Enhancing Sequential Recommendation via Decoupled Knowledge Graphs. - Bingchao Wu; Chenglong Deng; Bei Guan; Yongji Wang 002; Yuxuan Kangyang (ESWC, 2022)

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. - Daoguang Zan; Sirui Wang; Hongzhi Zhang; Kun Zhou 002; Wei Wu 014; Wayne Xin Zhao; Bingchao Wu; Bei Guan; Yongji Wang 002 (IJCNN, 2022)

When Neural Model Meets NL2Code: A Survey. - Daoguang Zan; Bei Chen; Fengji Zhang; Dianjie Lu; Bingchao Wu; Bei Guan; Yongji Wang 002; Jian-Guang Lou (CoRR, 2022)

Large Language Models Meet NL2Code: A Survey. - Daoguang Zan; Bei Chen; Fengji Zhang; Dianjie Lu; Bingchao Wu; Bei Guan; Yongji Wang 002; Jian-Guang Lou (ACL (1), 2023)

Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. - Bingchao Wu; Yangyuxuan Kang; Daoguang Zan; Bei Guan; Yongji Wang 002 (ICME, 2023)

We Are Not So Similar: Alleviating User Representation Collapse in Social Recommendation. - Bingchao Wu; Yangyuxuan Kang; Bei Guan; Yongji Wang 002 (ICMR, 2023)

Private-library-oriented code generation with large language models. - Daoguang Zan; Bei Chen; Yongshun Gong; Junzhi Cao; Fengji Zhang; Bingchao Wu; Bei Guan; Yilong Yin; Yongji Wang 002 (Knowl. Based Syst., 2025)

Scaling Transformers for Discriminative Recommendation via Generative Pretraining. - Chunqi Wang; Bingchao Wu; Zheng Chen; Lei Shen; Bing Wang; Xiaoyi Zeng (CoRR, 2025)