activity
20212024
most citedIterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Merging Multiple Datasets for Improved Appearance-Based Gaze Estimation

Liang Wu, Bertram E. Shi

Multiple datasets have been created for training and testing appearance-based gaze estimators. Intuitively, more data should lead to better performance. However, combining datasets…

cs.AI2023

Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning

Wenzhou Lv, Tianyu Wu, Luolin Xiong +4

Objective: The artificial pancreas (AP) has shown promising potential in achieving closed-loop glucose control for individuals with type 1 diabetes mellitus (T1DM). However, design…

cs.CV2023

RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid

Yini Fang, Didan Deng, Liang Wu +2

Micro-expressions (MEs) are involuntary and subtle facial expressions that are thought to reveal feelings people are trying to hide. ME spotting detects the temporal intervals cont…

cs.SI2022

Remote Work Optimization with Robust Multi-channel Graph Neural Networks

Qinyi Zhu, Liang Wu, Qi Guo +1

The spread of COVID-19 leads to the global shutdown of many corporate offices, and encourages companies to open more opportunities that allow employees to work from a remote locati…

cs.LG2021

Stability and Generalization for Randomized Coordinate Descent

Puyu Wang, Liang Wu, Yunwen Lei

Randomized coordinate descent (RCD) is a popular optimization algorithm with wide applications in solving various machine learning problems, which motivates a lot of theoretical an…

cs.CV2021★ 2 cited

Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition

Didan Deng, Liang Wu, Bertram E. Shi

When recognizing emotions, subtle nuances in displays of emotion generate ambiguity or uncertainty in emotion perception. Emotion uncertainty has been previously interpreted as int…