A5100387096- Data Management and Algorithms
- Web Data Mining and Analysis
- Advanced Database Systems and Queries
- Caching and Content Delivery
- Data Quality and Management
- Topic Modeling
- Peer-to-Peer Network Technologies
- Semantic Web and Ontologies
- Recommender Systems and Techniques
- Natural Language Processing Techniques
- Advanced Computational Techniques and Applications
- Mobile Crowdsensing and Crowdsourcing
- Data Stream Mining Techniques
- Advanced Image and Video Retrieval Techniques
- Data Mining Algorithms and Applications
- Service-Oriented Architecture and Web Services
- Advanced Text Analysis Techniques
- Biometric Identification and Security
- Network Traffic and Congestion Control
- Image Retrieval and Classification Techniques
- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
- Blockchain Technology Applications and Security
- Network Security and Intrusion Detection
- Online Learning and Analytics
Jiangnan University
2025
Xi'an Jiaotong University
2025
Beijing Jiaotong University
2015-2024
University of Massachusetts Amherst
2023-2024
Bristol Robotics Laboratory
2021-2024
University of the West of England
2021-2024
China Aerospace Science and Industry Corporation (China)
2024
Dalian University of Technology
2010-2024
Xi'an Polytechnic University
2024
Beijing Normal University
2014-2024
Emojis have been widely used to simplify emotional expression and enrich user experience. As an interesting practice of ubiquitous computing, emojis are adopted by Internet users from many different countries, on devices (particularly popular smartphones), in applications. The "ubiquitous" usage enables us study compare behaviors preferences across countries cultures. We present analysis how smartphone use based a very large data set collected emoji keyboard. contains complete month 3.88...
Abstract The emergence of increasingly powerful AI technologies calls for the design and development K-12 literacy curricula that can support students who will be entering a profoundly changed labor market. However, developing, implementing, scaling poses significant challenges. It essential to develop robust, evidence-based education research foundation inform curriculum development. Unlike science mathematics education, there is not currently education. In this article we provide...
In this paper, a novel method to verify the infrared finger-vein patterns is proposed for biometric purposes. Firstly, we select parameters Gabor filter with eight orientations exploit network, then extract vein by fusion of two distinct orientation results. Secondly, utilize SIFT features offset effect images rotation and shift impact during verification. Finally, number matching between registered test finger calculated as similarity measurement personal identification. The experiment...
The discovery of disease-causing genes is a critical step towards understanding the nature disease and determining possible cure for it. In recent years, many computational methods to identify have been proposed. However, making full use disease-related (e.g., symptoms) gene-related gene ontology protein-protein interactions) information improve performance prediction still an issue. Here, we develop heterogeneous disease-gene-related network (HDGN) embedding representation framework (called...
Despite the remarkable progress of image captioning, existing captioners typically lack controllable capability to generate desired captions, e.g., describing in a rough or detailed manner, factual emotional view, etc. In this paper, we show that unified model is qualified perform well diverse domains and freely switch among multiple styles. Such achieved by embedding prompt learning into captioning framework. To be specific, design set prompts fine-tune pre-trained captioner. These allow...
Artificial Intelligence’s impact on society is increasingly pervasive. While innovative educational programs are being developed, there has been little understanding of how students, especially pre-college aged construct and gain practice with core ideas about AI or what concepts most appropriate for age-levels. In this paper, we discuss a cognitive interview study high school students to better understand learn concepts. We aim shed light questions including: the range background knowledge...
Recently, the DeepSeek series of models, leveraging their exceptional reasoning capabilities and open-source strategy, is reshaping global AI landscape. Despite these advantages, they exhibit significant safety deficiencies. Research conducted by Robust Intelligence, a subsidiary Cisco, in collaboration with University Pennsylvania, revealed that DeepSeek-R1 has 100\% attack success rate when processing harmful prompts. Additionally, multiple companies research institutions have confirmed...
We present the design and implementation of a visual search system for real time image retrieval on JD.com, world's third largest China's e-commerce site. demonstrate that our can support with hundreds billions product images at sub-second timescales handle frequent updates through distributed hierarchical architecture efficient indexing methods. hope sharing practice production will inspire middleware community's interest appreciation building practical large scale systems emerging...
In this paper, a new finger vein recognition method based on Gabor wavelet and Local Binary Pattern (GLBP) is proposed. the scheme, magnitude operator are combined, so feature vector has excellent stability. We introduce Block-based Linear Discriminant Analysis (BLDA) to reduce dimensionality of GLBP enhance its discriminability at same time. The results an experiment show that proposed approach performance compared other competitive approaches in current literatures.
Investigating the molecular mechanisms of symptoms is a vital task in precision medicine to refine disease taxonomy and improve personalized management chronic diseases. Although there are abundant experimental studies computational efforts obtain candidate genes diseases, identification symptom rarely addressed. We curated high-quality benchmark dataset symptom-gene associations proposed heterogeneous network embedding for identifying genes.
This article provides both logical and empirical evidence to justify the use of an item‐mapping method for establishing passing scores multiple‐choice licensure certification examinations. After describing standard‐setting process, rationale theoretical basis this are discussed, similarities differences between Bookmark methods also provided. Empirical supporting is provided by comparing results from four studies diverse The cut score were conducted using Angoff methods. Rating data studies,...
Cardinality Estimation (CE) is a fundamental but critical problem in DBMS query optimization, while deep learning techniques have made significant breakthroughs the research of CE. However, apart from requiring sufficiently large training data to cover all possible regions for accurate estimation, current query-driven CE methods also suffer workload drifts. In fact, retraining or fine-tuning needs cardinality labels as ground truth and obtaining through expensive. Therefore, we propose CEDA,...
Abstract Clinical symptom‐based diagnosis and therapy play a crucial role in personalized medicine drug discovery. The syndromes, distinctive groups of clinical symptoms summarized by traditional Chinese (TCM) theories experiences, are used as the core diagnostic criteria therapeutic guidance TCM. However, there is still lack standardized data, information, intrinsic molecular basis to help TCM syndromes better classify diseases guide tailored medications. To address this problem, we built...