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09/16/2023
CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
Diffusion models (DM) can gradually learn to remove noise, which have be...
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09/14/2023
Large-Vocabulary 3D Diffusion Model with Transformer
Creating diverse and high-quality 3D assets with an automatic generative...
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08/16/2023
Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN
Monocular depth estimation is an ongoing challenge in computer vision. R...
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07/22/2023
Chat-PM: A Class of Composite Hybrid Aerial/Terrestrial Precise Manipulator
This paper concentrates on the development of Chat-PM, a class of compos...
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07/18/2023
Outlier-Robust Tensor Low-Rank Representation for Data Clustering
Low-rank tensor analysis has received widespread attention with many pra...
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06/25/2023
Towards Trustworthy Explanation: On Causal Rationalization
With recent advances in natural language processing, rationalization bec...
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06/08/2023
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism
In this paper, we present a notion of differential privacy (DP) for data...
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05/16/2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Diffusion models have gained significant attention in the realm of image...
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05/16/2023
Fusion-Based Multi-User Semantic Communications for Wireless Image Transmission over Degraded Broadcast Channels
Degraded broadcast channels (DBC) are a typical multi-user communication...
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05/16/2023
CDDM: Channel Denoising Diffusion Models for Wireless Communications
Diffusion models (DM) can gradually learn to remove noise, which have be...
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05/02/2023
Differentially Private In-Context Learning
An important question in deploying large language models (LLMs) is how t...
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04/07/2023
V3Det: Vast Vocabulary Visual Detection Dataset
Recent advances in detecting arbitrary objects in the real world are tra...
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03/16/2023
Self-Consistent Learning: Cooperation between Generators and Discriminators
Using generated data to improve the performance of downstream discrimina...
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01/22/2023
LF-checker: Machine Learning Acceleration of Bounded Model Checking for Concurrency Verification (Competition Contribution)
We describe and evaluate LF-checker, a metaverifier tool based on machin...
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01/18/2023
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Recent advances in modeling 3D objects mostly rely on synthetic datasets...
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12/22/2022
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model
In this paper, we propose a large-scale language pre-training for text G...
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11/28/2022
SLAN: Self-Locator Aided Network for Cross-Modal Understanding
Learning fine-grained interplay between vision and language allows to a ...
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11/24/2022
Identifying discreditable firms in a large-scale ownership network
Violations of laws and regulations about food safety, production safety,...
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08/26/2022
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Neural surface reconstruction aims to reconstruct accurate 3D surfaces b...
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08/17/2022
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
The effective representation, precessing, analysis, and visualization of...
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07/07/2022
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups
We develop data-driven models to predict when a robot should feed during...
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03/16/2022
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Objective: The next generation prosthetic hand that moves and feels like...
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12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
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11/24/2021
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Chamfer Distance (CD) and Earth Mover's Distance (EMD) are two broadly a...
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11/23/2021
Few-Shot Object Detection via Association and DIscrimination
Object detection has achieved substantial progress in the last decade. H...
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07/06/2021
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Ki67 is a significant biomarker in the diagnosis and prognosis of cancer...
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04/06/2021
Adversarial Robustness under Long-Tailed Distribution
Adversarial robustness has attracted extensive studies recently by revea...
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04/01/2021
Towards Evaluating and Training Verifiably Robust Neural Networks
Recent works have shown that interval bound propagation (IBP) can be use...
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03/31/2021
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning
We introduce a new semi-supervised, time series anomaly detection algori...
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03/02/2021
A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint
3D shape editing is widely used in a range of applications such as movie...
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10/13/2020
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
Lip motion reflects behavior characteristics of speakers, and thus can b...
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07/31/2020
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
In this paper, we tackle the issue of physical adversarial examples for ...
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07/19/2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
We present a new loss function called Distribution-Balanced Loss for the...
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06/23/2020
Towards Robust Sensor Fusion in Visual Perception
We study the problem of robust sensor fusion in visual perception, espec...
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02/19/2020
Meta Segmentation Network for Ultra-Resolution Medical Images
Despite recent progress on semantic segmentation, there still exist huge...
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10/07/2019
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
Automatic representation learning of key entities in electronic health r...
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09/26/2019
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning
Models have been proposed to extract temporal patterns from longitudinal...
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09/20/2019
Defending Against Physically Realizable Attacks on Image Classification
We study the problem of defending deep neural network approaches for ima...
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07/05/2019
A Mobile Cloud Collaboration Fall Detection System Based on Ensemble Learning
Falls are one of the important causes of accidental or unintentional inj...
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07/01/2019
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Many computational models were proposed to extract temporal patterns fro...
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05/26/2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology
We predicted residual fluid intelligence scores from T1-weighted MRI dat...
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05/26/2019
ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression
We applied several regression and deep learning methods to predict fluid...
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01/27/2019
Secrecy Outage Analysis of Non-Orthogonal Spectrum Sharing for Heterogeneous Cellular Networks
In this paper, we investigate physical-layer security for a heterogeneou...
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09/14/2018
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording
Understanding the coordinated activity underlying brain computations req...
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12/23/2016
Human Action Attribute Learning From Video Data Using Low-Rank Representations
Representation of human actions as a sequence of human body movements or...
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12/21/2014
Learning the nonlinear geometry of high-dimensional data: Models and algorithms
Modern information processing relies on the axiom that high-dimensional ...
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01/26/2014