357 Result(s)
within
Computer Science
Database Management
Information Systems Applications (incl. Internet)
**u Tao
Chapter
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Chapter and Conference Paper
Multi-scale Feature Based Densely Channel Attention Network for Vision-Based Haze Visibility Detection
Due to the problem of reduced visibility caused by haze pollution, it has brought great inconvenience to outdoor activities and traffic travel. Therefore, haze control has become one of the topics closely conc...
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Chapter and Conference Paper
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation
With the development of recommendation systems (RSs), researchers are no longer only satisfied with the recommendation results, but also put forward requirements for the recommendation reasons, which helps imp...
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Chapter and Conference Paper
Fast Fourier Orthogonalization over NTRU Lattices
FALCON is an efficient and compact lattice-based signature scheme. It is also one of the round 3 finalists in the NIST PQC standardization process. The core of FALCON is a trapdoor sampling algorithm, which ha...
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Chapter and Conference Paper
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
The pre-trained language model (eg, BERT) based deep retrieval models achieved superior performance over lexical retrieval models (eg, BM25) in many passage retrieval tasks. However, limited work has been done to...
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Chapter and Conference Paper
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation
The accurate segmentation and structural topics of plain documents not only meet people’s reading habit, but also facilitate various downstream tasks. Recently, some works have consistently given positive hint...
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Chapter and Conference Paper
NSF-Based Mixture of Gaussian Processes and Its Variational EM Algorithm
Mixture of Gaussian processes (MGP) is a powerful model for dealing with data with multi-modality. However, input distributions of Gaussian process (GP) components of an MGP are designed to be Gaussians, which...
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Chapter and Conference Paper
Identity Authentication Technology in Edge Computing Environment: Vision and Challenges
In the era of the Internet of Everything, the number of terminal devices connected to the network is increasing day by day, and the amount of data at the edge of the network has increased dramatically. Under t...
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Chapter and Conference Paper
Group-Based Deep Reinforcement Learning in Multi-UAV Confrontation
The application of deep reinforcement learning (DRL) algorithms in multi-agent environments has become more and more popular. However, most DRL algorithms do not solve the problem of group cooperation. Each ag...
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Chapter and Conference Paper
The Usability Evaluation Method of E-learning Platform Based on Fuzzy Comprehensive Evaluation
E-learning platform provides an online learning environment for teachers and students. The high usability of e-learning platform plays an important role in product competitiveness, user learning effect and so ...
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Chapter and Conference Paper
A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation
There are many intents of dialogues that cannot be recognized due to the contextual features of conversation, resulting in service failure for online chatting robots. Current methods leverage memory networks ...
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Chapter and Conference Paper
A Sentiment Classification Model Based on Deep Learning
Sentiment classification is an interesting and crucial research topic of opinion mining and sentiment analysis, which is used to obtain sentiment types from the text documents of numerous sources. Sentiment cl...
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Chapter and Conference Paper
Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization
Multi-label classification deals with a special supervised classification problem where any instance could be associated with multiple class labels simultaneously. As various applications emerge continuously i...
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Chapter and Conference Paper
Incorporating Complete Syntactical Knowledge for Spoken Language Understanding
Spoken Language Processing (SLU) is important in task-oriented dialog systems. Intent detection and slot filling are two significant tasks of SLU. State-of-the-art methods for SLU jointly solve these two tasks...
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Chapter and Conference Paper
A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation
The use of large-scale pre-trained models for text summarization has attracted increasing attention in the computer science community. However, pre-training models with millions of parameters and long training...
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Chapter and Conference Paper
CSDQA: Diagram Question Answering in Computer Science
Visual Question Answering (VQA) has been a research focus of the computer vision community for recent years. Most of them are accomplished and verified on images of natural scenes. However, Diagram Question An...
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Chapter and Conference Paper
Fuzzy Evaluation System for Innovation Ability of Science and Technology Enterprises
Innovation ability is the core competitiveness of science and technology enterprises. Regular monitoring and evaluation of enterprise innovation capabilities can help management departments accurately grasp th...
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Chapter and Conference Paper
The Novel Efficient Transformer for NLP
Reducing the numerical precision of weights and activations of deep neural networks have proven to be a stunningly efficient way of deploying deep networks on edge devices with limited resources. With the adve...
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Chapter and Conference Paper
Etiquette Action Similarity Evaluation Based on Posture Recognition
At present, more and more vocational colleges set up the etiquette course. In traditional etiquette education, due to the shortage of teachers, it is not practicable to effectively manage students. In order to...
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Chapter and Conference Paper
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes
The mixture of Gaussian process functional regressions (mix-GPFR) utilizes a linear combination of certain B-spline functions to fit the mean functions of Gaussian processes. Although mix-GPFR makes the mean f...
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Chapter and Conference Paper
SPAN: Subgraph Prediction Attention Network for Dynamic Graphs
This paper proposes a novel model for predicting subgraphs in dynamic graphs, an extension of traditional link prediction. This proposed end-to-end model learns a map** from the subgraph structures in the cu...
