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ORCIDYiran Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Yiran Huang
, Yufu Lin, Wei Lan, Cuiyu Huang, Cheng Zhong:
GloEC: a hierarchical-aware global model for predicting enzyme function. Briefings Bioinform. 25(5) (2024)- [j14]Yiran Huang, Fuhao Chen, Hongtao Sun, Cheng Zhong:
Exploring gene-patient association to identify personalized cancer driver genes by linear neighborhood propagation. BMC Bioinform. 25(1): 34 (2024) - [j13]Yiran Huang, Pingfan Zeng, Cheng Zhong:
Classifying breast cancer subtypes on multi-omics data via sparse canonical correlation analysis and deep learning. BMC Bioinform. 25(1): 132 (2024) - [j12]Yexu Zhou, Haibin Zhao, Yiran Huang, Tobias Röddiger, Murat Kurnaz, Till Riedel, Michael Beigl:
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 48:1-48:27 (2024) - [c22]Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan:
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. EMNLP 2024: 21456-21473 - [c21]Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl:
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice. IJCNN 2024: 1-10 - [c20]Chuang Pan, Yiran Huang, Qingzhen Wang, Jun Li, Jianhua Xu:
Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression. IJCNN 2024: 1-8 - [c19]Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl:
Deep Neural Network Pruning with Progressive Regularizer. IJCNN 2024: 1-10 - [c18]Yexu Zhou, Tobias King, Haibin Zhao, Yiran Huang, Till Riedel, Michael Beigl:
MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers. ISWC 2024: 133-139 - [c17]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:
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. KDD 2024: 5218-5229 - [c16]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:
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. KDD 2024: 5466-5475 - [c15]Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Röddiger, Michael Beigl:
Enhancing Efficiency in HAR Models: NAS Meets Pruning. PerCom Workshops 2024: 33-38 - [c14]Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl:
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. PerCom Workshops 2024: 160-165 - [c13]Yiran Huang, Yexu Zhou, Haibin Zhao, Likun Fang, Till Riedel, Michael Beigl:
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models. ECML/PKDD (10) 2024: 429-446 - [c12]Zhechang Xue, Yiran Huang, Hongnan Ma, Michael Beigl:
Generate Explanations for Time-series classification by ChatGPT. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 49-56 - [i11]Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl:
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors. CoRR abs/2401.05477 (2024) - [i10]Congyun Jin, Ming Zhang, Xiaowei 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:
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. CoRR abs/2402.14840 (2024) - [i9]Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xianguo Lyu, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu:
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. CoRR abs/2403.16446 (2024) - [i8]Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl:
Explainable Deep Learning Framework for Human Activity Recognition. CoRR abs/2408.11552 (2024) - [i7]Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan:
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. CoRR abs/2410.09629 (2024) - [i6]Leander Girrbach, Yiran Huang, Stephan Alaniz, Trevor Darrell, Zeynep Akata:
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). CoRR abs/2410.19314 (2024) - 2023
- [j11]Jingning Chen, Yiran Huang, Cheng Zhong:
Minimizing enzyme mass to decompose flux distribution for identifying biologically relevant elementary flux modes. Biosyst. 231: 104981 (2023) - [j10]Likun Fang, Timo Müller, Erik Pescara, Nikola Fischer, Yiran Huang, Michael Beigl:
Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 95:1-95:19 (2023) - [j9]Yiran Huang, Yongjin Bin, Pingfan Zeng, Wei Lan, Cheng Zhong:
NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2159-2169 (2023) - [j8]Yiran Huang, Zhihong Wu, Wei Lan, Cheng Zhong:
