What We are Working On
Publications
Authors with underline are my supervised students, and * indicates equal contribution.
2025
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Multimodal Artificial Intelligence in Healthcare
Jiaqi Wang, Xiaochen Wang, Yuan Zhong, Ziyi Yin, Aofei Chang, Cao Xiao, and Fenglong Ma
Conference Tutorial at the Thirty-Ninth AAAI Conference on Artificial Intelligence
(AAAI 2025), February 25 - March 4, 2025, Philadelphia, Pennsylvania, USA.
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Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis
Jiaqi Wang*, Ziyi Yin*, Quanzeng You, Lingjuan Lyu, and Fenglong Ma
Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2025), August 3 - 7, 2025, Toronto, ON, Canada. (* equal contribution, research track acceptance rate: 19%)
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SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models
Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, and Hong Yu
Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2025), August 3 - 7, 2025, Toronto, ON, Canada. (* equal contribution, research track acceptance rate: 19%)
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Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention
Wen Xiong, Jinduo Liu, Junzhong Ji, and Fenglong Ma
Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2025), August 3 - 7, 2025, Toronto, ON, Canada. (* equal contribution, research track acceptance rate: 19%)
2024
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FedMeKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
Jiaqi Wang*, Xiaochen Wang*, Lingjuan Lyu, Jinghui Chen and Fenglong Ma
Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems
(NeurPIS 2024), December 9-15, 2024, Vancouver, Canada. (Spotlight, * equal contribution, datasets and benchmarks track acceptance rate: 25.3%)
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pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning
Jiaqi Wang, Qi Li, Lingjuan Lyu and Fenglong Ma
Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems
(NeurPIS 2024), December 9-15, 2024, Vancouver, Canada. (acceptance rate: 25.8%)
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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 and Jinghui Chen
Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems
(NeurPIS 2024), December 9-15, 2024, Vancouver, Canada. (acceptance rate: 25.8%)
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Asymmetric Mutual Learning for Decentralized Federated Medical Imaging
Jiaqi Wang, Houping Xiao and Fenglong Ma
Proceedings of the 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
(ACM-BCB 2024), November 22-25, 2024, Shenzhen, China. (Oral acceptance rate: 17.6%)
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FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
Xiaochen Wang*, Jiaqi Wang*, Houping Xiao, Jinghui Chen and Fenglong Ma
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
(EMNLP 2024 Main), November 12 –16, Miami, Florida. (* equal contribution)
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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 and Fenglong Ma
Findings of the 2024 Conference on Empirical Methods in Natural Language Processing
(EMNLP 2024 Findings), November 12 –16, Miami, Florida.
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Zero-Resource Hallucination Prevention for Large Language Models
Junyu Luo, Cao Xiao and Fenglong Ma
Findings of the 2024 Conference on Empirical Methods in Natural Language Processing
(EMNLP 2024 Findings), November 12 –16, Miami, Florida.
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Boosting Deep Learning for Interpretable Brain MR Lesion Detection through the Integration of Textual Features Derived From Radiology Reports
Lisong Dai, Jiayu Lei, Fenglong Ma, Zheng Sun, Haiyan Du, Houwang Zhang, Jingxuan Jiang, Jianyong Wei, Dan Wang, Guang Tan, Xinyu Song, Jinyu Zhu, Qianqian Zhao, Songtao Ai, Ai Shang, Zhaohui Li, Ya Zhang, and Yuehua Li
Radiology: Artificial Intelligence, accepted. (Impact factor: 8.1)
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Scaling Vision Foundation Models with Federated Adapter Generalization
Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Fenglong Ma and Lingjuan Lyu
International Workshop on Federated Learning in the Age of Foundation Models In Conjunction with IJCAI 2024
(FL@FM-IJCAI 2024), August 5, 2024, Jeju Island, South Korea. (Best Paper Award)
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Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
Liwei Che, Jiaqi Wang, Xinyue Liu and Fenglong Ma
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML-PKDD 2024), September 9-13, Vilnius, Lithuania.
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Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao and Fenglong Ma
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2024), Aug. 25-29, 2024, Barcelona, Spain.
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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 and Fenglong Ma
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2024), Aug. 25-29, 2024, Barcelona, Spain.
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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 and Fenglong Ma
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics
(ACL 2024), August 11-16, 2024, Bangkok, Thailand.
