Research on congestion perception and control of network on chip. - Xinchao Gu; Hua Cai; Kai Cui; Ningbo Huang; Yong Yang (CISP-BMEI, 2016)

Research on network fault tolerance method on chip. - Xinchao Gu; Hua Cai; Yao Zhang; Ningbo Huang; Yong Yang (CISP-BMEI, 2016)

Single-Image Super-Resolution for Remote Sensing Data Using Deep Residual-Learning Neural Network. - Ningbo Huang; Yong Yang; Junjie Liu; Xinchao Gu; Hua Cai (ICONIP (2), 2017)

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 (ICDM, 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)

MAA-PTG: multimodal aspect-aware product title generation. - Mengli Zhang; Gang Zhou; Wanting Yu; Ningbo Huang; Wenfen Liu (J. Intell. Inf. Syst., 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)

Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection. - Yepeng Sun; Jicang Lu; Ling Wang; Shunhang Li; Ningbo Huang (CIKM, 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 (QRS, 2023)

AsU-OSum: Aspect-augmented unsupervised opinion summarization. - Mengli Zhang; Gang Zhou; Ningbo Huang; Peng He; Wanting Yu; Wenfen Liu (Inf. Process. Manag., 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., 2023)

Social Media User Geolocation Based on Large Language Models. - Meng Zhang; Xiangyang Luo; Ningbo Huang (DSPP (1), 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 005; Ningbo Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

Pre-trained Semantic Interaction based Inductive Graph Neural Networks for Text Classification. - Shiyu Wang; Gang Zhou; Jicang Lu; Jing Chen; Ningbo Huang (COLING, 2025)

Social media user geolocation based on geographically compact subgraphs. - Meng Zhang 044; Xiangyang Luo; Ningbo Huang; Ruixiang Li (Intell. Data Anal., 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)

Twitter User Geolocation Based on Location Feature Enhancement. - Meng Zhang 044; Xiangyang Luo; Ningbo Huang; Yimin Liu; Shaoyong Du (ACM Trans. Web, 2025)