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09/19/2023
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Learnersourcing involves students generating and sharing learning resour...
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07/30/2023
Integrated Private Data Trading Systems for Data Marketplaces
In the digital age, data is a valuable commodity, and data marketplaces ...
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05/21/2023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Pre-trained large language model (LLM) is under exploration to perform N...
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04/22/2023
Fairness in Ranking Supermartingales
Lexicographic Ranking SuperMartingale (LexRSM) is a generalization of Ra...
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04/12/2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Since the concern of privacy leakage extremely discourages user particip...
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03/07/2023
A Survey of Data Pricing for Data Marketplaces
A data marketplace is an online venue that brings data owners, data brok...
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03/03/2023
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
Next POI recommendation intends to forecast users' immediate future move...
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02/17/2023
Multi-unit Auction over a Social Network
Diffusion auction is an emerging business model where a seller aims to i...
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02/16/2023
Learning Density-Based Correlated Equilibria for Markov Games
Correlated Equilibrium (CE) is a well-established solution concept that ...
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02/14/2023
Differentially Private Diffusion Auction: The Single-unit Case
Diffusion auction refers to an emerging paradigm of online marketplace w...
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02/12/2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Unsupervised/self-supervised graph neural networks (GNN) are vulnerable ...
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02/11/2023
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model
Non-intrusive load monitoring (NILM) aims to decompose aggregated electr...
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08/17/2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification
Few-shot learning (FSL) is an emergent paradigm of learning that attempt...
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07/28/2022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Combining deep learning with symbolic logic reasoning aims to capitalize...
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05/15/2022
From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory
Understanding, modelling and predicting human risky decision-making is c...
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02/13/2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
The recent mean field game (MFG) formalism has enabled the application o...
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11/19/2021
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
Automated question quality rating (AQQR) aims to evaluate question quali...
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10/27/2021
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series
Traffic forecasting is an integral part of intelligent transportation sy...
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09/11/2021
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
Traffic flow forecasting is a crucial task in urban computing. The chall...
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06/07/2021
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders
Conditional Variational AutoEncoder (CVAE) effectively increases the div...
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05/28/2021
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses
Many existing conversation models that are based on the encoder-decoder ...
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04/29/2021
Maximum Entropy Inverse Reinforcement Learning for Mean Field Games
Mean field games (MFG) facilitate the otherwise intractable reinforcemen...
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05/19/2020
Selling Data at an Auction under Privacy Constraints
Private data query combines mechanism design with privacy protection to ...
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02/08/2020
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
This paper proposes a chatbot framework that adopts a hybrid model which...
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10/26/2018
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering
Question answering (QA) has significantly benefitted from deep learning ...
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05/02/2018
From the Periphery to the Center: Information Brokerage in an Evolving Network
Interpersonal ties are pivotal to individual efficacy, status and perfor...
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12/11/2017
Infinite and Bi-infinite Words with Decidable Monadic Theories
We study word structures of the form (D,<,P) where D is either N or Z, <...
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12/26/2016
Network, Popularity and Social Cohesion: A Game-Theoretic Approach
In studies of social dynamics, cohesion refers to a group's tendency to ...
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08/12/2015