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Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai and Fenglong Ma
Proceedings of the Forty-first International Conference on Machine Learning
(ICML 2024), Jul 21st-27th, 2024, Vienna, Austria. (acceptance rate: 27.5%)
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Recent Advances in Predictive Modeling with Electronic Health Records[Paper][Slides]
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong,
Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun and Fenglong Ma
Proceedings of the 33rd International Joint Conference on Artificial Intelligence
(IJCAI 2024), Aug. 3-9, 2024, Jeju, South Korea. (Survey Track, acceptance rate: 20.7%)
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Clinical Trial Retrieval via Multi-grained Group-based Similarity Learning
Junyu Luo, Cheng Qian, Lucas Glass and Fenglong Ma
Proceedings of the SIGIR Symposium on IR in Practice
(SIRIP 2024), July 14-18, 2024, Washington D.C., USA. (SIGIR Industry Track, acceptance rate: 34%)
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FineRec: Exploring Fine-grained Sequential Recommendation
Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin and Fenglong Ma
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
(SIGIR 2024), July 14-18, 2024, Washington D.C., USA. (acceptance rate: 20.1%)
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Disentangling ID and Modality Effects for Session-based Recommendation
Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin and Fenglong Ma
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
(SIGIR 2024), July 14-18, 2024, Washington D.C., USA. (acceptance rate: 20.1%)
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Supporting Physical Activity Adoption through Recommender System Technology: A Pilot Study
Jennifer Agans, Fenglong Ma, Serena Schade and Christopher Sciamanna
Journal of Health Psychology, accepted. (Impact factor: 3.2)
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CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang and Fenglong Ma
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
(LREC-COLING 2024), May 20-25, 2024, Torino, Italy, accepted.
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Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang and Fenglong Ma
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD 2024), May 7-10, 2024, Taipei, Taiwan, accepted.
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Generative AI in the Wild: Marvelous, Mysterious, and Maddening
Yuan Sun, Eunchae Jang, Fenglong Ma and Ting Wang
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems
(CHI 2024), May 11-16, 2024, Hawaii, USA, accepted. (acceptance rate: 26.3%)
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DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches
Zida Liu, Xianda Chen, Fenglong Ma, Julio Fernandez-Mendoza and Guohong Cao
Proceedings of the 22nd IEEE International Conference on Pervasive Computing and Communications
(PerCom 2024), March 11-15, 2024, Biarritz, France, accepted. (acceptance rate: 14.5%)
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MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
Yuan Zhong, Suhan Cui, Jiaqi Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang and Fenglong Ma
Proceedings of the 24th SIAM International Conference on Data Mining
(SDM 2024), accepted. (acceptance rate: 29.2%)
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Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang and Fenglong Ma
Proceedings of the 24th SIAM International Conference on Data Mining
(SDM 2024), accepted. (acceptance rate: 29.2%)
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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 and Fenglong Ma
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence
(AAAI 2024), accepted. (acceptance rate: 23.75%)
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Towards Modeling Uncertainties of Self-explaining Neural Networks
Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang and Mengdi Huai
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence
(AAAI 2024), accepted. (acceptance rate: 23.75%)
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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 and Xianchao Zhang
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence
(AAAI 2024), accepted. (acceptance rate: 23.75%)
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Depression Detection via Capsule Networks with Contrastive Learning
Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu and Xianchao Zhang
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence
(AAAI 2024), AI for Social Impact (AISI) special track, accepted. (acceptance rate: 24.2%)
2023
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Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin and Hongfei Lin
ACM Transactions on Information Systems
(TOIS), accepted. (Impact factor: 5.6)
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Hierarchical Pretraining on Multimodal Electronic Health Records
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang and Fenglong Ma
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
(EMNLP 2023), December 6-10, 2023, Singapore, accepted.
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Predicting Line of Therapy Transition via Similar Patient Augmentation
Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang and Fenglong Ma
Journal of Biomedical Informatics (JBI), accepted. (Impact factor: 4.5)
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Federated Learning for Rare Disease Detection: A Survey
Jiaqi Wang and Fenglong Ma
Rare Disease and Orphan Drugs Journal, accepted.
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Towards Personalized Federated Learning via Heterogeneous Model Reassembly
Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu and Fenglong Ma
Proceedings of the 37th Conference on Neural Information Processing Systems
(NeurIPS 2023), Dec. 10-16, 2023, New Orleans, LA, USA, accepted.
