b'Bin Wang'

research

∙ 07/16/2022

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

Adversarial training, as one of the most effective defense methods again...

Xiaoyu Liang, et al. ∙

research

∙ 07/12/2022

CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations

Translation, rotation, and scaling are three commonly used geometric man...

Xiou Ge, et al. ∙

research

∙ 07/04/2022

Hessian-Free Second-Order Adversarial Examples for Adversarial Learning

Recent studies show deep neural networks (DNNs) are extremely vulnerable...

Yaguan Qian, et al. ∙

research

∙ 07/03/2022

Continuous-stage symplectic adapted exponential methods for charged-particle dynamics with arbitrary electromagnetic fields

This paper is devoted to the numerical symplectic approximation of the c...

Ting Li, et al. ∙

research

∙ 06/25/2022

Geometry Contrastive Learning on Heterogeneous Graphs

Self-supervised learning (especially contrastive learning) methods on he...

Shichao Zhu, et al. ∙

research

∙ 06/20/2022

SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation

Word Mover's Distance (WMD) computes the distance between words and mode...

Chengwei Wei, et al. ∙

research

∙ 06/17/2022

A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA

The numerical reasoning in the financial domain – performing quantitativ...

Bin Wang, et al. ∙

research

∙ 05/30/2022

Confederated Learning: Federated Learning with Decentralized Edge Servers

Federated learning (FL) is an emerging machine learning paradigm that al...

Bin Wang, et al. ∙

research

∙ 05/21/2022

Transformer based Generative Adversarial Network for Liver Segmentation

Automated liver segmentation from radiology scans (CT, MRI) can improve ...

Ugur Demir, et al. ∙

research

∙ 05/19/2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

The ever-growing model size and scale of compute have attracted increasi...

Yang Xiang, et al. ∙

research

∙ 05/17/2022

Unified Interactive Image Matting

Recent image matting studies are developing towards proposing trimap-fre...

Stephen. D. H Yang, et al. ∙

research

∙ 05/17/2022

Semi-discretization and full-discretization with optimal accuracy for charged-particle dynamics in a strong nonuniform magnetic field

The aim of this paper is to formulate and analyze numerical discretizati...

Bin Wang, et al. ∙

research

∙ 05/17/2022

Large-stepsize integrators with improved uniform accuracy and long time conservation for highly oscillatory systems with large initial data

In this paper, we are concerned with large-stepsize highly accurate inte...

Bin Wang, et al. ∙

research

∙ 04/29/2022

Long term analysis of splitting methods for charged-particle dynamics

In this paper, we rigorously analyze the energy, momentum and magnetic m...

Xicui Li, et al. ∙

research

∙ 04/06/2022

C3KG: A Chinese Commonsense Conversation Knowledge Graph

Existing commonsense knowledge bases often organize tuples in an isolate...

Dawei Li, et al. ∙

research

∙ 03/31/2022

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

Recommender systems have been widely deployed in many real-world applica...

Jiangxia Cao, et al. ∙

research

∙ 03/05/2022

Just Rank: Rethinking Evaluation with Word and Sentence Similarities

Word and sentence embeddings are useful feature representations in natur...

Bin Wang, et al. ∙

research

∙ 03/03/2022

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

Although domain adaptation has been extensively studied in natural image...

Bo Zhang, et al. ∙

research

∙ 02/09/2022

The Volcspeech system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

This paper describes our submission to ICASSP 2022 Multi-channel Multi-p...

Chen Shen, et al. ∙

research

∙ 01/25/2022

MOORe: Model-based Offline-to-Online Reinforcement Learning

With the success of offline reinforcement learning (RL), offline trained...

Yihuan Mao, et al. ∙

research

∙ 01/22/2022

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting

Weather Forecasting is an attractive challengeable task due to its influ...

Minbo Ma, et al. ∙

research

∙ 12/27/2021

ViR:the Vision Reservoir

The most recent year has witnessed the success of applying the Vision Tr...

Xian Wei, et al. ∙

research

∙ 12/19/2021

CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding

Entity type prediction is an important problem in knowledge graph (KG) r...

Xiou Ge, et al. ∙

research

∙ 12/17/2021

KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling

Knowledge base completion is formulated as a binary classification probl...

Yun-Cheng Wang, et al. ∙

research

∙ 12/16/2021

Geometric continuous-stage exponential energy-preserving integrators for charged-particle dynamics in a magnetic field from normal to strong regimes

This paper is concerned with geometric exponential energy-preserving int...

