On Inferring User Socioeconomic Status with Mobility Records. - Zheng Wang 046; Mingrui Liu 002; Cheng Long 001; Qianru Zhang; Jiangneng Li; Chunyan Miao (IEEE Big Data, 2022)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation. - Mingrui Liu 002; Sixiao Zhang; Cheng Long 001 (WSDM, 2025)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation. - Mingrui Liu 002; Sixiao Zhang; Cheng Long 001 (WWW, 2025)

On Mitigating Data Sparsity in Conversational Recommender Systems. - Sixiao Zhang; Mingrui Liu 002; Cheng Long 001; Wei Yuan 003; Hongxu Chen 002; Xiangyu Zhao 001; Hongzhi Yin (CoRR, 2025)

The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning. - Mingrui Liu 002; Sixiao Zhang; Cheng Long 001; Kwok-Yan Lam (CoRR, 2025)

Wukong Framework for Not Safe For Work Detection in Text-to-Image Systems. - Mingrui Liu 002; Sixiao Zhang; Cheng Long 001 (KDD (1), 2026)

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation. - Mingrui Liu 002; Sixiao Zhang; Cheng Long 001 (CoRR, 2026)

RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse. - Mingrui Liu 002; Sixiao Zhang; Cheng Long 001; Kwok-Yan Lam (CoRR, 2026)