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Rongzhen Ye
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2020 – today
- 2024
- [c8]Hai Wan, Pingjia Liang, Jianfeng Du, Weilin Luo, Rongzhen Ye, Bo Peng:
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding. AAAI 2024: 9071-9079 - [c7]Weilin Luo
, Weiyuan Fang
ITG: Trace Generation via Iterative Interaction between LLM Query and Trace Checking. NIER@ICSE 2024: 11-15 - 2023
- [c6]Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang:
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. AAAI 2023: 4809-4817 - [c5]Weilin Luo, Yuhang Zheng, Rongzhen Ye, Hai Wan, Jianfeng Du, Pingjia Liang, Polong Chen:
SAT-Verifiable LTL Satisfiability Checking via Graph Representation Learning. ASE 2023: 1761-1765 - [c4]Bo Peng, Pingjia Liang, Tingchen Han, Weilin Luo, Jianfeng Du, Hai Wan, Rongzhen Ye, Yuhang Zheng:
PURLTL: Mining LTL Specification from Imperfect Traces in Testing. ASE 2023: 1766-1770 - 2022
- [c3]Weilin Luo, Rongzhen Ye, Hai Wan, Shaowei Cai, Biqing Fang, Delong Zhang:
Improving Local Search Algorithms via Probabilistic Configuration Checking. AAAI 2022: 10283-10290 - [c2]Weilin Luo, Hai Wan, Jianfeng Du, Xiaoda Li, Yuze Fu, Rongzhen Ye, Delong Zhang:
Teaching LTLf Satisfiability Checking to Neural Networks. IJCAI 2022: 3292-3298 - [i1]Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang:
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. CoRR abs/2212.00373 (2022) - 2021
- [c1]Hai Wan, Haicheng Chen, Jianfeng Du, Weilin Luo, Rongzhen Ye
A DQN-based Approach to Finding Precise Evidences for Fact Verification. ACL/IJCNLP (1) 2021: 1030-1039
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