b'Yan Liu'

research

∙ 09/04/2023

Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments

Algorithm fairness has become a central problem for the broad adoption o...

0 James Enouen, et al. ∙

research

∙ 08/16/2023

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation

Methods: In this study, a benchmark Abdominal Adipose Tissue CT Image Da...

0 Zhiyu Ma, et al. ∙

research

∙ 08/13/2023

TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution

The goal of scene text image super-resolution is to reconstruct high-res...

0 Baolin Liu, et al. ∙

research

∙ 08/10/2023

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

Structural MRI and PET imaging play an important role in the diagnosis o...

0 Yanteng Zhang, et al. ∙

research

∙ 07/12/2023

GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human

3D human pose estimation has been researched for decades with promising ...

0 Bruce X. B. Yu, et al. ∙

research

∙ 06/27/2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization

Adversarial training is one of the best-performing methods in improving ...

0 Songyang Gao, et al. ∙

research

∙ 06/08/2023

Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification

Whole slide image (WSI) refers to a type of high-resolution scanned tiss...

0 Ruijie Zhang, et al. ∙

research

∙ 05/25/2023

Uncovering and Categorizing Social Biases in Text-to-SQL

Content Warning: This work contains examples that potentially implicate ...

0 Yan Liu, et al. ∙

research

∙ 05/24/2023

Uncovering and Quantifying Social Biases in Code Generation

With the popularity of automatic code generation tools, such as Copilot,...

0 Yan Liu, et al. ∙

research

∙ 04/15/2023

Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model

Recent years have witnessed the sustained evolution of misinformation th...

0 Yizhou Zhang, et al. ∙

research

∙ 04/03/2023

WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation

This paper explores the properties of the plain Vision Transformer (ViT)...

0 Lianghui Zhu, et al. ∙

research

∙ 03/28/2023

Robustness of Complex Networks Considering Load and Cascading Failure under Edge-removal Attack

In the understanding of important edges in complex networks, the edges w...

0 Peng Geng, et al. ∙

research

∙ 03/04/2023

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

Causal analysis for time series data, in particular estimating individua...

0 Defu Cao, et al. ∙

research

∙ 02/23/2023

A novel efficient Multi-view traffic-related object detection framework

With the rapid development of intelligent transportation system applicat...

0 Kun Yang, et al. ∙

research

∙ 02/21/2023

Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios

In order to reveal the rationale behind model predictions, many works ha...

0 Yan Liu, et al. ∙

research

∙ 02/19/2023

Estimating Treatment Effects in Continuous Time with Hidden Confounders

Estimating treatment effects plays a crucial role in causal inference, h...

0 Defu Cao, et al. ∙

research

∙ 01/29/2023

Boosting Automated Patch Correctness Prediction via Pre-trained Language Model

Automated program repair (APR) aims to fix software bugs automatically w...

0 Quanjun Zhang, et al. ∙

research

∙ 11/17/2022

D^3ETR: Decoder Distillation for Detection Transformer

While various knowledge distillation (KD) methods in CNN-based detectors...

0 Xiaokang Chen, et al. ∙

research

∙ 11/17/2022

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift

In electronic trading markets, limit order books (LOBs) provide informat...

0 Defu Cao, et al. ∙

research

∙ 11/08/2022

Significance-Based Categorical Data Clustering

Although numerous algorithms have been proposed to solve the categorical...

0 Lianyu Hu, et al. ∙

research

∙ 11/02/2022

Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality

The transition towards carbon-neutral electricity is one of the biggest ...

0 Le Xie, et al. ∙

research

∙ 10/14/2022

Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media

Recent years have witnessed the rise of misinformation campaigns that sp...

0 Yizhou Zhang, et al. ∙

research

∙ 09/23/2022

The Beauty of Repetition in Machine Composition Scenarios

Repetition, a basic form of artistic creation, appears in most musical w...

0 Zhejing Hu, et al. ∙

research

∙ 09/21/2022

Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling

Transition to Adulthood is an essential life stage for many families. Th...

3 Yan Liu, et al. ∙

research

∙ 09/19/2022

Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection

There is currently a large gap in performance between the statistically ...

