3,131 Result(s)
within
Chapter
Conference Paper
**ang-**g Wang
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models
When the data distribution in a dataset is highly imbalanced or long-tailed, it can severely affect the effectiveness of a deep network model. This drop in performance is caused due to the biased classifier, w...
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Chapter and Conference Paper
DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion
While manual transcription tools exist, music enthusiasts, including amateur singers, still encounter challenges when transcribing performances into sheet music. This paper addresses the complex task of transl...
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Chapter and Conference Paper
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation
Ensuring traffic safety is crucial in the pursuit of sustainable transportation. Across diverse traffic systems, maintaining good situation awareness (SA) is important in promoting and upholding traffic safety...
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Chapter and Conference Paper
LCformer: Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting
Transformer-based methods have shown excellent results in long-term series forecasting, but they still suffer from high time and space costs; difficulties in analysing sequence correlation due to entanglement ...
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Chapter and Conference Paper
Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network
In many real-world networks, such as co-authorship, etc., relationships are complex and go beyond pairwise associations. Hypergraphs provide a flexible and natural modeling tool to model such complex relations...
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Chapter and Conference Paper
Cascaded Fuzzy PID Control for Quadrotor UAVs Based on RBF Neural Networks
Since quadrotor UAVs often need to fly in complex and changing environments, their systems suffer from slow smooth control response, weak self-turbulence capability, and poor self-adaptability. Thus, it is cru...
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Chapter and Conference Paper
Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience
This paper addresses the optimization of desktop image presentation in remote desktop scenarios. Remote desktop tools, essential for work efficiency, often employ image compression to manage bandwidth. While J...
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Chapter and Conference Paper
Graph Pointer Network and Reinforcement Learning for Thinnest Path Problem
The complexity and NP-hard nature make finding optimal solutions challenging for combinatorial optimization problems (COPs) using traditional methods, especially for the large-scale problem. Recently, deep lea...
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Chapter and Conference Paper
Long Short-Term Planning for Conversational Recommendation Systems
In Conversational Recommendation Systems (CRS), the central question is how the conversational agent can naturally ask for user preferences and provide suitable recommendations. Existing works mainly follow th...
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Chapter and Conference Paper
A Three-Stage Framework for Event-Event Relation Extraction with Large Language Model
Expanding the parameter count of a large language model (LLM) alone is insufficient to achieve satisfactory outcomes in natural language processing tasks, specifically event extraction (EE), event temporal rel...
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Chapter and Conference Paper
Learning Dense UV Completion for 3D Human Mesh Recovery
Human mesh reconstruction from a single image is a challenging task due to the occlusion caused by self, objects, or other humans. Existing methods either fail to separate human features accurately or lack pro...
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Chapter and Conference Paper
Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Motor imagery based brain-computer interface (MI-BCI) has been extensively researched as a potential intervention to enhance motor function for post-stroke patients. However, the difficulties in performing ima...
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Chapter and Conference Paper
Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain
Text-to-SQL aims at generating SQL queries for the given natural language questions and thus hel** users to query databases. Prompt learning with large language models (LLMs) has emerged as a recent approach...
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Chapter and Conference Paper
DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method Based on Graph Attention Networks
Cross-Lingual Summarization (CLS) is the task of generating summaries in a target language for source articles in a different language. Previous studies on CLS mainly take pipeline methods or train an attentio...
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Chapter and Conference Paper
Face Super-Resolution via Progressive-Scale Boosting Network
Deep-learning-based face super-resolution (FSR) algorithms have performed more than traditional algorithms. However, existing methods need to pass multi-scale priors effectively constrained models. To alleviat...
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Chapter and Conference Paper
VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality Assessment
The Image Quality Assessment (IQA) is to measure how humans perceive the quality of images. In this paper, we propose a new model named for VFIQ – a ViT-FSIMc Hybrid Siamese Network for Full Reference IQA – th...
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Chapter and Conference Paper
Knowledge Graph Completion via Subgraph Topology Augmentation
Knowledge graph completion (KGC) has achieved widespread success as a key technique to ensure high-quality structured knowledge for downstream tasks (e.g., recommendation systems and question answering). Howev...
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Chapter and Conference Paper
Prior-Enhanced Network for Image-Based PM2.5 Estimation from Imbalanced Data Distribution
The effective monitoring of PM2.5, a major indicator of air pollution, is crucial to human activities. Compared to traditional physiochemical techniques, image-based methods train PM2.5 estimators by using dat...
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Chapter and Conference Paper
BoundEst: Estimating Join Cardinalities with Tight Upper Bounds
Cardinality estimation is a critical component of query optimization. Despite extensive research, achieving efficient and accurate estimation for join queries remains challenging. Estimating tight upper bounds...
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Chapter and Conference Paper
DRPDDet: Dynamic Rotated Proposals Decoder for Oriented Object Detection
Oriented object detection has gained popularity in diverse fields. However, in the domain of two-stage detection algorithms, the generation of high-quality proposals with a high recall rate remains a formidabl...
