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ORCIDJason Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Jason Liu 0001
![[0000-0001-8222-4013]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8222-4013")
(aka: Jason Xiaowen Liu 0001) — Florida International University, School of Computing and Information Sciences, Miami, FL, USA (and 3 more) - Jason Liu 0002 (aka: Jason David Liu) — University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- Jason Liu 0003 — Yale University, Department of Molecular Biophysics and Biochemistry, New Haven, CT, USA
- Jason Liu 0004 — University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
- Xinyu Liu 0014 (aka: Jason Xinyu Liu, Jason Liu 0014) — Brown University, Department of Computer Science, Providence, RI, USA (and 1 more)
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2020 – today
- 2024
[j5]Ziyang Li, Jiani Huang, Jason Liu, Mayur Naik:
Neurosymbolic Programming in Scallop: Principles and Practice. Found. Trends Program. Lang. 8(2): 118-249 (2024)- [c11]Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik:
Relational Programming with Foundational Models. AAAI 2024: 10635-10644 - [c10]Yuan Xing, Dongfang Hou, Jason Liu, Holly Yuan, Abhishek Verma, Wei Shi:
Deep Learning and Game Theory for AI-Enabled Human-Robot Collaboration System Design in Industry 4.0. CCWC 2024: 8-13 - [c9]Jason Liu, Wei Shi:
IoT and AI Applied in Engineering Education. ICMAI 2024: 109-114 - [i5]Jason Liu:
A novel interface for adversarial trivia question-writing. CoRR abs/2404.00011 (2024) - [i4]Aaditya Naik, Jason Liu, Claire Wang, Saikat Dutta, Mayur Naik, Eric Wong:
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning. CoRR abs/2410.03348 (2024) - 2023
- [c8]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. MDM 2023: 39-44 - [i3]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. CoRR abs/2305.00619 (2023) - 2022
- [c7]Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives:
Learning inverse folding from millions of predicted structures. ICML 2022: 8946-8970 - [i2]Jan Buzek, Junaid Hasan, Jason Liu, Michael Naehrig, Anthony Vigil:
Finding twin smooth integers by solving Pell equations. CoRR abs/2211.04315 (2022) - 2021
- [j4]Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus:
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021) - [j3]Jason Liu, Laxmikant V. Kalé:
Introduction to the Special Issue on PADS 2019. ACM Trans. Model. Comput. Simul. 31(2): 9e:1-9e:2 (2021) - [c6]Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives:
MSA Transformer. ICML 2021: 8844-8856 - [c5]Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alexander Rives:
Language models enable zero-shot prediction of the effects of mutations on protein function. NeurIPS 2021: 29287-29303 - 2020
- [j2]Qijia Shao, Amy Sniffen, Julien Blanchet, Megan E. Hillis, Xinyu Shi, Themistoklis K. Haris, Jason Liu, Jason Lamberton, Melissa Malzkuhn, Lorna C. Quandt, James Mahoney, David J. M. Kraemer, Xia Zhou, Devin J. Balkcom:
Teaching American Sign Language in Mixed Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 152:1-152:27 (2020) - [c4]Michael Pradel, Georgios Gousios, Jason Liu, Satish Chandra:
TypeWriter: neural type prediction with search-based validation. ESEC/SIGSOFT FSE 2020: 209-220
2010 – 2019
- 2019
- [c3]Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, Satish Chandra:
Neural query expansion for code search. MAPL@PLDI 2019: 29-37 - [e2]Dong (Kevin) Jin, Jason Liu:
Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2019, Chicago, IL, USA, June 3-5, 2019. ACM 2019, ISBN 978-1-4503-6723-3 [contents] - [i1]Michael Pradel, Georgios Gousios, Jason Liu, Satish Chandra:
TypeWriter: Neural Type Prediction with Search-based Validation. CoRR abs/1912.03768 (2019) - 2015
- [c2]Jason Liu, Robert C. Richardson, Rob Hewson, Shaun Whitehead:
Mechanical Design of Long Reach Super Thin Discrete Manipulator for Inspections in Fragile Historical Environments. TAROS 2015: 155-160 - 2013
- [j1]Robert C. Richardson, Shaun Whitehead, T. C. Ng, Zahi Hawass, Andrew Pickering, Stephen Rhodes, Ron Grieve, Adrian Hildred, Arjun Nagendran, Jason Liu, William Mayfield, Mehdi Tayoubi, Richard Breitner:
The "Djedi" Robot Exploration of the Southern Shaft of the Queen's Chamber in the Great Pyramid of Giza, Egypt. J. Field Robotics 30(3): 323-348 (2013)
2000 – 2009
- 2008
- [e1]Francesco Quaglia, Jason Liu:
22st International Workshop on Principles of Advanced and Distributed Simulation, PADS 2008, Roma, Italy, June 3-6, 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3159-5 [contents] - 2002
- [c1]Ming Wang, Eric Chang, Jason Liu:
300mm Full Automation Integration Test Methodology and Experience. ICRA 2002: 3613-3618
Coauthor Index
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