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VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pretrained Models
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang and Fenglong Ma
Proceedings of the 37th Conference on Neural Information Processing Systems
(NeurIPS 2023), Dec. 10-16, 2023, New Orleans, LA, USA, accepted.
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UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation
Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang and Fenglong Ma
Proceedings of the 37th Conference on Neural Information Processing Systems
(NeurIPS 2023), Dec. 10-16, 2023, New Orleans, LA, USA, accepted.
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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 and Ting Wang
Proceedings of the 37th Conference on Neural Information Processing Systems
(NeurIPS 2023), Dec. 10-16, 2023, New Orleans, LA, USA, accepted.
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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 and Xianchao Zhang
Proceedings of the 37th Conference on Neural Information Processing Systems
(NeurIPS 2023), Dec. 10-16, 2023, New Orleans, LA, USA, accepted.
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Beyond Co-occurrence: Multi-modal Session-based Recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang and Hongfei Lin
IEEE Transactions on Knowledge and Data Engineering
(TKDE), accepted.
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ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Risk Levels and Risk Factors
Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao and Fenglong Ma
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
(CIKM 2023), Oct. 21-25, 2023, Birmingham, UK, accepted.
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pADR: Towards Personalized Adverse Drug Reaction Prediction
Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass and Fenglong Ma
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
(CIKM 2023), Oct. 21-25, 2023, Birmingham, UK, accepted.
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Boosting Meta-learning Cold-start Recommendation with Graph Neural Network
Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu and Xianchao Zhang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
(CIKM 2023), Oct. 21-25, 2023, Birmingham, UK, accepted.
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Multimodal Federated Learning: A Survey
Liwei Che, Jiaqi Wang, Yao Zhou and Fenglong Ma
MDPI Sensors
(Sensors), accepted.
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Hate Speech Detection via Dual Contrastive Learning
Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma and Bo Xu
Transactions on Audio, Speech and Language Processing
(TASL), accepted.
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PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang and Fenglong Ma
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2023), August 6-10, 2023, San Diego, CA, USA, accepted.
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How do urban spaces induce transmission of influenza-like illness?
Shiran Zhong, Fenglong Ma, Jing Gao and Ling Bian
International Journal of Environmental Research and Public Health
(IJERPH), accepted.
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On the Security Risks of Knowledge Graph Reasoning
Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma and Ting Wang
Proceedings of the 32nd USENIX Security Symposium
(USENIX Security 2023), AUGUST 9–11, 2023, ANAHEIM, CA, USA.
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Forecasting User Interests Through Topic Tag Predictions in Online Health Communities
Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, and Sharon Xiaolei Huang
IEEE Journal of Biomedical and Health Informatics
(JBHI), accepted. (Impact factor: 7.021)
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Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Han Liu, Xingshuo Huang, Xiaotong Zhang, Xiaoming Xu, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, and Xianchao Zhang
Proceedings of the 32nd International Joint Conference on Artificial Intelligence
(IJCAI 2023), 19th-25th August 2023, Macao, S.A.R. (Acceptance rate: 15%)
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Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond
Yue You, Chun-hua Tsai, Yao Li, Fenglong Ma, Christopher Heron and Xinning Gui
ACM Transactions on Computer-Human Interaction
(TOCHI), accepted. (Impact factor: 4.106)
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AutoML in The Wild: Obstacles, Workarounds, and Expectations
Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma and Ting Wang
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems
(CHI 2023), April 23-28, 2023, Hamburg, Germany. (Acceptance rate: 28.39%)
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Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao and Fenglong Ma
Proceedings of the SIAM International Conference on Data Mining
(SDM 2023), April 27-29, 2023, Minneapolis, Minnesota, USA. (Acceptance rate: 27.4%)
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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, and Xianchao Zhang
