Privacy Leakage in Privacy-Preserving Neural Network Inference. - Mengqi Wei; Wenxing Zhu; Liangkun Cui; Xiangxue Li; Qiang Li (ESORICS (1), 2022)

SecureBiNN: 3-Party Secure Computation for Binarized Neural Network Inference. - Wenxing Zhu; Mengqi Wei; Xiangxue Li; Qiang Li (ESORICS (3), 2022)

Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance. - Rui Zou; Sannyuya Liu; Yawei Luo; Yaqi Liu; Jintian Feng; Mengqi Wei; Jianwen Sun (AAAI, 2024)

Gradual Vigilance and Interval Communication: Enhancing Value Alignment in Multi-Agent Debates. - Rui Zou; Mengqi Wei; Jintian Feng; Qian Wan 007; Jianwen Sun; Sannyuya Liu (CoRR, 2024)

Progressive knowledge tracing: Modeling learning process from abstract to concrete. - Jianwen Sun; Mengqi Wei; Jintian Feng; Fenghua Yu; Qing Li 045; Rui Zou (Expert Syst. Appl., 2024)

Towards a Multi-Granulated Statistical Framework for Human-Machine Collaboration in Image Classification. - Wei Gao; Jintian Feng; Mengqi Wei; Rui Zou; Jianwen Sun (IEEE Trans. Multim., 2025)

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis. - Rui Zou; Mengqi Wei; Yutao Zhu 001; Jirong Wen; Xin Zhao 018; Jing Chen (CoRR, 2025)