| 2025 | ICLR | Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). | Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata |
| 2024 | EMNLP | Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. | Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan |
| 2024 | ICONIP | Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition. | Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl |
| 2024 | IJCNN | A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice. | Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl |
| 2024 | IJCNN | Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression. | Chuang Pan, Yiran Huang, Qingzhen Wang, Jun Li, Jianhua Xu |
| 2024 | IJCNN | Deep Neural Network Pruning with Progressive Regularizer. | Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl |
| 2024 | ISWC | MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers. | Yexu Zhou, Tobias King, Haibin Zhao, Yiran Huang, Till Riedel, Michael Beigl |
| 2024 | KDD | RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. | Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang |
| 2024 | KDD | Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. | Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu |
| 2024 | PERCOM | Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. | Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl |
| 2024 | PERCOM | Enhancing Efficiency in HAR Models: NAS Meets Pruning. | Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Rddiger, Michael Beigl |
| 2023 | IJCNN | McXai: Local Model-Agnostic Explanation As Two Games. | Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl |
| 2023 | Mobiquitous | Standardizing Your Training Process for Human Activity Recognition Models - A Comprehensive Review in the Tunable Factors. | Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl |
| 2022 | ICONIP | Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. | Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl |
| 2022 | ISWC | TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. | Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl |
| 2013 | BSN | Improving accuracy in E-Textiles as a platform for pervasive sensing. | Mahsan Rofouei, Mohammad Ali Ghodrat, Yiran Huang, Nabil Alshurafa, Majid Sarrafzadeh |
| 2012 | BSN | Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation. | Yiran Huang, Mahsan Rofouei, Majid Sarrafzadeh |