activity
20162020
most citedPareto Multi-Task Learning

52 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20201 cited

Learning Light Field Angular Super-Resolution via a Geometry-Aware Network

Jing Jin, Junhui Hou, Hui Yuan +1

The acquisition of light field images with high angular resolution is costly. Although many methods have been proposed to improve the angular resolution of a sparsely-sampled light…

cs.LG201952 cited

Pareto Multi-Task Learning

Xi Lin, Hui-Ling Zhen, Zhenhua Li +2

Multi-task learning is a powerful method for solving multiple correlated tasks simultaneously. However, it is often impossible to find one single solution to optimize all the tasks…

cs.CV2019

Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP

Hui Yuan, Huayong Fu, Ju Liu +2

Dynamic Adaptive Streaming over HTTP (DASH) has demonstrated to be an emerging and promising multimedia streaming technique, owing to its capability of dealing with the variability…

cs.CV2019

An Ensemble Rate Adaptation Framework for Dynamic Adaptive Streaming Over HTTP

Hui Yuan, Xiaoqian Hu, Junhui Hou +2

Rate adaptation is one of the most important issues in dynamic adaptive streaming over HTTP (DASH). Due to the frequent fluctuations of the network bandwidth and complex variations…

cs.MM2017

VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement

Haiqiang Wang, Ioannis Katsavounidis, Jiantong Zhou +11

A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed. Several small JND-based image/video quality datasets were relea…

cs.NE2016

Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization

Mengyuan Wu, Ke Li, Sam Kwong +2

The balance between convergence and diversity is a key issue of evolutionary multi-objective optimization. The recently proposed stable matching-based selection provides a new pers…