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Jiaqi Wang 0002
Person information
- affiliation: Pennsylvania State University, PA, USA
Other persons with the same name
- Jiaqi Wang — disambiguation page
- Jiaqi Wang 0001 — University of Southampton, UK
- Jiaqi Wang 0003 — Shanghai Artificial Intelligence Laboratory, China
- Jiaqi Wang 0004 — Tongji University, Shanghai, China
- Jiaqi Wang 0005 — Jinling Institute of Technology, Nanjing, China
- Jiaqi Wang 0006 — Beijing Jiaotong University, Beijing, China
- Jiaqi Wang 0007 — School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, China
- Jiaqi Wang 0008 — Zhejiang University, China
- Jiaqi Wang 0009 — Fudan University, Shanghai, China
- Jiaqi Wang 0010 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Jiaqi Wang 0011 — Northeastern University, Shenyang, China
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2020 – today
- 2024
- [c20]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI 2024: 6755-6763 - [c19]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma:
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) 2024: 3644-3656 - [c18]Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma:
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. LREC/COLING 2024: 3997-4007 - [c17]Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma:
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML 2024 - [c16]Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. IJCAI 2024: 8272-8280 - [c15]Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma:
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD 2024: 4607-4618 - [c14]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) 2024: 155-167 - [c13]Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma:
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. ECML/PKDD (9) 2024: 401-417 - [c12]Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM 2024: 361-369 - [c11]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM 2024: 499-507 - [i19]Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR abs/2401.11252 (2024) - [i18]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR abs/2401.15874 (2024) - [i17]Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. CoRR abs/2402.01077 (2024) - [i16]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR abs/2402.11083 (2024) - [i15]Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma:
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR abs/2402.15700 (2024) - [i14]Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma:
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. CoRR abs/2406.11048 (2024) - [i13]Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma:
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR abs/2406.13942 (2024) - [i12]Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma:
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR abs/2407.03247 (2024) - [i11]Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma:
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. CoRR abs/2408.09227 (2024) - [i10]Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma:
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. CoRR abs/2408.10276 (2024) - 2023
- [j1]Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma:
Multimodal Federated Learning: A Survey. Sensors 23(15): 6986 (2023) - [c10]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma:
Hierarchical Pretraining on Multimodal Electronic Health Records. EMNLP 2023: 2839-2852 - [c9]Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma:
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS 2023 - [c8]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM 2023: 496-504 - [i9]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR abs/2303.02668 (2023) - [i8]Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma:
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR abs/2308.08643 (2023) - [i7]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR abs/2310.02520 (2023) - [i6]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma:
Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR abs/2310.07871 (2023) - [i5]Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang:
Backdoor Threats from Compromised Foundation Models to Federated Learning. CoRR abs/2311.00144 (2023) - 2022
- [c7]Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma:
AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. BIBM 2022: 948-953 - [c6]Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma:
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM 2022: 81-90 - [c5]Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma:
Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) 2022: 437-452 - 2021
- [c4]Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData 2021: 715-724 - [c3]Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter:
Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions. AsianCHI@CHI 2021: 215-220 - [i4]Jiaqi Wang:
An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic. CoRR abs/2101.10868 (2021) - [i3]Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR abs/2109.04533 (2021) - [i2]Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. CoRR abs/2109.05612 (2021) - 2020
- [c2]Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang:
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. W-NUT@EMNLP 2020: 499-504 - [i1]Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang:
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. CoRR abs/2009.14262 (2020)
2010 – 2019
- 2015
- [c1]Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip J. Guo, Jiebo Luo:
Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence. ICSC 2015: 173-180
Coauthor Index
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