b'Wei Zhao'

research

∙ 07/18/2023

Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

The annotation scarcity of medical image segmentation poses challenges i...

0 Heng Li, et al. ∙

research

∙ 06/24/2023

Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices

Recent research has shown that alignment between the structure of graph ...

0 Wei Zhao, et al. ∙

research

∙ 06/22/2023

One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation

Recent works have explored the fundamental role of depth estimation in m...

0 Bohan Li, et al. ∙

research

∙ 06/20/2023

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model

Although previous co-speech gesture generation methods are able to synth...

0 Lianying Yin, et al. ∙

research

∙ 06/13/2023

How Secure is Your Website? A Comprehensive Investigation on CAPTCHA Providers and Solving Services

Completely Automated Public Turing Test To Tell Computers and Humans Apa...

0 Rui Jin, et al. ∙

research

∙ 03/12/2023

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

Sparse-view cone-beam CT (CBCT) reconstruction is an important direction...

0 Yiqun Lin, et al. ∙

research

∙ 02/22/2023

Prediction of single well production rate in water-flooding oil fields driven by the fusion of static, temporal and spatial information

It is very difficult to forecast the production rate of oil wells as the...

0 Chao Min, et al. ∙

research

∙ 02/19/2023

Pseudo Contrastive Learning for Graph-based Semi-supervised Learning

Pseudo Labeling is a technique used to improve the performance of semi-s...

0 Weigang Lu, et al. ∙

research

∙ 01/27/2023

TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization

Stream processing engines (SPEs) are widely used for large scale streami...

0 Anand Jayarajan, et al. ∙

research

∙ 01/18/2023

PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection

In autonomous driving, 3D object detection based on multi-modal data has...

0 Rui Wan, et al. ∙

research

∙ 01/12/2023

1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track

OOD-CV challenge is an out-of-distribution generalization task. To solve...

0 Wei Zhao, et al. ∙

research

∙ 11/18/2022

Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images

Automatic segmentation of head and neck cancer (HNC) tumors and lymph no...

0 Hui Xu, et al. ∙

research

∙ 10/19/2022

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

Recent self-supervised pre-training methods on Heterogeneous Information...

7 Yaming Yang, et al. ∙

research

∙ 08/13/2022

Entropy Induced Pruning Framework for Convolutional Neural Networks

Structured pruning techniques have achieved great compression performanc...

0 Yiheng Lu, et al. ∙

research

∙ 08/09/2022

SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification

Pruning techniques are used comprehensively to compress convolutional ne...

2 Yiheng Lu, et al. ∙

research

∙ 07/16/2022

Learning Quality-aware Dynamic Memory for Video Object Segmentation

Recently, several spatial-temporal memory-based methods have verified th...

2 Yong Liu, et al. ∙

research

∙ 05/03/2022

Residual Graph Convolutional Recurrent Networks For Multi-step Traffic Flow Forecasting

Traffic flow forecasting is essential for traffic planning, control and ...

0 Wei Zhao, et al. ∙

research

∙ 03/21/2022

STCGAT: Spatial-temporal causal networks for complex urban road traffic flow prediction

Traffic forecasting is an essential component of intelligent transportat...

0 Wei Zhao, et al. ∙

research

∙ 02/16/2022

Less is More: Surgical Phase Recognition from Timestamp Supervision

Surgical phase recognition is a fundamental task in computer-assisted su...

5 Zixun Wang, et al. ∙

research

∙ 02/14/2022

What Do They Capture? – A Structural Analysis of Pre-Trained Language Models for Source Code

Recently, many pre-trained language models for source code have been pro...

0 Yao Wan, et al. ∙

research

∙ 01/31/2022

Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations

Multilingual representations pre-trained with monolingual data exhibit c...

0 Wei Zhao, et al. ∙

research

∙ 01/26/2022

DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence

Recently, there has been a growing interest in designing text generation...

0 Wei Zhao, et al. ∙

research

∙ 01/22/2022

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

The goal of Knowledge Tracing (KT) is to estimate how well students have...

0 XiangYu Song, et al. ∙

research

∙ 12/22/2021

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks

Over-smoothing is a challenging problem, which degrades the performance ...

0 Weigang Lu, et al. ∙

research

∙ 12/17/2021

Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network

To date, live-cell imaging at the nanometer scale remains challenging. E...

