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08/22/2023
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval
Grounded on pre-trained language models (PLMs), dense retrieval has been...
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08/12/2023
On the Security Bootstrapping in Named Data Networking
By requiring all data packets been cryptographically authenticatable, th...
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06/28/2023
Graph Interpolation via Fast Fused-Gromovization
Graph data augmentation has proven to be effective in enhancing the gene...
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04/19/2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Large Language Models (LLMs) have demonstrated a remarkable ability to g...
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01/17/2023
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset
Objective: Peritoneal Dialysis (PD) is one of the most widely used life-...
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08/21/2022
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
Pre-training and fine-tuning have achieved significant advances in the i...
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08/21/2022
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval
Dense retrieval (DR) has shown promising results in information retrieva...
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04/22/2022
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Dense retrieval has shown promising results in many information retrieva...
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04/21/2022
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering
In healthcare prediction tasks, it is essential to exploit the correlati...
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11/27/2021
Pre-training Methods in Information Retrieval
The core of information retrieval (IR) is to identify relevant informati...
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04/20/2021
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Pre-training and fine-tuning have achieved remarkable success in many do...
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03/01/2021
A Linguistic Study on Relevance Modeling in Information Retrieval
Relevance plays a central role in information retrieval (IR), which has ...
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10/20/2020
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Recently pre-trained language representation models such as BERT have sh...
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07/17/2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
Due to the characteristics of COVID-19, the epidemic develops rapidly an...
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06/11/2020
Sovereign: User-Controlled Smart Homes
Smart homes made up of Internet of Things (IoT) devices have seen wide d...
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11/27/2019
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Predicting the patient's clinical outcome from the historical electronic...
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11/27/2019
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Deep learning-based health status representation learning and clinical p...
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07/27/2019
ActShare: Sensitive Data Sharing with Reliable Leaker Identification
Data sharing among multiple parties becomes increasingly common today, s...
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02/24/2019