Ting Li, et al. ∙

research

∙ 12/15/2021

SanMove: Next Location Recommendation via Self-Attention Network

Currently, next location recommendation plays a vital role in location-b...

Huifeng Li, et al. ∙

research

∙ 12/02/2021

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors

Fusion technique is a key research topic in multimodal sentiment analysi...

Huaishao Luo, et al. ∙

research

∙ 11/18/2021

Learning Modified Indicator Functions for Surface Reconstruction

Surface reconstruction is a fundamental problem in 3D graphics. In this ...

Dong Xiao, et al. ∙

research

∙ 10/29/2021

PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation

A neural network targeting at unsupervised image anomaly localization, c...

Kaitai Zhang, et al. ∙

research

∙ 10/28/2021

Geometric two-scale integrators for highly oscillatory system: uniform accuracy and near conservations

In this paper, we consider a class of highly oscillatory Hamiltonian sys...

Bin Wang, et al. ∙

research

∙ 10/26/2021

Task-Specific Dependency-based Word Embedding Methods

Two task-specific dependency-based word embedding methods are proposed f...

Chengwei Wei, et al. ∙

research

∙ 10/15/2021

PG^2Net: Personalized and Group Preferences Guided Network for Next Place Prediction

Predicting the next place to visit is a key in human mobility behavior m...

Huifeng Li, et al. ∙

research

∙ 10/15/2021

EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation

In this paper, we consider the problem of reference-based video super-re...

Yaping Zhao, et al. ∙

research

∙ 10/08/2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization

Circuit routing has been a historically challenging problem in designing...

Shiyu Huang, et al. ∙

research

∙ 09/19/2021

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

Unsupervised domain adaptive object detection aims to adapt a well-train...

Bo Zhang, et al. ∙

research

∙ 08/30/2021

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

Unsupervised domain adaptive object detection aims to adapt a well-train...

Bo Zhang, et al. ∙

research

∙ 08/30/2021

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

The goal of few-shot fine-grained image classification is to recognize r...

Yike Wu, et al. ∙

research

∙ 07/27/2021

Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition

Continuous sign language recognition (cSLR) is a public significant task...

Pan Xie, et al. ∙

research

∙ 07/11/2021

Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training

This study delves into semi-supervised object detection (SSOD) to improv...

Fangyuan Zhang, et al. ∙

research

∙ 07/08/2021

Deep Structural Point Process for Learning Temporal Interaction Networks

This work investigates the problem of learning temporal interaction netw...

Jiangxia Cao, et al. ∙

research

∙ 06/10/2021

Unsupervised Co-part Segmentation through Assembly

Co-part segmentation is an important problem in computer vision for its ...

Qingzhe Gao, et al. ∙

research

∙ 06/01/2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

Extending transfer learning to cooperative multi-agent reinforcement lea...

Tianze Zhou, et al. ∙

research

∙ 05/18/2021

Solid-Fluid Interaction with Surface-Tension-Dominant Contact

We propose a novel three-way coupling method to model the contact intera...

Liangwang Ruan, et al. ∙

research

∙ 05/08/2021

AnomalyHop: An SSL-based Image Anomaly Localization Method

An image anomaly localization method based on the successive subspace le...

Kaitai Zhang, et al. ∙

research

∙ 04/29/2021

LaSS: Running Latency Sensitive Serverless Computations at the Edge

Serverless computing has emerged as a new paradigm for running short-liv...

Bin Wang, et al. ∙

research

∙ 04/29/2021

The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies

Edge computing has emerged as a popular paradigm for running latency-sen...

Ahmed Ali-Eldin, et al. ∙

research

∙ 04/26/2021

Quasi-Dynamic Traffic Assignment using High Performance Computing

Traffic assignment methods are some of the key approaches used to model ...

Cy Chan, et al. ∙

research

∙ 04/13/2021

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

The main challenge of dynamic texture synthesis lies in how to maintain ...

Kaitai Zhang, et al. ∙

research

∙ 03/26/2021

Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN

GAN-based neural vocoders, such as Parallel WaveGAN and MelGAN have attr...

Congyi Wang, et al. ∙

research

∙ 03/14/2021

Progressive residual learning for single image dehazing

The recent physical model-free dehazing methods have achieved state-of-t...

Yudong Liang, et al. ∙

Bin Wang

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