Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence. - Quanzeng You; Jianbo Yuan; Jiaqi Wang 002; Philip J. Guo; Jiebo Luo 001 (ICSC, 2015)

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 002 (W-NUT@EMNLP, 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 002 (CoRR, 2020)

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. - Liwei Che; Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (IEEE BigData, 2021)

Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions. - Jiaqi Wang 002; Hua Shen; Chacha Chen; Frank E. Ritter (AsianCHI@CHI, 2021)

An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic. - Jiaqi Wang 002 (CoRR, 2021)

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. - Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (CoRR, 2021)

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. - Suhan Cui; Jiaqi Wang 002; Xinning Gui; Ting Wang 006; Fenglong Ma (BIBM, 2022)

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. - Suhan Cui; Junyu Luo 001; Muchao Ye; Jiaqi Wang 002; Ting Wang 006; Fenglong Ma (ICDM, 2022)

Towards Federated COVID-19 Vaccine Side Effect Prediction. - Jiaqi Wang 002; Cheng Qian 001; Suhan Cui; Lucas Glass; Fenglong Ma (ECML/PKDD (6), 2022)

Hierarchical Pretraining on Multimodal Electronic Health Records. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Ziyi Yin 003; Suhan Cui; Yuan Zhong 002; Yaqing Wang 001; Fenglong Ma (EMNLP, 2023)

Towards Personalized Federated Learning via Heterogeneous Model Reassembly. - Jiaqi Wang 002; Xingyi Yang; Suhan Cui; Liwei Che; Lingjuan Lyu; Dongkuan Xu; Fenglong Ma (NeurIPS, 2023)

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. - Jiaqi Wang 002; Shenglai Zeng; Zewei Long; Yaqing Wang 001; Houping Xiao; Fenglong Ma (SDM, 2023)

Backdoor Threats from Compromised Foundation Models to Federated Learning. - Xi Li; Songhe Wang; Chen Wu; Hao Zhou; Jiaqi Wang 002 (CoRR, 2023)

Multimodal Federated Learning: A Survey. - Liwei Che; Jiaqi Wang 002; Yao Zhou; Fenglong Ma (Sensors, 2023)

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Jiaqi Wang 002; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (AAAI, 2024)

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Yuan Zhong 002; Xiaokun Zhang 001; Yaqing Wang 001; Parminder Bhatia; Cao Xiao; Fenglong Ma (ACL (1), 2024)

Asymmetric Mutual Learning for Decentralized Federated Medical Imaging. - Jiaqi Wang 002; Houping Xiao; Fenglong Ma (BCB, 2024)

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. - Junyu Luo 001; Xiaochen Wang 002; Jiaqi Wang 002; Aofei Chang; Yaqing Wang 001; Fenglong Ma (LREC/COLING, 2024)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. - Aofei Chang; Jiaqi Wang 002; Han Liu 008; Parminder Bhatia; Cao Xiao; Ting Wang 006; Fenglong Ma (EMNLP (Findings), 2024)

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. - Xiaochen Wang 002; Jiaqi Wang 002; Houping Xiao; Jinghui Chen; Fenglong Ma (EMNLP, 2024)

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. - Jiaqi Wang 002; Chenxu Zhao; Lingjuan Lyu; Quanzeng You; Mengdi Huai; Fenglong Ma (ICML, 2024)

Recent Advances in Predictive Modeling with Electronic Health Records. - Jiaqi Wang 002; Junyu Luo 001; Muchao Ye; Xiaochen Wang 002; Yuan Zhong 002; Aofei Chang; Guanjie Huang; Ziyi Yin 003; Cao Xiao; Jimeng Sun 001; Fenglong Ma (IJCAI, 2024)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. - Yuan Zhong 002; Xiaochen Wang 002; Jiaqi Wang 002; Xiaokun Zhang 001; Yaqing Wang 001; Mengdi Huai; Cao Xiao; Fenglong Ma (KDD, 2024)

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. - Jiaqi Wang 002; Xiaochen Wang 002; Lingjuan Lyu; Jinghui Chen; Fenglong Ma (NeurIPS, 2024)

pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning. - Jiaqi Wang 002; Qi Li 012; Lingjuan Lyu; Fenglong Ma (NeurIPS, 2024)

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. - Jiaqi Wang 002; Yuzhong Chen; Yuhang Wu 002; Mahashweta Das; Hao Yang 007; Fenglong Ma (PAKDD (3), 2024)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. - Liwei Che; Jiaqi Wang 002; Xinyue Liu 002; Fenglong Ma (ECML/PKDD (9), 2024)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. - Suhan Cui; Jiaqi Wang 002; Yuan Zhong 002; Han Liu 008; Ting Wang 006; Fenglong Ma (SDM, 2024)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. - Yuan Zhong 002; Suhan Cui; Jiaqi Wang 002; Xiaochen Wang 002; Ziyi Yin 003; Yaqing Wang 001; Houping Xiao; Mengdi Huai; Ting Wang 006; Fenglong Ma (SDM, 2024)

Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. - Ziyi Yin 003; Muchao Ye; Yuanpu Cao; Jiaqi Wang 002; Aofei Chang; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (ACL (Findings), 2025)

Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. - Jiaqi Wang 002; Ziyi Yin 003; Quanzeng You; Lingjuan Lyu; Fenglong Ma (KDD (1), 2025)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. - Tianrun Yu; Jiaqi Wang 002; Haoyu Wang 004; Mingquan Lin; Han Liu 008; Nelson S. Yee; Fenglong Ma (CoRR, 2025)