Jeng-Lin Li

Orcid: 0000-0002-9261-1524

According to our database1, Jeng-Lin Li authored at least 30 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective.
CoRR, 2024

Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation.
CoRR, 2024

2023
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition.
IEEE Trans. Affect. Comput., 2023

2022
A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification.
IEEE J. Biomed. Health Informatics, 2022

An Audio-Saliency Masking Transformer for Audio Emotion Classification in Movies.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Multimodal Movie Scene Segmentation Using Mixture of Acoustic Experts.
Proceedings of the 30th European Signal Processing Conference, 2022

A Coarse-to-Fine Pathology Patch Selection for Improving Gene Mutation Prediction in Acute Myeloid Leukemia.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Romantic and Family Movie Database: Towards Understanding Human Emotion and Relationship via Genre-Dependent Movies.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities.
IEEE Signal Process. Mag., 2021

2020
A Waveform-Feature Dual Branch Acoustic Embedding Network for Emotion Recognition.
Frontiers Comput. Sci., 2020

Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network.
Proceedings of the Interspeech 2020, 2020

A Knowledge-Reserved Distillation with Complementary Transfer for Automated FC-based Classification Across Hematological Malignancies.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention Profile.
Proceedings of the Interspeech 2019, 2019

Investigating the Variability of Voice Quality and Pain Levels as a Function of Multiple Clinical Parameters.
Proceedings of the Interspeech 2019, 2019

Learning Minimal Intra-Genre Multimodal Embedding from Trailer Content and Reactor Expressions for Box Office Prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Learning Semantic-preserving Space Using User Profile and Multimodal Media Content from Political Social Network.
Proceedings of the IEEE International Conference on Acoustics, 2019

A BLSTM with Attention Network for Predicting Acute Myeloid Leukemia Patient's Prognosis using Comprehensive Clinical Parameters.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Learning a Cytometric Deep Phenotype Embedding for Automatic Hematological Malignancies Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Attention Learning with Retrievable Acoustic Embedding of Personality for Emotion Recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

A Dual-Complementary Acoustic Embedding Network Learned from Raw Waveform for Speech Emotion Recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

Improving Automatic Pain Level Recognition using Pain Site as an Auxiliary Task.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018
Learning an Arousal-Valence Speech Front-End Network using Media Data In-the-Wild for Emotion Recognition.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Automatic Detection of Speech Under Cold Using Discriminative Autoencoders and Strength Modeling with Multiple Sub-Dictionary Generation.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Self-Assessed Affect Recognition Using Fusion of Attentional BLSTM and Static Acoustic Features.
Proceedings of the Interspeech 2018, 2018

Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition.
Proceedings of the Interspeech 2018, 2018

Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition.
Proceedings of the Interspeech 2018, 2018

Generating fMRI-Enriched Acoustic Vectors using a Cross-Modality Adversarial Network for Emotion Recognition.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

A Genre-Affect Relationship Network with Task-Specific Uncertainty Weighting foR Recognizing Induced Emotion in Music.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017
A bootstrapped multi-view weighted Kernel fusion framework for cross-corpus integration of multimodal emotion recognition.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017


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