Jiaqi Wang

According to our database, Jiaqi Wang authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recent Advances in Predictive Modeling with Electronic Health Records.

Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma

CoRR, 2024

2023

Multimodal Federated Learning: A Survey.

Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma

Sensors, August, 2023

Backdoor Threats from Compromised Foundation Models to Federated Learning.

Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang

CoRR, 2023

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.

Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma

CoRR, 2023

Towards Personalized Federated Learning via Heterogeneous Model Reassembly.

Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma

CoRR, 2023

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.

Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hierarchical Pretraining on Multimodal Electronic Health Records.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Towards Federated COVID-19 Vaccine Side Effect Prediction.

Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.

Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Data Mining, 2022

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records.

Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.

Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

CoRR, 2021

An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic.

Jiaqi Wang

CoRR, 2021

Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions.

Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter

Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning.

Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text.

Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang

CoRR, 2020

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling.

Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020