Yaqing Wang
Orcid: 0000-0002-1548-0727Affiliations:
- Google Deepmind
- Purdue University, IN, USA (Ph.D.)
According to our database1,
Yaqing Wang
authored at least 49 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
CoRR, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
BMC Medical Informatics Decis. Mak., 2019
A hybrid self-attention deep learning framework for multivariate sleep stage classification.
BMC Bioinform., 2019
2018
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017