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence
(AAAI 2023), February 7-14, 2023, Washington DC, USA. (Acceptance rate: 1,721/8,777 = 19.6%)
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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, Hong Yu, and Xianchao Zhang
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence
(AAAI 2023), February 7-14, 2023, Washington DC, USA. (Acceptance rate: 1,721/8,777 = 19.6%)
2022
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Medical Dialogue Generation via Extracting Heterogeneous Information
Bocheng Zhao, Zongli Jiang, Jinli Zhang, Fenglong Ma and Jianqiang Li
Proceedings of the 24th IEEE International Conference on High Performance Computing and Communications
(HPCC 2022), Dec 18 - 21, 2022, Chengdu, China. (Regular paper acceptance rate: 117/663 = 17.6%)
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Dual Memory Network for Medical Dialogue Generation
Zongli Jiang, Jia Xu, Jinli Zhang, Fenglong Ma and Jianqiang Li
Proceedings of the 24th IEEE International Conference on High Performance Computing and Communications
(HPCC 2022), Dec 18 - 21, 2022, Chengdu, China. (Regular paper acceptance rate: 117/663 = 17.6%)
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AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records
Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang and Fenglong Ma
Proceedings of the 2022 IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2022), December 6-9, 2022, Las Vegas, NV, USA. (Regular paper acceptance rate: 167/842 = 19.8%)
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AccSleepNet: An Axis-Aware Hybrid Fusion-Based Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data
Guanjie Huang, Ye Yuan, Guohong Cao and Fenglong Ma
Proceedings of the 2022 IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2022), December 6-9, 2022, Las Vegas, NV, USA. (Regular paper acceptance rate: 167/842 = 19.8%)
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MedAttacker: Hybrid Black-box Adversarial Attacks on Risk Prediction Models in Healthcare
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang and Fenglong Ma
Proceedings of the 2022 IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2022), December 6-9, 2022, Las Vegas, NV, USA. (Short paper acceptance rate: 171/842 = 20%)
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MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data
Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang and Fenglong Ma
Proceedings of the 22nd IEEE International Conference on Data Mining
(ICDM 2022), Nov 28 - Dec 1, 2022, Orlando, FL. (Regular paper acceptance rate: 85/870 =9.77%)
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Heterogeneous Information Enhanced Knowledge Concept Prerequisite Learning in MOOCs
Tianqi Wang, Fenglong Ma, Yaqing Wang and Jing Gao
Proceedings of the 22nd IEEE International Conference on Data Mining
(ICDM 2022), Nov 28 - Dec 1, 2022, Orlando, FL. (Acceptance rate: 174/870 =20%)
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Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation
Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui and Fenglong Ma
Proceedings of the 29th International Conference on Computational Linguistics
(COLING 2022), OCTOBER 12-17, 2022, GYEONGJU, REPUBLIC OF KOREA.
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RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips
Bo Xu, Hongtong Zhang, Linlin Zong, Dezhi Hao, Jian Wang, Hongfei Lin and Fenglong Ma
Proceedings of the 29th International Conference on Computational Linguistics
(COLING 2022), OCTOBER 12-17, 2022, GYEONGJU, REPUBLIC OF KOREA.
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TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification
Guanjie Huang and Fenglong Ma
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics
(BHI 2022), Ioannina Greece, 27-30 September, 2022.
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WiLCA: Accelerating Contactless Authentication with Limited Data
Chi Lin, Chuanying Ji, Fenglong Ma, Lei Wang, Wei Zhong and Guowei Wu
Proceedings of the IEEE International Conference on Sensing, Communication, and Networkings
(SECON 2022), 20–23 September 2022, Virtual Conference. (Acceptance rate: 57/218 =26%)
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Towards Federated COVID-19 Vaccine Side Effect Prediction
Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass and Fenglong Ma
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML-PKDD 2022), Grenoble, France, September 19-23, 2022. (Acceptance rate: 242/932 =26%)
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LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization
Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang and Fenglong Ma
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2022), Aug 14, 2022 - Aug 18, 2022, Washington DC. (Acceptance rate: 254/1695 =15%)
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Modeling driver takeover intentions in automated vehicles with an attention-based CNN algorithm
Shantanu Gupta, Rohit Mishra, Yu-Hao Chang, Zheng Ma, Fenglong Ma and Yiqi Zhang
Proceedings of the HFES 66th International Annual Meeting
(HFES 2022), October 10 - 14, 2022, Atlanta, GA.
