b'Wei Wei'

research

∙ 05/17/2023

An Empirical Study on the Language Modal in Visual Question Answering

Generalization beyond in-domain experience to out-of-distribution data i...

0 Daowan Peng, et al. ∙

research

∙ 05/03/2023

AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking

Annotating long-document question answering (long-document QA) pairs is ...

7 Yuxiang Nie, et al. ∙

research

∙ 04/19/2023

Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand

Dexterous in-hand manipulation for a multi-fingered anthropomorphic hand...

0 Yongkang Luo, et al. ∙

research

∙ 03/31/2023

Generalized Anthropomorphic Functional Grasping with Minimal Demonstrations

This article investigates the challenge of achieving functional tool-use...

0 Wei Wei, et al. ∙

research

∙ 03/29/2023

ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation

It is critical that the models pay attention not only to accuracy but al...

0 Wei Wei, et al. ∙

research

∙ 03/29/2023

Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness

It is broadly known that deep neural networks are susceptible to being f...

0 Wei Wei, et al. ∙

research

∙ 03/09/2023

Meta contrastive label correction for financial time series

Financial applications such as stock price forecasting, usually face an ...

0 Luxuan Yang, et al. ∙

research

∙ 03/02/2023

Heterogeneous Graph Contrastive Learning for Recommendation

Graph Neural Networks (GNNs) have become powerful tools in modeling grap...

0 Mengru Chen, et al. ∙

research

∙ 02/21/2023

Multi-Modal Self-Supervised Learning for Recommendation

The online emergence of multi-modal sharing platforms (eg, TikTok, Youtu...

0 Wei Wei, et al. ∙

research

∙ 02/13/2023

Learning Tri-mode Grasping for Ambidextrous Robot Picking

Object picking in cluttered scenes is a widely investigated field of rob...

0 Chenlin Zhou, et al. ∙

research

∙ 01/31/2023

Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation

Mining the spatial and temporal correlation of wind farm output data is ...

0 Hang Fan, et al. ∙

research

∙ 01/04/2023

Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification

Molecular fingerprints are significant cheminformatics tools to map mole...

0 Xue Liu, et al. ∙

research

∙ 11/28/2022

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task i...

0 Shuo Liang, et al. ∙

research

∙ 11/21/2022

DVGG: Deep Variational Grasp Generation for Dextrous Manipulation

Grasping with anthropomorphic robotic hands involves much more hand-obje...

0 Wei Wei, et al. ∙

research

∙ 10/19/2022

Knowledge Graph Enhanced Relation Extraction Datasets

Knowledge-enhanced methods that take advantage of auxiliary knowledge gr...

0 Yucong Lin, et al. ∙

research

∙ 10/17/2022

HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold

Conventional event detection models under supervised learning settings s...

2 Ruihan Zhang, et al. ∙

research

∙ 10/17/2022

Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue

Recently, topic-grounded dialogue system has attracted significant atten...

0 Xiaofei Wen, et al. ∙

research

∙ 10/11/2022

Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network

Long document question answering is a challenging task due to its demand...

0 Yuxiang Nie, et al. ∙

research

∙ 10/02/2022

Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies

Graph embedding provides a feasible methodology to conduct pattern class...

0 Xue Liu, et al. ∙

research

∙ 09/23/2022

Unsupervised Hashing with Semantic Concept Mining

Recently, to improve the unsupervised image retrieval performance, plent...

0 Rong-Cheng Tu, et al. ∙

research

∙ 09/20/2022

Incorporating Casual Analysis into Diversified and Logical Response Generation

Although the Conditional Variational AutoEncoder (CVAE) model can genera...

0 Jiayi Liu, et al. ∙

research

∙ 08/27/2022

Multi-level Contrastive Learning Framework for Sequential Recommendation

Sequential recommendation (SR) aims to predict the subsequent behaviors ...

0 Ziyang Wang, et al. ∙

research

∙ 08/22/2022

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Incorporating Knowledge Graphs (KG) into recommeder system has attracted...

0 Ding Zou, et al. ∙

research

∙ 08/10/2022

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting

Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...

0 Zezhi Shao, et al. ∙

research

∙ 07/17/2022

Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection

Exploiting pseudo labels (e.g., categories and bounding boxes) of unanno...

0 Lei Zhang, et al. ∙

research

∙ 07/14/2022

E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow

Binary neural network (BNN) provides a promising solution to deploy para...