7 Qian Chen, et al. ∙

research

∙ 12/07/2021

Voxelized 3D Feature Aggregation for Multiview Detection

Multi-view detection incorporates multiple camera views to alleviate occ...

21 Jiahao Ma, et al. ∙

research

∙ 11/25/2021

A Characterization of MDS Symbol-pair Codes over Two Types of Alphabets

Symbol-pair codes are block codes with symbol-pair metrics designed to p...

0 Xilin Tang, et al. ∙

research

∙ 10/20/2021

Better than Average: Paired Evaluation of NLP Systems

Evaluation in NLP is usually done by comparing the scores of competing s...

0 Maxime Peyrard, et al. ∙

research

∙ 10/08/2021

Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors

Evaluation metrics are a key ingredient for progress of text generation ...

0 Marvin Kaster, et al. ∙

research

∙ 09/28/2021

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

The presence of metallic implants often introduces severe metal artifact...

6 Lequan Yu, et al. ∙

research

∙ 09/01/2021

Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast

In this paper, we propose to align sentence representations from differe...

0 Liang Wang, et al. ∙

research

∙ 08/28/2021

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Accurate animal pose estimation is an essential step towards understandi...

3 Hang Yu, et al. ∙

research

∙ 06/08/2021

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

Bid optimization for online advertising from single advertiser's perspec...

0 Ziyu Guan, et al. ∙

research

∙ 05/25/2021

A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction

Deep learning affords enormous opportunities to augment the armamentariu...

36 Liyue Shen, et al. ∙

research

∙ 05/18/2021

Self-interpretable Convolutional Neural Networks for Text Classification

Deep learning models for natural language processing (NLP) are inherentl...

43 Wei Zhao, et al. ∙

research

∙ 05/14/2021

Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection

Previous transfer methods for anomaly detection generally assume the ava...

5 Cangning Fan, et al. ∙

research

∙ 12/18/2020

Regularized Attentive Capsule Network for Overlapped Relation Extraction

Distantly supervised relation extraction has been widely applied in know...

0 Tianyi Liu, et al. ∙

research

∙ 12/10/2020

SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification

The classification of electrocardiogram (ECG) signals, which takes much ...

0 Haozhen Zhang, et al. ∙

research

∙ 10/17/2020

Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction

Distant supervision has been a widely used method for neural relation ex...

0 Pengshuai Li, et al. ∙

research

∙ 09/24/2020

Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems

Automatic math word problem solving has attracted growing attention in r...

0 Wei Zhao, et al. ∙

research

∙ 09/23/2020

Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators

We consider Bayesian high-dimensional mediation analysis to identify amo...

0 Yanyi Song, et al. ∙

research

∙ 08/26/2020

SHAP values for Explaining CNN-based Text Classification Models

Deep neural networks are increasingly used in natural language processin...

0 Wei Zhao, et al. ∙

research

∙ 08/20/2020

Inducing Language-Agnostic Multilingual Representations

Multilingual representations have the potential to make cross-lingual sy...

0 Wei Zhao, et al. ∙

research

∙ 08/14/2020

Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects

Causal mediation analysis aims to characterize an exposure's effect on a...

0 Yanyi Song, et al. ∙

research

∙ 07/23/2020

On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems

IoT security and privacy has raised grave concerns. Efforts have been ma...

0 Kaizheng Liu, et al. ∙

research

∙ 07/07/2020

Sapphire: Automatic Configuration Recommendation for Distributed Storage Systems

Modern distributed storage systems come with aplethora of configurable p...

0 Wenhao Lyu, et al. ∙

research

∙ 05/27/2020

Interpretable and Efficient Heterogeneous Graph Convolutional Network

Graph Convolutional Network (GCN) has achieved extraordinary success in ...

10 Yaming Yang, et al. ∙

research

∙ 04/23/2020

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...

15 Qingsen Yan, et al. ∙

research

∙ 03/26/2020

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

Background: Chest computed tomography (CT) is recognized as an important...

13 Zhenyu Tang, et al. ∙

research

∙ 10/17/2019

Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics

Contrast enhancement (CE) forensics techniques have always been of great...

0 Pengpeng Yang, et al. ∙

Wei Zhao

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