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Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu and Hongfei Lin
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information
Retrieval
(SIGIR 2022), Madrid, July 11-15, 2022. (Acceptance rate: 161/794 =20%)
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Dynamic Intent-aware Iterative Denoising Network for Session-based Recommendation
Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, and Fenglong Ma
Information Processing & Management
(IPM), accepted. (Impact fator: 6.222)
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Textbook Enhanced Student Learning Outcome Prediction
Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang and Jing Gao
Proceedings of the SIAM International Conference on Data Mining
(SDM 2022), April 28-30, 2022, Alexandria, Virginia, U.S. (Acceptance rate: 83/298 =27.8%)
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TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
Muchao Ye, Chenglin Miao, Ting Wang and Fenglong Ma
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence
(AAAI 2022), Feb 22 - Mar 1, 2022, Vancouver, BC, Canada. [Paper] (Acceptance rate: 1349/9020 =15%)
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QUALIFIER: Question-Guided Self-attentive Multi-modal Fusion Network for Audio Visual Scene-Aware Dialog
Muchao Ye, Quanzeng You and Fenglong Ma
Proceedings of the 2022 Winter Conference on Applications of Computer Vision
(WACV 2022), Waikoloa, Hawaii, January 4-8, 2022. (Accepted)
2021
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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
(BigData 2021), December 15-18 2021, Online, accepted. (Acceptance rate: 97/486 =19.9%)
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Knowledge-Guided Paraphrase Identification
Haoyu Wang, Fenglong Ma, Yaqing Wang and Jing Gao.
Findings of the 2021 Conference on Empirical Methods in Natural Language Processing
(Findings of EMNLP 2021), 7th-11th November 2021, Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic, accepted.
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MedRetriever: Target-Driven Health Risk Prediction via Retrieving Unstructured Medical Text
Muchao Ye*, Suhan Cui*, Yaqing Wang, Junyu Luo, Cao Xiao and Fenglong Ma.
Proceedings of the 30th ACM International Conference on Information and Knowledge Management
(CIKM 2021), 1-5 November 2021, Online, Hosted in Gold Coast, Queensland, Australia. (Acceptance rate: 271/1251 =21.7%)
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Integrating Multimodal Electronic Health Records for Diagnosis Prediction
Rui Li, Fenglong Ma and Jing Gao.
Proceedings of the AMIA 2021 Annual Symposium
(AMIA 2021), October 30 - November 3, 2021, San Diego. [Paper]
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ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
Guanjie Huang and Fenglong Ma.
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML-PKDD 2021), virtual, September 13-17, 2021. (Accepted)
[arXiv]
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Advances in Mining Heterogeneous Healthcare Data
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, and Jimeng Sun.
Conference Tutorial at the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2021), August 14-18, 2021, Singapore. (Accepted)
[Website]
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Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, and Jing Gao.
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD 2021), August 14-18, 2021, Singapore. (Accepted)
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Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation
Xingyi Yang, Muchao Ye, Quanzeng You and Fenglong Ma.
Proceedings of the 59th Annual Meetingof the Association for Computational Linguistics
(ACL 2021), August 1-6, 2021, Bangkok, Thailand. (Accepted)
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Fusion: Towards Automated ICD Coding via Feature Compression
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun and Fenglong Ma.
Findings of the 59th Annual Meetingof the Association for Computational Linguistics
(Findings of ACL 2021), August 1-6, 2021, Bangkok, Thailand. (Accepted)
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SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass and Jimeng Sun.
Proceedings of the 30th International Joint Conference on Artificial Intelligence
(IJCAI 2021), Montreal-themed Virtual Reality, 21st -26th August, 2021. (Accepted)
-
Towards Graph-based Class-imbalance Learning for Hospital Readmission
Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin and Shazi Li.
Expert Systems With Applications
(ESWA), 2021. (Accepted)
-
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths
Muchao Ye*, Suhan Cui*, Yaqing Wang, Junyu Luo, Cao Xiao and Fenglong Ma.
Proceedings of the 30th The Web Conference
(WWW 2021), Ljubljana, Slovenia, April 19-23, 2021. (Acceptance rate: 357/1736=20.6%)
-
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M Glass, Jimeng Sun, Cao Xiao
Proceedings of the 30th The Web Conference
(WWW 2021), Ljubljana, Slovenia, April 19-23, 2021. (Acceptance rate: 357/1736=20.6%)
[arXiv]
-
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses
Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, and Jing Gao
Proceedings of the SIAM International Conference on Data Mining
(SDM 2021), March 25 - 27, 2021, Alexandria, Virginia, US. (Acceptance rate: 85/400=21.25%)
-
i-Algebra: Towards Interactive Interpretability of Neural Networks
Xinyang Zhang, Pang Ren, Shouling Ji, Fenglong Ma, and Ting Wang
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
(AAAI 2021), virtually February 2-9, 2021. (Acceptance rate: 1692/9034=21%)
2020
-
LP-Explain: Local Pictorial Explanation for Outliers
Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, and Jing Gao.