5 James Enouen, et al. ∙

research

∙ 08/20/2022

Dual Space Coupling Model Guided Overlap-Free Scatterplot

The overdraw problem of scatterplots seriously interferes with the visua...

0 Zeyu Li, et al. ∙

research

∙ 08/12/2022

Automated Utterance Labeling of Conversations Using Natural Language Processing

Conversational data is essential in psychology because it can help resea...

16 Maria Laricheva, et al. ∙

research

∙ 07/27/2022

3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis

Pathologies systematically induce morphological changes, thus providing ...

0 Elias Munoz, et al. ∙

research

∙ 06/01/2022

The statistical nature of h-index of a network node

Evaluating the importance of a network node is a crucial task in network...

0 Yan Liu, et al. ∙

research

∙ 03/31/2022

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning

Physics-informed machine learning (PIML), referring to the combination o...

0 Chuizheng Meng, et al. ∙

research

∙ 02/24/2022

Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement

Malicious accounts spreading misinformation has led to widespread false ...

0 Karishma Sharma, et al. ∙

research

∙ 02/17/2022

SAITS: Self-Attention-based Imputation for Time Series

Missing data in time series is a pervasive problem that puts obstacles i...

12 Wenjie Du, et al. ∙

research

∙ 02/14/2022

On the Importance of Building High-quality Training Datasets for Neural Code Search

The performance of neural code search is significantly influenced by the...

0 Zhensu Sun, et al. ∙

research

∙ 01/21/2022

Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer

User preference music transfer (UPMT) is a new problem in music style tr...

0 Zhejing Hu, et al. ∙

research

∙ 01/09/2022

Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision

Learning dense point-wise semantics from unstructured 3D point clouds wi...

18 Yan Liu, et al. ∙

research

∙ 01/08/2022

Forecasting Loss of Signal in Optical Networks with Machine Learning

Loss of Signal (LOS) represents a significant cost for operators of opti...

0 Wenjie Du, et al. ∙

research

∙ 11/15/2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning

Clustering of hyperspectral images is a fundamental but challenging task...

0 Yaoming Cai, et al. ∙

research

∙ 10/29/2021

Unsupervised PET Reconstruction from a Bayesian Perspective

Positron emission tomography (PET) reconstruction has become an ill-pose...

0 Chenyu Shen, et al. ∙

research

∙ 10/28/2021

VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media

Recent years have witnessed an increasing use of coordinated accounts on...

0 Yizhou Zhang, et al. ∙

research

∙ 10/27/2021

Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity

Object detection has achieved promising success, but requires large-scal...

8 Yan Liu, et al. ∙

research

∙ 10/12/2021

PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids

The electric grid is a key enabling infrastructure for the ambitious tra...

0 Xiangtian Zheng, et al. ∙

research

∙ 10/11/2021

AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation

Questions in Community Question Answering (CQA) sites are recommended to...

0 Nuo Li, et al. ∙

research

∙ 10/10/2021

Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization

Long text understanding is important yet challenging in natural language...

0 Yan Liu, et al. ∙

research

∙ 09/14/2021

Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition

Non-autoregressive (NAR) transformer models have been studied intensivel...

11 Chuan-Fei Zhang, et al. ∙

research

∙ 09/07/2021

GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition

The data scarcity problem in Electroencephalography (EEG) based affectiv...

11 Zhi Zhang, et al. ∙

research

∙ 09/01/2021

Sparse principal component analysis for high-dimensional stationary time series

We consider the sparse principal component analysis for high-dimensional...

0 Kou Fujimori, et al. ∙

research

∙ 08/18/2021

MeDiaQA: A Question Answering Dataset on Medical Dialogues

In this paper, we introduce MeDiaQA, a novel question answering(QA) data...

0 Huqun Suri, et al. ∙

research

∙ 08/06/2021

StrucTexT: Structured Text Understanding with Multi-Modal Transformers

Structured text understanding on Visually Rich Documents (VRDs) is a cru...

0 Yulin Li, et al. ∙

research

∙ 07/17/2021

Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election

Identifying and characterizing disinformation in political discourse on ...

0 Karishma Sharma, et al. ∙

research

∙ 06/25/2021

Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification

This paper proposes a multi-task learning network with phoneme-aware and...

0 Yan Liu, et al. ∙

Yan Liu

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