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2020 – today
- 2024
[c13]Adam Ishay, Zhun Yang, Joohyung Lee, Ilgu Kang, Dongjae Lim:
Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question Answering. WACV 2024: 6684-6693- [i7]Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez
, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - 2023
- [c12]Zhun Yang, Adam Ishay, Joohyung Lee:
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text. ACL (Findings) 2023: 5186-5219 - [c11]Zhun Yang, Adam Ishay, Joohyung Lee:
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer. ICLR 2023 - [c10]Adam Ishay, Zhun Yang, Joohyung Lee:
Leveraging Large Language Models to Generate Answer Set Programs. KR 2023: 374-383 - [i6]Zhun Yang, Joohyung Lee, Chiyoun Park:
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators. CoRR abs/2307.04347 (2023) - [i5]Zhun Yang, Adam Ishay, Joohyung Lee:
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer. CoRR abs/2307.04895 (2023) - [i4]Zhun Yang, Adam Ishay, Joohyung Lee:
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text. CoRR abs/2307.07696 (2023) - [i3]Adam Ishay, Zhun Yang, Joohyung Lee:
Leveraging Large Language Models to Generate Answer Set Programs. CoRR abs/2307.07699 (2023) - [i2]Zhun Yang, Adam Ishay, Joohyung Lee:
NeurASP: Embracing Neural Networks into Answer Set Programming. CoRR abs/2307.07700 (2023) - 2022
- [j2]Zhen Zeng, Zhun Yang, Dijiang Huang, Chun-Jen Chung:
LICALITY - Likelihood and Criticality: Vulnerability Risk Prioritization Through Logical Reasoning and Deep Learning. IEEE Trans. Netw. Serv. Manag. 19(2): 1746-1760 (2022) - [c9]Zhun Yang, Joohyung Lee, Chiyoun Park:
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators. ICML 2022: 25096-25122 - [c8]Joohyung Lee, Zhun Yang:
Statistical Relational Extension of Answer Set Programming. RW 2022: 132-160 - 2020
- [c7]Zhun Yang, Adam Ishay, Joohyung Lee:
NeurASP: Embracing Neural Networks into Answer Set Programming. IJCAI 2020: 1755-1762 - [c6]Zhun Yang:
Extending Answer Set Programs with Neural Networks. ICLP Technical Communications 2020: 313-322
2010 – 2019
- 2018
- [j1]Joohyung Lee, Zhun Yang:
Translating LPOD and CR-Prolog2 into standard answer set programs. Theory Pract. Log. Program. 18(3-4): 589-606 (2018) - [c5]Zhun Yang:
Translating P-log, LPMLN, LPOD, and CR-Prolog2 into Standard Answer Set Programs. ICLP (Technical Communications) 2018: 17:1-17:11 - [c4]Joohyung Lee, Zhun Yang:
Computing Logic Programs with Ordered Disjunction Using asprin. KR 2018: 57-61 - [i1]Joohyung Lee, Zhun Yang:
Translating LPOD and CR-Prolog2 into Standard Answer Set Programs. CoRR abs/1805.00643 (2018) - 2017
- [c3]Joohyung Lee, Zhun Yang:
LPMLN, Weak Constraints, and P-log. AAAI 2017: 1170-1177 - 2016
- [c2]Shaoqin Wang, Qin Ma, Zhun Yang, Xuerong Liu:
Study on coupling vibration of passenger-vehicle-bridge system and influence on the ride comfort. ICMLC 2016: 933-938 - 2015
- [c1]Hongjun Dai, Chao Yan, Bin Gong, Zhun Yang, Tianzhou Chen:
Exploring Predictable Redundant Instruction Parallelism in Fault Tolerant Microprocessors. HPCC/CSS/ICESS 2015: 324-329
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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