Associate Professor | ||
Department of Computer Science and Engineering | ||
University at Buffalo | ||
350 Davis Hall, Buffalo, NY 14260 | ||
Phone: (716)645-1586 | ||
Email: jing@buffalo.edu |
AAAI20 |
Weak Supervision for Fake News Detection via Reinforcement Learning. AAAI Conference on Artificial Intelligence, New York, NY, February 2020, to appear. |
KDD18 |
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, August 2018, 1910-1919. [Paper in PDF] |
KDD18 |
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, August 2018, 849-857. [Paper in PDF] |
KDD17 |
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Canada, August 2017, 1903-1911. [Paper in PDF] |
KDD16 |
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, August 2016, 1935-1944. [Paper in PDF] |
Survey |
A Survey on Truth Discovery. SIGKDD Explorations, 17(12): 1-16, December 2015. [Paper] |
VLDB15 |
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. International Conference on Very Large Data Bases, Kohala Coast, HI, August 2015, 8(4): 425-436. [Paper in PDF] |
KDD15 |
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia, August 2015, 675-684. Acceptance Rate: 159/819 = 19.4%. [Paper in PDF] |
SIGMOD14 |
Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation. ACM SIGMOD International Conference on Management of Data, Snowbird, UT, June 2014, 1187-1198. [Paper in PDF] [Code&Data in ZIP] |