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2020 – today
- 2024
[j19]Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid:
Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. 15(9): 3769-3790 (2024)- [j18]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): 4975-4985 (2024) - [c21]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: 1116-1128 - [c20]Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? LREC/COLING 2024: 2809-2818 - [c19]Ya Gao, Shaoxiong Ji, Pekka Marttinen:
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection. LREC/COLING 2024: 9787-9798 - [c18]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: 127-136 - [c17]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: 1347-1356 - [c16]Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives. EMNLP 2024: 15882-15894 - [c15]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: 1136-1141 - [i33]Peiqin Lin, Shaoxiong Ji, Jörg Tiedemann, André F. T. Martins, Hinrich Schütze:
MaLA-500: Massive Language Adaptation of Large Language Models. CoRR abs/2401.13303 (2024) - [i32]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 abs/2403.07544 (2024) - [i31]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 abs/2403.14009 (2024) - [i30]Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann:
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning? CoRR abs/2403.16777 (2024) - [i29]Shaoxiong Ji, Pinzhen Chen:
Lucky 52: How Many Languages Are Needed to Instruction Fine-Tune Large Language Models? CoRR abs/2404.04850 (2024) - [i28]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 abs/2407.15489 (2024) - 2023
- [b1]Shaoxiong Ji:
Natural Language Processing for Healthcare: Text Representation, Multitask Learning, and Applications. Aalto University, Espoo, Finland, 2023 - [j17]Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou:
Emotion fusion for mental illness detection from social media: A survey. Inf. Fusion 92: 231-246 (2023) - [j16]Luna Ansari, Shaoxiong Ji, Qian Chen, Erik Cambria:
Ensemble Hybrid Learning Methods for Automated Depression Detection. IEEE Trans. Comput. Soc. Syst. 10(1): 211-219 (2023) - [j15]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Balanced and Recalibrated Network for Medical Code Prediction. ACM Trans. Intell. Syst. Technol. 14(1): 17:1-17:20 (2023) - [c14]Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou:
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CIKM 2023: 2917-2927 - [c13]Shaoxiong Ji, Pekka Marttinen:
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. EACL 2023: 589-598 - [c12]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: 517-518 - [c11]Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou:
Towards Interpretable Mental Health Analysis with Large Language Models. EMNLP 2023: 6056-6077 - [c10]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: 444-459 - [i27]Shaoxiong Ji, Ya Gao, Pekka Marttinen:
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection. CoRR abs/2301.10451 (2023) - [i26]Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou:
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. CoRR abs/2304.03347 (2023) - [i25]Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou:
Emotion fusion for mental illness detection from social media: A survey. CoRR abs/2304.09493 (2023) - [i24]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 abs/2304.10447 (2023) - [i23]Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou:
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CoRR abs/2308.04811 (2023) - [i22]Shaoxiong Ji, Wei Sun, Pekka Marttinen:
Content Reduction, Surprisal and Information Density Estimation for Long Documents. CoRR abs/2309.06009 (2023) - [i21]Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev, Barry Haddow, Kenneth Heafield:
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca. CoRR abs/2309.08958 (2023) - [i20]Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria:
Rethinking Large Language Models in Mental Health Applications. CoRR abs/2311.11267 (2023) - 2022
- [j14]Shaoxiong Ji, Wenqi Jiang, Anwar Walid, Xue Li:
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. IEEE Intell. Syst. 37(2): 27-34 (2022) - [j13]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: 88-90 (2022) - [j12]Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria:
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis. Neurocomputing 467: 73-82 (2022) - [j11]Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput. Appl. 34(13): 10309-10319 (2022) - [j10]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) - [j9]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) - [j8]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): 494-514 (2022) - [c9]Shaoxiong Ji:
Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing. EMNLP (Findings) 2022: 4028-4038 - [c8]Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria:
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. LREC 2022: 7184-7190 - [c7]Ya Gao, Shaoxiong Ji, Tongxuan Zhang, Prayag Tiwari, Pekka Marttinen:
Contextualized Graph Embeddings for Adverse Drug Event Detection. ECML/PKDD (2) 2022: 605-620 - [c6]Aapo Pietiläinen, Shaoxiong Ji:
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER. SemEval@NAACL 2022: 1477-1482 - [i19]Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen:
A Unified Review of Deep Learning for Automated Medical Coding. CoRR abs/2201.02797 (2022) - [i18]Hang Dong, Matús Falis, William Whiteley, Beatrice Alex, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu:
Automated Clinical Coding: What, Why, and Where We Are? CoRR abs/2203.11092 (2022) - [i17]Ming Jiang, Shaoxiong Ji:
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis. CoRR abs/2208.11893 (2022) - 2021
- [j7]Shaoxiong Ji, Matti Hölttä, Pekka Marttinen:
Does the magic of BERT apply to medical code assignment? A quantitative study. Comput. Biol. Medicine 139: 104998 (2021) - [j6]Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu:
Knowledge graph representation and reasoning. Neurocomputing 461: 494-496 (2021) - [j5]Qian Chen, Iti Chaturvedi, Shaoxiong Ji, Erik Cambria:
Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognit. Lett. 150: 115-121 (2021) - [j4]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): 214-226 (2021) - [c5]Shaoxiong Ji, Shirui Pan, Pekka Marttinen:
Medical Code Assignment with Gated Convolution and Note-Code Interaction. ACL/IJCNLP (Findings) 2021: 1034-1043 - [c4]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. ECML/PKDD (4) 2021: 367-383 - [i16]Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid:
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning. CoRR abs/2102.12920 (2021) - [i15]Shaoxiong Ji, Matti Hölttä, Pekka Marttinen:
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study. CoRR abs/2103.06511 (2021) - [i14]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multitask Recalibrated Aggregation Network for Medical Code Prediction. CoRR abs/2104.00952 (2021) - [i13]Bruce Nguyen, Shaoxiong Ji:
Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification. CoRR abs/2108.11809 (2021) - [i12]Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Multi-task Balanced and Recalibrated Network for Medical Code Prediction. CoRR abs/2109.02418 (2021) - [i11]Shaoxiong Ji, Pekka Marttinen:
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning. CoRR abs/2109.03062 (2021) - [i10]Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria:
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. CoRR abs/2110.15621 (2021) - 2020
- [j3]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): 1365-1384 (2020) - [j2]Jing Jiang, Shaoxiong Ji, Guodong Long:
Decentralized Knowledge Acquisition for Mobile Internet Applications. World Wide Web 23(5): 2653-2669 (2020) - [c3]Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. ClinicalNLP@EMNLP 2020: 73-78 - [i9]Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition and Applications. CoRR abs/2002.00388 (2020) - [i8]Shaoxiong Ji, Wenqi Jiang, Anwar Walid, Xue Li:
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. CoRR abs/2003.09603 (2020) - [i7]Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria:
Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks. CoRR abs/2004.07601 (2020) - [i6]Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria:
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. CoRR abs/2006.00492 (2020) - [i5]Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. CoRR abs/2009.14578 (2020) - [i4]Shaoxiong Ji, Shirui Pan, Pekka Marttinen:
Medical Code Assignment with Gated Convolution and Note-Code Interaction. CoRR abs/2010.06975 (2020)
2010 – 2019
- 2019
- [c2]Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang:
Detecting Suicidal Ideation with Data Protection in Online Communities. DASFAA (3) 2019: 225-229 - [c1]Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang:
Learning Private Neural Language Modeling with Attentive Aggregation. IJCNN 2019: 1-8 - [i3]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 abs/1905.07665 (2019) - [i2]Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. CoRR abs/1910.12611 (2019) - 2018
- [j1]Shaoxiong Ji, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Guodong Long:
Supervised Learning for Suicidal Ideation Detection in Online User Content. Complex. 2018: 6157249:1-6157249:10 (2018) - [i1]Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang:
Learning Private Neural Language Modeling with Attentive Aggregation. CoRR abs/1812.07108 (2018)
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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