Proceedings of the 20th IEEE International Conference on Data Mining
(ICDM 2020), Nov 17 - 20, 2020, Sorrento, Italy. (Acceptance rate: 91/930=9.8%)
-
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction
Muchao Ye, Junyu Luo, Cao Xiao and Fenglong Ma.
Proceedings of the 29th ACM International Conference on Information and Knowledge Management
(CIKM 2020), 19-23 October 2020, Galway, Ireland. (Acceptance rate: 193/920=21%)
-
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Yaqing Wang, Fenglong Ma, and Jing Gao.
Proceedings of the 29th ACM International Conference on Information and Knowledge Management
(CIKM 2020), 19-23 October 2020, Galway, Ireland. (Acceptance rate: 193/920=21%)
-
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records
Junyu Luo, Muchao Ye, Cao Xiao and Fenglong Ma.
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2020), August 23-27, 2020, San Diego, CA. (Acceptance rate: 216/1279=16.9%)
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DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation
Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang and Dongwon Lee.
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2020), August 23-27, 2020, San Diego, CA. (Acceptance rate: 216/1279=16.9%)
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Attackability Characterization of Adversarial Evasion Attack on Discrete Data
Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li and Xiangliang Zhang.
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2020), August 23-27, 2020, San Diego, CA. (Acceptance rate: 216/1279=16.9%)
-
The Prediction of Collisions in Connected Vehicle Systems with A Long Short-Term Memory Model
Rohit Mishra, Yiqi Zhang, Anlong Li, and Fenglong Ma.
Proceedings of the 64th Annual Meeting of Human Factors and Ergonomics Society
(HFES 2020), October 5 - 9, 2020.
-
Joint Imbalanced Classification and Feature Selection for Hospital Readmissions
Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, and Shaozi Li.
Knowledge-Based Systems
(KBS), 2020, accepted.
-
WiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi
Chi Lin, Tingting Xu, Jie Xiong, Fenglong Ma, Lei Wang and Guowei Wu.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems
(ICDCS 2020), November 29 - December 1, 2020, Singapore. (Acceptance rate: 105/584=18%)
-
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, and Lu Su.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
(IMWUT/UbiComp 2020), September 12-16, 2020, Cancún, México.
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Rare Disease Prediction by Generating Quality-Assured Electronic Health Records
Fenglong Ma*, Yaqing Wang*, Jing Gao, Houping Xiao, and Jing Zhou.
Proceedings of the SIAM International Conference on Data Mining
(SDM 2020), May 7-9, 2020, Cincinnati, Ohio. (Acceptance rate: 75/312=24.0%, * indicates equal contribution)
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Weak Supervision for Fake News Detection via Reinforcement Learning
Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Harry Zhong, Qiang Deng, and Jing Gao.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence
(AAAI 2020), February 7-12, 2020, New York, NY.
-
Learning with Small Data
Zhenhui Li, Huaxiu Yao and Fenglong Ma.
Conference Tutorial at the 13th ACM International Conference on Web Search and Data Mining
(WSDM 2020), February 3-7, 2020, Houston, Texas.
-
WaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing
Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, and Wenyao Xu.
Proceedings of the EEE Symposium on Security and Privacy
(S&P 2020), May 18-20, 2020, San Francisco, CA.
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A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling
Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, and Lu Su.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
(IMWUT/UbiComp 2020), September 12-16, 2020, Cancún, México.
2019
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MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation
Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du and Wei Fan.
Proceedings of the 2019 World Wide Web Conference
(WWW 2019), May 13-17, 2019, San Francisco, CA. (Acceptance rate: 72/361=20%)
[Paper]
-
Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors
Fenglong Ma*, Shiran Zhong*, Jing Gao and Ling Bian.
Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
(ACM-BCB 2019), Sep 7-10, 2019, Niagara Falls, NY. (Acceptance rate: 41/157=26.1%)
[Paper] (* indicates equal contribution)
-
Multi-grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma and Philip Yu.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
(ACL 2019), July 28th to August 2nd, 2019, Florence, Italy.