0 Zhiqiang Lang, et al. ∙

research

∙ 06/20/2022

Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure

Temporal network link prediction is an important task in the field of ne...

0 Ruizhi Zhang, et al. ∙

research

∙ 06/18/2022

Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks

Existing online recruitment platforms depend on automatic ways of conduc...

0 Ziyang Wang, et al. ∙

research

∙ 06/18/2022

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting

We all depend on mobility, and vehicular transportation affects the dail...

0 Zezhi Shao, et al. ∙

research

∙ 06/11/2022

Parameter Convex Neural Networks

Deep learning utilizing deep neural networks (DNNs) has achieved a lot o...

0 Jingcheng Zhou, et al. ∙

research

∙ 05/11/2022

Relational Triple Extraction: One Step is Enough

Extracting relational triples from unstructured text is an essential tas...

5 Yu-Ming Shang, et al. ∙

research

∙ 05/06/2022

Automatic Noisy Label Correction for Fine-Grained Entity Typing

Fine-grained entity typing (FET) aims to assign proper semantic types to...

0 Weiran Pan, et al. ∙

research

∙ 05/05/2022

Unsupervised Mismatch Localization in Cross-Modal Sequential Data

Content mismatch usually occurs when data from one modality is translate...

1 Wei Wei, et al. ∙

research

∙ 05/05/2022

Declaration-based Prompt Tuning for Visual Question Answering

In recent years, the pre-training-then-fine-tuning paradigm has yielded ...

2 Yuhang Liu, et al. ∙

research

∙ 04/28/2022

Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process

Most real-world networks suffer from incompleteness or incorrectness, wh...

0 Qiming Yang, et al. ∙

research

∙ 04/19/2022

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

Knowledge graph (KG) plays an increasingly important role in recommender...

0 Ding Zou, et al. ∙

research

∙ 04/06/2022

BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...

0 Shuo Liang, et al. ∙

research

∙ 03/31/2022

An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps

Many complex real world phenomena exhibit abrupt, intermittent or jumpin...

0 Wei Wei, et al. ∙

research

∙ 02/23/2022

Multi-view Intent Disentangle Graph Networks for Bundle Recommendation

Bundle recommendation aims to recommend the user a bundle of items as a ...

0 Sen Zhao, et al. ∙

research

∙ 02/17/2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

A well-informed recommendation framework could not only help users ident...

0 Wei Wei, et al. ∙

research

∙ 01/23/2022

Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning

Text style transfer is a challenging text generation problem, which aims...

0 Chenghao Fan, et al. ∙

research

∙ 12/14/2021

Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module

Designing an effective communication mechanism among agents in reinforce...

0 Wei-Cheng Tseng, et al. ∙

research

∙ 11/12/2021

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation

Real-time location inference of social media users is the fundamental of...

0 Yu Zhang, et al. ∙

research

∙ 11/11/2021

The Most Likely Transition Path for a Class of Distribution-Dependent Stochastic Systems

Distribution-dependent stochastic dynamical systems arise widely in engi...

0 Wei Wei, et al. ∙

research

∙ 10/28/2021

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework

Despite great success on many machine learning tasks, deep neural networ...

0 Lifan Yuan, et al. ∙

research

∙ 10/06/2021

A Region-based Collaborative Management Scheme for Dynamic Clustering in Green VANET

Green Vehicular Ad-hoc Network (VANET) is a newly-emerged research area ...

0 Bingyi Liu, et al. ∙

research

∙ 09/30/2021

Most Probable Transitions from Metastable to Oscillatory Regimes in a Carbon Cycle System

Global climate changes are related to the ocean's store of carbon. We st...

0 Wei Wei, et al. ∙

research

∙ 09/29/2021

Geometry-Entangled Visual Semantic Transformer for Image Captioning

Recent advancements of image captioning have featured Visual-Semantic Fu...

0 Ling Cheng, et al. ∙

research

∙ 09/16/2021

Context-aware Entity Typing in Knowledge Graphs

Knowledge graph entity typing aims to infer entities' missing types in k...

0 Weiran Pan, et al. ∙

research

∙ 09/09/2021

Multi-granularity Textual Adversarial Attack with Behavior Cloning

Recently, the textual adversarial attack models become increasingly popu...

0 Yangyi Chen, et al. ∙

Wei Wei

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