Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach. - Ognjen Rudovic; Meiru Zhang; Björn W. Schuller; Rosalind W. Picard (ICMI, 2019)

BioCaster in 2021: automatic disease outbreaks detection from global news media. - Zaiqiao Meng; Anya Okhmatovskaia; Maxime Polleri; Yannan Shen; Guido Powell; Zihao Fu; Iris Ganser; Meiru Zhang; Nicholas B. King; David L. Buckeridge; Nigel Collier (Bioinform., 2022)

COFFEE: A Contrastive Oracle-Free Framework for Event Extraction. - Meiru Zhang; Yixuan Su; Zaiqiao Meng; Zihao Fu; Nigel Collier (CoRR, 2023)

BAND: Biomedical Alert News Dataset. - Zihao Fu; Meiru Zhang; Zaiqiao Meng; Yannan Shen; Anya Okhmatovskaia; David L. Buckeridge; Nigel Collier (CoRR, 2023)

BAND: Biomedical Alert News Dataset. - Zihao Fu; Meiru Zhang; Zaiqiao Meng; Yannan Shen; David L. Buckeridge; Nigel Collier (AAAI, 2024)

Can We Instruct LLMs to Compensate for Position Bias? - Meiru Zhang; Zaiqiao Meng; Nigel Collier (EMNLP (Findings), 2024)

Attention Instruction: Amplifying Attention in the Middle via Prompting. - Meiru Zhang; Zaiqiao Meng; Nigel Collier (CoRR, 2024)

Design of a Head Position and Orientation Detection System Based on Improved Markerless Visual Tracking for Unrestrained Awake Mice. - Kui Wang; Yangyang Zhao; Meiru Zhang; Yuhang Qiu; Huajun Li; Tianhao Zhou; Xiangbao Zhou; Qingyang Wei (IEEE Trans. Instrum. Meas., 2025)

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs. - Xintong Tang; Meiru Zhang; Shang Xiao; Junzhao Jin; Zihan Zhao; Liwei Li; Yang Zheng; Bangyi Wu (CoRR, 2025)