[Paper]
-
Metric Learning on Healthcare Data with Incomplete Modalities
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao and Aidong Zhang.
Proceedings of the 28th International Joint Conference on Artificial Intelligence
(IJCAI 2019), August 10-16 2019, Macao, China
[Paper]
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Optimize the Wisdom of the Crowd: Inference, Learning, and Teaching
Yao Zhou, Fenglong Ma, Jing Gao and Jingrui He.
Conference Tutorial at 2019 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2019), August 4-8, Anchorage, AK, 2019
[Website]
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Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks
Chi Lin, Yanhong Zhou, Fenglong Ma, Jing Deng, Lei Wang and Guowei Wu.
Proceedings of the IEEE Conference on Computer Communications
(INFOCOM 2019), 29 April - 2 May 2019, Paris, France. (Acceptance rate: 288/1464=19.7%)
[Paper]
-
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 and Lu Su.
Proceedings of the Twentieth International Symposium on Mobile Ad Hoc Networking and Computing
(MobiHoc 2019), July 2-5, 2019, Catania, Italy. (Acceptance rate: 37/156=23.7%)
[Paper]
-
Deep Hierarchical Knowledge Tracing
Tianqi Wang, Fenglong Ma and Jing Gao.
Proceedings of the Twelfth International Conference on Educational Data Mining
(EDM 2019), July 2-5, 2019, Montréal, Canada.
[Paper]
-
Online Federated Multitask Learning
Rui Li, Fenglong Ma, Wenjun Jiang and Jing Gao.
Proceedings of the 2019 IEEE International Conference on Big Data
(IEEE Big Data 2019), December 9-12, 2019, Los Angeles, CA, USA.
[Paper]
-
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation
Tianqi Wang, Houping Xiao, Fenglong Ma and Jing Gao.
Proceedings of the 2019 IEEE International Conference on Big Data
(IEEE Big Data 2019), December 9-12, 2019, Los Angeles, CA, USA.
[Paper]
2018
-
Risk Prediction on Electronic Health Records with Prior Medical Knowledge
Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou and Aidong Zhang.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2018), London, United Kingdom, August 2018. (Acceptance rate: 107/983=10.9%)
[Paper][Code][Poster][Slides]
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KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare
Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou and Jing Gao.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management
(CIKM 2018), October 22-26, 2018, 'Lingotto', Turin, Italy. (Acceptance rate: 147/862=17%)
[Paper][Slides]
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A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou and Jing Gao.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2018), Dec 3-6, 2018, Madrid, Spain, accepted. (Acceptance rate: 105/534=19.6%)
[Paper]
-
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 and Jing Gao.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2018), London, United Kingdom, August 2018. (Acceptance rate: 112/496=22.6%)
[Paper][Code]
-
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 and Data Mining
(KDD 2018), London, United Kingdom, August 2018. (Acceptance rate: 107/983=10.9%)
[Paper]
-
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks
Ye Yuan, Fenglong Ma, Guangxu Xun, Yaqing Wang, Kebin Jia, Lu Su and Aidong Zhang.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2018), Dec 3-6, 2018, Madrid, Spain, accepted. (Acceptance rate: 105/534=19.6%)
[Paper]
-
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data
Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su and Aidong Zhang.
Proceedings of the 18th IEEE International Conference on Data Mining
(ICDM 2018), Singapore, November 17-20, 2018, accepted. (Acceptance rate: 8.86%)
[Paper]
-
Multi-Task Sparse Metric Learning for Monitoring Patient Similarity Progression
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai and Aidong Zhang.
Proceedings of the 18th IEEE International Conference on Data Mining
(ICDM 2018), Singapore, November 17-20, 2018, accepted. (Acceptance rate: 8.86%)
[Paper]
-
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors
Houping Xiao, Fei Wang, Fenglong Ma and Jing Gao.
Proceedings of the 18th IEEE International Conference on Data Mining
(ICDM 2018), Singapore, November 17-20, 2018, accepted. (Acceptance rate: 20%)
[Paper]
-
Towards Environment Independent Device Free Human Activity Recognition
Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Xin Ma, Chen Song, Ye Yuan, Hongfei Xue, Dimitrios Koutsonikolas, Wenyao Xuan and Lu Su.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
(MobiCom 2018), New Delhi, India, Oct 29 - Nov 2, 2018. (Acceptance rate: 42/187=22%)
[Paper]
-
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 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
(ASONAM 2018), Barcelona, Spain, August, 2018. (Acceptance rate: 15%)
[Paper]
-
Towards Confidence Interval Estimation in Truth Discovery
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng and Aidong Zhang.
