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30
Nov
2021
Health Analytics・Diagnosis
Federated Learning via Conditioned Mutual Learning for Alzheimer's Disease Classification on T1w MRI
Ya-Lin Huang, Hao-Chun Yang, Chi-Chun Lee
EMBC
15
Nov
2021
Behavior Computing・States and Traits
Learning Enhanced Acoustic Latent Representation for Small Scale Affective Corpus with Adversarial Cross Corpora Integration
Chun-Min Chang, Chi-Chun Lee
acoustic representation | adversarial network | speech emotion recognition | cross corpus learning
IEEE Transactions on Affective Computing
27
Oct
2021
Behavior Computing・Speech and Language
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities
Chi-Chun Lee, Kusha Sridhar, Jeng-Lin Li, Wei-Cheng Lin, Bo-Hao Su, Carlos Busso
generalization | robustness | deep representation learning | speech emotion recognition | usability
IEEE Signal Processing Society
18
Oct
2021
Multimedia Modeling・Affect
Self-assessed Emotion Classification from Acoustic and Physiological Features within Small-group Conversation
Woan-Shiuan Chien, Huang-Cheng Chou, Chi-Chun Lee
Multi-modal interaction | multi-label emotion classification | group emotion regression | group interaction
ICMI
18
Oct
2021
Multimedia Modeling・Physiology
Belongingness and Satisfaction Recognition from Physiological Synchrony with A Group-Modulated Attentive BLSTM under Small-group Conversation
Woan-Shiuan Chien, Huang-Cheng Chou, Chi-Chun Lee
small group | satisfaction | belongingness | graph attentive BLSTM | physiological synchrony
Companion Publication of the 2021 International Conference on Multimodal Interaction
13
Oct
2021
Health Analytics・Diagnosis
A Machine Learning Approach to the Classification of Acute Leukemias and Distinction From Nonneoplastic Cytopenias Using Flow Cytometry Data
Sara A. Monaghan, Jeng-Lin Li, Yen-Chun Liu, Ming-Ya Ko, Michael Boyiadzis, Ting-Yu Chang, Yu-Fen Wang, Chi-Chun Lee, Steven H. Swerdlow, Bor-Sheng Ko
B-cell lymphoblastic leukemia/lymphoma | Acute myeloid leukemia | Acute promyelocytic leukemia | Flow cytometry | Machine learning
American Journal of Clinical Pathology
13
Sep
2021
Behavior Computing・States and Traits
Enforcing Semantic Consistency for Cross Corpus Emotion Prediction using Adversarial Discrepancy Learning
Chun-Min Chang, Gao-Yi Chao, Chi-Chun Lee
domain adaptation | semantic consistency | cross corpus learning | speech emotion recognition | generative adversarial network
IEEE Transactions on Affective Computing
30
Aug
2021
Behavior Computing・Speech and Language
An Attribute-Aligned Strategy for Learning Speech Representation
Yu-Lin Huang, Bo-Hao Su, Y.-W. Peter Hong, Chi-Chun Lee
layered dropout | privacy | fair | attribute alignment | speech representation
Interspeech
07
Aug
2021
Behavior Computing・Deception
“Does it Matter When I Think You Are Lying?” Improving Deception Detection by Integrating Interlocutor's Judgements in Conversations
Huang-Cheng Chou, Woan-Shiuan Chien, Da-Cheng Juan, Chi-Chun Lee
deception detection | human judgements | dyadic conversations
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)
23
Jun
2021
Multimedia Modeling・Affect
A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology
Hao-Chun Yang, Chi-Chun Lee
personality recognition | physiology | graph convolution network | affective multimedia
IEEE Transactions on Affective Computing
22
Apr
2021
Behavior Computing・States and Traits
A Social Condition-Enhanced Network for Recognizing Power Distance using Expressive Prosody and Intrinsic Brain Connectivity
Fu-Sheng Tsai, Wei-Wen Chang, Chi-Chun Lee
prosody | center-loss embedding | power distance index | fMRI | culture dimensions
IEEE Transactions on Multimedia
16
Apr
2021
Behavior Computing・Deception
Automatic Deception Detection using Multiple Speech and Language Communicative Descriptors in Dialogs
Huang-Cheng Chou, Yi-Wen Liu, Chi-Chun Lee
Implicature classification | Conversational temporal dynamics | BLSTM with hierarchical attention networks | Automatic deception detection
APSIPA Transactions on Signal and Information Processing, Volume 10, 2021
10
Apr
2021
Health Analytics・Other: Computation Methods for Health
Empowering the public during the COVID pandemic through interactive social media platform
Su-Fen Cheng, Chien-Lin Kuo, Chi-Chun Lee, Serene Hsin-Min Wei, Chu-Yu Huang
COVID-19 | Facebook platform | Live broadcasting | Public empowerment
Nursing Outlook
19
Jan
2021
Behavior Computing・Speech and Language
A Conditional Cycle Emotion Gan for Cross Corpus Speech Emotion Recognition
Bo-Hao Su, Chi-Chun Lee
conditional cycle GAN | speech emotion recognition | cross corpus | data augmentation | transfer learning
IEEE Spoken Language Technology Workshop (SLT)
19
Jan
2021
Multimedia Modeling・Content Analysis
Through the Words of Viewers: Using Comment-Content Entangled Network for Humor Impression Recognition
Huan-Yu Chen, Yun-Shao Lin, Chi-Chun Lee
