Authors with underline are my supervised students, and * indicates equal contribution.

2024

1. Recent Advances in Predictive Modeling with Electronic Health Records[Paper]
   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%)
2. 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%)
3. 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%)
4. 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%)
5. 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)
6. 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.
7. 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.
8. 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%)
9. 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%)
10. 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%)
11. 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%)
12. 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%)
13. 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%)
14. 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%)
15. 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

16. 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)
17. 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.
18. 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)
19. Federated Learning for Rare Disease Detection: A Survey
    Jiaqi Wang and Fenglong Ma
    Rare Disease and Orphan Drugs Journal, accepted.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. Multimodal Federated Learning: A Survey
    Liwei Che, Jiaqi Wang, Yao Zhou and Fenglong Ma
    MDPI Sensors (Sensors), accepted.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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)
35. 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%)
36. 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)
37. 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%)
38. 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%)
39. 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%)
40. 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

41. 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%)
42. 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%)
43. 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%)
44. 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%)
45. 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%)
46. 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%)
47. 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%)
48. 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.
49. 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.
50. 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.
51. 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%)
52. 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%)
53. 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%)
54. 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.
55. 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%)
56. 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)
57. 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%)
58. 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%)
59. 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

60. 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%)
61. 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.
62. 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%)
63. 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]
64. 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]
65. 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]
66. 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)
67. 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)
68. 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)
69. 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)
70. 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)
71. 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%)
72. 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]
73. 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%)
74. 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

75. 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%)
76. 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%)
77. 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%)
78. 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%)
79. 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%)
80. 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%)
81. 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.
82. 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.
83. 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%)
84. 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.
85. 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)
86. 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.
87. 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.
88. 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.
89. 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

90. 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]
91. 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)
92. 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]
93. 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]
94. 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]
95. 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]
96. 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]
97. 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]
98. 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]
99. 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

100. 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]
101. 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]
102. 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]
103. 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]
104. 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]
105. 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]
106. 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]
107. 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]
108. 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]
109. 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]
110. 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]
111. 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]
112. 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]
113. 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]
114. 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]
115. 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

116. 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]
117. 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]
118. 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]
119. 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]
120. 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]
121. 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]
122. 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

123. 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]
124. 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]
125. 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]
126. 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

127. 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]
128. 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]
129. 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]