research
∙
08/30/2023
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
Enabling robots to understand language instructions and react accordingl...
share
research
∙
05/17/2023
Evaluating Object Hallucination in Large Vision-Language Models
Inspired by the superior language abilities of large language models (LL...
research
∙
05/06/2023
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation
Recently, continuous diffusion models (CDM) have been introduced into no...
research
∙
03/12/2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Non-autoregressive (NAR) text generation has attracted much attention in...
research
∙
02/21/2023
Low-Complexity Three-Dimensional AOA-Cross Geometric Center Localization Methods Using Massive MIMO Receive Array
Angle of arrival (AOA) is widely used to locate a wireless signal emitte...
research
∙
07/24/2022
Affective Behaviour Analysis Using Pretrained Model with Facial Priori
Affective behaviour analysis has aroused researchers' attention due to i...
research
∙
03/21/2022
LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems
Cache plays an important role to maintain high and stable performance (i...
research
∙
10/30/2021
Identifying and mitigating bias in algorithms used to manage patients in a pandemic
Numerous COVID-19 clinical decision support systems have been developed....
research
∙
08/21/2021
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Glioblastoma is profoundly heterogeneous in regional microstructure and ...
research
∙
08/03/2021
High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers
For a passive direction of arrival (DoA) measurement system using massiv...
research
∙
07/22/2021
LES3: Learning-based Exact Set Similarity Search
Set similarity search is a problem of central interest to a wide variety...
research
∙
05/28/2021
Data Acquisition for Improving Machine Learning Models
The vast advances in Machine Learning over the last ten years have been ...
research
∙
04/11/2021
Semi-G-normal: a Hybrid between Normal and G-normal
The G-expectation framework is a generalization of the classical probabi...
research
∙
12/05/2020
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
Glioblastoma is profoundly heterogeneous in microstructure and vasculatu...
research
∙
09/10/2020
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning
Counterfactual regret minimization (CFR) is a popular method to deal wit...
research
∙
06/22/2020
RP2K: A Large-Scale Retail Product Dataset forFine-Grained Image Classification
We introduce RP2K, a new large-scale retail product dataset for fine-gra...
research
∙
06/22/2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
We introduce RP2K, a new large-scale retail product dataset for fine-gra...
research
∙
04/06/2020
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks
The problem of identifying the k-shortest paths (KSPs for short) in a dy...
research
∙
03/19/2020
Top-k queries over digital traces
Recent advances in social and mobile technology have enabled an abundanc...
research
∙
12/28/2017
Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Version)
Social multimedia users are increasingly sharing all kinds of data about...
research
∙
10/28/2017