speech content | entangled network | humor recognition | viewer comments
SLT
07
Dec
2020
Multimedia Modeling・Affect
From Intended to Subjective: A Conditional Tensor Fusion Network for Recognizing Self-Reported Emotion Using Physiology
Hao-Chun Yang, Chi-Chun Lee
emotion recognition | feature extraction | medical signal processing | physiology | electrocardiography
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
07
Dec
2020
Behavior Computing・Deception
“Your Behavior Makes Me Think It Is a Lie”: Recognizing Perceived Deception using Multimodal Data in Dialog Games
Huang-Cheng Chou, Chi-Chun Lee
perceived deception detection | human judgements | dyadic conversations | personality traits
2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
07
Dec
2020
Behavior Computing・States and Traits
Sensing with Contexts: Crying Reason Classification for Infant Care Center with Environmental Fusion
Chun-Min Chang, Huan-Yu Chen, Hsiang-Chun Chen, Chi-Chun Lee
signal classification | patient care | paediatrics | inference mechanisms | health care | acoustic signal processing
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
25
Oct
2020
Behavior Computing・Small Group
Predicting Collaborative Task Performance Using Graph Interlocutor Acoustic Network in Small Group Interaction
Shun-Chang Zhong, Bo-Hao Su, Wei Huang, Yi-Ching Liu, Chi-Chun Lee
attention mechanism | personality | group interaction | graph convolutional network
Interspeech
25
Oct
2020
Behavior Computing・Speech and Language
Speech Representation Learning for Emotion Recognition Using End-to-End ASR with Factorized Adaptation
Song-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee
acoustic representation | end-to-end ASR | domain adaptation | speech emotion recognition
Interspeech
25
Oct
2020
Behavior Computing・Speech and Language
Improving Speech Emotion Recognition Using Graph Attentive Bi-Directional Gated Recurrent Unit Network
Bo-Hao Su, Chun-Min Chang, Chi-Chun Lee
speech emotion recognition | graph | attention mechanism | recurrent neural network
Interspeech
25
Oct
2020
Multimedia Modeling・Content Analysis
Attentive Convolutional Recurrent Neural Network Using Phoneme-Level Acoustic Representation for Rare Sound Event Detection
Shreya G Upadhyay, Bo-Hao Su, Chi-Chun Lee
convolution recurrent neural network | attention | automatic speech recognition | sound event detection
Interspeech 2020
25
Oct
2020
Behavior Computing・States and Traits
Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network
Jeng-Lin Li, Chi-Chun Lee
memory network | graph | speaker embedding | emotion recognition
Interspeech 2020
25
Oct
2020
Behavior Computing・States and Traits
Learning to Recognize Per-Rater's Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels
Huang-Cheng Chou, Chi-Chun Lee
rater perception | BLSTM-DNN | soft label learning | Speech Emotion Recognition (SER)
Interspeech 2020
12
Oct
2020
Multimedia Modeling・Affect
Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network
Woan-Shiuan Chien, Hao-Chun Yang, Chi-Chun Lee
physiology | transfer learning | emotion recognition | affective multimedia | graph convolution network
ACM Multimedia
20
Jul
2020
Health Analytics・Diagnosis
Behavior Score-Embedded Brain Encoder Network for Improved Classification of Alzheimer Disease Using Resting State fMRI
Wan-Ting Hsieh, Jeremy Lefort-Besnard, Hao-Chun Yang, Li-Wei Kuo, Chi-Chun Lee
EMBC
20
Jul
2020
Health Analytics・Diagnosis
Learning a Phenotypic-Attribute Attentional Brain Connectivity Embedding for ADHD Classification using rs-fMRI
Ming-Shan Gao, Fu-Sheng Tsai, Chi-Chun Lee
EMBC
20
Jul
2020
Health Analytics・General Well-being
Deriving A Novel Health Index Using A Large-Scale Population Based Electronic Health Record With Deep Networks
Chen-Ying Hung, Huan-Yu Chen, Lawrence JK Wee, Ching-Heng Lin, Chi-Chun Lee
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
20
Jul
2020
Health Analytics・Diagnosis
A Knowledge-Reserved Distillation with Complementary Transfer for Automated FC-based Classification Across Hematological Malignancies
Jeng-Lin Li, Ting-Yu Chang, Yu-Fen Wang, Bor-Sheng Ko, Jih-Luh Tang, Chi-Chun Lee
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
06
Jul
2020
Health Analytics・Clinical Attributes
Learning Converse-Level Multimodal Embedding to Assess Social Deficit Severity for Autism Spectrum Disorder
Chin-Po Chen, Susan Shur-Fen Gau, Chi-Chun Lee
BERT | GRU | ADOS | autism
2020 IEEE International Conference on Multimedia and Expo (ICME)
15
May
2020
Behavior Computing・States and Traits
A Waveform-Feature Dual Branch Acoustic Embedding Network for Emotion Recognition
Jeng-Lin Li, Tzu-Yun Huang, Chun-Min Chang, Chi-Chun Lee
raw waveform | end-to-end | complementary learning | acoustic representation | speech emotion recognition
Frontiers in Computer Science 2020
04
May
2020
Behavior Computing・Spoken Dialogs
A Dialogical Emotion Decoder for Speech Emotion Recognition in Spoken Dialog
