Fenglong Ma

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 179

Top Venues

Publications

Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR (2024)
Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
FineRec: Exploring Fine-grained Sequential Recommendation. CoRR (2024)
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)
Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
Generative AI in the Wild: Prospects, Challenges, and Strategies. CHI (2024)
Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
FineRec: Exploring Fine-grained Sequential Recommendation. SIGIR (2024)
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)
Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR (2024)
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)
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR (2024)
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)
Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
Disentangling ID and Modality Effects for Session-based Recommendation. CoRR (2024)
Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR (2024)
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)
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 (2024)
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)
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 (2024)
Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. CoRR (2024)
Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
Disentangling ID and Modality Effects for Session-based Recommendation. SIGIR (2024)
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 (2024)
Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. AAAI (2024)
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI (2024)
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. CoRR (2024)
Zida Liu, Xianda Chen, Fenglong Ma, Julio Fernandez-Mendoza, Guohong Cao
DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches. PerCom (2024)
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst. 42 (3) (2024)
Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma
Clinical Trial Retrieval via Multi-grained Similarity Learning. SIGIR (2024)
Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Depression Detection via Capsule Networks with Contrastive Learning. AAAI (2024)
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 (2024)
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR (2024)
Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. KDD (2024)
Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
Generative AI in the Wild: Prospects, Challenges, and Strategies. CoRR (2024)
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)
Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR (2024)
Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR (2024)
Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma
Predicting line of therapy transition via similar patient augmentation. J. Biomed. Informatics 147 (2023)
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 (2023)
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 (2023)
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS (2023)
Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma
pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. CIKM (2023)
Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang
AutoML in The Wild: Obstacles, Workarounds, and Expectations. CoRR (2023)
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR (2023)
Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. CoRR (2023)
Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma
ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. CIKM (2023)
Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI (2023)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR (2023)
Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM (2023)
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin
Beyond Co-occurrence: Multi-modal Session-based Recommendation. CoRR (2023)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS (2023)
Junyu Luo, Cao Xiao, Fenglong Ma
Zero-Resource Hallucination Prevention for Large Language Models. CoRR (2023)
Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu
Hate Speech Detection via Dual Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
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)
Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS (2023)
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR (2023)
Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Few-Shot Text Classification via Distribution Estimation. AAAI (2023)
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI (2023)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR (2023)
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)
Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma
Multimodal Federated Learning: A Survey. Sensors 23 (15) (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
On the Security Risks of Knowledge Graph Reasoning. CoRR (2023)
Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, Xinning Gui
Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. ACM Trans. Comput. Hum. Interact. 30 (4) (2023)
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD (2023)
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. CoRR (2023)
Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang
AutoML in The Wild: Obstacles, Workarounds, and Expectations. CHI (2023)
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
On the Security Risks of Knowledge Graph Reasoning. USENIX Security Symposium (2023)
Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu
Hate Speech Detection via Dual Contrastive Learning. CoRR (2023)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Few-Shot Text Classification via Distribution Estimation. CoRR (2023)
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS (2023)
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM (2022)
Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. COLING (2022)
Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. COLING (2022)
Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma
Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) (2022)
Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM (2022)
Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma
LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD (2022)
Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. AAAI (2022)
Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. CoRR (2022)
Bocheng Zhao, Zongli Jiang, Jinli Zhang, Fenglong Ma, Jianqiang Li
Medical Dialogue Generation via Extracting Heterogenous Information. HPCC/DSS/SmartCity/DependSys (2022)
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR (2022)
Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM (2022)
Muchao Ye, Quanzeng You, Fenglong Ma
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. WACV (2022)
Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao
Textbook Enhanced Student Learning Outcome Prediction. SDM (2022)
Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma
AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. BIBM (2022)
Guanjie Huang, Fenglong Ma
TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification. BHI (2022)
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR (2022)
Sean A. Rendar, Fenglong Ma
Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers. CoRR (2022)
Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59 (3) (2022)
Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang
Reasoning over Multi-view Knowledge Graphs. CoRR (2022)
Chi Lin, Chuanying Ji, Fenglong Ma, Lei Wang, Wei Zhong, Guowei Wu
WiLCA: Accelerating Contactless Authentication with Limited Data. SECON (2022)
Guanjie Huang, Ye Yuan, Guohong Cao, Fenglong Ma
AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data. BIBM (2022)
Zongli Jiang, Jia Xu, Jinli Zhang, Fenglong Ma, Jianqiang Li
Dual Memory Network for Medical Dialogue Generation. HPCC/DSS/SmartCity/DependSys (2022)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR (2021)
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)
Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li
Towards graph-based class-imbalance learning for hospital readmission. Expert Syst. Appl. 176 (2021)
Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. CoRR (2021)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) (2021)
Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao
Knowledge-Guided Paraphrase Identification. EMNLP (Findings) (2021)
Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. CoRR (2021)
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fenglong Ma