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08/18/2023
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Mutation-based fuzzing is popular and effective in discovering unseen co...
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05/03/2023
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Image captioning, an important vision-language task, often requires a tr...
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01/27/2023
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding
Large-scale data missing is a challenging problem in Intelligent Transpo...
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09/02/2021
Self-supervised Representation Learning for Trip Recommendation
Trip recommendation is a significant and engaging location-based service...
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08/26/2021
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
In this paper, we present a denoising sequence-to-sequence (seq2seq) aut...
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05/25/2021
Graph Neural Network Based VC Investment Success Prediction
Predicting the start-ups that will eventually succeed is essentially imp...
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12/26/2020
Weighting-Based Treatment Effect Estimation via Distribution Learning
Existing weighting methods for treatment effect estimation are often bui...
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11/16/2020
A Two-Phase Approach for Abstractive Podcast Summarization
Podcast summarization is different from summarization of other data form...
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10/20/2020
Topic-Aware Abstractive Text Summarization
Automatic text summarization aims at condensing a document to a shorter ...
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08/24/2020
A Baseline Analysis for Podcast Abstractive Summarization
Podcast summary, an important factor affecting end-users' listening deci...
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05/22/2020
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
The deluge of digital information in our daily life – from user-generate...
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03/26/2020
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
Quantifying and predicting the long-term impact of scientific writings o...
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03/22/2020
Continual Graph Learning
Graph Neural Networks (GNNs) have recently received significant research...
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05/23/2019