Song-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee
dialogical emotion decoder | conversation | speech emotion recognition
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
04
May
2020
Health Analytics・Diagnosis
Conditional Domain Adversarial Transfer for Robust Cross-Site ADHD Classification Using Functional MRI
Ya-Lin Huang, Wan-Ting Hsieh, Hao-Chun Yang, Chi-Chun Lee
adversarial domain adaptation | multi-site transfer | fMRI | ADHD
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
04
May
2020
Multimedia Modeling・Content Analysis
A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology
Hao-Chun Yang, Chi-Chun Lee
personality recognition | physiology | graph convolution network | affective multimedia
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
04
May
2020
Behavior Computing・Small Group
Predicting Performance Outcome with a Conversational Graph Convolutional Network for Small Group Interactions
Yun-Shao Lin, Chi-Chun Lee
group performance | graph convolutional network | conversation | small group interaction
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
31
Jan
2020
Health Analytics・Diagnosis
A Multimodal Interlocutor-Modulated Attentional BLSTM for Classifying Autism Subgroups During Clinical Interviews
Yun-Shao Lin, Susan Shur-Fen Gau, Chi-Chun Lee
attention mechanism | multimodal BLSTM | autism spectrum disorder | Behavioral signal processing
IEEE Journal of Selected Topics in Signal Processing
18
Nov
2019
Health Analytics・Clinical Attributes
Pain versus Affect? An Investigation in the Relationship between Observed Emotional States and Self-Reported Pain
Fu-Sheng Tsai, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
18
Nov
2019
Behavior Computing・Deception
Joint learning of conversational temporal dynamics and acoustic features for speech deception detection in dialog games
Huang-Cheng Chou, Yi-Wen Liu, Chi-Chun Lee
deception | conversation | BLSTM | attention | speech acoustics
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
18
Nov
2019
Multimedia Modeling・Content Analysis
Through the Eyes of Viewers: A Comment-Enhanced Media Content Representation for TED Talks Impression Recognition
Huan-Yu Chen, Yun-Shao Lin, Chi-Chun Lee
viewer impressions | TED talks | cross-modal projection
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
15
Sep
2019
Behavior Computing・Deception
Acoustic Indicators of Deception in Mandarin Daily Conversations Recorded from an Interactive Game
Chih-Hsiang Huang, Huang-Cheng Chou, Yi-Tong Wu, Chi-Chun Lee, Yi-Wen Liu
deception | trust | computational paralinguistics | Mandarin | corpus
Interspeech
15
Sep
2019
Behavior Computing・Small Group
Predicting Group Performances Using a Personality Composite-Network Architecture During Collaborative Task
Shun-Chang Zhong, Yun-Shao Lin, Chun-Min Chang, Chi-Chun Lee
social signal processing | attention mechanism | personality traits | group interaction
Interspeech
15
Sep
2019
Behavior Computing・States and Traits
Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition
Song-Lin Yeh, Gao-Yi Chao, Bo-Hao Su, Yu-Lin Huang, Meng-Han Lin, Yin-Chun Tsai, Chi-Chun Lee
augmentation | adversarial learning | computational paralinguistics | attention networks
Interspeech
15
Sep
2019
Health Analytics・Clinical Attributes
Investigating the Variability of Voice Quality and Pain Levels as a Function of Multiple Clinical Parameters
Hui-Ting Hong, Jeng-Lin Li, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee
age | pain site | voice quality | gender | pain
Interspeech
15
Sep
2019
Behavior Computing・Other: Signal Modeling for Understanding
Enforcing Semantic Consistency for Cross Corpus Valence Regression from Speech Using Adversarial Discrepancy Learning
Gao-Yi Chao, Yun-Shao Lin, Chun-Min Chang, Chi-Chun Lee
cross corpus | adversarial learning | domain adaptation | valence | semantic consistency
Interspeech
15
Sep
2019
Multimedia Modeling・Multimodal Model
Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention Profile
Jeng-Lin Li, Chi-Chun Lee
multimodal emotion recognition | attention | psycholinguistic norm | personal attribute
Interspeech 2019
03
Sep
2019
Behavior Computing・Other: Signal Modeling for Understanding
A Dual-Complementary Acoustic Embedding Network Learned from Raw Waveform for Speech Emotion Recognition
Tzu-Yun Huang, Jeng-Lin Li, Chun-Min Chang, Chi-Chun Lee
endto-end learning | raw waveform | speech emotion recognition | acoustic space augmentation
International Conference on Affective Computing and Intelligent Interaction (ACII)
03
Sep
2019
Health Analytics・Other: Computation Methods for Health
Improving Automatic Pain Level Recognition using Pain Site as an Auxiliary Task
Hui-Ting Hong, Jeng-Lin Li, Chun-Min Chang, Chi-Chun Lee
pain level | triage | multi-task learning | Behavioral Signal Processing (BSP) | pain site
International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
