b'Han Wu'

research

∙ 07/24/2023

Multi-View Vertebra Localization and Identification from CT Images

Accurately localizing and identifying vertebrae from CT images is crucia...

0 Han Wu, et al. ∙

research

∙ 06/21/2023

Qini Curves for Multi-Armed Treatment Rules

Qini curves have emerged as an attractive and popular approach for evalu...

0 Erik Sverdrup, et al. ∙

research

∙ 05/13/2023

Self-Supervised Sentence Compression for Meeting Summarization

The conventional summarization model often fails to capture critical inf...

0 Haochen Tan, et al. ∙

research

∙ 05/12/2023

Towards Versatile and Efficient Visual Knowledge Injection into Pre-trained Language Models with Cross-Modal Adapters

Humans learn language via multi-modal knowledge. However, due to the tex...

0 Xinyun Zhang, et al. ∙

research

∙ 05/09/2023

VCSUM: A Versatile Chinese Meeting Summarization Dataset

Compared to news and chat summarization, the development of meeting summ...

0 Han Wu, et al. ∙

research

∙ 03/26/2023

Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction

Cone Beam Computed Tomography (CBCT) is the most widely used imaging met...

0 Zhentao Liu, et al. ∙

research

∙ 02/03/2023

GTV: Generating Tabular Data via Vertical Federated Learning

Generative Adversarial Networks (GANs) have achieved state-of-the-art re...

0 Zilong Zhao, et al. ∙

research

∙ 12/13/2022

FastMIM: Expediting Masked Image Modeling Pre-training for Vision

The combination of transformers and masked image modeling (MIM) pre-trai...

0 Jianyuan Guo, et al. ∙

research

∙ 11/07/2022

Detecting Interference in A/B Testing with Increasing Allocation

In the past decade, the technology industry has adopted online randomize...

0 Kevin Han, et al. ∙

research

∙ 10/28/2022

Distributed Black-box Attack against Image Classification Cloud Services

Black-box adversarial attacks can fool image classifiers into misclassif...

0 Han Wu, et al. ∙

research

∙ 10/13/2022

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy

Federated Learning (FL) has emerged as a potentially powerful privacy-pr...

0 Han Wu, et al. ∙

research

∙ 09/05/2022

Adversarial Detection: Attacking Object Detection in Real Time

Intelligent robots rely on object detection models to perceive the envir...

0 Han Wu, et al. ∙

research

∙ 09/02/2022

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion

Knowledge graphs (KGs) are known for their large scale and knowledge inf...

0 Han Wu, et al. ∙

research

∙ 08/15/2022

Joint Communication and Channel Discrimination

We consider a basic joint communication and sensing setup comprising a t...

0 Han Wu, et al. ∙

research

∙ 08/15/2022

Man-in-the-Middle Attack against Object Detection Systems

Is deep learning secure for robots? As embedded systems have access to m...

0 Han Wu, et al. ∙

research

∙ 06/05/2022

LDRNet: Enabling Real-time Document Localization on Mobile Devices

While Identity Document Verification (IDV) technology on mobile devices ...

0 Han Wu, et al. ∙

research

∙ 05/29/2022

Learning Locality and Isotropy in Dialogue Modeling

Existing dialogue modeling methods have achieved promising performance o...

0 Han Wu, et al. ∙

research

∙ 04/29/2022

Learning Localization-aware Target Confidence for Siamese Visual Tracking

Siamese tracking paradigm has achieved great success, providing effectiv...

2 Jiahao Nie, et al. ∙

research

∙ 04/11/2022

Zero-shot Cross-lingual Conversational Semantic Role Labeling

While conversational semantic role labeling (CSRL) has shown its usefuln...

0 Han Wu, et al. ∙

research

∙ 03/11/2022

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings

Contrastive learning has shown great potential in unsupervised sentence ...

0 Haochen Tan, et al. ∙

research

∙ 03/11/2022

CBlockSim: A Modular High-Performance Blockchain Simulator

Blockchain has attracted much attention from both academia and industry ...

