| 2024 | EACL | Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts. | Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, Richard H. R. Hahnloser |
| 2023 | AISTATS | EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model. | Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam |
| 2023 | EMNLP | GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. | Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser |
| 2023 | SIGCSE | Towards Finding the Missing Pieces to Teach Secure Programming Skills to Students. | Majed Almansoori, Jessica Lam, Elias Fang, Adalbert Gerald Soosai Raj, Rahul Chatterjee |
| 2022 | AISTATS | CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models. | Jones Yirui Liu, Xinghao Qiao, Jessica Lam |
| 2022 | SIGCSE | Identifying Gaps in the Secure Programming Knowledge and Skills of Students. | Jessica Lam, Elias Fang, Majed Almansoori, Rahul Chatterjee, Adalbert Gerald Soosai Raj |
| 2021 | SIGCSE | Textbook Underflow: Insufficient Security Discussions in Textbooks Used for Computer Systems Courses. | Majed Almansoori, Jessica Lam, Elias Fang, Adalbert Gerald Soosai Raj, Rahul Chatterjee |
| 2020 | ICER | How Secure are our Computer Systems Courses? | Majed Almansoori, Jessica Lam, Elias Fang, Kieran Mulligan, Adalbert Gerald Soosai Raj, Rahul Chatterjee |