Predicting Disease-Associated N7-Methylguanosine (m7G) Sites via Random Walk on Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3173-3181 (2023) - [c11]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl:
McXai: Local Model-Agnostic Explanation As Two Games. IJCNN 2023: 1-8 - [c10]Yiran Huang, Chaofan Li, Hansen Lu, Till Riedel, Michael Beigl:
State Graph Based Explanation Approach for Black-Box Time Series Model. xAI (3) 2023: 153-164 - [i5]Yiran Huang, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning. CoRR abs/2307.07770 (2023) - [i4]Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang:
RJUA-QA: A Comprehensive QA Dataset for Urology. CoRR abs/2312.09785 (2023) - 2022
- [c9]Likun Fang, Ting Zhu, Erik Pescara, Yiran Huang, Yexu Zhou, Michael Beigl:
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing. AHs 2022: 203-211 - [c8]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. ICONIP (3) 2022: 206-215 - [c7]Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl:
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. ISWC 2022: 89-93 - [c6]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Automatic Feature Engineering Through Monte Carlo Tree Search. ECML/PKDD (3) 2022: 581-598 - [i3]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
McXai: Local model-agnostic explanation as two games. CoRR abs/2201.01044 (2022) - [i2]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. CoRR abs/2211.08384 (2022) - 2021
- [j7]Yiran Huang, Yusi Xie, Cheng Zhong, Fengfeng Zhou:
Finding branched pathways in metabolic network via atom group tracking. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j6]Yuzhong Peng, Yanmei Lin, Xiao-Yuan Jing, Hao Zhang, Yiran Huang, Guangsheng Luo:
Enhanced Graph Isomorphism Network for Molecular ADMET Properties Prediction. IEEE Access 8: 168344-168360 (2020) - [j5]Xiang Gao, Yusi Liu, Disheng Yi, Jiahui Qin, Shuxue Qu, Yiran Huang, Jing Zhang:
A Spatial Flow Clustering Method Based on the Constraint of Origin-Destination Points' Location. IEEE Access 8: 216069-216082 (2020) - [c5]Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl:
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. ECML/PKDD (4) 2020: 461-477 - [i1]Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl:
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. CoRR abs/2008.03961 (2020)
2010 – 2019
- 2019
- [j4]Yiran Huang, Cheng Zhong:
Detecting list-colored graph motifs in biological networks using branch-and-bound strategy. Comput. Biol. Medicine 107: 1-9 (2019) - [j3]Jinxiong Zhang, Cheng Zhong, Yiran Huang, Hai-Xiang Lin, Mian Wang:
A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks. Comput. Biol. Medicine 111 (2019) - [c4]Long Wang, Lennard Sommer, Till Riedel, Michael Beigl, Yexu Zhou, Yiran Huang:
NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones. SmartCity360° 2019: 127-138 - 2017
- [c3]Yiran Huang, Cheng Zhong, Jinxiong Zhang, Ye Li, Jun Liu:
Parallel Aligning Multiple Metabolic Pathways on Hybrid CPU and GPU Architectures. PAAP 2017: 483-492 - 2016
- [j2]Lun Li, Libin Zhang, Zhaowan Yang, Yiran Huang, Yanhong Zhou, Huai-Lan Liu:
Functional similarities between microRNAs inferred from biomedical texts. Int. J. Data Min. Bioinform. 15(3): 233-249 (2016) - 2015
- [j1]Ran Zhou, Yiqian Xie, Hao Hu, Guang Hu, Viral Sanjay Patel, Jin Zhang, Kunqian Yu, Yiran Huang, Hualiang Jiang, Zhongjie Liang, Yujun George Zheng, Cheng Luo:
Molecular Mechanism underlying PRMT1 Dimerization for SAM Binding and Methylase Activity. J. Chem. Inf. Model. 55(12): 2623-2632 (2015) - 2013
- [c2]Mahsan Rofouei, Mohammad Ali Ghodrat, Yiran Huang, Nabil Alshurafa, Majid Sarrafzadeh:
Improving accuracy in E-Textiles as a platform for pervasive sensing. BSN 2013: 1-6 - 2012
- [c1]Yiran Huang, Mahsan Rofouei, Majid Sarrafzadeh:
Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation. BSN 2012: 91-96
Coauthor Index
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last updated on 2024-11-30 01:10 CET by the dblp team
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