1. Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, and Chunyan Miao. Hydra: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. The AAAI Conference on Artificial Intelligence (AAAI). 2021. [Code]
  2. Adam Noack, Isaac Ahern, Dejing Dou, and Boyang Li. An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness. Springer Nature Computer Science. 2020. [Code]
  3. Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, and Yanwei Fu. Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions. The IEEE Winter Conference on Applications of Computer Vision (WACV). 2021. [Supplemental Material] [Video] [Code & Data]
  4. Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, and Boyang Li. Understanding Actors and Evaluating Personae with Gaussian Embeddings. The 33rd AAAI Conference on Artificial Intelligence. 2019. [Code & Data]
  5. Pelin Dogan, Boyang Li, Leonid Sigal, Markus Gross. A Neural Multi-sequence Alignment TeCHnique (NeuMATCH). The Conference on Computer Vision and Pattern Recognition (CVPR). 2018. [Data]
  6. Boyang Li, Beth Cardier, Tong Wang and Florian Metze. Annotating High-Level Structures of Short Stories and Personal Anecdotes. The 11th Language Resources and Evaluation Conference (LREC). 2018. [Data] [Talk][Annotation Guidelines]
  7. Tong Wang, Ping Chen, and Boyang Li. Predicting the Quality of Short Narratives from Social Media. The 26th International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. 2017. [Code (reimplementation)] [Data]
  8. Boyang Li. Learning Knowledge to Support Domain-Independent Narrative Intelligence. School of Interactive Computing, Georgia Institute of Technology. Ph.D. Dissertation. 2015. [Data]