Shaoxiong Ji

Orcid: 0000-0003-3281-8002

According to our database1, Shaoxiong Ji authored at least 53 papers between 2018 and 2024.

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Bibliography

2024
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models?
CoRR, 2024

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki.
CoRR, 2024

MaLA-500: Massive Language Adaptation of Large Language Models.
CoRR, 2024

SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca.
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

A New Massive Multilingual Dataset for High-Performance Language Technologies.
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
Emotion fusion for mental illness detection from social media: A survey.
Inf. Fusion, April, 2023

Multitask Balanced and Recalibrated Network for Medical Code Prediction.
ACM Trans. Intell. Syst. Technol., February, 2023

Ensemble Hybrid Learning Methods for Automated Depression Detection.
IEEE Trans. Comput. Soc. Syst., February, 2023

Natural Language Processing for Healthcare: Text Representation, Multitask Learning, and Applications.
PhD thesis, 2023

Rethinking Large Language Models in Mental Health Applications.
CoRR, 2023

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca.
CoRR, 2023

Content Reduction, Surprisal and Information Density Estimation for Long Documents.
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

Towards Interpretable Mental Health Analysis with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HPLT: High Performance Language Technologies.
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
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2022

Natural language processing applied to mental illness detection: a narrative review.
npj Digit. Medicine, 2022

Automated clinical coding: what, why, and where we are?
npj Digit. Medicine, 2022

Suicidal ideation and mental disorder detection with attentive relation networks.
Neural Comput. Appl., 2022

BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis.
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

Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis.
CoRR, 2022

Automated Clinical Coding: What, Why, and Where We Are?
CoRR, 2022

A Unified Review of Deep Learning for Automated Medical Coding.
CoRR, 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

Contextualized Graph Embeddings for Adverse Drug Event Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare.
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
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications.
IEEE Trans. Comput. Soc. Syst., 2021

Sequential fusion of facial appearance and dynamics for depression recognition.
Pattern Recognit. Lett., 2021

Knowledge graph representation and reasoning.
Neurocomputing, 2021

Multi-task Balanced and Recalibrated Network for Medical Code Prediction.
CoRR, 2021

Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification.
CoRR, 2021

Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning.
CoRR, 2021

Does the magic of BERT apply to medical code assignment? A quantitative study.
Comput. Biol. Medicine, 2021

Multitask Recalibrated Aggregation Network for Medical Code Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Medical Code Assignment with Gated Convolution and Note-Code Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Decentralized Knowledge Acquisition for Mobile Internet Applications.
World Wide Web, 2020

Time series indexing by dynamic covering with cross-range constraints.
VLDB J., 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

Learning Private Neural Language Modeling with Attentive Aggregation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Detecting Suicidal Ideation with Data Protection in Online Communities.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Supervised Learning for Suicidal Ideation Detection in Online User Content.
Complex., 2018


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