b'Pengfei Wang'

research

∙ 09/06/2023

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning

Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge ...

0 Hao Dong, et al. ∙

research

∙ 08/13/2023

TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution

The goal of scene text image super-resolution is to reconstruct high-res...

0 Baolin Liu, et al. ∙

research

∙ 08/02/2023

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

The Class Incremental Semantic Segmentation (CISS) extends the tradition...

0 Jingfan Chen, et al. ∙

research

∙ 08/02/2023

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching

Entity Matching (EM), which aims to identify all entity pairs referring ...

0 Xiaocan Zeng, et al. ∙

research

∙ 07/15/2023

HyperGo: Probability-based Directed Hybrid Fuzzing

Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for ...

0 Peihong Lin, et al. ∙

research

∙ 04/25/2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

Temporal knowledge graph (TKG) reasoning aims to predict the future miss...

0 Hao Dong, et al. ∙

research

∙ 03/23/2023

Modeling Entities as Semantic Points for Visual Information Extraction in the Wild

Recently, Visual Information Extraction (VIE) has been becoming increasi...

0 Zhibo Yang, et al. ∙

research

∙ 01/27/2023

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation

Non-autoregressive translation (NAT) model achieves a much faster infere...

0 Huanran Zheng, et al. ∙

research

∙ 12/27/2022

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Feature transformation for AI is an essential task to boost the effectiv...

0 Meng Xiao, et al. ∙

research

∙ 12/27/2022

Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test

The problem of testing the equality of mean vectors for high-dimensional...

0 Tianming Zhu, et al. ∙

research

∙ 12/25/2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations

Urban traffic speed prediction aims to estimate the future traffic speed...

2 Dongkun Wang, et al. ∙

research

∙ 12/20/2022

Multiple Testing in Genome-Wide Association Studies via Hierarchical Hidden Markov Models

The problems of large-scale multiple testing are often encountered in mo...

0 Pengfei Wang, et al. ∙

research

∙ 12/18/2022

SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers

In this paper, we propose to compute Voronoi diagrams over mesh surfaces...

0 Shiqing Xin, et al. ∙

research

∙ 09/28/2022

Graph Soft-Contrastive Learning via Neighborhood Ranking

Graph contrastive learning (GCL) has been an emerging solution for graph...

16 Zhiyuan Ning, et al. ∙

research

∙ 09/19/2022

Convergence of the number of period sets in strings

Consider words of length n. The set of all periods of a word of length n...

0 Eric Rivals, et al. ∙

research

∙ 07/11/2022

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

Entity Matching (EM), which aims to identify whether two entity records ...

0 Pengfei Wang, et al. ∙

research

∙ 07/07/2022

Style Interleaved Learning for Generalizable Person Re-identification

Domain generalization (DG) for person re-identification (ReID) is a chal...

0 Wentao Tan, et al. ∙

research

∙ 05/20/2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Entity alignment (EA) aims at finding equivalent entities in different k...

5 Yunjun Gao, et al. ∙

research

∙ 01/01/2022

Quality-aware Part Models for Occluded Person Re-identification

Occlusion poses a major challenge for person re-identification (ReID). E...

8 Pengfei Wang, et al. ∙

research

∙ 09/29/2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy

In this paper, we propose a single-agent Monte Carlo based reinforced fe...

3 Kunpeng Liu, et al. ∙

research

∙ 09/09/2021

Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point Clouds

Surface reconstruction from noisy, non-uniform, and unoriented point clo...

4 Zixiong Wang, et al. ∙

research

∙ 08/22/2021

Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification

Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims...

0 Pengfei Wang, et al. ∙

research

∙ 08/18/2021

CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration

Entity Resolution (ER) aims to identify whether two tuples refer to the ...

0 Congcong Ge, et al. ∙

research

∙ 04/12/2021

PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network

The reading of arbitrarily-shaped text has received increasing research ...

0 Pengfei Wang, et al. ∙

research

∙ 11/03/2020

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

In recent years, there are a large number of recommendation algorithms p...

0 Wayne Xin Zhao, et al. ∙

research

∙ 10/09/2020

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms

Top-N item recommendation has been a widely studied task from implicit f...

0 Wayne Xin Zhao, et al. ∙

research

∙ 09/21/2020

Batch Coherence-Driven Network for Part-aware Person Re-Identification

Existing part-aware person re-identification methods typically employ tw...

0 Kan Wang, et al. ∙

research

∙ 09/14/2020

UniFuzz: Optimizing Distributed Fuzzing via Dynamic Centralized Task Scheduling

Fuzzing is one of the most efficient technology for vulnerability detect...

0 Xu Zhou, et al. ∙

research

∙ 08/23/2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning

While Graph Neural Network (GNN) has shown superiority in learning node ...

0 Ziyue Qiao, et al. ∙

research

∙ 07/30/2020

Stable Learning via Causality-based Feature Rectification

How to learn a stable model under agnostic distribution shift between tr...

0 Zhengxu Yu, et al. ∙

research

∙ 05/25/2020

SoK: The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing

Greybox fuzzing has been the most scalable and practical approach to sof...

0 Pengfei Wang, et al. ∙

research

∙ 03/18/2020

Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

Part-level representations are important for robust person re-identifica...

0 Changxing Ding, et al. ∙

research

∙ 10/04/2019

An Accurate Edge-based FEM for Electromagnetic Analysis with Its Applications to Multiscale Structures

This paper introduces an accurate edge-based smoothed finite element met...

0 Yangfan Zhang, et al. ∙

research

∙ 08/15/2019

A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning

Detecting scene text of arbitrary shapes has been a challenging task ove...

4 Pengfei Wang, et al. ∙

research

∙ 01/27/2019

HetMEC: Latency-optimal Task Assignment and Resource Allocation for Heterogeneous Mobile Edge Computing

Driven by great demands on low-latency services of the edge devices (EDs...

0 Pengfei Wang, et al. ∙

research

∙ 12/13/2018

Dynamic Feature Generation Network for Answer Selection

Extracting appropriate features to represent a corpus is an important ta...

0 Longxuan Ma, et al. ∙

research

∙ 09/11/2018

A Two-Stage Method for Skin Lesion Analysis

This report summarises our method and validation results for the ISIC Ch...

0 Chengyao Qian, et al. ∙

research

∙ 04/03/2018

Left-Right Comparative Recurrent Model for Stereo Matching

Leveraging the disparity information from both left and right views is c...

0 Zequn Jie, et al. ∙

research

∙ 03/17/2018

Learning over Knowledge-Base Embeddings for Recommendation

State-of-the-art recommendation algorithms -- especially the collaborati...

0 Yongfeng Zhang, et al. ∙

Pengfei Wang

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