0 Xuyang Ma, et al. ∙

research

∙ 03/02/2022

Partial Likelihood Thompson Sampling

We consider the problem of deciding how best to target and prioritize ex...

0 Han Wu, et al. ∙

research

∙ 02/25/2022

Ensemble Method for Estimating Individualized Treatment Effects

In many medical and business applications, researchers are interested in...

0 Kevin Wu Han, et al. ∙

research

∙ 02/24/2022

Thompson Sampling with Unrestricted Delays

We investigate properties of Thompson Sampling in the stochastic multi-a...

0 Han Wu, et al. ∙

research

∙ 02/02/2022

On Joint Communication and Channel Discrimination

We consider a basic communication and sensing setup comprising a transmi...

0 Han Wu, et al. ∙

research

∙ 12/17/2021

Know Your Customer: Balancing Innovation and Regulation for Financial Inclusion

Financial inclusion depends on providing adjusted services for citizens ...

0 Karen Elliott, et al. ∙

research

∙ 11/05/2021

Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies

Internet companies are increasingly using machine learning models to cre...

14 Han Wu, et al. ∙

research

∙ 09/23/2021

CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling

Conversational semantic role labeling (CSRL) is believed to be a crucial...

0 Han Wu, et al. ∙

research

∙ 08/30/2021

Hire-MLP: Vision MLP via Hierarchical Rearrangement

This paper presents Hire-MLP, a simple yet competitive vision MLP archit...

0 Jianyuan Guo, et al. ∙

research

∙ 08/20/2021

Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server

In this paper, we study the privacy-preserving task assignment in spatia...

0 Maocheng Li, et al. ∙

research

∙ 07/13/2021

CMT: Convolutional Neural Networks Meet Vision Transformers

Vision transformers have been successfully applied to image recognition ...

0 Jianyuan Guo, et al. ∙

research

∙ 05/28/2021

Domain-Adaptive Pretraining Methods for Dialogue Understanding

Language models like BERT and SpanBERT pretrained on open-domain data ha...

0 Han Wu, et al. ∙

research

∙ 04/11/2021

Conversational Semantic Role Labeling

Semantic role labeling (SRL) aims to extract the arguments for each pred...

0 Kun Xu, et al. ∙

research

∙ 03/26/2021

Distilling Object Detectors via Decoupled Features

Knowledge distillation is a widely used paradigm for inheriting informat...

0 Jianyuan Guo, et al. ∙

research

∙ 03/16/2021

Adversarial Driving: Attacking End-to-End Autonomous Driving Systems

As the research in deep neural networks advances, deep convolutional net...

0 Han Wu, et al. ∙

research

∙ 10/03/2020

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter

For multi-turn dialogue rewriting, the capacity of effectively modeling ...

0 Kun Xu, et al. ∙

research

∙ 09/30/2020

Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task

Black-box nature hinders the deployment of many high-accuracy models in ...

0 Han Wu, et al. ∙

research

∙ 09/21/2020

Time-of-Flight LiDAR-based Precise Mapping

Last two decades, the problem of robotic mapping has made a lot of progr...

0 Han Wu, et al. ∙

research

∙ 04/20/2020

Noise-Induced Randomization in Regression Discontinuity Designs

Regression discontinuity designs are used to estimate causal effects in ...

0 Dean Eckles, et al. ∙

research

∙ 03/26/2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

Neural Architecture Search (NAS) has achieved great success in image cla...

4 Jianyuan Guo, et al. ∙

research

∙ 03/15/2020

CoinMagic: A Differential Privacy Framework for Ring Signature Schemes

By allowing users to obscure their transactions via including "mixins" (...

0 Wangze Ni, et al. ∙

research

∙ 10/27/2019

Long-term Joint Scheduling for Urban Traffic

Recently, the traffic congestion in modern cities has become a growing w...

0 Xianfeng Liang, et al. ∙

research

∙ 09/01/2019

Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking

Object tracking has been studied for decades, but most of the existing w...

0 Han Wu, et al. ∙

research

∙ 05/27/2019

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

Recently, the Network Representation Learning (NRL) techniques, which re...

0 Hao Wang, et al. ∙

Han Wu

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