Jiaqi Wang
Cited by
Cited by
Present situation and future prospect of renewable energy in China
D Zhang, J Wang, Y Lin, Y Si, C Huang, J Yang, B Huang, W Li
Renewable and Sustainable Energy Reviews 76, 865-871, 2017
Multimodal federated learning: A survey
L Che, J Wang, Y Zhou, F Ma
Sensors 23 (15), 6986, 2023
Fedcon: A contrastive framework for federated semi-supervised learning
Z Long, J Wang, Y Wang, H Xiao, F Ma
arXiv preprint arXiv:2109.04533, 2021
Fedtrinet: A pseudo labeling method with three players for federated semi-supervised learning
L Che, Z Long, J Wang, Y Wang, H Xiao, F Ma
2021 IEEE International Conference on Big Data (Big Data), 715-724, 2021
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
J Wang, S Zeng, Z Long, Y Wang, H Xiao, F Ma
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Towards personalized federated learning via heterogeneous model reassembly
J Wang, X Yang, S Cui, L Che, L Lyu, D Xu, F Ma
Conference on Neural Information Processing Systems (NeurIPS 23), 2023
Towards Federated COVID-19 Vaccine Side Effect Prediction
J Wang, C Qian, S Cui, L Glass, F Ma
European Conference on Machine Learning and Principles and Practice of …, 2022
Automed: automated medical risk predictive modeling on electronic health records
S Cui, J Wang, X Gui, T Wang, F Ma
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022
Backdoor Threats from Compromised Foundation Models to Federated Learning
X Li, S Wang, C Wu, H Zhou, J Wang*
FL@FM-NeurIPS’23, 2023
Hierarchical Pretraining on Multimodal Electronic Health Records
X Wang, J Luo, J Wang, Z Yin, S Cui, Y Zhong, Y Wang, F Ma
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners’ Interactions
J Wang, H Shen, C Chen, F Ritter
Proceedings of the Asian CHI Symposium 2021, 215-220, 2021
An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic
J Wang
The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21), 2021
Federated learning for rare disease detection: a survey
J Wang, F Ma
Rare Disease and Orphan Drugs Journal, 2023
Unveiling backdoor risks brought by foundation models in heterogeneous federated learning
X Li, C Wu, J Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 168-181, 2024
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
Y Zhong, S Cui, J Wang, X Wang, Z Yin, Y Wang, H Xiao, M Huai, T Wang, ...
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2023
FedLEGO: Enabling Heterogenous Model Cooperation via Brick Reassembly in Federated Learning
J Wang, S Cui, F Ma
International Workshop on Federated Learning for Distributed Data Mining, 2023
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
J Luo, X Wang, J Wang, A Chang, Y Wang, F Ma
arXiv preprint arXiv:2402.15700, 2024
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
S Cui, J Wang, Y Zhong, H Liu, T Wang, F Ma
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2024
Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats
C Wu, X Li, J Wang*
arXiv preprint arXiv:2401.10375, 2024
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling
C Chen, CY Huang, Y Hou, Y Shi, E Dai, J Wang*
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020
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