b'Tong Wu'

research

∙ 09/16/2023

CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications

Diffusion models (DM) can gradually learn to remove noise, which have be...

0 Tong Wu, et al. ∙

research

∙ 09/14/2023

Large-Vocabulary 3D Diffusion Model with Transformer

Creating diverse and high-quality 3D assets with an automatic generative...

0 Ziang Cao, et al. ∙

research

∙ 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...

0 Jiawei Yao, et al. ∙

research

∙ 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...

0 Yihang Ding, et al. ∙

research

∙ 07/18/2023

Outlier-Robust Tensor Low-Rank Representation for Data Clustering

Low-rank tensor analysis has received widespread attention with many pra...

0 Tong Wu, et al. ∙

research

∙ 06/25/2023

Towards Trustworthy Explanation: On Causal Rationalization

With recent advances in natural language processing, rationalization bec...

0 Wenbo Zhang, et al. ∙

research

∙ 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...

0 Raksha Ramakrishna, et al. ∙

research

∙ 05/16/2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

Diffusion models have gained significant attention in the realm of image...

0 Tong Wu, et al. ∙

research

∙ 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...

0 Tong Wu, et al. ∙

research

∙ 05/16/2023

CDDM: Channel Denoising Diffusion Models for Wireless Communications

Diffusion models (DM) can gradually learn to remove noise, which have be...

0 Tong Wu, et al. ∙

research

∙ 05/02/2023

Differentially Private In-Context Learning

An important question in deploying large language models (LLMs) is how t...

0 Ashwinee Panda, et al. ∙

research

∙ 04/07/2023

V3Det: Vast Vocabulary Visual Detection Dataset

Recent advances in detecting arbitrary objects in the real world are tra...

0 Jiaqi Wang, et al. ∙

research

∙ 03/16/2023

Self-Consistent Learning: Cooperation between Generators and Discriminators

Using generated data to improve the performance of downstream discrimina...

0 Tong Wu, et al. ∙

research

∙ 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...

0 Tong Wu, et al. ∙

research

∙ 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...

3 Tong Wu, et al. ∙

research

∙ 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...

0 Zhenghao Lin, et al. ∙

research

∙ 11/28/2022

SLAN: Self-Locator Aided Network for Cross-Modal Understanding

Learning fine-grained interplay between vision and language allows to a ...

0 Jiang-Tian Zhai, et al. ∙

research

∙ 11/24/2022

Identifying discreditable firms in a large-scale ownership network

Violations of laws and regulations about food safety, production safety,...

0 Tao Zhou, et al. ∙

research

∙ 08/26/2022

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

Neural surface reconstruction aims to reconstruct accurate 3D surfaces b...

2 Tong Wu, et al. ∙

research

∙ 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...

0 Tong Wu, et al. ∙

research

∙ 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...

0 Jan Ondras, et al. ∙

research

∙ 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...

0 Diu Khue Luu, et al. ∙

research

∙ 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...

18 Liang Pan, et al. ∙

research

∙ 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...

0 Tong Wu, et al. ∙

research

∙ 11/23/2021

Few-Shot Object Detection via Association and DIscrimination

Object detection has achieved substantial progress in the last decade. H...

0 Yuhang Cao, et al. ∙

research

∙ 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...

10 Jiatong Cai, et al. ∙

research

∙ 04/06/2021

Adversarial Robustness under Long-Tailed Distribution

Adversarial robustness has attracted extensive studies recently by revea...

0 Tong Wu, et al. ∙

research

∙ 04/01/2021

Towards Evaluating and Training Verifiably Robust Neural Networks

Recent works have shown that interval bound propagation (IBP) can be use...

0 Zhaoyang Lyu, et al. ∙

research

∙ 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...

59 Tong Wu, et al. ∙

research

∙ 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...

0 Yu-Jie Yuan, et al. ∙

research

∙ 10/13/2020

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

Lip motion reflects behavior characteristics of speakers, and thus can b...

0 Jianrong Wang, et al. ∙

research

∙ 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 ...

4 Tong Wu, et al. ∙

research

∙ 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...

26 Tong Wu, et al. ∙

research

∙ 06/23/2020

Towards Robust Sensor Fusion in Visual Perception

We study the problem of robust sensor fusion in visual perception, espec...

0 Shaojie Wang, et al. ∙

research

∙ 02/19/2020

Meta Segmentation Network for Ultra-Resolution Medical Images

Despite recent progress on semantic segmentation, there still exist huge...

14 Tong Wu, et al. ∙

research

∙ 10/07/2019

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

Automatic representation learning of key entities in electronic health r...

0 Tong Wu, et al. ∙

research

∙ 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...

0 Yue Wang, et al. ∙

research

∙ 09/20/2019

Defending Against Physically Realizable Attacks on Image Classification

We study the problem of defending deep neural network approaches for ima...

13 Tong Wu, et al. ∙

research

∙ 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...

0 Tong Wu, et al. ∙

research

∙ 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...

0 Fan Zhang, et al. ∙

research

∙ 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...

0 Neil P. Oxtoby, et al. ∙

research

∙ 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...

0 Agoston Mihalik, et al. ∙

research

∙ 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...

0 Yulong Zou, et al. ∙

research

∙ 09/14/2018

Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording

Understanding the coordinated activity underlying brain computations req...

6 Tong Wu, et al. ∙

research

∙ 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...

0 Tong Wu, et al. ∙

research

∙ 12/21/2014

Learning the nonlinear geometry of high-dimensional data: Models and algorithms

Modern information processing relies on the axiom that high-dimensional ...

0 Tong Wu, et al. ∙

research

∙ 01/26/2014

Painting Analysis Using Wavelets and Probabilistic Topic Models

In this paper, computer-based techniques for stylistic analysis of paint...

0 Tong Wu, et al. ∙

Tong Wu

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