research
∙
08/29/2023
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
Most open-domain dialogue systems suffer from forgetting important infor...
share
research
∙
06/01/2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to h...
research
∙
05/26/2023
A Multi-Scale Attentive Transformer for Multi-Instrument Symbolic Music Generation
Recently, multi-instrument music generation has become a hot topic. Diff...
research
∙
05/12/2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta-learning and other approaches to few-shot learning are widely studi...
research
∙
06/20/2022
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!
Video saliency detection (VSD) aims at fast locating the most attractive...
research
∙
04/15/2022
Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling
Heart sound diagnosis and classification play an essential role in detec...
research
∙
10/06/2021
A New Weakly Supervised Learning Approach for Real-time Iron Ore Feed Load Estimation
Iron ore feed load control is one of the most critical settings in a min...
research
∙
01/08/2021
Privacy-Preserving Cloud-Aided Broad Learning System
With the rapid development of artificial intelligence and the advent of ...
research
∙
05/23/2020
Joint Deployment and Multiple Access Design for Intelligent Reflecting Surface Assisted Networks
The fundamental intelligent reflecting surface (IRS) deployment problem ...
research
∙
01/12/2020
Capacity and Optimal Resource Allocation for IRS-assisted Multi-user Communication Systems
This paper investigates intelligent reflecting surface (IRS)-assisted mu...
research
∙
10/30/2019
UAV-enabled IoT Systems: NOMA or OMA?
This paper investigates unmanned aerial vehicle (UAV) enabled Internet-o...
research
∙
06/18/2019
Deep Active Learning for Anchor User Prediction
Predicting pairs of anchor users plays an important role in the cross-ne...
research
∙
06/15/2019
Uplink Non-Orthogonal Multiple Access for UAV Communications
This paper investigates ground-aerial uplink non-orthogonal multiple acc...
research
∙
05/07/2018
Improving Knowledge Graph Embedding Using Simple Constraints
Embedding knowledge graphs (KGs) into continuous vector spaces is a focu...
research
∙
02/03/2018
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Cross-modal information retrieval aims to find heterogeneous data of var...
research
∙
11/30/2017