What I am working on

Publications

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


    2022

  1. 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)

  2. 2021

  3. Knowledge-Guided Paraphrase Identification
    Haoyu Wang, Fenglong Ma, Yaqing Wang and Jing Gao.
    Findings of the 2021 Conference on Empirical Methods in Natural Language Processingt (Findings of EMNLP 2021), 7th-11th November 2021, Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic, accepted.
  4. 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%)
  5. 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. (Accepted)
  6. 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]
  7. 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]
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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%)
  14. 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]
  15. 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%)
  16. 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%)

  17. 2020

  18. 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%)
  19. 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%)
  20. 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%)
  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%)
  22. 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%)
  23. 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%)
  24. 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.
  25. 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.
  26. 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%)
  27. 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.
  28. 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)
  29. 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.
  30. 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.
  31. 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.
  32. 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.

  33. 2019

  34. 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]
  35. 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)
  36. 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]
  37. 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]
  38. 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]
  39. 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]
  40. 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]
  41. 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]
  42. 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]
  43. 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]

  44. 2018

  45. 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]
  46. 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]
  47. 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]
  48. 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]
  49. 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]
  50. 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]
  51. 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]
  52. 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]
  53. 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]
  54. 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]
  55. 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]
  56. 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]
  57. 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]
  58. 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]
  59. 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]
  60. 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]

  61. 2017

  62. 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]
  63. 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]
  64. 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]
  65. 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]
  66. 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]
  67. 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]
  68. 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]

  69. 2016

  70. 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]
  71. 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]
  72. 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]
  73. 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]

  74. 2015 and before

  75. 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]
  76. 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]
  77. 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]