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Yu Qiao 0005
Person information
- affiliation: RWTH Aachen University, Germany
Other persons with the same name
- Yu Qiao — disambiguation page
- Yu Qiao 0001
— Shanghai AI Laboratory, OpenGVLab, China (and 3 more)
- Yu Qiao 0002 — Biomedical Imaging Lab, Singapore
- Yu Qiao 0003
— Shanghai Jiao Tong University, Department of Automation, Institute of Image Processing and Pattern Recognition, China (and 1 more)
- Yu Qiao 0004
— Kyung Hee University, School of Computing, Department of Artificial Intelligence, Yongin, South Korea (and 1 more)
- Yu Qiao 0006
— Nanjing University, National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, China
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2020 – today
- 2023
- [c14]Sourabh Zanwar, Xiaofei Li, Daniel Wiechmann, Yu Qiao, Elma Kerz:
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection. ACL (Findings) 2023: 8926-8940 - [c13]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German. EACL (Findings) 2023: 1496 - [i10]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit. CoRR abs/2312.09451 (2023) - 2022
- [c12]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. LOUHI@EMNLP 2022: 184-196 - [c11]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
MANTIS at SMM4H'2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress. SMM4H@COLING 2022: 16-18 - [c10]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts. SMM4H@COLING 2022: 197-202 - [c9]Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann:
SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection. LREC 2022: 6405-6419 - [c8]Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann:
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. WASSA@ACL 2022: 182-194 - [i9]Daniel Wiechmann, Yu Qiao, Elma Kerz, Justus Mattern:
Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. CoRR abs/2203.08085 (2022) - [i8]Elma Kerz, Yu Qiao, Sourabh Zanwar, Daniel Wiechmann:
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features. CoRR abs/2204.04629 (2022) - [i7]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features. CoRR abs/2212.09465 (2022) - [i6]Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. CoRR abs/2212.09839 (2022) - [i5]Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz:
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification. CoRR abs/2212.09848 (2022) - [i4]Xiaofei Li, Daniel Wiechmann, Yu Qiao, Elma Kerz:
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders. CoRR abs/2212.09855 (2022) - 2021
- [c7]Elma Kerz, Daniel Wiechmann, Yu Qiao, Emma Tseng, Marcus Ströbel:
Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs. BEA@EACL 2021: 199-209 - [c6]Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz:
Alzheimer's Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. Interspeech 2021: 3805-3809 - [c5]Yu Qiao, Wei Zhou, Elma Kerz, Ralf Schlüter
:
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. Interspeech 2021: 4453-4457 - [c4]Elma Kerz, Yu Qiao, Daniel Wiechmann:
Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task. WASSA@EACL 2021: 13-24 - [i3]Yu Qiao, Zhou Wei, Elma Kerz, Ralf Schlüter:
The Impact of ASR on the Automatic Analysis of Linguistic Complexity and Sophistication in Spontaneous L2 Speech. CoRR abs/2104.08529 (2021) - [i2]Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz:
Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. CoRR abs/2106.08689 (2021) - [i1]Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya, Daniel Wiechmann, Wei Zhou, Elma Kerz, Ralf Schlüter:
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features. CoRR abs/2111.07130 (2021) - 2020
- [c3]Elma Kerz
, Yu Qiao, Daniel Wiechmann, Marcus Ströbel:
Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades. BEA@ACL 2020: 65-74 - [c2]Elma Kerz, Fabio Pruneri, Daniel Wiechmann, Yu Qiao, Marcus Ströbel:
Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours. LREC 2020: 182-188
2010 – 2019
- 2018
- [c1]Marcus Ströbel, Elma Kerz, Daniel Wiechmann, Yu Qiao:
Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network. MRC@IJCAI 2018: 56-63
Coauthor Index
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last updated on 2024-08-28 23:35 CEST by the dblp team
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