b'Jia Li'

research

∙ 08/15/2022

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

Multi-instance learning (MIL) is widely used in the computer-aided inter...

Ruining Deng, et al. ∙

research

∙ 08/15/2022

A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions

The Internet of things (IoT) is increasingly prevalent in domains such a...

Jia Li, et al. ∙

research

∙ 08/07/2022

Generating Negative Samples for Sequential Recommendation

To make Sequential Recommendation (SR) successful, recent works focus on...

Yongjun Chen, et al. ∙

research

∙ 08/05/2022

Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis

In this paper, we present our solutions for the Multimodal Sentiment Ana...

Jia Li, et al. ∙

research

∙ 07/22/2022

Facial Expression Recognition using Vanilla ViT backbones with MAE Pretraining

Humans usually convey emotions voluntarily or involuntarily by facial ex...

Jia Li, et al. ∙

research

∙ 07/20/2022

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

With the rapid development of mobile devices, modern widely-used mobile ...

Xin Yu, et al. ∙

research

∙ 06/26/2022

Latent Augmentation For Better Graph Self-Supervised Learning

Graph self-supervised learning has been vastly employed to learn represe...

Jiashun Cheng, et al. ∙

research

∙ 06/21/2022

Deep Learning Eliminates Massive Dust Storms from Images of Tianwen-1

Dust storms may remarkably degrade the imaging quality of Martian orbite...

Hongyu Li, et al. ∙

research

∙ 06/11/2022

Semi-Supervised Hierarchical Graph Classification

Node classification and graph classification are two graph learning prob...

Jia Li, et al. ∙

research

∙ 05/31/2022

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation

Counterfactual explanation is an important Explainable AI technique to e...

Wenzhuo Yang, et al. ∙

research

∙ 05/31/2022

Rethinking Graph Neural Networks for Anomaly Detection

Graph Neural Networks (GNNs) are widely applied for graph anomaly detect...

Jianheng Tang, et al. ∙

research

∙ 05/17/2022

Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning

In this paper, we study the design and analysis of a class of efficient ...

Jiajin Li, et al. ∙

research

∙ 05/09/2022

Learning Self-adaptations for IoT Networks: A Genetic Programming Approach

Internet of Things (IoT) is a pivotal technology in application domains ...

Jia Li, et al. ∙

research

∙ 04/11/2022

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

Recent salient object detection (SOD) methods based on deep neural netwo...

Chenxi Xie, et al. ∙

research

∙ 04/06/2022

Video Demoireing with Relation-Based Temporal Consistency

Moire patterns, appearing as color distortions, severely degrade image a...

Xin Yu, et al. ∙

research

∙ 04/05/2022

ELECRec: Training Sequential Recommenders as Discriminators

Sequential recommendation is often considered as a generative task, i.e....

Yongjun Chen, et al. ∙

research

∙ 03/25/2022

Improving Contrastive Learning with Model Augmentation

The sequential recommendation aims at predicting the next items in user ...

Zhiwei Liu, et al. ∙

research

∙ 03/16/2022

ConTinTin: Continual Learning from Task Instructions

The mainstream machine learning paradigms for NLP often work with two un...

Wenpeng Yin, et al. ∙

research

∙ 03/02/2022

Styleverse: Towards Identity Stylization across Heterogeneous Domains

We propose a new challenging task namely IDentity Stylization (IDS) acro...

Jia Li, et al. ∙

research

∙ 02/18/2022

A Machine Learning Paradigm for Studying Pictorial Realism: Are Constable's Clouds More Real than His Contemporaries?

European artists have sought to create life-like images since the Renais...

Zhuomin Zhang, et al. ∙

research

∙ 02/05/2022

Intent Contrastive Learning for Sequential Recommendation

Users' interactions with items are driven by various intents (e.g., prep...

Yongjun Chen, et al. ∙

research

∙ 11/20/2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution

The distribution gap between training datasets and data encountered in p...

Wenpeng Yin, et al. ∙

research

∙ 10/15/2021

Receptive Field Broadening and Boosting for Salient Object Detection

Salient object detection requires a comprehensive and scalable receptive...

Mingcan Ma, et al. ∙

research

∙ 10/10/2021

Transformer-based Dual Relation Graph for Multi-label Image Recognition

The simultaneous recognition of multiple objects in one image remains a ...

Jiawei Zhao, et al. ∙

research

∙ 10/03/2021

Universal Face Restoration With Memorized Modulation

Blind face restoration (BFR) is a challenging problem because of the unc...

