Yiran Huang

Orcid: 0000-0003-3805-1375

According to our database1, Yiran Huang authored at least 46 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learning.
BMC Bioinform., December, 2024

Exploring gene-patient association to identify personalized cancer driver genes by linear neighborhood propagation.
BMC Bioinform., December, 2024

AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).
CoRR, 2024

Explainable Deep Learning Framework for Human Activity Recognition.
CoRR, 2024

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm.
CoRR, 2024

RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning.
CoRR, 2024

Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors.
CoRR, 2024

GloEC: a hierarchical-aware global model for predicting enzyme function.
Briefings Bioinform., 2024

Generate Explanations for Time-series classification by ChatGPT.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Enhancing Efficiency in HAR Models: NAS Meets Pruning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers.
Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Deep Neural Network Pruning with Progressive Regularizer.
Proceedings of the International Joint Conference on Neural Networks, 2024

Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice.
Proceedings of the International Joint Conference on Neural Networks, 2024

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Minimizing enzyme mass to decompose flux distribution for identifying biologically relevant elementary flux modes.
Biosyst., September, 2023

Predicting Disease-Associated N7-Methylguanosine (m<sup>7</sup>G) Sites via Random Walk on Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

RJUA-QA: A Comprehensive QA Dataset for Urology.
CoRR, 2023

randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning.
CoRR, 2023

State Graph Based Explanation Approach for Black-Box Time Series Model.
Proceedings of the Explainable Artificial Intelligence, 2023

McXai: Local Model-Agnostic Explanation As Two Games.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
McXai: Local model-agnostic explanation as two games.
CoRR, 2022

Automatic Feature Engineering Through Monte Carlo Tree Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing.
Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

2021
Finding branched pathways in metabolic network via atom group tracking.
PLoS Comput. Biol., 2021

2020
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
CoRR, 2020

Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction.
IEEE Access, 2020

A Spatial Flow Clustering Method Based on the Constraint of Origin-Destination Points' Location.
IEEE Access, 2020

Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

2019
A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks.
Comput. Biol. Medicine, 2019

Detecting list-colored graph motifs in biological networks using branch-and-bound strategy.
Comput. Biol. Medicine, 2019

NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones.
Proceedings of the Science and Technologies for Smart Cities, 2019

2017
Parallel Aligning Multiple Metabolic Pathways on Hybrid CPU and GPU Architectures.
Proceedings of the Parallel Architecture, Algorithm and Programming, 2017

2016
Functional similarities between microRNAs inferred from biomedical texts.
Int. J. Data Min. Bioinform., 2016

2015
Molecular Mechanism underlying PRMT1 Dimerization for SAM Binding and Methylase Activity.
J. Chem. Inf. Model., 2015

2013
Improving accuracy in E-Textiles as a platform for pervasive sensing.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

2012
Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation.
Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012


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