b'Jun Wang'

research

∙ 07/02/2022

ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs

Low-overlap regions between paired point clouds make the captured featur...

Honghua Chen, et al. ∙

research

∙ 06/09/2022

AGConv: Adaptive Graph Convolution on 3D Point Clouds

Convolution on 3D point clouds is widely researched yet far from perfect...

Mingqiang Wei, et al. ∙

research

∙ 06/06/2022

Enhancing Safe Exploration Using Safety State Augmentation

Safe exploration is a challenging and important problem in model-free re...

Aivar Sootla, et al. ∙

research

∙ 05/31/2022

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints

Many real-world settings involve costs for performing actions; transacti...

David Mguni, et al. ∙

research

∙ 05/31/2022

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images

Computer-aided diagnosis (CAD) can help pathologists improve diagnostic ...

Jun Shi, et al. ∙

research

∙ 05/30/2022

SEREN: Knowing When to Explore and When to Exploit

Efficient reinforcement learning (RL) involves a trade-off between "expl...

Changmin Yu, et al. ∙

research

∙ 05/29/2022

SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models

Large scale pre-training models have been widely used in named entity re...

Changyu Hou, et al. ∙

research

∙ 05/26/2022

Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission

As one novel approach to realize end-to-end wireless image semantic tran...

Jun Wang, et al. ∙

research

∙ 05/22/2022

System-Level Evaluation of Beam Hopping in NR-Based LEO Satellite Communication System

Satellite communication by leveraging the use of low earth orbit (LEO) s...

Jingwei Zhang, et al. ∙

research

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

Yang Yang, et al. ∙

research

∙ 05/18/2022

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking

This paper describes the PASH participation in TREC 2021 Deep Learning T...

Yixuan Qiao, et al. ∙

research

∙ 05/14/2022

An Architecture for the detection of GAN-generated Flood Images with Localization Capabilities

In this paper, we address a new image forensics task, namely the detecti...

Jun Wang, et al. ∙

research

∙ 04/28/2022

BI-GreenNet: Learning Green's functions by boundary integral network

Green's function plays a significant role in both theoretical analysis a...

Guochang Lin, et al. ∙

research

∙ 04/24/2022

M2N: Mesh Movement Networks for PDE Solvers

Mainstream numerical Partial Differential Equation (PDE) solvers require...

Wenbin Song, et al. ∙

research

∙ 04/06/2022

Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension

Procedural Multimodal Documents (PMDs) organize textual instructions and...

Huibin Zhang, et al. ∙

research

∙ 04/02/2022

Deep Algebraic Fitting for Multiple Circle Primitives Extraction from Raw Point Clouds

The shape of circle is one of fundamental geometric primitives of man-ma...

Zeyong Wei, et al. ∙

research

∙ 03/23/2022

Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds

Point normal, as an intrinsic geometric property of 3D objects, not only...

Haoran Zhou, et al. ∙

research

∙ 03/16/2022

PointAttN: You Only Need Attention for Point Cloud Completion

Point cloud completion referring to completing 3D shapes from partial 3D...

Jun Wang, et al. ∙

research

∙ 03/04/2022

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization

Recent progress in state-only imitation learning extends the scope of ap...

Minghuan Liu, et al. ∙

research

∙ 03/02/2022

CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer

Anti-cancer drug discoveries have been serendipitous, we sought to prese...

Xianbin Ye, et al. ∙

research

∙ 02/21/2022

A wonderful triangle in compressed sensing

In order to determine the sparse approximation function which has a dire...

Jun Wang, et al. ∙

research

∙ 02/18/2022

How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?

Cross-domain few-shot learning (CDFSL) remains a largely unsolved proble...

Yiyi Zhang, et al. ∙

research

∙ 02/14/2022

SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

Satisfying safety constraints almost surely (or with probability one) ca...

Aivar Sootla, et al. ∙

research

∙ 02/14/2022

Reinforcement Learning in Presence of Discrete Markovian Context Evolution

We consider a context-dependent Reinforcement Learning (RL) setting, whi...

Hang Ren, et al. ∙

research

∙ 02/09/2022

Obtaining Dyadic Fairness by Optimal Transport

Fairness has been taken as a critical metric on machine learning models....

Moyi Yang, et al. ∙

research

∙ 02/03/2022

HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits

Reconstruction of high-fidelity 3D objects or scenes is a fundamental re...

