Unsupervised Fake News Detection on Social Media: A Generative Approach. - Shuo Yang 001; Kai Shu; Suhang Wang; Renjie Gu; Fan Wu 006; Huan Liu 001 (AAAI, 2019)

Distributed Machine Learning on Mobile Devices: A Survey. - Renjie Gu; Shuo Yang 001; Fan Wu 006 (CoRR, 2019)

On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption. - Yikai Yan; Chaoyue Niu; Renjie Gu; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Chengfei Lyu; Guihai Chen (KDD, 2022)

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. - Chengfei Lv; Chaoyue Niu; Renjie Gu; Xiaotang Jiang; Zhaode Wang; Bin Liu; Ziqi Wu; Qiulin Yao; Congyu Huang; Panos Huang; Tao Huang; Hui Shu; et al. (OSDI, 2022)

On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems. - Renjie Gu; Chaoyue Niu; Yikai Yan; Fan Wu 006; Shaojie Tang 001; Rongfeng Jia; Chengfei Lyu; Guihai Chen (CoRR, 2022)

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey. - Renjie Gu; Chaoyue Niu; Fan Wu 006; Guihai Chen; Chun Hu; Chengfei Lyu; Zhihua Wu (ACM Comput. Surv., 2022)

Course-Correction: Safety Alignment Using Synthetic Preferences. - Rongwu Xu; Yishuo Cai; Zhenhong Zhou; Renjie Gu; Haiqin Weng; Liu Yan; Tianwei Zhang 004; Wei Xu 039; Han Qiu 001 (EMNLP (Industry Track), 2024)

Course-Correction: Safety Alignment Using Synthetic Preferences. - Rongwu Xu; Yishuo Cai; Zhenhong Zhou; Renjie Gu; Haiqin Weng; Yan Liu; Tianwei Zhang 004; Wei Xu 039; Han Qiu 001 (CoRR, 2024)

Knowledge graph construction for heart failure using large language models with prompt engineering. - Tianhan Xu; Yixun Gu; Mantian Xue; Renjie Gu; Bin Li 006; Xiang Gu (Frontiers Comput. Neurosci., 2024)

MHALO: Evaluating MLLMs as Fine-grained Hallucination Detectors. - Yishuo Cai; Renjie Gu; Jiaxu Li; Xuancheng Huang; Junzhe Chen; Xiaotao Gu; Minlie Huang (ACL (Findings), 2025)

Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning. - Boheng Li; Renjie Gu; Junjie Wang; Leyi Qi; Yiming Li 004; Run Wang 001; Zhan Qin; Tianwei Zhang 004 (CoRR, 2025)