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09/17/2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
With increasing frequency of high-profile privacy breaches in various on...
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09/09/2023
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
The motivations of users to make interactions can be divided into static...
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07/18/2023
Zero-shot Query Reformulation for Conversational Search
As the popularity of voice assistants continues to surge, conversational...
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07/17/2023
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval
In this paper, we report our methods and experiments for the TREC Conver...
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04/28/2023
Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation
Background: Physiological tremor is defined as an involuntary and rhythm...
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03/14/2023
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
The global trends of urbanization and increased personal mobility force ...
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12/01/2022
Decentralized Matrix Factorization with Heterogeneous Differential Privacy
Conventional matrix factorization relies on centralized collection of us...
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11/14/2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Federated learning (FL) allows multiple participants to collaboratively ...
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08/29/2022
Understanding Diversity in Session-Based Recommendation
Current session-based recommender systems (SBRSs) mainly focus on maximi...
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06/22/2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Recently, one critical issue looms large in the field of recommender sys...
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04/14/2022
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections Recommendations
We report on an ongoing collaboration between epidemiological modellers ...
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01/26/2022
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation
Session-based recommendation which has been witnessed a booming interest...
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12/01/2021
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs
Background: Twelve lead ECGs are a core diagnostic tool for cardiovascul...
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07/14/2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
We present Covidex, a search engine that exploits the latest neural rank...
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04/23/2020
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
Photorealistic style transfer is the task of transferring the artistic s...
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09/19/2019
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recommender systems have become an essential tool to help resolve the in...
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04/30/2019
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations
In the field of sequential recommendation, deep learning methods have re...
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07/11/2017
