Shaoxiong Ji
Cited by
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A Survey on Knowledge Graphs: Representation, Acquisition and Applications
S Ji, S Pan, E Cambria, P Marttinen, PS Yu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 33 (2 …, 2022
Supervised learning for suicidal ideation detection in online user content
S Ji, CP Yu, S Fung, S Pan, G Long
Complexity 2018, 2018
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
S Ji, S Pan, X Li, E Cambria, G Long, Z Huang
IEEE Transactions on Computational Social Systems 8 (1), 214 - 226, 2021
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
W Li, W Shao, S Ji, E Cambria
Neurocomputing 467, 73-82, 2022
Learning Private Neural Language Modeling with Attentive Aggregation
S Ji, S Pan, G Long, X Li, J Jiang, Z Huang
International Joint Conference on Neural Networks (IJCNN), 2019
Suicidal ideation and mental disorder detection with attentive relation networks
S Ji, X Li, Z Huang, E Cambria
Neural Computing and Applications 34 (13), 10309-10319, 2022
Dynamic sampling and selective masking for communication-efficient federated learning
S Ji, W Jiang, A Walid, X Li
IEEE Intelligent Systems 37 (2), 27 - 34, 2022
Decentralized knowledge acquisition for mobile internet applications
J Jiang, S Ji, G Long
World Wide Web 23, 2653–2669, 2020
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study
S Ji, M Hölttä, P Marttinen
Computers in Biology and Medicine 139, 2021
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
S Ji, E Cambria, P Marttinen
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
Detecting suicidal ideation with data protection in online communities
S Ji, G Long, S Pan, T Zhu, J Jiang, S Wang
International Conference on Database Systems for Advanced Applications (DASFAA), 2019
Sequential fusion of facial appearance and dynamics for depression recognition
Q Chen, I Chaturvedi, S Ji, E Cambria
Pattern Recognition Letters 150, 115-121, 2021
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare
S Ji, T Zhang, L Ansari, J Fu, P Tiwari, E Cambria
Proceedings of LREC, 7184--7190, 2022
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
S Ji, T Saravirta, S Pan, G Long, A Walid
arXiv preprint arXiv:2102.12920, 2021
Medical Code Assignment with Gated Convolution and Note-Code Interaction
S Ji, S Pan, P Marttinen
Findings of ACL-IJCNLP, 1034-1043, 2021
Knowledge transferring via model aggregation for online social care
S Ji, G Long, S Pan, T Zhu, J Jiang, S Wang, X Li
arXiv preprint arXiv:1905.07665, 2019
Multitask Recalibrated Aggregation Network for Medical Code Prediction
W Sun, S Ji, E Cambria, P Marttinen
Proceedings of ECML-PKDD 4, 367-383, 2021
Natural language processing applied to mental illness detection: a narrative review
T Zhang, AM Schoene, S Ji, S Ananiadou
npj Digital Medicine 5 (1), 1-13, 2022
Time series indexing by dynamic covering with cross-range constraints
T Sun, H Liu, S McLoone, S Ji, X Wu
The VLDB Journal 29 (6), 1365-1384, 2020
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER
A Pietiläinen, S Ji
Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022
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