b'Yu Wang'

research

∙ 07/01/2022

Point Cloud Change Detection With Stereo V-SLAM:Dataset, Metrics and Baseline

Localization and navigation are basic robotic tasks requiring an accurat...

Zihan Lin, et al. ∙

research

∙ 06/30/2022

Multi-Granularity Regularized Re-Balancing for Class Incremental Learning

Deep learning models suffer from catastrophic forgetting when learning n...

Huitong Chen, et al. ∙

research

∙ 06/24/2022

On Structural Explanation of Bias in Graph Neural Networks

Graph Neural Networks (GNNs) have shown satisfying performance in variou...

Yushun Dong, et al. ∙

research

∙ 06/23/2022

LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network

This technical report presents the 1st place winning solution for the Wa...

Dongqiangzi Ye, et al. ∙

research

∙ 06/09/2022

Spatial-temporal Concept based Explanation of 3D ConvNets

Recent studies have achieved outstanding success in explaining 2D image ...

Ying Ji, et al. ∙

research

∙ 06/07/2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

Graph Neural Networks (GNNs) have shown great power in learning node rep...

Yu Wang, et al. ∙

research

∙ 05/31/2022

Differentiable Invariant Causal Discovery

Learning causal structure from observational data is a fundamental chall...

Yu Wang, et al. ∙

research

∙ 05/23/2022

Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies

The current work on reinforcement learning (RL) from demonstrations ofte...

Yu Wang, et al. ∙

research

∙ 05/17/2022

Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation

Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual ne...

Yu Wang, et al. ∙

research

∙ 05/14/2022

BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification

CT-based bronchial tree analysis plays an important role in the computer...

Wenhao Huang, et al. ∙

research

∙ 05/13/2022

Self-Supervised Masking for Unsupervised Anomaly Detection and Localization

Recently, anomaly detection and localization in multimedia data have rec...

Chaoqin Huang, et al. ∙

research

∙ 05/03/2022

Few-Shot Musical Source Separation

Deep learning-based approaches to musical source separation are often li...

Yu Wang, et al. ∙

research

∙ 04/26/2022

GypSum: Learning Hybrid Representations for Code Summarization

Code summarization with deep learning has been widely studied in recent ...

Yu Wang, et al. ∙

research

∙ 04/21/2022

R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction

Fine-grained visual categorization (FGVC) aims to discriminate similar s...

Yu Wang, et al. ∙

research

∙ 04/18/2022

Robust End-to-end Speaker Diarization with Generic Neural Clustering

End-to-end speaker diarization approaches have shown exceptional perform...

Chenyu Yang, et al. ∙

research

∙ 04/07/2022

Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data

We consider the flare prediction problem that distinguishes flare-immine...

Zeyu Sun, et al. ∙

research

∙ 03/19/2022

Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation

Semantic segmentation with limited annotations, such as weakly supervise...

Junwen Pan, et al. ∙

research

∙ 03/17/2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation

Federated Learning (FL) on knowledge graphs (KGs) has yet to be as well ...

Kai Zhang, et al. ∙

research

∙ 02/24/2022

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration

Autonomous exploration and mapping of unknown terrains employing single ...

Yuanfan Xu, et al. ∙

research

∙ 02/13/2022

A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation

Automatic segmentation of glioma and its subregions is of great signific...

Yu Wang, et al. ∙

research

∙ 01/25/2022

Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment

For scenes such as floods and earthquakes, the disaster area is large, a...

Hongyu Song, et al. ∙

research

∙ 01/19/2022

Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis

This paper introduces Opencpop, a publicly available high-quality Mandar...

Yu Wang, et al. ∙

research

∙ 01/17/2022

Low hardware consumption, resolution-configurable Gray code oscillator time-to-digital converters implemented in 16nm, 20nm and 28nm FPGAs

This paper presents a low hardware consumption, resolution-configurable,...

Yu Wang, et al. ∙

research

∙ 01/02/2022

Improving Out-of-Distribution Robustness via Selective Augmentation

Machine learning algorithms typically assume that training and test exam...

Huaxiu Yao, et al. ∙

research

∙ 12/15/2021

Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

Our work reveals a structured shortcoming of the existing mainstream sel...

Yu Wang, et al. ∙

research

∙ 12/14/2021

A Style and Semantic Memory Mechanism for Domain Generalization

Mainstream state-of-the-art domain generalization algorithms tend to pri...

