Shaoxiong Ji
Orcid: 0000-0003-3281-8002
According to our database1,
Shaoxiong Ji
authored at least 58 papers
between 2018 and 2024.
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Bibliography
2024
ACM Comput. Surv., December, 2024
Int. J. Mach. Learn. Cybern., September, 2024
TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction.
IEEE J. Biomed. Health Informatics, August, 2024
Two Stacks Are Better Than One: A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives.
CoRR, 2024
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models?
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Inf. Fusion, April, 2023
ACM Trans. Intell. Syst. Technol., February, 2023
IEEE Trans. Comput. Soc. Syst., February, 2023
Natural Language Processing for Healthcare: Text Representation, Multitask Learning, and Applications.
PhD thesis, 2023
CoRR, 2023
CoRR, 2023
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health.
CoRR, 2023
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis.
CoRR, 2023
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
npj Digit. Medicine, 2022
Neural Comput. Appl., 2022
Neurocomputing, 2022
Guest Editorial: Graph-powered machine learning in future-generation computing systems.
Future Gener. Comput. Syst., 2022
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning.
IEEE Intell. Syst., 2022
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
IEEE Trans. Comput. Soc. Syst., 2021
Pattern Recognit. Lett., 2021
Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification.
CoRR, 2021
CoRR, 2021
Comput. Biol. Medicine, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
World Wide Web, 2020
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
2018
Complex., 2018