03
Sep
2019
Multimedia Modeling・Affect
Annotation Matters: A Comprehensive Study on Recognizing Intended, Self-reported, and Observed Emotion Labels using Physiology
Hao-Chun Yang, Chi-Chun Lee
annotation | physiology | affective computing | emotion recognition | mental process
International Conference on Affective Computing and Intelligent Interaction (ACII)
03
Sep
2019
Behavior Computing・Speech and Language
Attention Learning with Retrievable Acoustic Embedding of Personality for Emotion Recognition
Jeng-Lin Li, Chi-Chun Lee
multimodal emotion recognition | cross corpus retrieval | attention learning | personality
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)
23
Jul
2019
Health Analytics・Diagnosis
A BLSTM with Attention Network for Predicting Acute Myeloid Leukemia Patient's Prognosis using Comprehensive Clinical Parameters
Chih-Chuan Lu, Jeng-Lin Li, Yu-Fen Wang, Bor-Sheng Ko, Jih-Luh Tang, Chi-Chun Lee
EMBC
23
Jul
2019
Health Analytics・Predictive Model
Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks
Chen-Ying Hung, Ching-Heng Lin, Chi-Sen Chang, Jeng-Lin Li, Chi-Chun Lee
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
23
Jul
2019
Health Analytics・Diagnosis
Learning a Cytometric Deep Phenotype Embedding for Automatic Hematological Malignancies Classification
Jeng-Lin Li, Yu-Fen Wang, Bor-Sheng Ko, Chi-Cheng Li, Jih-Luh Tang, Chi-Chun Lee
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
23
Jul
2019
Health Analytics・Diagnosis
Improving Automatic Tremor and Movement Motor Disorder Severity Assessment for Parkinson's Disease with Deep Joint Training
Chun-Min Chang, Yu-Lin Huang, Jui-Cheng Chen, Chi-Chun Lee
learning (artificial intelligence) | medical computing | medical disorders | gait analysis | diseases
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
08
Jul
2019
Multimedia Modeling・Audience
Learning Minimal Intra-Genre Multimodal Embedding from Trailer Content and Reactor Expressions for Box Office Prediction
Ming-Ya Ko, Jeng-Lin Li, Chi-Chun Lee
box office prediction | multimedia | multimodal embedding | YouTube reactor | movie trailer
IEEE International Conference on Multimedia and Expo (ICME)
01
Jul
2019
Health Analytics・Diagnosis
Toward differential diagnosis of autism spectrum disorder using multimodal behavior descriptors and executive functions
Chin-Po Chen, Susan Shur-Fen Gau, Chi-Chun Lee
differential diagnosis | executive functions | multimodal behaviors descriptors | autism spectrum disorder | behavioral signal processing
2019 Computer Speech & Language (Volume 56)
12
May
2019
Behavior Computing・Spoken Dialogs
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
Song-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee
spoken dialogs | attention mechanism | interaction | speech emotion recognition
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
12
May
2019
Health Analytics・General Well-being
An Event-contrastive Connectome Network for Automatic Assessment of Individual Face Processing and Memory Ability
Wan-Ting Hsieh, Hao-Chun Yang, Fu-Sheng Tsai, Chon-Wen Shyi, Chi-Chun Lee
fMRI | face processing and memory | contrastive loss | connectome embedding
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
12
May
2019
Multimedia Modeling・Content Analysis
Learning Semantic-preserving Space Using User Profile and Multimodal Media Content from Political Social Network
Wei-Hao Chang, Jeng-Lin Li, Chi-Chun Lee
politics | social media | multimodal media data | semantic-preserving space | large-margin objective
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
12
May
2019
Multimedia Modeling・Affect
An Attribute-invariant Variational Learning for Emotion Recognition Using Physiology
Hao-Chun Yang, Chi-Chun Lee
physiological representation | emotion recognition | variational learning | psychophysiology | personality
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
12
May
2019
Behavior Computing・States and Traits
Every Rating Matters: Joint Learning of Subjective Labels and Individual Annotators for Speech Emotion Classification
Huang-Cheng Chou, Chi-Chun Lee
annotator modeling | BLSTM | speech emotion recognition | soft label learning
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
12
May
2019
Behavior Computing・States and Traits
Adversarially-enriched Acoustic Code Vector Learned from Out-of-context Affective Corpus for Robust Emotion Recognition
Chun-Min Chang, Chi-Chun Lee
behavioral signal processing (BSP) | adversarial network | emotion recognition | cross corpus learning
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
10
Apr
2019
Behavior Computing・Spoken Dialogs
Investigation of functional brain network reconfiguration during vocal emotional processing using graph-theoretical analysis
Shih-Yen Lin, Chi-Chun Lee, Yong-Sheng Chen, Li-Wei Kuo
resting state | vocal emotion | functional magnetic resonance imaging | brain network | graph-theoretical analysis
