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Pingjia Liang
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2020 – today
- 2024
- [c7]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 - [c6]Weilin Luo
, Pingjia Liang
Learning to Check LTL Satisfiability and to Generate Traces via Differentiable Trace Checking. ISSTA 2024: 996-1008 - 2023
- [c5]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 - [c4]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 - [c3]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
- [c2]Weilin Luo, Pingjia Liang, Jianfeng Du, Hai Wan, Bo Peng, Delong Zhang:
Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. AAAI 2022: 9849-9857 - [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)
2010 – 2019
- 2019
- [c1]Jiaming Zhao, Pingjia Liang, Weiming Liufu, Zhengping Fan:
Recent Developments in Content Delivery Network: A Survey. PAAP 2019: 98-106
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last updated on 2024-10-04 19:57 CEST by the dblp team
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