Academic Qualification

• Ph.D. in Computer Science and Technology, Jiangsu University, Zhenjiang, China.

• Master in Huazhong University of Science & Technology, Wuhan, China.

• Bachelor in Hunan Normal University, Changsha, China.

Teaching Area

• Data Mining

• Computer Programming

• Socket Programming

Research Area

• Computer Vision

• Artificial Intelligence

• Large Language Model

• Affective Computing: Facial/Micro-expression recognition

• Visual Question Answer

• Reinforcement Learning

Working Experience

• Aug. 2022 ~ present, Assistant Professor, Faculty of Innovation Engineering, MUST

• Sep. 2014 ~ Jul.2018, Instructor, Zhenjiang Vocational Technical College, China

• Apr. 2011 ~ Aug.2013, Senior Software Engineer, MediaTek (Wuhan) Co., LTD, China

Selected Academic Publications (* is the corresponding author)

1. Quanxing Xu, Ling Zhou*, Feifei Zhang, Jinyu Tian, and Rubing Huang, “OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description,” in Proceedings of the 2026 AAAI Conference on Artificial Intelligence (AAAI’26), pp. 11370-11378, 2026.

2. Quanxing Xu, Ling Zhou*, Xian Zhong, Feifei Zhang, Jinyu Tian, and Rubing Huang, “Refined generation-based framework for consistent and reliable visual question answering,” Pattern Recognition (PR), pp. 113421, 2026.

3. Quanxing Xu, Ling Zhou*, Xian Zhong, Feifei Zhang, Jinyu Tian, Xiaohan Yu, and Rubing Huang, “ETV-Attack: Efficient Text-Driven Visual-Variable Adversarial Attacks on Visual Question Answering with Pre-trained Language Models,” Pattern Recognition (PR), pp. 113202, 2026.

4. Quanxing Xu, Ling Zhou*, Xian Zhong, Feifei Zhang, and Rubing Huang, “Concise Object-word Visuals as Effective Cues for Visual Question Answering,” ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), vol. 22, no. 5, pp. 150:1-150:23, 2026.

5. Jian Li, Quanxing Xu, Ling Zhou*, Feifei Zhang, and Rubing Huang, “PLMAS: Adaptive Sample Selection for Prompting LLMs in Knowledge-Based Visual Question Answering,” ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), vol. 22, no. 3, pp. 87:1-87:21, 2026.

6. Ling Zhou, Mingpei Wang, Xiaohua Huang, Wenming Zheng, Qirong Mao, and Guoying Zhao, “An Empirical Study of Super-Resolution on Low-Resolution Micro-Expression Recognition,” IEEE Transactions on Affective Computing (IEEE TAFFC), vol. 16, no. 3, pp. 2215-2232, 2025.

7. Quanxing Xu, Jian Li, Yuhao Tian, Ling Zhou*, Feifei Zhang, and Rubing Huang, “Diff-ZsVQA: Zero-shot Visual Question Answering with Frozen Large Language Models Using Diffusion Model,” Expert Systems with Applications (ESWA), vol. 275, pp. 126951, 2025.

8. Su-Jing Wang, Yu-Han Miao, Jingting Li, Ling Zhou, Zizhao Dong, Mengyi Sun, and Xiaolan Fu, “Micro-Expression Key Frame Inference,” IEEE Transactions on Affective Computing (IEEE TAFFC), vol. 16, no. 3, pp. 1955-1969, 2025.

9. Ling Zhou, Qirong Mao, and Ming Dong, “Objective Class-Based Micro-Expression Recognition Through Simultaneous Action Unit Detection and Feature Aggregation,” Tsinghua Science and Technology (TST), vol. 30, no. 5, pp. 2114-2132, 2025.

10. Mingpei Wang, Ling Zhou*, Xiaohua Huang, and Wenming Zheng, “Towards Federated Learning Driving Technology for Privacy-Preserving Micro-Expression Recognition,” Tsinghua Science and Technology (TST), vol. 30, no. 5, pp. 2169-2183, 2025.

11. Qirong Mao, Ling Zhou*, Wenming Zheng, Xiuyan Shao, and Xiaohua Huang, “Objective Class-Based Micro-Expression Recognition Under Partial Occlusion Via Region-Inspired Relation Reasoning Network,” IEEE Transactions on Affective Computing (IEEE TAFFC), vol. 13, no. 4, pp. 1998-2016, 2022.

12. Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, and Zhihong Zhang, “Feature refinement: An Expression-specific Feature Learning and Fusion Method for Micro-Expression Recognition,” Pattern Recognition (PR), vol. 122, pp. 108275, 2022.

13. Lijian Gao, Ling Zhou, Qirong Mao, and Ming Dong, “Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection,” in Proceedings of the 2022 ACM International Conference on Multimedia (MM’22), pp. 1779-1787, 2022.

14. Ling Zhou, Xiuyan Shao, and Qirong Mao, “A survey of micro-expression recognition,” Image and Vision Computing (IVC), vol. 105, pp. 104043, 2021.

15. Ling Zhou, Qirong Mao, and Luoyang Xue, “Dual-Inception Network for Cross-Database Micro-Expression Recognition,” in Proceedings of the 2019 IEEE International Conference on Automatic Face & Gesture Recognition (FG’19), pp. 1-5, 2019.

16. Ling Zhou, Qirong Mao, and Luoyang Xue, “Cross-Database Micro-Expression Recognition: A Style and Transfer Approach,” in Proceedings of the 2019 IEEE International Conference on Multimedia & Expo (ICME’19), pp. 102-107, 2019.