Ma, Fenglong

31 publications

NeurIPS 2025 Coloring Learning for Heterophilic Graph Representation Miaomiao Huang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Meixia Wang, Xingwei Wang

ICML 2025 Enhancing Foundation Models with Federated Domain Knowledge Infusion Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma

NeurIPS 2025 HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models Han Liu, Jiaqi Li, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Fenglong Ma, Yuanman Li, Hong Yu

AAAI 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu

ICLR 2025 RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang

ICML 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

AAAI 2024 Depression Detection via Capsule Networks with Contrastive Learning Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

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

ECML-PKDD 2024 Leveraging Foundation Models for Multi-Modal Federated Learning with Incomplete Modality Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma

AAAI 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

NeurIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-Directional Preference Optimization Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen

IJCAI 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

AAAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai

AAAI 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

NeurIPS 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma

IJCAI 2023 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang

AAAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

NeurIPS 2023 Defending Pre-Trained Language Models as Few-Shot Learners Against Backdoor Attacks Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang

NeurIPS 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

AAAI 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

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

NeurIPS 2023 UniT: A Unified Look at Certified Robust Training Against Text Adversarial Perturbation Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma

NeurIPS 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-Trained Models Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

WACV 2022 QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog Muchao Ye, Quanzeng You, Fenglong Ma

AAAI 2022 TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

ECML-PKDD 2022 Towards Federated COVID-19 Vaccine Side Effect Prediction Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma

ECML-PKDD 2021 ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection Guanjie Huang, Fenglong Ma

AAAI 2021 I-Algebra: Towards Interactive Interpretability of Deep Neural Networks Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang

IJCAI 2021 SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun

AAAI 2020 Weak Supervision for Fake News Detection via Reinforcement Learning Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao

IJCAI 2019 Metric Learning on Healthcare Data with Incomplete Modalities Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang