| AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation X Ma, JW Keung, X Yu, H Zou, J Zhang, Y Li IEEE Transactions on Reliability 72 (4), 1663-1677, 2023 | 15 | 2023 |
| Not yet: Large language models cannot replace human respondents for psychometric research P Wang, H Zou, Z Yan, F Guo, T Sun, Z Xiao, B Zhang OSF, 2024 | 6 | 2024 |
| On the influence of data resampling for deep learning-based log anomaly detection: Insights and recommendations X Ma, H Zou, P He, J Keung, Y Li, X Yu, F Sarro IEEE Transactions on Software Engineering, 2024 | 3 | 2024 |
| Practitioners' Expectations on Log Anomaly Detection X Ma, Y Li, J Keung, X Yu, H Zou, Z Yang, F Sarro, ET Barr arXiv preprint arXiv:2412.01066, 2024 | 1 | 2024 |
| Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind Z Liu, Y Qin, H Zou, EJ Paek, D Casenhiser, W Zhou, X Zhao International Conference on Social Robotics, 100-109, 2022 | 1 | 2022 |
| Personality Structured Interview for Large Language Model Simulation in Personality Research P Wang, H Zou, H Chen, T Sun, Z Xiao, FL Oswald arXiv preprint arXiv:2502.12109, 2025 | | 2025 |
| Can LLM" Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots H Zou, P Wang, Z Yan, T Sun, Z Xiao arXiv preprint arXiv:2412.00207, 2024 | | 2024 |
| Towards Dynamic and Realistic Evaluation of Multi-modal Large Language Model Y Li, H Zou, Z Xiao | | 2024 |