Yang Chen, et al. ∙

research

∙ 12/14/2021

Transferrable Contrastive Learning for Visual Domain Adaptation

Self-supervised learning (SSL) has recently become the favorite among fe...

Yang Chen, et al. ∙

research

∙ 12/12/2021

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward

Discovering hazardous scenarios is crucial in testing and further improv...

Weilin Liu, et al. ∙

research

∙ 12/08/2021

Multiway Ensemble Kalman Filter

In this work, we study the emergence of sparsity and multiway structures...

Yu Wang, et al. ∙

research

∙ 12/01/2021

Imbalanced Graph Classification via Graph-of-Graph Neural Networks

Graph Neural Networks (GNNs) have achieved unprecedented success in lear...

Yu Wang, et al. ∙

research

∙ 11/23/2021

Learning Dynamic Preference Structure Embedding From Temporal Networks

The dynamics of temporal networks lie in the continuous interactions bet...

Tongya Zheng, et al. ∙

research

∙ 11/14/2021

Relative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning

Multi-agent formation as well as obstacle avoidance is one of the most a...

Yuzi Yan, et al. ∙

research

∙ 11/09/2021

Dynamics of charged particles moving around Kerr black hole with inductive charge and external magnetic field

We mainly focus on the effects of small changes of parameters on the dyn...

Xin Sun, et al. ∙

research

∙ 11/08/2021

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

We introduce a curriculum learning algorithm, Variational Automatic Curr...

Jiayu Chen, et al. ∙

research

∙ 10/28/2021

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae

Spinal degeneration plagues many elders, office workers, and even the yo...

Jiabo He, et al. ∙

research

∙ 10/26/2021

Meta-learning with an Adaptive Task Scheduler

To benefit the learning of a new task, meta-learning has been proposed t...

Huaxiu Yao, et al. ∙

research

∙ 10/22/2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification

Recent years have witnessed the significant success of applying graph ne...

Yu Wang, et al. ∙

research

∙ 10/18/2021

Who calls the shots? Rethinking Few-Shot Learning for Audio

Few-shot learning aims to train models that can recognize novel classes ...

Yu Wang, et al. ∙

research

∙ 10/12/2021

Learning Efficient Multi-Agent Cooperative Visual Exploration

We consider the task of visual indoor exploration with multiple agents, ...

Chao Yu, et al. ∙

research

∙ 09/22/2021

Efficient Context-Aware Network for Abdominal Multi-organ Segmentation

The contextual information, presented in abdominal CT scan, is relative ...

Fan Zhang, et al. ∙

research

∙ 09/05/2021

A drl based distributed formation control scheme with stream based collision avoidance

Formation and collision avoidance abilities are essential for multi-agen...

Xinyou Qiu, et al. ∙

research

∙ 08/28/2021

Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models

Fast inference of numerical model parameters from data is an important p...

Yu Wang, et al. ∙

research

∙ 08/26/2021

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN

In the information explosion era, recommender systems (RSs) are widely s...

Yu Wang, et al. ∙

research

∙ 08/25/2021

Tree Decomposed Graph Neural Network

Graph Neural Networks (GNNs) have achieved significant success in learni...

Yu Wang, et al. ∙

research

∙ 08/05/2021

A Low Rank Promoting Prior for Unsupervised Contrastive Learning

Unsupervised learning is just at a tipping point where it could really t...

Yu Wang, et al. ∙

research

∙ 07/28/2021

United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks

Attempts of learning from hierarchical taxonomies in computer vision hav...

Sindi Shkodrani, et al. ∙

research

∙ 07/27/2021

Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification

Node features and structural information of a graph are both crucial for...

Yu Wang, et al. ∙

research

∙ 07/25/2021

An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture

Fixating fractured pelvis fragments with the sacroiliac screw is a commo...

Qing Yang, et al. ∙

research

∙ 07/08/2021

A Federated Semi-Supervised Learning Approach for Network Traffic Classification

Network traffic classification, a task to classify network traffic and i...

Yao Peng, et al. ∙

research

∙ 07/06/2021

Tactile Sensing with a Tendon-Driven Soft Robotic Finger

In this paper, a novel tactile sensing mechanism for soft robotic finger...

Chang Cheng, et al. ∙

Yu Wang

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