Social Cognitive and Affective Neuroscience
13
Mar
2019
Health Analytics・Predictive Model
Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database
Chen-Ying Hung, Ching-Heng Lin, Tsuo-Hung Lan, Giia-Sheun Peng, Chi-Chun Lee
PLOS ONE
30
Oct
2018
Health Analytics・Other: Computation Methods for Health
Development of a rapid and economic in vivo electrocardiogram platform for cardiovascular drug assay and electrophysiology research in adult zebrafish
Min-Hsuan Lin, Huang-Cheng Chou, Yu-Fu Chen, Wangta Liu, Chi-Chun Lee, Lawrence Yu-Min Liu, Yung-Jen Chuang
Scientific Reports
22
Oct
2018
Behavior Computing・States and Traits
Learning an Arousal-Valence Speech Front-End Network using Media Data In-the-Wild for Emotion Recognition
Chih-Chuan Lu, Jeng-Lin Li, Chi-Chun Lee
speech front-end network | convolutional neural network | media data in-the-wild | speech emotion recognition
AVEC
16
Oct
2018
Behavior Computing・Other: Signal Modeling for Understanding
Generating fMRI-Enriched Acoustic Vectors using a Cross-Modality Adversarial Network for Emotion Recognition
Gao-Yi Chao, Chun-Min Chang, Jeng-Lin Li, Ya-Tse Wu, Chi-Chun Lee
Cross-Modality Adversarial Network | Acoustic Representation | fMRI | Speech Emotion Recognition
ICMI
14
Oct
2018
Health Analytics・Other: Computation Methods for Health
Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome
Bor-Sheng Ko, Yu-Fen Wang, Jeng-Lin Li, Chi-Cheng Li, Pei-FangWeng, Szu-Chun Hsu, Hsin-An Hou, Huai-Hsuan Huang, Ming Yao, Chien-Ting Lin, Jia-Hau Liu, Cheng-Hong Tsai, Tai-Chung Huang, Shang-Ju Wu, Shang-Yi Huang, Wen-Chien Chou, Hwei-Fang Tien, Chi-Chun Lee, Jih-Luh Tang
Acute myeloid leukemia | Myelodysplastic syndrome | Multicolor flow cytometry | Minimal residual disease | Artificial intelligence
EBioMedicine
02
Oct
2018
Behavior Computing・Small Group
Using Interlocutor-Modulated Attention BLSTM to Predict Personality Traits in Small Group Interaction
Yun-Shao Lin, Chi-Chun Lee
small group interaction | personality traits | behavioral signal processing | attention mechanism | social signal processing
ICMI
17
Sep
2018
Behavior Computing・Speech and Language
Automatic Detection of Speech Under Cold Using Discriminative Autoencoders and Strength Modeling with Multiple Sub-Dictionary Generation
Yi-Ying Kao, Hsiang-Ping Hsu, Chien-Feng Liao, Yu Tsao, Hao-Chun Yang, Jeng-Lin Li, Chi-Chun Lee, Hung-Shin Lee, Hsin-Min Wang
cold detection | discriminative autoencoders | deep neural networks | computational paralinguistics
International Workshop on Acoustic Signal Enhancement (IWAENC)
02
Sep
2018
Behavior Computing・Spoken Dialogs
Automatic Assessment of Individual Culture Attribute of Power Distance Using a Social Context-Enhanced Prosodic Network Representation
Fu-Sheng Tsai, Hao-Chun Yang, Wei-Wen Chang, Chi-Chun Lee
prosody | centerloss embedding | culture attribute | power distance | behavioral signal processing
Interspeech
02
Sep
2018
Behavior Computing・States and Traits
Self-Assessed Affect Recognition Using Fusion of Attentional BLSTM and Static Acoustic Features
Bo-Hao Su, Song-Lin Yeh, Ming-Ya Ko, Huan-Yu Chen, Shun-Chang Zhong, Jeng-Lin Li, Chi-Chun Lee
computational paralinguistics | BLSTM | affect recognition | attention mechanism
Interspeech 2018
02
Sep
2018
Health Analytics・Clinical Attributes
An Interlocutor-Modulated Attentional LSTM for Differentiating between Subgroups of Autism Spectrum Disorder
Yun-Shao Lin, Susan Shur-Fen Gau, Chi-Chun Lee
autism spectrum disorder | dyadic interaction | attention mechanism | behavioral signal processing (BSP)
Interspeech 2018
02
Sep
2018
Behavior Computing・Spoken Dialogs
Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition
Jeng-Lin Li, Chi-Chun Lee
variational deep embedding | dyadic interaction | emotion recognition | feature augmentation | frozen fine-tuning
Interspeech 2018
02
Sep
2018
Health Analytics・Clinical Attributes
Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition
Jeng-Lin Li, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee
acoustic representation | age and gender | conditional variational autoencoder (CVAE) | pain
Interspeech 2018
23
Jul
2018
Multimedia Modeling・Other: Media Processing for Interpretation
A Genre-Affect Relationship Network with Task-Specific Uncertainty Weighting foR Recognizing Induced Emotion in Music
Wei-Hao Chang, Jeng-Lin Li, Yun-Shao Lin, Chi-Chun Lee
homoscedastic uncertainty | music | induced emotion | multi-task learning | relationship network
IEEE International Conference on Multimedia and Expo (ICME)
18
Jul
2018
Health Analytics・General Well-being
Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims Database
Chen-Ying Hung, Ching-Heng Lin, Chi-Chun Lee
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
15
Apr
2018
Health Analytics・Mental Health
Learning Lexical Coherence Representation Using LSTM Forget Gate for Children with Autism Spectrum Disorder During Story-Telling
