Fenglong Ma

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 151

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)
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)
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)
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)
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)
Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. 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)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM (2021)
Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao
Fairness-aware Outlier Ensemble. CoRR (2021)
Rui Li, Fenglong Ma, Jing Gao
Integrating Multimodal Electronic Health Records for Diagnosis Prediction. AMIA (2021)
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. 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. CoRR (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW (2021)
Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. SDM (2021)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI (2021)
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD (2021)
Guanjie Huang, Fenglong Ma
ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection. ECML/PKDD (5) (2021)
Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. ACL/IJCNLP (1) (2021)
Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. AAAI (2021)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW (2021)
Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR (2021)
Guanjie Huang, Fenglong Ma
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection. CoRR (2021)
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
Advances in Mining Heterogeneous Healthcare Data. KDD (2021)
Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD (2020)
Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao
LP-Explain: Local Pictorial Explanation for Outliers. ICDM (2020)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR (2020)
Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su
DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (1) (2020)
Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li
Joint imbalanced classification and feature selection for hospital readmissions. Knowl. Based Syst. 200 (2020)
Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM (2020)
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
A Benchmark Dataset for Understandable Medical Language Translation. CoRR (2020)
Zhenhui Li, Huaxiu Yao, Fenglong Ma
Learning with Small Data. WSDM (2020)
Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, Wenyao Xu
WaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing. IEEE Symposium on Security and Privacy (2020)
Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
Attackability Characterization of Adversarial Evasion Attack on Discrete Data. KDD (2020)
Chi Lin, Tingting Xu, Jie Xiong, Fenglong Ma, Lei Wang, Guowei Wu
WiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi. ICDCS (2020)
Yaqing Wang, Fenglong Ma, Jing Gao
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CIKM (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fenglong Ma