Yabin Xu, et al. ∙

research

∙ 01/25/2022

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit

Automatic detection of polyps is challenging because different polyps va...

Jianwei Xu, et al. ∙

research

∙ 01/22/2022

Chinese Word Segmentation with Heterogeneous Graph Neural Network

In recent years, deep learning has achieved significant success in the C...

Xuemei Tang, et al. ∙

research

∙ 01/17/2022

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning

Many real-world scenarios involve a team of agents that have to coordina...

Jingqing Ruan, et al. ∙

research

∙ 01/12/2022

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach

The Elo rating system is widely adopted to evaluate the skills of (chess...

Xue Yan, et al. ∙

research

∙ 01/10/2022

Differentiable and Scalable Generative Adversarial Models for Data Imputation

Data imputation has been extensively explored to solve the missing data ...

Yangyang Wu, et al. ∙

research

∙ 12/31/2021

Data-Free Knowledge Transfer: A Survey

In the last decade, many deep learning models have been well trained and...

Yuang Liu, et al. ∙

research

∙ 12/09/2021

Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks

Building damage detection after natural disasters like earthquakes is cr...

Jun Wang, et al. ∙

research

∙ 12/07/2021

Understanding Square Loss in Training Overparametrized Neural Network Classifiers

Deep learning has achieved many breakthroughs in modern classification t...

Tianyang Hu, et al. ∙

research

∙ 11/24/2021

Learning State Representations via Retracing in Reinforcement Learning

We propose learning via retracing, a novel self-supervised approach for ...

Changmin Yu, et al. ∙

research

∙ 11/11/2021

BOiLS: Bayesian Optimisation for Logic Synthesis

Optimising the quality-of-results (QoR) of circuits during logic synthes...

Antoine Grosnit, et al. ∙

research

∙ 11/07/2021

MetaMIML: Meta Multi-Instance Multi-Label Learning

Multi-Instance Multi-Label learning (MIML) models complex objects (bags)...

Yuanlin Yang, et al. ∙

research

∙ 10/28/2021

Dispensed Transformer Network for Unsupervised Domain Adaptation

Accurate segmentation is a crucial step in medical image analysis and ap...

Yunxiang Li, et al. ∙

research

∙ 10/26/2021

Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks

Self-supervised learning has gradually emerged as a powerful technique f...

Pengyong Li, et al. ∙

research

∙ 10/21/2021

A channel attention based MLP-Mixer network for motor imagery decoding with EEG

Convolutional neural networks (CNNs) and their variants have been succes...

Yanbin He, et al. ∙

research

∙ 10/01/2021

BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks

We propose a method combining boundary integral equations and neural net...

Guochang Lin, et al. ∙

research

∙ 09/30/2021

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation

To achieve an accurate assessment of root canal therapy, a fundamental s...

Yunxiang Li, et al. ∙

research

∙ 09/23/2021

Cross Attention-guided Dense Network for Images Fusion

In recent years, various applications in computer vision have achieved s...

Zhengwen Shen, et al. ∙

research

∙ 09/05/2021

Recommendation Fairness: From Static to Dynamic

Driven by the need to capture users' evolving interests and optimize the...

Dell Zhang, et al. ∙

research

∙ 08/25/2021

PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining

Weakly Supervised Object Detection (WSOD), aiming to train detectors wit...

Jun Wang, et al. ∙

research

∙ 08/17/2021

Learning to Compute Approximate Nash Equilibrium for Normal-form Games

In this paper, we propose a general meta learning approach to computing ...

Zhijian Duan, et al. ∙

research

∙ 08/13/2021

Hierarchical Image-Goal Navigation in Real Crowded Scenarios

This work studies the problem of image-goal navigation, which entails gu...

Qiaoyun Wu, et al. ∙

research

∙ 08/10/2021

Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization

An algebraic modeling system (AMS) is a type of mathematical software fo...

Xihan Li, et al. ∙

research

∙ 07/31/2021

Distributed Learning for Time-varying Networks: A Scalable Design

The wireless network is undergoing a trend from "onnection of things" to...

Jian Wang, et al. ∙

research

∙ 07/19/2021

A unified polar decoder platform for low-power and low-cost devices

In this paper, we design a polar decoding platform for diverse applicati...

Jiajie Tong, et al. ∙

Jun Wang

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