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09/18/2023
Proof-of-Prospect-Theory: A Novel Game-based Consensus Mechanism for Blockchain
Blockchain technology is a breakthrough in changing the ways of business...
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09/13/2023
TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models
With the promotion of chatgpt to the public, Large language models indee...
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09/04/2023
Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning
Android Apps are frequently updated to keep up with changing user, hardw...
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08/30/2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation
In the information age, recommendation systems are vital for efficiently...
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08/30/2023
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
The growing popularity of subscription services in video game consumptio...
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08/29/2023
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
Since Knowledge Graphs (KGs) contain rich semantic information, recently...
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08/15/2023
Link-Context Learning for Multimodal LLMs
The ability to learn from context with novel concepts, and deliver appro...
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08/14/2023
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
Multi-stage architectures have exhibited efficacy in image dehazing, whi...
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07/27/2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting
Traffic forecasting, which aims to predict traffic conditions based on h...
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07/24/2023
Exposing the Troublemakers in Described Object Detection
Detecting objects based on language descriptions is a popular task that ...
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06/27/2023
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
In human conversations, individuals can indicate relevant regions within...
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06/25/2023
Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning
Accommodating long-running deep learning (DL) training and inference job...
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06/24/2023
Approximation Algorithm for Unrooted Prize-Collecting Forest with Multiple Components and Its Application on Prize-Collecting Sweep Coverage
In this paper, we present a polynomial time 2-approximation algorithm fo...
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06/20/2023
Fine-grained Policy-driven I/O Sharing for Burst Buffers
A burst buffer is a common method to bridge the performance gap between ...
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06/12/2023
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers
Breast ultrasound videos contain richer information than ultrasound imag...
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06/02/2023
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
This work proposes a Momentum-Enabled Kronecker-Factor-Based Optimizer U...
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05/21/2023
Advancing Referring Expression Segmentation Beyond Single Image
Referring Expression Segmentation (RES) is a widely explored multi-modal...
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05/06/2023
Attacking Pre-trained Recommendation
Recently, a series of pioneer studies have shown the potency of pre-trai...
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04/07/2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Efficient automatic segmentation of multi-level (i.e. main and branch) p...
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03/14/2023
Co-Salient Object Detection with Co-Representation Purification
Co-salient object detection (Co-SOD) aims at discovering the common obje...
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02/05/2023
A Game-Theoretic Approach to Solving the Roman Domination Problem
The Roamn domination problem is one important combinatorial optimization...
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01/23/2023
A New Approximation Algorithm for Minimum-Weight (1,m)–Connected Dominating Set
Consider a graph with nonnegative node weight. A vertex subset is called...
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01/19/2023
Multimodal Video Adapter for Parameter Efficient Video Text Retrieval
State-of-the-art video-text retrieval (VTR) methods usually fully fine-t...
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12/29/2022
On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects
Active tracking of space noncooperative object that merely relies on vis...
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11/18/2022
Stereo Image Rain Removal via Dual-View Mutual Attention
Stereo images, containing left and right view images with disparity, are...
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11/13/2022
Long-Range Zero-Shot Generative Deep Network Quantization
Quantization approximates a deep network model with floating-point numbe...
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11/09/2022
NoiSER: Noise is All You Need for Enhancing Low-Light Images Without Task-Related Data
This paper is about an extraordinary phenomenon. Suppose we don't use an...
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11/04/2022
OSIC: A New One-Stage Image Captioner Coined
Mainstream image caption models are usually two-stage captioners, i.e., ...
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11/02/2022
SufrinNet: Toward Sufficient Cross-View Interaction for Stereo Image Enhancement in The Dark
Low-light stereo image enhancement (LLSIE) is a relatively new task to e...
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10/03/2022
Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms on General Cover Problems
Theoretical studies on evolutionary algorithms have developed vigorously...
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10/02/2022
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising
Images collected in real-world low-light environment usually suffer from...
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09/30/2022
ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals
A time-frequency diagram is a commonly used visualization for observing ...
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09/13/2022
PointScatter: Point Set Representation for Tubular Structure Extraction
This paper explores the point set representation for tubular structure e...
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08/30/2022
Approximation Algorithm for Minimum p Union Under a Geometric Setting
In a minimum p union problem (MinpU), given a hypergraph G=(V,E) and an ...
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08/24/2022
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis
Recently, some span-based methods have achieved encouraging performances...
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08/17/2022
A Survey on Incomplete Multi-view Clustering
Conventional multi-view clustering seeks to partition data into respecti...
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08/10/2022
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...
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06/30/2022
Customized Conversational Recommender Systems
Conversational recommender systems (CRS) aim to capture user's current i...
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06/18/2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...
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06/18/2022
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
We all depend on mobility, and vehicular transportation affects the dail...
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05/02/2022
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Most real-world knowledge graphs (KG) are far from complete and comprehe...
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04/30/2022
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization
Network quantization has emerged as a promising method for model compres...
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04/16/2022
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring
Blind image deblurring (BID) remains a challenging and significant task....
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04/10/2022
Image Harmonization by Matching Regional References
To achieve visual consistency in composite images, recent image harmoniz...
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03/25/2022
Interactive Style Transfer: All is Your Palette
Neural style transfer (NST) can create impressive artworks by transferri...
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02/08/2022
A parallel algorithm for minimum weight set cover with small neighborhood property
This paper studies the minimum weight set cover (MinWSC) problem with a ...
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01/14/2022
Performance Guaranteed Evolutionary Algorithm for Minimum Connected Dominating Set
A connected dominating set is a widely adopted model for the virtual bac...
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12/27/2021
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Cross-Lingual Information Retrieval (CLIR) aims to rank the documents wr...
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11/24/2021
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing
Deep learning based virtual try-on system has achieved some encouraging ...
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11/11/2021