Yu-Shuo Liu, Chin-Po Chen, Susan Shur-Fen Gau, Chi-Chun Lee
autism spectrum disorder (ASD) | long-short term memory neural network (LSTM) | lexical coherence | behavioral signal processing (BSP) | story-telling
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
15
Apr
2018
Behavior Computing・States and Traits
Integrating Perceivers Neural-Perceptual Responses Using a Deep Voting Fusion Network for Automatic Vocal Emotion Decoding
Wan-Ting Hsieh, Hao-Chun Yang, Ya-Tse Wu, Fu-Sheng Tsai, Li-Wei Kuo, Chi-Chun Lee
vocal emotion perception | fMRI | individual difference | deep voting fusion neural net
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
15
Apr
2018
Health Analytics・Clinical Attributes
A Triplet-Loss Embedded Deep Regressor Network for Estimating Blood Pressure Changes Using Prosodic Features
Hao-Chun Yang, Fu-Sheng Tsai, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee
triplet loss embedding | blood pressure | prosody | triage session | behavioral signal processing
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
16
Mar
2018
Behavior Computing・States and Traits
Computational Analyses of Thin-Sliced Behavior Segments in Session-Level Affect Perception
Wei-Cheng Lin, Chi-Chun Lee
thin-sliced affect perception | multimodal behaviors | Emotion recognition | mutual information
IEEE Transactions on Affective Computing
26
Oct
2017
Behavior Computing・Speech and Language
Experimental Study on Extreme Learning Machine Applications for Speech Enhancement
Tassadaq Hussain, Sabato Marco Siniscalchi, Chi-Chun Lee, Syu-Siang Wang, Yu Tsao, Wen-Hung Liao
Speech enhancement | artificial neural networks | extreme learning machine | hierarchical extreme learning machines
IEEE Access
23
Oct
2017
Health Analytics・Clinical Attributes
Embedding stacked bottleneck vocal features in a LSTM architecture for automatic pain level classification during emergency triage
Fu-Sheng Tsai, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee
International Conference on Affective Computing and Intelligent Interaction (ACII)
23
Oct
2017
Behavior Computing・States and Traits
NNIME: The NTHU-NTUA Chinese interactive multimodal emotion corpus
Huang-Cheng Chou, Wei-Cheng Lin, Lien-Chiang Chang, Chyi-Chang Li, Hsi-Pin Ma, Chi-Chun Lee
electrocardiography | emotion recognition | human computer interaction | interactive systems
2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)
23
Oct
2017
Behavior Computing・Speech and Language
A bootstrapped multi-view weighted Kernel fusion framework for cross-corpus integration of multimodal emotion recognition
Chun-Min Chang, Bo-Hao Su, Shih-Chen Lin, Jeng-Lin Li, Chi-Chun Lee
emotion recognition | sensor fusion | speech recognition | video signal processing
2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)
07
Sep
2017
Behavior Computing・Speech and Language
Toward Automating Oral Presentation Scoring During Principal Certification Program Using Audio-Video Low-Level Behavior Profiles
Shan-Wen Hsiao, Hung-Ching Sun, Ming-Chuan Hsieh, Ming-Hsueh Tsai, Yu Tsao, Chi-Chun Lee
Behavioral signal processing (BSP) | educational research | multimodal signal processing | oral presentation
IEEE Transactions on Affective Computing
06
Sep
2017
Health Analytics・Mental Health
Signal Processing and Machine Learning for Mental Health Research and Clinical Applications
Daniel Bone, Chi-Chun Lee, Theodora Chaspari, James Gibson, Shrikanth Narayanan
IEEE Signal Processing Magazine
20
Aug
2017
Behavior Computing・States and Traits
Modeling Perceivers Neural-Responses Using Lobe-Dependent Convolutional Neural Network to Improve Speech Emotion Recognition
Ya-Tse Wu, Hsuan-Yu Chen, Yu-Hsien Liao, Chi-Chun Lee
speech emotion recognition | affective computing, fMRI | convolutional neural network (CNN)
Interspeech
20
Aug
2017
Behavior Computing・States and Traits
Deriving Dyad-Level Interaction Representation Using Interlocutors Structural and Expressive Multimodal Behavior Features
Yun-Shao Lin, Chi-Chun Lee
face-to-face interaction | multimodal behaviors | dyad-level affect | affect recognition
Interspeech 2017
20
Aug
2017
Health Analytics・Diagnosis
Computing Multimodal Dyadic Behaviors During Spontaneous Diagnosis Interviews Toward Automatic Categorization of Autism Spectrum Disorder
Chin-Po Chen, Xian-Hong Tseng, Susan Shur-Fen Gau, Chi-Chun Lee
dyadic interaction | autism spectrum disorder | behavioral signal processing (BSP) | multimodal behaviors
Interspeech 2017
02
Aug
2017
Behavior Computing・Small Group
Initiating and Maintaining Collaborations and Facilitating Understanding in Interdisciplinary Group Research
Stephenson J. Beck, Annika L. Meinecke, Yoichi Matsuyama, Chi-Chun Lee
interdisciplinary | collaboration | computer science | group science
Small Group Research
11
Jul
2017
Health Analytics・Predictive Model
Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database
