Jeng-Lin Li
Orcid: 0000-0002-9261-1524
According to our database1,
Jeng-Lin Li
authored at least 34 papers
between 2017 and 2024.
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Bibliography
2024
Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection.
CoRR, 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
Proceedings of the IEEE International Conference on Acoustics, 2024
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Strategies.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
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
Proceedings of the IEEE International Conference on Acoustics, 2022
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
Frontiers Comput. Sci., 2020
Using Speaker-Aligned Graph Memory Block in Multimodally Attentive Emotion Recognition Network.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 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 20th Annual Conference of the International Speech Communication Association, 2019
Investigating the Variability of Voice Quality and Pain Levels as a Function of Multiple Clinical Parameters.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 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
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 19th Annual Conference of the International Speech Communication Association, 2018
Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 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