Shaoxiong Ji

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 71

Top Topics

Language Processing

Machine Learning

Top Venues

npj Digit. Medicine

Publications

Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert, Shaoxiong Ji, Niki Andreas Lopi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. CoRR (2024)
Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? LREC/COLING (2024)
Shaoxiong Ji, Pinzhen Chen
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models? CoRR (2024)
Ya Gao, Shaoxiong Ji, Pekka Marttinen
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection. LREC/COLING (2024)
Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann
A New Massive Multilingual Dataset for High-Performance Language Technologies. CoRR (2024)
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou
SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. SIGIR (2024)
Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann
Two Stacks Are Better Than One: A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives. CoRR (2024)
Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? CoRR (2024)
Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann
A New Massive Multilingual Dataset for High-Performance Language Technologies. LREC/COLING (2024)
Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze
MaLA-500: Massive Language Adaptation of Large Language Models. CoRR (2024)
Junkai Cheng, Yi-Jia Zhang, Hengyi Zhang, Shaoxiong Ji, Mingyu Lu
TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh, Michele Boggia, Ona de Gibert Bonet, Shaoxiong Ji, Niki A. Loppi, Alessandro Raganato, Raúl Vázquez, Jörg Tiedemann
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki. EACL (Demonstrations) (2024)
Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Andrey Kutuzov, Barry Haddow, Kenneth Heafield
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. EACL (Findings) (2024)
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou
Emotion fusion for mental illness detection from social media: A survey. Inf. Fusion 92 (2023)
Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CoRR (2023)
Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Barry Haddow, Kenneth Heafield
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. CoRR (2023)
Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CIKM (2023)
Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria, Jörg Tiedemann
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. CoRR (2023)
Luna Ansari, Shaoxiong Ji, Qian Chen, Erik Cambria
Ensemble Hybrid Learning Methods for Automated Depression Detection. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Mikko Aulamo, Nikolay Bogoychev, Shaoxiong Ji, Graeme Nail, Gema Ramírez-Sánchez, Jörg Tiedemann, Jelmer van der Linde, Jaume Zaragoza
HPLT: High Performance Language Technologies. EAMT (2023)
Shaoxiong Ji, Ya Gao, Pekka Marttinen
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection. CoRR (2023)
Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria
Rethinking Large Language Models in Mental Health Applications. CoRR (2023)
Shaoxiong Ji, Wei Sun, Pekka Marttinen
Content Reduction, Surprisal and Information Density Estimation for Long Documents. CoRR (2023)
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou
Emotion fusion for mental illness detection from social media: A survey. CoRR (2023)
Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou
Towards Interpretable Mental Health Analysis with Large Language Models. EMNLP (2023)
Shaoxiong Ji, Pekka Marttinen
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. EACL (2023)
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Multitask Balanced and Recalibrated Network for Medical Code Prediction. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Wei Sun, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition. ECML/PKDD (6) (2023)
Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. CoRR (2023)
Ming Jiang, Shaoxiong Ji
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis. CoRR (2022)
Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. LREC (2022)
Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126 (2022)
Shaoxiong Ji, Wenqi Jiang, Anwar Walid, Xue Li
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. IEEE Intell. Syst. 37 (2) (2022)
Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
Automated clinical coding: what, why, and where we are? npj Digit. Medicine 5 (2022)
Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria
Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput. Appl. 34 (13) (2022)
Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
Automated Clinical Coding: What, Why, and Where We Are? CoRR (2022)
Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen
A Unified Review of Deep Learning for Automated Medical Coding. CoRR (2022)
Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis. Neurocomputing 467 (2022)
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Aapo Pietiläinen, Shaoxiong Ji
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER. SemEval@NAACL (2022)
Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou
Natural language processing applied to mental illness detection: a narrative review. npj Digit. Medicine 5 (2022)
Ya Gao, Shaoxiong Ji, Tongxuan Zhang, Prayag Tiwari, Pekka Marttinen
Contextualized Graph Embeddings for Adverse Drug Event Detection. ECML/PKDD (2) (2022)
Shaoxiong Ji
Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing. EMNLP (Findings) (2022)
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Multitask Recalibrated Aggregation Network for Medical Code Prediction. ECML/PKDD (4) (2021)
Shaoxiong Ji, Shirui Pan, Pekka Marttinen
Medical Code Assignment with Gated Convolution and Note-Code Interaction. ACL/IJCNLP (Findings) (2021)
Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. CoRR (2021)
Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu
Knowledge graph representation and reasoning. Neurocomputing 461 (2021)
Shaoxiong Ji, Matti Hölttä, Pekka Marttinen
Does the magic of BERT apply to medical code assignment? A quantitative study. Comput. Biol. Medicine 139 (2021)
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Multitask Recalibrated Aggregation Network for Medical Code Prediction. CoRR (2021)
Shaoxiong Ji, Pekka Marttinen
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. CoRR (2021)
Qian Chen, Iti Chaturvedi, Shaoxiong Ji, Erik Cambria
Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognit. Lett. 150 (2021)
Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. 8 (1) (2021)
Shaoxiong Ji, Matti Hölttä, Pekka Marttinen
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study. CoRR (2021)
Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Multi-task Balanced and Recalibrated Network for Medical Code Prediction. CoRR (2021)
Bruce Nguyen, Shaoxiong Ji
Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification. CoRR (2021)
Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning. CoRR (2021)
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
A Survey on Knowledge Graphs: Representation, Acquisition and Applications. CoRR (2020)
Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. ClinicalNLP@EMNLP (2020)
Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. CoRR (2020)
Shaoxiong Ji, Shirui Pan, Pekka Marttinen
Medical Code Assignment with Gated Convolution and Note-Code Interaction. CoRR (2020)
Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria
Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks. CoRR (2020)
Tao Sun, Hongbo Liu, Seán F. McLoone, Shaoxiong Ji, Xindong Wu
Time series indexing by dynamic covering with cross-range constraints. VLDB J. 29 (6) (2020)
Jing Jiang, Shaoxiong Ji, Guodong Long
Decentralized Knowledge Acquisition for Mobile Internet Applications. World Wide Web 23 (5) (2020)
Shaoxiong Ji, Erik Cambria, Pekka Marttinen
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. CoRR (2020)
Shaoxiong Ji, Wenqi Jiang, Anwar Walid, Xue Li
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. CoRR (2020)
Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang
Detecting Suicidal Ideation with Data Protection in Online Communities. DASFAA (3) (2019)
Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. CoRR (2019)
Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang, Xue Li
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care. CoRR (2019)
Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang
Learning Private Neural Language Modeling with Attentive Aggregation. IJCNN (2019)
Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang
Learning Private Neural Language Modeling with Attentive Aggregation. CoRR (2018)
Shaoxiong Ji, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Guodong Long
Supervised Learning for Suicidal Ideation Detection in Online User Content. Complex. 2018 (2018)