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08/21/2023
Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression
Echo cancellation and noise reduction are essential for full-duplex comm...
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07/06/2023
BHEISR: Nudging from Bias to Balance – Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations
In the realm of personalized recommendation systems, the increasing conc...
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03/01/2023
Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis
Aspect term extraction is a fundamental task in fine-grained sentiment a...
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02/23/2023
Simple and Scalable Nearest Neighbor Machine Translation
kNN-MT is a straightforward yet powerful approach for fast domain adapta...
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02/02/2023
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems
Online social media platforms offer access to a vast amount of informati...
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01/13/2023
Analyzing and Improving the Pyramidal Predictive Network for Future Video Frame Prediction
The pyramidal predictive network (PPNV1) proposes an interesting tempora...
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12/22/2022
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction
We are introducing a multi-scale predictive model for video prediction h...
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12/06/2022
KATSum: Knowledge-aware Abstractive Text Summarization
Text Summarization is recognised as one of the NLP downstream tasks and ...
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11/19/2022
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
Due to the noises in crowdsourced labels, label aggregation (LA) has eme...
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10/18/2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Recently, diffusion models have been proven to perform remarkably well i...
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10/10/2022
Expertise diversity of teams predicts originality and long-term impact in science and technology
Despite the growing importance of teams in producing innovative and high...
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08/15/2022
Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory
Visual-frame prediction is a pixel-dense prediction task that infers fut...
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03/17/2022
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks
In recent years, providing incentives to human users for attracting thei...
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07/13/2021
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
In recent years, recommendation systems have been widely applied in many...
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06/18/2021
Graph-based Joint Pandemic Concern and Relation Extraction on Twitter
Public concern detection provides potential guidance to the authorities ...
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05/20/2021
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
Chinese word segmentation (CWS) is the basic of Chinese natural language...
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04/14/2021
ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
A key step in influence maximization in online social networks is the id...
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02/01/2021
The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
Computer-based modelling and simulation have become useful tools to faci...
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01/27/2021
Privacy Information Classification: A Hybrid Approach
A large amount of information has been published to online social networ...
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06/11/2019
Achieving competitive advantage in academia through early career coauthorship with top scientists
We quantify the long term impact that the coauthorship with established ...
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11/15/2018
Offline Biases in Online Platforms: a Study of Diversity and Homophily in Airbnb
How diverse are sharing economy platforms? Are they fair marketplaces, w...
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08/12/2017