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09/19/2023
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training
In this work, we introduce the concept of complex text style transfer ta...
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09/18/2023
Error Reduction from Stacked Regressions
Stacking regressions is an ensemble technique that forms linear combinat...
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09/06/2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
3D dense captioning requires a model to translate its understanding of a...
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09/05/2023
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning
Sleep stage classification is crucial for detecting patients' health con...
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08/14/2023
Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Transformer-based visual trackers have demonstrated significant progress...
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08/01/2023
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies
Accurate online transient stability prediction is critical for ensuring ...
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08/01/2023
Deep Reinforcement Learning-Based Battery Conditioning Hierarchical V2G Coordination for Multi-Stakeholder Benefits
With the growing prevalence of electric vehicles (EVs) and advancements ...
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07/27/2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) is a technique for tra...
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07/20/2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Lung cancer is a leading cause of death worldwide and early screening is...
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07/10/2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Gastric cancer is the third leading cause of cancer-related mortality wo...
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07/07/2023
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Graph neural network (GNN) has gained increasing popularity in recent ye...
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06/28/2023
A serial dual-channel library occupancy detection system based on Faster RCNN
The phenomenon of seat occupancy in university libraries is a prevalent ...
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06/26/2023
MotionGPT: Human Motion as a Foreign Language
Though the advancement of pre-trained large language models unfolds, the...
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06/23/2023
Higher-order Motif-based Time Series Classification for Forced Oscillation Source Location in Power Grids
Time series motifs are used for discovering higher-order structures of t...
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06/12/2023
Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Multivariate time series anomaly detection (MTAD) plays a vital role in ...
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06/10/2023
Differentially private sliced inverse regression in the federated paradigm
We extend the celebrated sliced inverse regression to address the challe...
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06/02/2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer – A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
Vulnerability detection is a critical problem in software security and a...
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05/30/2023
Fast global convergence of gradient descent for low-rank matrix approximation
This paper investigates gradient descent for solving low-rank matrix app...
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05/25/2023
Learning Safety Constraints from Demonstrations with Unknown Rewards
We propose Convex Constraint Learning for Reinforcement Learning (CoCoRL...
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05/18/2023
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
Incremental few-shot semantic segmentation (IFSS) aims to incrementally ...
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05/17/2023
Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization
Wind power is becoming an increasingly important source of renewable ene...
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05/12/2023
An Object SLAM Framework for Association, Mapping, and High-Level Tasks
Object SLAM is considered increasingly significant for robot high-level ...
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05/09/2023
Sparse Sliced Inverse Regression via Random Projection
We propose a novel sparse sliced inverse regression method based on rand...
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04/28/2023
Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps
A road is the skeleton of a city and is a fundamental and important geog...
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04/27/2023
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
In this paper, we present a new sequence-to-sequence learning framework ...
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04/25/2023
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning
We propose a model-free reinforcement learning solution, namely the ASAP...
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04/22/2023
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism
The Mixture of Experts (MoE) model becomes an important choice of large ...
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04/20/2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Point cloud based 3D deep model has wide applications in many applicatio...
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04/18/2023
PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation
Recently, making recommendations for ephemeral groups which contain dyna...
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04/11/2023
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles
Accurate state-of-health (SOH) estimation is critical to guarantee the s...
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04/11/2023
Triple Sequence Learning for Cross-domain Recommendation
Cross-domain recommendation (CDR) aims to leverage the users' behaviors ...
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04/01/2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Real-world medical image segmentation has tremendous long-tailed complex...
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03/31/2023
POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems
Neural networks (NNs) playing the role of controllers have demonstrated ...
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03/20/2023
Visual Prompt Multi-Modal Tracking
Visible-modal object tracking gives rise to a series of downstream multi...
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03/13/2023
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering
Deep learning (DL) algorithms have been widely applied to short-term vol...
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03/09/2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
In this paper, we study the problem of temporal video grounding (TVG), w...
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02/24/2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
Histopathological tissue classification is a fundamental task in computa...
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02/20/2023
Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information
Conventional beamforming methods for intelligent reflecting surfaces (IR...
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02/07/2023
Disentangled Causal Embedding With Contrastive Learning For Recommender System
Recommender systems usually rely on observed user interaction data to bu...
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02/02/2023
Sketched Ridgeless Linear Regression: The Role of Downsampling
Overparametrization often helps improve the generalization performance. ...
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01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
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01/17/2023
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
Neural Radiance Fields (NeRF) has achieved impressive results in single ...
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01/06/2023
End-to-End 3D Dense Captioning with Vote2Cap-DETR
3D dense captioning aims to generate multiple captions localized with th...
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12/08/2022
Executing your Commands via Motion Diffusion in Latent Space
We study a challenging task, conditional human motion generation, which ...
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11/21/2022
Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets
Semantic segmentation models based on the conventional neural network ca...
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11/11/2022
An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention
This study proposes an improved end-to-end multi-target tracking algorit...
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11/09/2022
A Linear Time Algorithm for the Optimal Discrete IRS Beamforming
It remains an open problem to find the optimal configuration of phase sh...
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11/03/2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
In this paper, we present Pangu-Weather, a deep learning based system fo...
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10/31/2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks
Heterogeneous graph neural network has unleashed great potential on grap...
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10/29/2022