Chen-Ying Hung, Wei-Chen Chen, Po-Tsun Lai, Ching-Heng Lin, Chi-Chun Lee
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
05
Mar
2017
Behavior Computing・States and Traits
Fusion of multiple emotion perspectives: Improving affect recognition through integrating cross-lingual emotion information
Chun-Min Chang, Chi-Chun Lee
multi-task learning | affective computing | cross language | speech emotion recognition
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
08
Sep
2016
Behavior Computing・Other: Signal Modeling for Understanding
Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation
Hung-Shin Lee, Yu Tsao, Chi-Chun Lee, Hsin-Min Wang, Wei-Cheng Lin, Wei-Chen Chen, Shan-Wen Hsiao, Shyh-Kang Jeng
regression, ranking | degree of sincerity | shallow neural networks | computational paralinguistics
Interspeech
08
Sep
2016
Behavior Computing・Other: Signal Modeling for Understanding
Enhancement of Automatic Oral Presentation Assessment System Using Latent N-Grams Word Representation and Part-of-Speech Information
Wen-Yu Huang, Shan-Wen Hsiao, Hung-Ching Sun, Ming-Chuan Hsieh, Ming-Hsueh Tsai, Chi-Chun Lee
educational research | multimodal signal processing | behavioral signal processing | natural language processing
Interspeech
08
Sep
2016
Health Analytics・Other: Computation Methods for Health
Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions
Fu-Sheng Tsai, Ya-Ling Hsu, Wei-Chen Chen, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee
facial expressions | triage | pain scale | vocal characteristics | behavioral signal processing (BSP)
Interspeech
20
Mar
2016
Behavior Computing・States and Traits
A thin-slice perception of emotion? An information theoretic-based framework to identify locally emotion-rich behavior segments for global affect recognition
Wei-Cheng Lin, Chi-Chun Lee
emotion recognition | behavioral signal processing | thin-slice theory | multimodal signal processing
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
20
Mar
2016
Behavior Computing・States and Traits
A Gaussian mixture regression approach toward modeling the affective dynamics between acoustically-derived vocal arousal score (VC-AS) and internal brain fMRI bold signal response
Hsuan-Yu Chen, Yu-Hsien Liao, Heng-Tai Jan, Li-Wei Kuo, Chi-Chun Lee
fMRI | vocal arousal score | Gaussian Mixture Regression | behavioral signal processing (BSP)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
06
Sep
2015
Behavior Computing・States and Traits
An analysis of the relationship between signal-derived vocal arousal score and human emotion production and perception
Chi-Chun Lee, Daniel Bone, Shrikanth Narayanan
vocal arousal rating | affective perception | affective production
Interspeech
06
Sep
2015
Behavior Computing・Other: Signal Modeling for Understanding
A multimodal approach for automatic assessment of school principals' oral presentation during pre-service training program
Shan-Wen Hsiao, Hung-Ching Sun, Ming-Chuan Hsieh, Ming-Hsueh Tsai, Hsin-Chih Lin, Chi-Chun Lee
oral presentation | multimodal signal processing | education research | behavioral signal processing (BSP)
Interspeech
19
Apr
2015
Behavior Computing・Other: Signal Modeling for Understanding
Multimodal arousal rating using unsupervised fusion technique
Wei-Chen Chen, Po-Tsun Lai, Yu Tsao, Chi-Chun Lee
arousal rating | affective computing | behavioral signal processing | multimodal signal processing
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
17
Apr
2015
Behavior Computing・Speech and Language
The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations
Angeliki Metallinou, Zhaojun Yang, Chi-Chun Lee, Carlos Busso, Sharon Carnicke, Shrikanth Narayanan
Multimodal database | Theatrical improvisations | Motion capture system | Continuous emotion
Springer
08
Oct
2014
Health Analytics・Diagnosis
Applying machine learning to facilitate autism diagnostics: pitfalls and promises
Daniel Bone, Matthew S. Goodwin, Matthew P. P. Black, Chi-Chun Lee, Kartik Audhkhasi, Shrikanth Narayanan
Autism diagnostic observation schedule | Autism diagnostic interview | Machine learning | Signal processing | Autism | Diagnosis
Springer
14
Sep
2014
Behavior Computing・Other: Signal Modeling for Understanding
Ensemble of Machine Learning Algorithms for Cognitive and Physical Speaker Load Detection
How Jing, Ting-Yao Hu, Hung-Shin Lee, Wei-Chen Chen, Chi-Chun Lee, Yu Tsao, Hsin-Min Wang
Physical Load Detection | Cognitive Load Detection | Neural Network | Classification Models
Interspeech
01
Aug
2014
Health Analytics・Diagnosis
The Psychologist as an Interlocutor in Autism Spectrum Disorder Assessment: Insights From a Study of Spontaneous Prosody
Daniel Bone, Chi-Chun Lee, Matthew P. Black, Marian E. Williams, Sungbok Lee, Pat Levitt, Shrikanth Narayanan
autism spectrum disorder | children; prosody | social communication | assessment | dyadic interaction
Journal of Speech Language and Hearing Research
30
May
2014
Behavior Computing・States and Traits
