9,125 Result(s)
within
Chapter
Conference Paper
**u-**u Zhang
Computer Science
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop at the European Conference on Computer Vision (ECCV 2022). In our approach, we employ the win...
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Chapter and Conference Paper
Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification
This paper presents our solution for the 2nd COVID-19 Severity Detection Competition. This task aims to distinguish the Mild, Moderate, Severe, and Critical grades in COVID-19 chest CT images. In our approach,...
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Chapter and Conference Paper
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation
Neural network quantization aims to transform high-precision weights and activations of a given neural network into low-precision weights/activations for reduced memory usage and computation, while preserving ...
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Chapter and Conference Paper
Evaluation of Deep Reinforcement Learning Based Stock Trading
Stock is one of the most important targets in investment. However, it is challenging to manually design a profitable strategy in the highly dynamic and complex stock market. Modern portfolio management usually...
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Chapter and Conference Paper
Syntax-Aware Transformer for Sentence Classification
Sentence classification is a significant task in natural language processing (NLP) and is applied in many fields. The syntactic and semantic properties of words and phrases often determine the success of sente...
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Chapter and Conference Paper
Enhance Performance of Ad-hoc Search via Prompt Learning
Recently, pre-trained language models (PTM) have achieved great success on ad hoc search. However, the performance decline in low-resource scenarios demonstrates the capability of PTM has not been inspired ful...
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Chapter and Conference Paper
Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying them to large images is still computationally difficult. A large reason for this is that self-attention scales quadratically with the nu...
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Chapter and Conference Paper
An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
Object detection with high accuracy and fast inference speed based on camera sensors is important for autonomous driving. This paper develops a lightweight object detection network based on YOLOv5s which is on...
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Chapter and Conference Paper
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
Vocabulary mismatch is a central problem in information retrieval (IR), i.e., the relevant documents may not contain the same (symbolic) terms of the query. Recently, neural representations have shown great su...
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Chapter and Conference Paper
BadDet: Backdoor Attacks on Object Detection
Backdoor attack is a severe security threat which injects a backdoor trigger into a small portion of training data such that the trained model gives incorrect predictions when the specific trigger appears. Whi...
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Chapter and Conference Paper
Chameleon DNN Watermarking: Dynamically Public Model Ownership Verification
Deep neural network (DNN) has made unprecedented leaps in functionality and usefulness in the past few years, revolutionizing various promising fields such as image recognition and machine translation. The tra...
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Chapter and Conference Paper
RPR-Net: A Point Cloud-Based Rotation-Aware Large Scale Place Recognition Network
Point cloud-based large scale place recognition is an important but challenging task for many applications such as Simultaneous Localization and Map** (SLAM). Taking the task as a point cloud retrieval probl...
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Chapter and Conference Paper
Study on Cognitive Behavior and Subjective Evaluation Index of Seafarer's Alertness
This study carried out the long-time voyage simulation experiment in the independently developed experimental cabin to explore the cognitive behavior and subjective evaluation index of seafarer's alertness dur...
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Chapter and Conference Paper
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning
This paper presents a transformer framework for few-shot learning, termed TransVLAD, with one focus showing the power of locally aggregated descriptors for few-shot learning. Our TransVLAD model is simple: a s...
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Chapter and Conference Paper
Fast Node Selection of Networked Radar Based on Transfer Reinforcement Learning
The networked radar system can synthesize different echo signals received by various radars and realize the cooperative detection of multiple radars, becoming more and more critical for data fusion sharing and...
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Chapter and Conference Paper
Chair Design of Waiting Space in Maternity Department Based on QFD-Kano and FBS
In order to design the seats in the waiting space of the obstetrics and gynecology department of the hospital, reduce the anxiety of pregnant women waiting for the inspection process, objectively and rationall...
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Chapter and Conference Paper
CIRS: A Confidence Interval Radius Slope Method for Time Series Points Based on Unsupervised Learning
The rise of big data has brought various challenges and revolutions to many fields. Even though its development in many industries has gradually become perfect or even mature, its application and development i...
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Chapter and Conference Paper
Visual Analysis of the National Characteristics of the COVID-19 Vaccine Based on Knowledge Graph
The aim is to construct a country-dimension knowledge graph of COVID-19 vaccines from the information of COVID-19 vaccines and to analyze the leading countries of vaccine R&D by combining the advantages of eas...
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Chapter and Conference Paper
Designing for Perceived Intelligence in Human-Agent Interaction: A Systematic Review
The aim of the current study was to identify design elements that influence the perceived intelligence of an agent to inform the design of human-agent interfaces. An agent’s level of perceived intelligence by ...
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Chapter and Conference Paper
Data-Driven Deep Supervision for Skin Lesion Classification
Automatic classification of pigmented, non-pigmented, and depigmented non-melanocytic skin lesions have garnered lots of attention in recent years. However, imaging variations in skin texture, lesion shape, de...
