Fenglong Ma

According to our database, Fenglong Ma authored at least 149 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin

ACM Trans. Inf. Syst., May, 2024

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation.

Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin

IEEE Trans. Knowl. Data Eng., April, 2024

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection.

Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

CoRR, 2024

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models.

Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang

CoRR, 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

CoRR, 2024

FineRec: Exploring Fine-grained Sequential Recommendation.

Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Disentangling ID and Modality Effects for Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Clinical Trial Retrieval via Multi-grained Similarity Learning.

Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.

Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.

Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality.

Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches.

Zida Liu, Xianda Chen, Fenglong Ma, Julio Fernandez-Mendoza, Guohong Cao

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation.

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation.

Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models.

Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models.

Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Zero-Resource Hallucination Prevention for Large Language Models.

Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.

Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Generative AI in the Wild: Prospects, Challenges, and Strategies.

Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Asymmetric Mutual Learning for Decentralized Federated Medical Imaging.

Jiaqi Wang, Houping Xiao, Fenglong Ma

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction.

Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Predicting line of therapy transition via similar patient augmentation.

Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma

J. Biomed. Informatics, November, 2023

Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond.

Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, Xinning Gui

ACM Trans. Comput. Hum. Interact., August, 2023

Multimodal Federated Learning: A Survey.

Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma

Sensors, August, 2023

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities.

Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang

IEEE J. Biomed. Health Informatics, July, 2023

Hate Speech Detection via Dual Contrastive Learning.

Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

On the Security Risks of Knowledge Graph Reasoning.

Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang

Proceedings of the 32nd USENIX Security Symposium, 2023

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.

Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma

Proceedings of the 2023 SIAM International Conference on Data Mining, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Personalized Federated Learning via Heterogeneous Model Reassembly.

Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text.

Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Hierarchical Pretraining on Multimodal Electronic Health Records.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.

Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.

Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network.

Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoML in The Wild: Obstacles, Workarounds, and Expectations.

Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dynamic intent-aware iterative denoising network for session-based recommendation.

Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma

Inf. Process. Manag., 2022

Reasoning over Multi-view Knowledge Graphs.

Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang

CoRR, 2022

Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers.

Sean A. Rendar, Fenglong Ma

CoRR, 2022

QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog.

Muchao Ye, Quanzeng You, Fenglong Ma

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

WiLCA: Accelerating Contactless Authentication with Limited Data.

Chi Lin, Chuanying Ji, Fenglong Ma, Lei Wang, Wei Zhong, Guowei Wu

Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

Textbook Enhanced Student Learning Outcome Prediction.

Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Towards Federated COVID-19 Vaccine Side Effect Prediction.

Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization.

Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses.

Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao

Proceedings of the IEEE International Conference on Data Mining, 2022

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.

Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Data Mining, 2022

Medical Dialogue Generation via Extracting Heterogenous Information.

Bocheng Zhao, Zongli Jiang, Jinli Zhang, Fenglong Ma, Jianqiang Li

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Dual Memory Network for Medical Dialogue Generation.

Zongli Jiang, Jia Xu, Jinli Zhang, Fenglong Ma, Jianqiang Li

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation.

Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma

Proceedings of the 29th International Conference on Computational Linguistics, 2022

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips.

Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data.

Guanjie Huang, Ye Yuan, Guohong Cao, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records.

Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification.

Guanjie Huang, Fenglong Ma

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text.

Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards graph-based class-imbalance learning for hospital readmission.

Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li

Expert Syst. Appl., 2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma

CoRR, 2021

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.

Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

CoRR, 2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.

Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun

CoRR, 2021

Fairness-aware Outlier Ensemble.

Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao

CoRR, 2021

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the WWW '21: The Web Conference 2021, 2021

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.

Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses.

Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection.

Guanjie Huang, Fenglong Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Multimodal Emergent Fake News Detection via Meta Neural Process Networks.

Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Advances in Mining Heterogeneous Healthcare Data.

Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.

Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Knowledge-Guided Paraphrase Identification.

Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning.

Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Integrating Multimodal Electronic Health Records for Diagnosis Prediction.

Rui Li, Fenglong Ma, Jing Gao

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation.

Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Fusion: Towards Automated ICD Coding via Feature Compression.

Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks.

Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Joint imbalanced classification and feature selection for hospital readmissions.

Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li

Knowl. Based Syst., 2020

DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition.

Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.

Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma

CoRR, 2020

A Benchmark Dataset for Understandable Medical Language Translation.

Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma

CoRR, 2020

Learning with Small Data.

Zhenhui Li, Huaxiu Yao, Fenglong Ma

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

WaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing.

Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, Wenyao Xu

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records.

Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Attackability Characterization of Adversarial Evasion Attack on Discrete Data.

Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.

Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.

Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LP-Explain: Local Pictorial Explanation for Outliers.

Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

WiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi.

Chi Lin, Tingting Xu, Jie Xiong, Fenglong Ma, Lei Wang, Guowei Wu

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.

Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning.

Yaqing Wang, Fenglong Ma, Jing Gao

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Weak Supervision for Fake News Detection via Reinforcement Learning.

Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Predictive Models for Mining Electronic Health Records.

Fenglong Ma

PhD thesis, 2019

Towards Confidence Interval Estimation in Truth Discovery.

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang

IEEE Trans. Knowl. Data Eng., 2019

Incorporating medical code descriptions for diagnosis prediction in healthcare.

Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao

BMC Medical Informatics Decis. Mak., 2019

A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling.

Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, Lu Su

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

A hybrid self-attention deep learning framework for multivariate sleep stage classification.

Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang

BMC Bioinform., 2019

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.

Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan

Proceedings of the World Wide Web Conference, 2019

DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data.

Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.

Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks.

Chi Lin, Yanhong Zhou, Fenglong Ma, Jing Deng, Lei Wang, Guowei Wu

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Metric Learning on Healthcare Data with Incomplete Modalities.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Hierarchical Knowledge Tracing.

Tianqi Wang, Fenglong Ma, Jing Gao

Proceedings of the 12th International Conference on Educational Data Mining, 2019

IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation.

Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Online Federated Multitask Learning.

Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors.

Fenglong Ma, Shiran Zhong, Jing Gao, Ling Bian

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Multi-grained Named Entity Recognition.

Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

WiAU: An Accurate Device-Free Authentication System with ResNet.

Chi Lin, Jiaye Hu, Yu Sun, Fenglong Ma, Lei Wang, Guowei Wu

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

An Attention-based Recurrent Neural Networks Framework for Health Data Analysis.

Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Online Truth Discovery on Time Series Data.

Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Towards Environment Independent Device Free Human Activity Recognition.

Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.

Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.

Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Risk Prediction on Electronic Health Records with Prior Medical Knowledge.

Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data.

Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors.

Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao

Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.

Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks.

Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.

Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning.

Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

Leveraging the Power of Informative Users for Local Event Detection.

Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Discovering social spammers from multiple views.

Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang

Neurocomputing, 2017

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.

Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.

Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Long-Term Memory Networks for Question Answering.

Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao

Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Discovering Truths from Distributed Data.

Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Personalized disease prediction using a CNN-based similarity learning method.

Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.

Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso

Proceedings of the AMIA 2017, 2017

2016

Crowdsourcing High Quality Labels with a Tight Budget.

Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Topic Discovery for Short Texts Using Word Embeddings.

Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Influence-Aware Truth Discovery.

Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.

Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data.

Fenglong Ma, Jing Gao

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Topical Influential User Analysis with Relationship Strength Estimation in Twitter.

Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2011

Topic Detection with Hypergraph Partition Algorithm.

Xinyue Liu, Fenglong Ma, Hongfei Lin

J. Softw., 2011

2010

Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection.

Xinyue Liu, Fenglong Ma, Hongfei Lin, Hong Shen

Proceedings of the Third International Symposium on Parallel Architectures, 2010