Jiaqi Wang

According to our database, Jiaqi Wang authored at least 29 papers between 2015 and 2024.

Collaborative distances:

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

2024

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection.

Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

CoRR, 2024

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

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.

Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality.

Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation.

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning.

Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models.

Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models.

Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.

Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Asymmetric Mutual Learning for Decentralized Federated Medical Imaging.

Jiaqi Wang, Houping Xiao, Fenglong Ma

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models.

Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

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

Towards Personalized Federated Learning via Heterogeneous Model Reassembly.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

2015

Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence.

Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip J. Guo, Jiebo Luo

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015