research
∙
09/20/2023
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Dominant Person Search methods aim to localize and recognize query perso...
share
research
∙
07/27/2023
Clustering based Point Cloud Representation Learning for 3D Analysis
Point cloud analysis (such as 3D segmentation and detection) is a challe...
research
∙
06/30/2023
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
As malicious actors employ increasingly advanced and widespread bots to ...
research
∙
06/16/2023
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
Conversational emotion recognition (CER) is an important research topic ...
research
∙
05/19/2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
Model substructure learning aims to find an invariant network substructu...
research
∙
04/22/2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
Online movie review platforms are providing crowdsourced feedback for th...
research
∙
04/13/2023
Noisy Correspondence Learning with Meta Similarity Correction
Despite the success of multimodal learning in cross-modal retrieval task...
research
∙
02/27/2023
Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App
Mini-app is an emerging form of mobile application that combines web tec...
research
∙
11/29/2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Few-shot learning (FSL), which aims to classify unseen classes with few ...
research
∙
11/28/2022
Generalized Category Discovery with Decoupled Prototypical Network
Generalized Category Discovery (GCD) aims to recognize both known and no...
research
∙
10/15/2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Modeling the ideological perspectives of political actors is an essentia...
research
∙
10/14/2022
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Novel category discovery aims at adapting models trained on known catego...
research
∙
08/18/2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search
Current Graph Neural Networks (GNNs) suffer from the over-smoothing prob...
research
∙
08/17/2022
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
Twitter bot detection is an important and meaningful task. Existing text...
research
∙
08/17/2022
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
Graph anomaly detection on attributed networks has become a prevalent re...
research
∙
08/16/2022
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
Knowledge Graph Embeddings (KGE) aim to map entities and relations to lo...
research
∙
06/09/2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
Twitter bot detection has become an increasingly important task to comba...
research
∙
05/20/2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Due to the superior performance of Graph Neural Networks (GNNs) in vario...
research
∙
05/16/2022
Noise-Tolerant Learning for Audio-Visual Action Recognition
Recently, video recognition is emerging with the help of multi-modal lea...
research
∙
03/27/2022
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search
Recently, weakly supervised person search is proposed to discard human-a...
research
∙
01/21/2022
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization
Recent studies have shown that GNNs are vulnerable to adversarial attack...
research
∙
12/27/2021
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
The recently developed matrix based Renyi's entropy enables measurement ...
research
∙
10/22/2021
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method
Graph convolutional networks (GCNs) have been widely adopted for graph r...
research
∙
08/09/2021
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
Political stance detection has become an important task due to the incre...
research
∙
08/09/2021
Knowledge Graph Augmented Political Perspective Detection in News Media
Identifying political perspective in news media has become an important ...
research
∙
03/23/2021
Annotation of Chinese Predicate Heads and Relevant Elements
A predicate head is a verbal expression that plays a role as the structu...
research
∙
03/18/2021
Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model
Software reuse, especially partial reuse, poses legal and security threa...
research
∙
01/26/2021
Towards Entity Alignment in the Open World: An Unsupervised Approach
Entity alignment (EA) aims to discover the equivalent entities in differ...
research
∙
11/29/2020
A Boundary Regressing Model for Nested Named Entity Recognition
Recognizing named entities (NEs) is commonly conducted as a classificati...
research
∙
11/25/2020
XTQA: Span-Level Explanations of the Textbook Question Answering
Textbook Question Answering (TQA) is a task that one should answer a dia...
research
∙
10/21/2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
Software vulnerabilities are now reported at an unprecedented speed due ...
research
∙
09/24/2020
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes
Linear discriminant analysis (LDA) is a popular technique to learn the m...
research
∙
09/07/2020
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group
Tax evasion is a serious economic problem for many countries, as it can ...
research
∙
07/18/2020
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching
Knowledge transfer from a source domain to a different but semantically ...
research
∙
04/22/2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Recent studies have shown that graph convolution networks (GCNs) are vul...
research
∙
03/03/2020
Self-Supervised Graph Representation Learning via Global Context Prediction
To take full advantage of fast-growing unlabeled networked data, this pa...
research
∙
02/04/2020
Graph Representation Learning via Graphical Mutual Information Maximization
The richness in the content of various information networks such as soci...
research
∙
12/18/2019
Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
While the security of the cloud remains a concern, a common practice is ...
research
∙
12/14/2019
Knowledge forest: a novel model to organize knowledge fragments
With the rapid growth of knowledge, it shows a steady trend of knowledge...
research
∙
06/04/2019
Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving
Cognitive and metacognitive strategy had demonstrated a significant role...
research
∙
02/04/2017