Ningbo Huang

According to our database, Ningbo Huang authored at least 25 papers between 2016 and 2026.

Collaborative distances:

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

2026

UMLGA: unsupervised graph meta-learning via local subgraph augmentation.

Ningbo Huang, Gang Zhou, Meng Zhang, Yi Xia, Shunhang Li

Appl. Intell., January, 2026

Taming Non-Stationary Knowledge Growth: Dynamic Global Memory Framework for Lifelong Knowledge Graph Embedding.

Ling Wang, Yan Liu, Jicang Lu, Xiaoyu Guo, Zhipeng Li, Ningbo Huang

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Task-Aware Text Graph Structure Learning for Semi-Supervised Text Classification.

Shiyu Wang, Gang Zhou, Jicang Lu, Ningbo Huang, Qiankun Pi

Proceedings of the Database Systems for Advanced Applications, 2026

Context-aware Graph Meta-learning.

Ningbo Huang, Gang Zhou, Meng Zhang, Shunhang Li, Ling Wang, Shiyu Wang, Yi Xia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Relation as a Prior: A Novel Paradigm for LLM-based Document-level Relation Extraction.

Qiankun Pi, Yepeng Sun, Jicang Lu, Qinlong Fan, Ningbo Huang, Shiyu Wang

CoRR, November, 2025

How to Decide Like Human? A Commonsense-Aware Hierarchical Framework for Knowledge Graph Reasoning.

Yi Xia, Gang Zhou, Junyong Luo, Mingjing Lan, Ningbo Huang

IEEE Trans. Big Data, October, 2025

An applied study of multi-stage multi-attribute group decision-making based on intuitionistic fuzzy sets - selection of hydrogen energy projects in the context of "dual-carbon".

Tian Zhang, Jianwei Gao, Haoyu Liu, Qinliang Tan, Yaping Wang, Ningbo Huang

J. Oper. Res. Soc., October, 2025

Twitter User Geolocation Based on Location Feature Enhancement.

Meng Zhang, Xiangyang Luo, Ningbo Huang, Yimin Liu, Shaoyong Du

ACM Trans. Web, May, 2025

Event-level supervised contrastive learning with back-translation augmentation for event causality identification.

Shunhang Li, Gang Zhou, Jing Chen, Yepeng Sun, Ningbo Huang, Sisi Peng

Neurocomputing, 2025

Social media user geolocation based on geographically compact subgraphs.

Meng Zhang, Xiangyang Luo, Ningbo Huang, Ruixiang Li

Intell. Data Anal., 2025

Structural Denoising Contrastive Self-supervised Graph Meta-learning.

Ningbo Huang, Gang Zhou, Meng Zhang, Shiyu Wang, Shunhang Li

Proceedings of the Database Systems for Advanced Applications, 2025

Pre-trained Semantic Interaction based Inductive Graph Neural Networks for Text Classification.

Shiyu Wang, Gang Zhou, Jicang Lu, Jing Chen, Ningbo Huang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images.

Kuiliang Gao, Anzhu Yu, Xiong You, Wenyue Guo, Ke Li, Ningbo Huang

IEEE Trans. Geosci. Remote. Sens., 2024

Social Media User Geolocation Based on Large Language Models.

Meng Zhang, Xiangyang Luo, Ningbo Huang

Proceedings of the Data Security and Privacy Protection - Second International Conference, 2024

2023

GA-SCS: Graph-Augmented Source Code Summarization.

Mengli Zhang, Gang Zhou, Wanting Yu, Ningbo Huang, Wenfen Liu

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023

AsU-OSum: Aspect-augmented unsupervised opinion summarization.

Mengli Zhang, Gang Zhou, Ningbo Huang, Peng He, Wanting Yu, Wenfen Liu

Inf. Process. Manag., 2023

The Causal Reasoning Ability of Open Large Language Model: A Comprehensive and Exemplary Functional Testing.

Shunhang Li, Gang Zhou, Zhibo Li, Ji-Cang Lu, Ningbo Huang

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection.

Yepeng Sun, Jicang Lu, Ling Wang, Shunhang Li, Ningbo Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

FCSF-TABS: two-stage abstractive summarization with fact-aware reinforced content selection and fusion.

Mengli Zhang, Gang Zhou, Wanting Yu, Wenfen Liu, Ningbo Huang, Ze Yu

Neural Comput. Appl., 2022

MAA-PTG: multimodal aspect-aware product title generation.

Mengli Zhang, Gang Zhou, Wanting Yu, Ningbo Huang, Wenfen Liu

J. Intell. Inf. Syst., 2022

2021

Modelling the Latent Semantics of Diffusion Sources in Information Cascade Prediction.

Ningbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang, Ze Yu

Comput. Intell. Neurosci., 2021

MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction.

Ningbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang

Proceedings of the IEEE International Conference on Data Mining, 2021

2017

Single-Image Super-Resolution for Remote Sensing Data Using Deep Residual-Learning Neural Network.

Ningbo Huang, Yong Yang, Junjie Liu, Xinchao Gu, Hua Cai

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Research on network fault tolerance method on chip.

Xinchao Gu, Hua Cai, Yao Zhang, Ningbo Huang, Yong Yang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Research on congestion perception and control of network on chip.

Xinchao Gu, Hua Cai, Kai Cui, Ningbo Huang, Yong Yang

Proceedings of the 9th International Congress on Image and Signal Processing, 2016