Guanglin Niu

According to our database, Guanglin Niu authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical bi-directional conceptual interaction for text-video retrieval.

Wenpeng Han, Guanglin Niu, Mingliang Zhou, Xiaowei Zhang

Multim. Syst., December, 2024

A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion.

Guanglin Niu, Bo Li, Siling Feng

CoRR, 2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model.

Liqun Yang, Jian Yang, Chaoren Wei, Guanglin Niu, Ge Zhang, Yunli Wang, Linzheng Chai, Wanxu Xia, Hongcheng Guo, Shun Zhang, Jiaheng Liu, Yuwei Yin, Junran Peng, Jiaxin Ma, Liang Sun, Zhoujun Li

CoRR, 2024

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xinrun Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Guanglin Niu, Tongliang Li, Zhoujun Li

CoRR, 2024

CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-Driven Video Editing.

Guiwei Zhang, Tianyu Zhang, Guanglin Niu, Zichang Tan, Yalong Bai, Qing Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Logic and Commonsense-Guided Temporal Knowledge Graph Completion.

Guanglin Niu, Bo Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Joint semantics and data-driven path representation for knowledge graph reasoning.

Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu

Neurocomputing, 2022

Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

EngineKGI: Closed-Loop Knowledge Graph Inference.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu

CoRR, 2021

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings.

Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun

CoRR, 2021

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion.

Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Entity Concept-enhanced Few-shot Relation Extraction.

Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference.

Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu

CoRR, 2020

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li

CoRR, 2020

AutoETER: Automated Entity Type Representation with Relation-Aware Attention for Knowledge Graph Embedding.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Rule-Guided Compositional Representation Learning on Knowledge Graphs.

Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Real-time object tracking via self-adaptive appearance modeling.

Ming Xin, Jin Zheng, Bo Li, Guanglin Niu, Miaohui Zhang

Neurocomputing, 2019