IEEE Transactions on Knowledge and Data Engineering
(TKDE), 2018, accepted.
[Paper]
-
Deep Patient Similarity Learning for Personalized Healthcare
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Jing Gao, Aidong Zhang.
IEEE Transactions on NanoBioscience
(IEEE T NANOBIOSCI), 2018, accepted.
[Paper]
-
WiAU: An Accurate Device-free Authentication System with ResNet
Chi Lin, Jiaye Hu, Yu Sun, Fenglong Ma, Lei Wang, Guowei Wu.
Proceedings of IEEE International Conference on Sensing, Communication and Networking
(SECON 2018), Hong Kong, China, June 2018. (Acceptance rate: 49/211=23.2%)
[Paper]
-
Online Truth Discovery on Time Series Data
Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang.
Proceedings of the SIAM International Conference on Data Mining
(SDM 2018), San Diego, CA, USA, May 2018. (Acceptance rate: 86/374=23%)
[Paper]
-
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 International Conference on Biomedical and Health Informatics
(BHI 2018), Las Vegas, Nevada, USA, March 2018.
[Paper]
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
(KDD 2017), Halifax, NS, Canada, August 2017. (Acceptance rate: 85/396=21.5%)
[Paper][Code][Video][Bib]
-
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
(KDD 2017), Halifax, NS, Canada, August 2017. (Acceptance rate: 131/784=16.7%)
[Paper][Video][Bib]
- Long-Term Memory Networks for Question Answering
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao.
Proceedings of IJCAI Workshop on Semantic Machine Learning (SML 2017)
(SML 2017), Melbourne, Australia, August 2017.
[Paper][Data]
-
Personalized Disease Prediction Using A CNN-Based Similarity Learning Method
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Jing Gao, Aidong Zhang.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2017), Kansas City, MO, USA, November 2017. (Acceptance rate: 79/414=19.0%)
[Paper]
-
Discovering Truths from Distributed Data
Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao.
Proceedings of the 17th IEEE International Conference on Data Mining
(ICDM 2017), New Orleans, USA, November 2017. (Acceptance rate: 72/778=9.25%)
[Paper]
-
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 AMIA 2017 Annual Symposium
(AMIA 2017), Washington DC, USA, November 2017.
[Paper]
-
Discovering Social Spammers from Multiple Views
Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang.
Neurocomputing, 2017, pp. 49-57.
[Paper]
[Code]
[Bib]
2016
-
Topic Discovery for Short Texts Using Word Embeddings
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang.
Proceedings of the 16th IEEE International Conference on Data Mining
(ICDM 2016), Barcelona, Spain, December 2016. (Acceptance rate: 178/904=19.6%)
[Paper]
[Bib]
-
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
(KDD 2016), San Francisco, CA, USA, August 2016. (Acceptance rate: 142/784=18.1%)
[Paper]
[Bib]
-
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
(CIKM 2016), Indianapolis, IN, USA, October 2016. (Acceptance rate: 165/935=17.6%)
[Paper]
[Bib]
-
Crowdsourcing High Quality Labels with a Tight Budget
Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher Quinn.
Proceedings of the 9th ACM International Conference on Web Search and Data Mining
(WSDM 2016), San Francisco, CA, USA, February 2016. (Acceptance rate: 67/368=18.2%)
[Paper]
[Slides]
[Bib]
2015 and before
-
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation
Fenglong Ma, Yaliang Li, Qi Li, Minghui Qui, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han.
Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(KDD 2015), Sydney, Australia, August 2015. (Acceptance rate: 159/819=19.4%)
[Paper]
[Poster]
[Slides]
[Bib]
-
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data
Fenglong Ma, Jing Gao.
Proceedings of the 15th IEEE International Conference on Data Mining Workshop
(ICDMW 2015), Atlantic City, NJ, USA, November 2015.
[Paper]
[Bib]
-
Topical Influential User Analysis with Relationship Strength Estimation in Twitter
Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang.
Proceedings of the 14th IEEE International Conference on Data Mining Workshop
(ICDMW 2014), Shenzhen, China, December 2014.
[Paper]
[Bib]