Ling Zhou

According to our database, Ling Zhou authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

PLMAS: Adaptive Sample Selection for Prompting LLMs in Knowledge-Based Visual Question Answering.

Jian Li, Quanxing Xu, Ling Zhou, Feifei Zhang, Rubing Huang

ACM Trans. Multim. Comput. Commun. Appl., March, 2026

Enhancing Image Captioning through Bridging Image-Text Gap and Reducing Hallucinations.

Zhihao Wang, Feifei Zhang, Lingkai Ran, Caixia Song, Ling Zhou

ACM Trans. Multim. Comput. Commun. Appl., January, 2026

A Novel Vision-Based Approach to Test Sequence Generation for Mobile GUI Testing.

Chenhui Cui, Yinming Huang, Rubing Huang, Ling Zhou, Rongcun Wang, Tao Li

IEEE Trans. Reliab., 2026

Refined generation-based framework for consistent and reliable visual question answering.

Quanxing Xu, Ling Zhou, Xian Zhong, Feifei Zhang, Jinyu Tian, Xiaohan Yu, Rubing Huang

Pattern Recognit., 2026

ETV-Attack: Efficient text-driven visual-variable adversarial attacks on visual question answering with pre-trained language models.

Quanxing Xu, Ling Zhou, Xian Zhong, Feifei Zhang, Jinyu Tian, Xiaohan Yu, Rubing Huang

Pattern Recognit., 2026

Short-term electricity load forecasting with multi-frequency reconstruction diffusion.

Qi Dong, Rubing Huang, Ling Zhou, Dave Towey, Jinyu Tian, Jianzhou Wang

Inf. Sci., 2026

Predicting biomolecular interactions via a dual-stream graph neural network with motif constraint and diffusion-based regularization.

Danyu Li, Rubing Huang, Ling Zhou, Jinyu Tian, Shikai Guo, Bin Zou

Comput. Biol. Chem., 2026

OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description.

Quanxing Xu, Ling Zhou, Feifei Zhang, Rubing Huang, Jinyu Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning.

Quanxing Xu, Ling Zhou, Xian Zhong, Feifei Zhang, Rubing Huang, Chia-Wen Lin

CoRR, April, 2025

An Empirical Study of Super-Resolution on Low-Resolution Micro-Expression Recognition.

Ling Zhou, Mingpei Wang, Xiaohua Huang, Wenming Zheng, Qirong Mao, Guoying Zhao

IEEE Trans. Affect. Comput., 2025

Micro-Expression Key Frame Inference.

Su-Jing Wang, Yu-Han Miao, Jingting Li, Ling Zhou, Zizhao Dong, Mengyi Sun, Xiaolan Fu

IEEE Trans. Affect. Comput., 2025

Diff-ZsVQA: Zero-shot Visual Question Answering with Frozen Large Language Models Using Diffusion Model.

Quanxing Xu, Jian Li, Yuhao Tian, Ling Zhou, Feifei Zhang, Rubing Huang

Expert Syst. Appl., 2025

Short-Term Electricity-Load Forecasting by deep learning: A comprehensive survey.

Qi Dong, Rubing Huang, Chenhui Cui, Dave Towey, Ling Zhou, Jinyu Tian, Jianzhou Wang

Eng. Appl. Artif. Intell., 2025

Ribonucleic-Acid protein interaction prediction based on deep learning: A comprehensive survey.

Danyu Li, Rubing Huang, Chenhui Cui, Dave Towey, Ling Zhou, Jinyu Tian, Bin Zou

Appl. Soft Comput., 2025

2022

Objective Class-Based Micro-Expression Recognition Under Partial Occlusion Via Region-Inspired Relation Reasoning Network.

Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang

IEEE Trans. Affect. Comput., 2022

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition.

Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang

Pattern Recognit., 2022

2021

Region attention and graph embedding network for occlusion objective class-based micro-expression recognition.

Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang

CoRR, 2021