Syntax and domain aware model for unsupervised program translation

F Liu, J Li, L Zhang - 2023 IEEE/ACM 45th International …, 2023 - ieeexplore.ieee.org
There is growing interest in software migration as the development of software and society.
Manually migrating projects between languages is error-prone and expensive. In recent …

Deepinfer: Deep type inference from smart contract bytecode

K Zhao, Z Li, J Li, H Ye, X Luo, T Chen - … of the 31st ACM Joint European …, 2023 - dl.acm.org
Smart contracts play an increasingly important role in Ethereum platform. It provides various
functions implementing numerous services, whose bytecode runs on Ethereum Virtual …

Syntax-augmented multilingual BERT for cross-lingual transfer

WU Ahmad, H Li, KW Chang, Y Mehdad - arXiv preprint arXiv:2106.02134, 2021 - arxiv.org
In recent years, we have seen a colossal effort in pre-training multilingual text encoders
using large-scale corpora in many languages to facilitate cross-lingual transfer learning …

Dual gated graph attention networks with dynamic iterative training for cross-lingual entity alignment

Z Xie, R Zhu, K Zhao, J Liu, G Zhou… - ACM Transactions on …, 2021 - dl.acm.org
Cross-lingual entity alignment has attracted considerable attention in recent years. Past
studies using conventional approaches to match entities share the common problem of …

Graph4Web: A relation-aware graph attention network for web service classification

K Zhao, J Liu, Z Xu, X Liu, L Xue, Z Xie, Y Zhou… - Journal of Systems and …, 2022 - Elsevier
Software reuse is a popular way to utilize existing software components to ensure the quality
of newly developed software in service-oriented architecture. However, how to find a …

Leveraging weighted cross-graph attention for visual and semantic enhanced video captioning network

D Verma, A Haldar, T Dutta - Proceedings of the AAAI Conference on …, 2023 - ojs.aaai.org
Video captioning has become a broad and interesting research area. Attention-based
encoder-decoder methods are extensively used for caption generation. However, these …

Higher-order GNN with Local Inflation for entity alignment

J Chen, L Yang, Z Wang, M Gong - Knowledge-Based Systems, 2024 - Elsevier
In the age of massive data, the construction of knowledge graph has increasingly become a
forceful support for the downstream applications of artificial intelligence. However, the …

Improving entity alignment via attribute and external knowledge filtering

F Zhang, J Li, J Cheng - Applied Intelligence, 2023 - Springer
The goal of entity alignment is to find the equivalent entity pairs in different Knowledge
Graphs (KGs), which is a key step of KG fusion. Recent developments often take embedding …

Query Path Generation via Bidirectional Reasoning for Multihop Question Answering From Knowledge Bases

G Zhang, J Liu, G Zhou, Z Xie, X Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multihop question answering from knowledge bases (KBQA) is a hot research topic in
natural language processing. Recently, the graph neural network-based (GNN-based) …

Semi-supervised entity alignment via relation-based adaptive neighborhood matching

W Cai, W Ma, L Wei, Y Jiang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Many recent studies of Entity Alignment (EA) use Graph Neural Networks (GNNs) to
aggregate the neighborhood features of entities and achieve better performance. However …