Please join the event in the following [link (opens in new tab)].
| Speaker | Title |
Time (Pacific Standard Time / AM)
|
| Keynotes | ||
| Prof. Xiangliang Zhang (Notre Dame) (opens in new tab) | Characterizing the Attackability of Machine Learning Models against Evasion Attacks | 8:00 – 8:40 |
| Prof. Stephan Guennemann (TU Munich) (opens in new tab) | Adversarial Robustness of Graph Neural Networks | 8:40 – 9:20 |
| Prof. Matthew Lease (University of Texas at Austin) (opens in new tab) | Explainable Fact Checking with a Human-in-the-loop | 9:20 – 10:00 |
| Contributed Talks | ||
| Prof. Xi Zhang (BUPT) (opens in new tab) | Rumor detection on social media with multimodal information fusion | 10:00 – 10:15 |
| Yichuan Li (WPI) (opens in new tab) | Fact-Enhanced Synthetic News Generation (AAAI 2021) | 10:15 – 10:35 |
| Alex Braylan (UTA) (opens in new tab) | Modeling and Aggregation of Complex Annotations via Annotation Distances | 10:35 – 10:55 |
| Break | 10:55 – 11:00 | |
| Discussion Panel: Challenges in Fair Machine Learning
Panelists: Prof. Matthew Lease (opens in new tab)(University of Texas at Austin) (opens in new tab), Prof. Jing Gao (Purdue University) (opens in new tab) Host: Prof. Qi Li (Iowa State University) (opens in new tab) |
11:00 – 11:30 | |
| Workshop Papers | ||
| Xuan Wang, Vivian Hu, Xiangchen Song, Qi Li and Jiawei Han
(UIUC, IOWA) |
EvidenceMiner: Textual Evidence Mining in Scientific Literature (opens in new tab) | 11:30 – 11:45 |
| Tarik Arici, Kushal Kumar, Hayreddin Ceker, Anoop Saladi and Ismail Tutar
(Amazon) |
Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering (opens in new tab) | 11:45 – 12:00 |