Jiaqi Wang - RankMe

53 papers A* 11A 3Journal 23Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. KDD (1) Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2025	A*	`conf`	Enhancing Foundation Models with Federated Domain Knowledge Infusion. ICML Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
2025	—	`conf`	MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis. KDD (2) Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Fenglong Ma
2025	—	`conf`	Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. ACL (Findings) Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2025	—	`conf`	Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. KDD (2) Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025	J	`jnl`	Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. CoRR Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2024	—	`conf`	Asymmetric Mutual Learning for Decentralized Federated Medical Imaging. BCB Jiaqi Wang, Houping Xiao, Fenglong Ma
2024	J	`jnl`	Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. CoRR Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2024	A	`conf`	Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024	J	`jnl`	Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024	—	`conf`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. EMNLP (Findings) Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	J	`jnl`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. CoRR Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	A*	`conf`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	J	`jnl`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	J	`jnl`	CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
2024	—	`conf`	CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. LREC/COLING Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
2024	A*	`conf`	FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. EMNLP Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. CoRR Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024	A*	`conf`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. NeurIPS Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. CoRR Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	—	`conf`	Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. ECML/PKDD (9) Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma
2024	J	`jnl`	Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. CoRR Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma
2024	A	`conf`	MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2024	A*	`conf`	Recent Advances in Predictive Modeling with Electronic Health Records. IJCAI Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024	J	`jnl`	Recent Advances in Predictive Modeling with Electronic Health Records. CoRR Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024	—	`conf`	Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	J	`jnl`	Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	A*	`conf`	Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024	J	`jnl`	Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024	—	`conf`	Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
2024	A*	`conf`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	J	`jnl`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	A*	`conf`	pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning. NeurIPS Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma
2023	J	`jnl`	Backdoor Threats from Compromised Foundation Models to Federated Learning. CoRR Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang
2023	A*	`conf`	Hierarchical Pretraining on Multimodal Electronic Health Records. EMNLP Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
2023	J	`jnl`	Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
2023	A	`conf`	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2023	J	`jnl`	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2023	J	`jnl`	MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2023	J	`jnl`	Multimodal Federated Learning: A Survey. Sensors Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma
2023	A*	`conf`	Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
2023	J	`jnl`	Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
2022	—	`conf`	AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. BIBM Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma
2022	A*	`conf`	MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma
2022	—	`conf`	Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma
2021	J	`jnl`	An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic. CoRR Jiaqi Wang
2021	—	`conf`	Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions. AsianCHI@CHI Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter
2021	J	`jnl`	FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
2021	—	`conf`	FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
2021	J	`jnl`	FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. CoRR Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
2020	—	`conf`	TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. W-NUT@EMNLP Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2020	J	`jnl`	TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. CoRR Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2015	—	`conf`	Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence. ICSC Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip J. Guo, Jiebo Luo