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ORCIDJessica Lam
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2020 – today
- 2024
[c10]Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, Richard H. R. Hahnloser:
Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts. EACL (2) 2024: 151-160- [i4]Yingqiang Gao, Jhony Prada, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser:
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions. CoRR abs/2408.14623 (2024) - 2023
- [c9]Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam:
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model. AISTATS 2023: 2132-2146 - [c8]Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser
:
GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. EMNLP 2023: 6093-6108 - [c7]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:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 2023 - [c6]Majed Almansoori, Jessica Lam, Elias Fang, Adalbert Gerald Soosai Raj, Rahul Chatterjee:
Towards Finding the Missing Pieces to Teach Secure Programming Skills to Students. SIGCSE (1) 2023: 973-979 - [i3]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:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR abs/2305.03270 (2023) - [i2]Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser:
Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. CoRR abs/2305.11553 (2023) - 2022
- [j1]Jae Sang Heo, Rahim Soleymanpour, Jessica Lam, Daniel Goldberg, Edward Large, Sung Kyu Park, Insoo Kim:
Wide-Range Motion Recognition Through Insole Sensor Using Multi-Walled Carbon Nanotubes and Polydimethylsiloxane Composites. IEEE J. Biomed. Health Informatics 26(2): 581-588 (2022) - [c5]Jones Yirui Liu, Xinghao Qiao, Jessica Lam:
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models. AISTATS 2022: 3647-3662 - [c4]Yingqiang Gao, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser:
Do Discourse Indicators Reflect the Main Arguments in Scientific Papers? ArgMining@COLING 2022: 34-50 - [c3]Jessica Lam, Elias Fang, Majed Almansoori, Rahul Chatterjee, Adalbert Gerald Soosai Raj:
Identifying Gaps in the Secure Programming Knowledge and Skills of Students. SIGCSE (1) 2022: 703-709 - [i1]Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam:
EEGNN: Edge Enhanced Graph Neural Networks. CoRR abs/2208.06322 (2022) - 2021
- [c2]Majed Almansoori, Jessica Lam, Elias Fang, Adalbert Gerald Soosai Raj, Rahul Chatterjee:
Textbook Underflow: Insufficient Security Discussions in Textbooks Used for Computer Systems Courses. SIGCSE 2021: 1212-1218 - 2020
- [c1]Majed Almansoori, Jessica Lam, Elias Fang, Kieran Mulligan, Adalbert Gerald Soosai Raj, Rahul Chatterjee:
How Secure are our Computer Systems Courses? ICER 2020: 271-281
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