the position bias and improve ranking performance ordinary results, which have homogeneous appearances. However, when vertical results combined with ones, significant differences in presentation may lead...
The proliferation of big data and computing boosted the adoption machine learning across many application domains. Several distributed platforms emerged recently. We investigate architectural design these platforms, as decisions inevitably affect performance, scalability, availability those platforms. study Spark a representative dataflow system, PMLS parameter- server TensorFlow MXNet examples more advanced systems. take systems perspective, analyze communication control bottlenecks for...
Teachers of World English are no longer charged with teaching a fixed set grammar rules and lexical choices but creative ways to navigate varieties other world languages according wide contextual variables. Although there is great deal advocacy for creativity strategy in TESOL classrooms (Richards, 2013), little documentation regarding how preservice teachers themselves exercise their own abilities as language users. How might students enrolled teacher preparation program respond course...
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely infects people and has rapidly spread worldwide. JingFangBaiDu San (JFBDS) been used to treat prevalent epidemic pathogens, common cold, headache, cough due lung-cold, other symptoms; however, its treatment for COVID-19 is unknown. Molecular docking network pharmacology were applied obtain ingredient-protein structures the herb-ingredient-disease target model, respectively,...
Autonomous robots should operate in real-world dynamic environments and collaborate with humans tight spaces. A key component for allowing to leave structured lab manufacturing settings is their ability evaluate online real-time collisions the world around them. Distance-based constraints are fundamental enabling plan actions act safely, protecting both hardware. However, different applications require distance resolutions, leading various heuristic approaches measuring fields w.r.t....
A highly connected Tb-MOF possessing a specific nanotrap enriched with nonpolar aromatic rings shows an excellent inverse adsorption of C 2 H 6 over 4 for one-step purification.
The increased research examining social media addiction with its negative consequences has raised concerns over the past decade. However, little investigated association between and executive functioning as well mechanisms underlying this relationship.Using a survey, present study examined via emotional disturbance sleep quality among 1051 Chinese young adults, aged 18 to 27 years old (M=21.02 [SD=1.89]; 34.41% male).The results showed that had significant but positive associations poor...
As a successful case of combining deep learning with photonics, the research on optical machine has recently undergone rapid development. Among various classification frameworks, diffractive networks have been shown to unique advantages in all-optical reasoning. an important property light, orbital angular momentum (OAM) light shows orthogonality and mode-infinity, which can enhance ability parallel information processing. However, there few under OAM mode encoding. Here, we report strategy...
A pacs-type MOF shows a decent inverse adsorption of C 2 H 6 over 4 for one-step purification by addressing the trade-off between selectivity and capacity.
Eye movement research in Chinese shows that young adults encode character order flexibly during parafoveal processing and word predictability can influence this early stage. Whether these effects change older age is unclear, although other suggests readers have reduced capabilities. Using the boundary paradigm (Rayner, 1975), we compared eye data from 60 (18-30 years) with new 36 (65-75 years). Participants read sentences two-character target words of high or low predictability. Before their...
An influential account of normative aging effects on reading holds that older adults make greater use contextual predictability to facilitate word identification. However, supporting evidence is scarce. Accordingly, we used measures eye movements experimentally investigate age differences in Chinese reading, as this nonalphabetic language has characteristics may promote such effects. Word-skipping rates were higher and times lower for more highly predictable words both groups. Effects...
A lot of previous research has highlighted the negative consequences Internet addiction. However, relatively few is known about underlying mechanism for addiction among college students in relation to family function. The present study explored relationship between function and students, as well mediating effects alexithymia loneliness. sample 783 Chinese were administered a number psychometric scales including "General Function" subscale version Family Assessment Device, Toronto Alexithymia...
Abstract Optical logic operations are an essential part of optical computing. The inherent stability and low susceptibility polarization to the external environment make it a suitable choice for acting as logical state in computational tasks. Traditional polarization-based devices often rely on complex cascading structures implement multiple gates. In this work, by leveraging framework deep diffractive neural networks (D 2 NN), we proposed uniform approach designing polarization-encoded...
Click models are developed to interpret clicks by making assumptions on how users browse the search result page. Most existing click implicitly assume that all homogeneous and act in same way when browsing results. However, a number of researches have shown diverse behavioral patterns, which is also observed this paper eye-tracking experiments click-through log analysis. As uniform model for can hardly capture behavior, we incorporate user preferences into both variety novel model. The...