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08/28/2023
Fair Few-shot Learning with Auxiliary Sets
Recently, there has been a growing interest in developing machine learni...
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07/17/2023
Learning for Counterfactual Fairness from Observational Data
Fairness-aware machine learning has attracted a surge of attention in ma...
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06/14/2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Code Large Language Models (Code LLMs), such as StarCoder, have demonstr...
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06/05/2023
Path-Specific Counterfactual Fairness for Recommender Systems
Recommender systems (RSs) have become an indispensable part of online pl...
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05/08/2023
Augmented Large Language Models with Parametric Knowledge Guiding
Large Language Models (LLMs) have significantly advanced natural languag...
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04/04/2023
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection
The truth is significantly hampered by massive rumors that spread along ...
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04/03/2023
Links Assignment Scheme based on Potential Edges Importance in Dual-layer Wavelength Routing Optical Satellite Networks
With the development of the massive satellite constellation and the on-o...
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03/31/2023
Regression and Classification of Compositional Data via a novel Supervised Log Ratio Method
Compositional data in which only the relative abundances of variables ar...
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02/16/2023
Cluster-based Deep Ensemble Learning for Emotion Classification in Internet Memes
Memes have gained popularity as a means to share visual ideas through th...
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02/16/2023
NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis
This paper describes the participation of our NUAA-QMUL-AIIT team in the...
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02/14/2023
Graph-based Village Level Poverty Identification
Poverty status identification is the first obstacle to eradicating pover...
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02/06/2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval
Image-text retrieval (ITR) is a task to retrieve the relevant images/tex...
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01/03/2023
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization
In the era of information overload, recommender systems (RSs) have becom...
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12/02/2022
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
The spread of rumors along with breaking events seriously hinders the tr...
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11/25/2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Graph Neural Networks (GNNs) have emerged as the leading paradigm for so...
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11/03/2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Deep learning models trained on large-scale data have achieved encouragi...
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10/16/2022
CLEAR: Generative Counterfactual Explanations on Graphs
Counterfactual explanations promote explainability in machine learning m...
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10/10/2022
Towards Training Graph Neural Networks with Node-Level Differential Privacy
Graph Neural Networks (GNNs) have achieved great success in mining graph...
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09/29/2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
Existing fake news detection methods aim to classify a piece of news as ...
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07/07/2022
Learning Causal Effects on Hypergraphs
Hypergraphs provide an effective abstraction for modeling multi-way grou...
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05/21/2022
Mapping Emulation for Knowledge Distillation
This paper formalizes the source-blind knowledge distillation problem th...
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04/24/2022
Empowering Next POI Recommendation with Multi-Relational Modeling
With the wide adoption of mobile devices and web applications, location-...
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04/19/2022
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
Since 2017, the Transformer-based models play critical roles in various ...
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04/18/2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
Massive false rumors emerging along with breaking news or trending topic...
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04/06/2022
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
The diffusion of rumors on microblogs generally follows a propagation tr...
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02/14/2022
I-Tuning: Tuning Language Models with Image for Caption Generation
Recently, tuning the pre-trained language model (PLM) in a parameter-eff...
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01/30/2022
VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training
Vision-and-language pre-trained models (VLMs) have achieved tremendous s...
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01/10/2022
Learning Fair Node Representations with Graph Counterfactual Fairness
Fair machine learning aims to mitigate the biases of model predictions a...
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11/24/2021
Coarse-To-Fine Incremental Few-Shot Learning
Different from fine-tuning models pre-trained on a large-scale dataset o...
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10/13/2021
Cross-lingual COVID-19 Fake News Detection
The COVID-19 pandemic poses a great threat to global public health. Mean...
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10/12/2021
Real-time Skeletonization for Sketch-based Modeling
Skeleton creation is an important phase in the character animation pipel...
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10/09/2021
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
Rumors are rampant in the era of social media. Conversation structures p...
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09/15/2021
Direct estimation of differential Granger causality between two high-dimensional time series
Differential Granger causality, that is understanding how Granger causal...
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09/03/2021
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks
Tensor factorization has been proved as an efficient unsupervised learni...
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08/22/2021
Temporal Network Embedding via Tensor Factorization
Representation learning on static graph-structured data has shown a sign...
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07/29/2021
Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
Stroke is the top leading causes of death in China (Zhou et al. The Lanc...
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06/25/2021
Federated Graph Classification over Non-IID Graphs
Federated learning has emerged as an important paradigm for training mac...
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05/29/2021
Analysis and classification of main risk factors causing stroke in Shanxi Province
In China, stroke is the first leading cause of death in recent years. It...
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05/29/2021
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
To mitigate the spread of COVID-19 pandemic, decision-makers and public ...
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04/16/2021
Generalized Matrix Decomposition Regression: Estimation and Inference for Two-way Structured Data
This paper studies high-dimensional regression with two-way structured d...
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04/14/2021
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
With the advance of machine learning and the internet of things (IoT), s...
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12/24/2020
Learning from Crowds by Modeling Common Confusions
Crowdsourcing provides a practical way to obtain large amounts of labele...
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12/16/2020
How the emotion's type and intensity affect rumor spreading
The implication and contagion effect of emotion cannot be ignored in rum...
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11/05/2020
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis
This paper describes our contribution to SemEval 2020 Task 8: Memotion A...
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06/21/2020
Spatio-Temporal Tensor Sketching via Adaptive Sampling
Mining massive spatio-temporal data can help a variety of real-world app...
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03/13/2020
Review-guided Helpful Answer Identification in E-commerce
Product-specific community question answering platforms can greatly help...
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08/26/2019