Jia Li, et al. ∙

research

∙ 09/23/2021

Modeling Dynamic Attributes for Next Basket Recommendation

Traditional approaches to next item and next basket recommendation typic...

Yongjun Chen, et al. ∙

research

∙ 09/16/2021

Heterogeneous Relational Complement for Vehicle Re-identification

The crucial problem in vehicle re-identification is to find the same veh...

Jiajian Zhao, et al. ∙

research

∙ 09/15/2021

Hybrid Local-Global Transformer for Image Dehazing

Recently, the Vision Transformer (ViT) has shown impressive performance ...

Dong Zhao, et al. ∙

research

∙ 09/08/2021

Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification

Person Re-Identification (Re-Id) in occlusion scenarios is a challenging...

Zhongxing Ma, et al. ∙

research

∙ 09/08/2021

RGB-D Salient Object Detection with Ubiquitous Target Awareness

Conventional RGB-D salient object detection methods aim to leverage dept...

Yifan Zhao, et al. ∙

research

∙ 08/19/2021

Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

Recently, the generalization behavior of Convolutional Neural Networks (...

Guangyao Chen, et al. ∙

research

∙ 08/14/2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendationdescribes a set of techniques to model dynamic ...

Zhiwei Liu, et al. ∙

research

∙ 08/05/2021

Mixture of Linear Models Co-supervised by Deep Neural Networks

Deep neural network (DNN) models have achieved phenomenal success for ap...

Beomseok Seo, et al. ∙

research

∙ 07/07/2021

Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation

We propose a simple yet reliable bottom-up approach with a good trade-of...

Jia Li, et al. ∙

research

∙ 06/09/2021

Verification of asymptotic homogenization method developed for periodic architected materials in strain gradient continuum

Strain gradient theory is an accurate model for capturing size effects a...

Hua Yang, et al. ∙

research

∙ 05/18/2021

Exploring Driving-aware Salient Object Detection via Knowledge Transfer

Recently, general salient object detection (SOD) has made great progress...

Jinming Su, et al. ∙

research

∙ 04/19/2021

Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff

In this paper we propose ϵ-Consistent Mixup (ϵmu). ϵmu is a data-based s...

Vincent Pisztora, et al. ∙

research

∙ 02/23/2021

Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification

In goal-oriented requirements engineering, goal conflict identification ...

Hongzhen Zhong, et al. ∙

research

∙ 02/08/2021

Mask-GVAE: Blind Denoising Graphs via Partition

We present Mask-GVAE, a variational generative model for blind denoising...

Jia Li, et al. ∙

research

∙ 12/22/2020

Graph Autoencoders with Deconvolutional Networks

Recent studies have indicated that Graph Convolutional Networks (GCNs) a...

Jia Li, et al. ∙

research

∙ 11/11/2020

Teaching deep learning causal effects improves predictive performance

Causal inference is a powerful statistical methodology for explanatory a...

Jia Li, et al. ∙

research

∙ 10/31/2020

Learning Open Set Network with Discriminative Reciprocal Points

Open set recognition is an emerging research area that aims to simultane...

Guangyao Chen, et al. ∙

research

∙ 10/24/2020

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Dialogue state trackers have made significant progress on benchmark data...

Shiyang Li, et al. ∙

research

∙ 10/21/2020

Structure-aware Pre-training for Table Understanding with Tree-based Transformers

Tables are widely used with various structures to organize and present d...

Zhiruo Wang, et al. ∙

research

∙ 10/09/2020

Dirichlet Graph Variational Autoencoder

Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs) have be...

Jia Li, et al. ∙

research

∙ 09/17/2020

DanceIt: Music-inspired Dancing Video Synthesis

Close your eyes and listen to music, one can easily imagine an actor dan...

Xin Guo, et al. ∙

research

∙ 09/02/2020

Intrinsic Relationship Reasoning for Small Object Detection

The small objects in images and videos are usually not independent indiv...

Kui Fu, et al. ∙

research

∙ 08/10/2020

Cooperative Bi-path Metric for Few-shot Learning

Given base classes with sufficient labeled samples, the target of few-sh...

Zeyuan Wang, et al. ∙

research

∙ 06/09/2020

SEKD: Self-Evolving Keypoint Detection and Description

Researchers have attempted utilizing deep neural network (DNN) to learn ...

Yafei Song, et al. ∙

research

∙ 05/30/2020

Is Depth Really Necessary for Salient Object Detection?

Salient object detection (SOD) is a crucial and preliminary task for man...

Jiawei Zhao, et al. ∙

Jia Li

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