Jessica Lam

According to our database, Jessica Lam authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions.

Yingqiang Gao, Jhony Prada, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser

CoRR, 2024

Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts.

Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, Richard H. R. Hahnloser

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information.

Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser

CoRR, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine

CoRR, 2023

Towards Finding the Missing Pieces to Teach Secure Programming Skills to Students.

Majed Almansoori, Jessica Lam, Elias Fang, Adalbert Gerald Soosai Raj, Rahul Chatterjee

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators.

Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information.

Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model.

Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Wide-Range Motion Recognition Through Insole Sensor Using Multi-Walled Carbon Nanotubes and Polydimethylsiloxane Composites.

Jae Sang Heo, Rahim Soleymanpour, Jessica Lam, Daniel Goldberg, Edward Large, Sung Kyu Park, Insoo Kim

IEEE J. Biomed. Health Informatics, 2022

EEGNN: Edge Enhanced Graph Neural Networks.

Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam

CoRR, 2022

Identifying Gaps in the Secure Programming Knowledge and Skills of Students.

Jessica Lam, Elias Fang, Majed Almansoori, Rahul Chatterjee, Adalbert Gerald Soosai Raj

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Do Discourse Indicators Reflect the Main Arguments in Scientific Papers?

Yingqiang Gao, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser

Proceedings of the 9th Workshop on Argument Mining, 2022

CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models.

Jones Yirui Liu, Xinghao Qiao, Jessica Lam

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Textbook Underflow: Insufficient Security Discussions in Textbooks Used for Computer Systems Courses.

Majed Almansoori, Jessica Lam, Elias Fang, Adalbert Gerald Soosai Raj, Rahul Chatterjee

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2020

How Secure are our Computer Systems Courses?

Majed Almansoori, Jessica Lam, Elias Fang, Kieran Mulligan, Adalbert Gerald Soosai Raj, Rahul Chatterjee

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020