Unbiased Learning to Rank in Feeds Recommendation. - Xinwei Wu 001; Hechang Chen; Jiashu Zhao; Li He; Dawei Yin; Yi Chang 001 (WSDM, 2021)

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework. - Junzhuo Li; Xinwei Wu 001; Weilong Dong; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (CoRR, 2022)

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks. - Weilong Dong; Xinwei Wu 001; Junzhuo Li; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (CoRR, 2022)

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. - Xinwei Wu 001; Junzhuo Li; Minghui Xu; Weilong Dong; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (EMNLP, 2023)

Large Language Model Alignment: A Survey. - Tianhao Shen; Renren Jin; Yufei Huang 005; Chuang Liu 009; Weilong Dong; Zishan Guo; Xinwei Wu 001; Yan Liu; Deyi Xiong (CoRR, 2023)

Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching. - Xinwei Wu 001; Weilong Dong; Shaoyang Xu; Deyi Xiong (ACL (Findings), 2024)

Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages? - Shaoyang Xu; Weilong Dong; Zishan Guo; Xinwei Wu 001; Deyi Xiong (EMNLP (Findings), 2024)

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons. - Dan Shi 001; Renren Jin; Tianhao Shen; Weilong Dong; Xinwei Wu 001; Deyi Xiong (NeurIPS, 2024)

Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages? - Shaoyang Xu; Weilong Dong; Zishan Guo; Xinwei Wu 001; Deyi Xiong (CoRR, 2024)

Large Language Model Safety: A Holistic Survey. - Dan Shi 001; Tianhao Shen; Yufei Huang 005; Zhigen Li; Yongqi Leng; Renren Jin; Chuang Liu 009; Xinwei Wu 001; Zishan Guo; Linhao Yu; Ling Shi; Bojian Jiang; et al. (CoRR, 2024)

CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation. - Weilong Dong; Xinwei Wu 001; Renren Jin; Shaoyang Xu; Deyi Xiong (COLING, 2025)

TaP: A Taxonomy-Guided Framework for Automated and Scalable Preference Data Generation. - Renren Jin; Tianhao Shen; Xinwei Wu 001; Dan Shi 001; Haoran Sun; Wuwei Huang; Quandong Wang; Wei Liu 005; Jian Luan 001; Bin Wang 004; Deyi Xiong (CoRR, 2025)