Robust Unsupervised Arousal Rating: A Rule-Based Framework with Knowledge-Inspired Vocal Features
Daniel Bone, Chi-Chun Lee, Shrikanth Narayanan
arousal | activation | rule-based rating | knowledge-inspired features | cross-corpora classification | continuous affect tracking
IEEE Transactions on Affective Computing
01
Mar
2014
Behavior Computing・States and Traits
Computing vocal entrainment: A signal-derived PCA-based quantification scheme with application to affect analysis in married couple interactions
Chi-Chun Lee, Athanasios Katsamanis, Matthew P. Black, Brian R. Baucom, Andrew Christensen, Panayiotis G. Georgiou, Shrikanth Narayanan
Factorial Hidden Markov Model | Behavioral signal processing (BSP) | Couple therapy | Principal component analysis (PCA) | Interaction synchrony | Affect recognition | Entrainment | Dyadic interaction
Computer Speech & Language
01
Jan
2013
Behavior Computing・States and Traits
Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features
Matthew P. P. Black, Athanasios Katsamanis, Brian R. Baucom, Chi-Chun Lee, Adam C Lammert, Andrew Christensen, Panayiotis G. Georgiou, Shrikanth Narayanan
Human behavior analysis | Dyadic interaction | Couple therapy | Behavioral signal processing (BSP) | Prosody | Emotion recognition
ELSEVIER
03
Dec
2012
Behavior Computing・States and Traits
Using measures of vocal entrainment to inform outcome-related behaviors in marital conflicts
Chi-Chun Lee, Athanasios Katsamanis, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth Narayanan
Asia Pacific Signal and Information Processing Association Annual Summit and Conference
03
Sep
2012
Behavior Computing・States and Traits
Based on isolated saliency or causal integration? toward a better understanding of human annotation process using multiple instance learning and sequential probability ratio test
Chi-Chun Lee, Athanasios Katsamanis, Panayiotis G. Georgiou, Shrikanth Narayanan
sequential probability ratio test | behavior annotation, perception | observational coding | multiple instance learning
Interspeech
01
Nov
2011
Behavior Computing・States and Traits
Emotion recognition using a hierarchical binary decision tree approach
Chi-Chun Lee, Emily Mower, Carlos Busso, Sungbok Lee, Shrikanth Narayanan
Support Vector Machine | Emotion recognition | Hierarchical structure | Bayesian Logistic Regression
Elsevier
09
Oct
2011
Behavior Computing・States and Traits
Affective state recognition in married couples' interactions using PCA-based vocal entrainment measures with multiple instance learning
Chi-Chun Lee, Athanasios Katsamanis, Matthew P. Black, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth Narayanan
behavioral signal processing (BSP) | couple's therapy | vocal entrainment | multiple instance learning | affective recognition
International Conference on Affective Computing and Intelligent Interaction (ACII)
27
Aug
2011
Behavior Computing・Spoken Dialogs
An Analysis of PCA-based Vocal Entrainment Measures in Married Couples' Affective Spoken Interactions
Chi-Chun Lee, Athanasios Katsamanis, Matthew P. Black, Brian R. Baucom, Panayiotis G. Georgiou, Shrikanth Narayanan
couples therapy | behavioral signal processing | principal component analysis | vocal entrainment
Interspeech
26
Sep
2010
Behavior Computing・Spoken Dialogs
Quantification of prosodic entrainment in affective spontaneous spoken interactions of married couples
Chi-Chun Lee, Matthew P. Black, Athanasios Katsamanis, Adam C Lammert, Brian R. Baucom, Andrew Christensen, Panayiotis G. Georgiou, Shrikanth Narayanan
prosody | entrainment | behavior signal processing | affect | couple therapy | interaction synchrony
Interspeech
14
Mar
2010
Behavior Computing・Other: Signal Modeling for Understanding
Predicting interruptions in dyadic spoken interactions
Chi-Chun Lee, Shrikanth Narayanan
Interruption | Dyadic Interaction | Hidden Conditional Field | Prediction
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
06
Sep
2009
Behavior Computing・Spoken Dialogs
Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions
Chi-Chun Lee, Carlos Busso, Sungbok Lee, Shrikanth Narayanan
emotion recognition | mutual influence | Dynamic Bayesian Network | dyadic interaction
Interspeech
05
Nov
2008
Behavior Computing・Other: Signal Modeling for Understanding
IEMOCAP: interactive emotional dyadic motion capture database
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, Abe Kazemzadeh, Emily Mower, Samuel Kim, Jeannette N. Chang, Sungbok Lee, Shrikanth Narayanan
Emotional assessment | Emotion | Dyadic interaction | Audio-visual database | Motion capture system
Springer
22
Sep
2008
Behavior Computing・Spoken Dialogs
An analysis of multimodal cues of interruption in dyadic spoken interactions
Chi-Chun Lee, Sungbok Lee, Shrikanth Narayanan
interruption | multimodal | turn taking | dyadic interaction
Interspeech
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