From Properties to Links: Deep Network Embedding on Incomplete Graphs. - Dejian Yang; Senzhang Wang; Chaozhuo Li; Xiaoming Zhang 001; Zhoujun Li 001 (CIKM, 2017)

PPNE: Property Preserving Network Embedding. - Chaozhuo Li; Senzhang Wang; Dejian Yang; Zhoujun Li 001; Yang Yang 002; Xiaoming Zhang 001; Jianshe Zhou (DASFAA (1), 2017)

Beihang at the NTCIR-13 STC-2 Task. - Dejian Yang; Yu Wu 012; Zhoujun Li 001; Wei Wu 014; Can Xu (NTCIR, 2017)

Neural Response Generation with Dynamic Vocabularies. - Yu Wu 012; Wei Wu 014; Dejian Yang; Can Xu; Zhoujun Li 001; Ming Zhou 001 (CoRR, 2017)

Neural Response Generation With Dynamic Vocabularies. - Yu Wu 012; Wei Wu 014; Dejian Yang; Can Xu; Zhoujun Li 001 (AAAI, 2018)

Adversarial learning for multi-view network embedding on incomplete graphs. - Chaozhuo Li; Senzhang Wang; Dejian Yang; Philip S. Yu; Yanbo Liang; Zhoujun Li 001 (Knowl. Based Syst., 2019)

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. - Qian Liu; Dejian Yang; Jiahui Zhang; Jiaqi Guo; Bin Zhou; Jian-Guang Lou (ACL/IJCNLP (Findings), 2021)

CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. - Daoguang Zan; Bei Chen; Dejian Yang; Zeqi Lin; Minsu Kim; Bei Guan; Yongji Wang 002; Weizhu Chen; Jian-Guang Lou (IJCAI, 2022)

How to manage a task-oriented virtual assistant software project: an experience report. - Shuyue Li; Jiaqi Guo; Yan Gao 002; Jian-Guang Lou; Dejian Yang; Yan Xiao; Yadong Zhou; Ting Liu 002 (Frontiers Inf. Technol. Electron. Eng., 2022)

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. - Xiao Bi; Deli Chen; Guanting Chen 002; Shanhuang Chen; Damai Dai; Chengqi Deng; Honghui Ding; Kai Dong 003; Qiushi Du; Zhe Fu; Huazuo Gao; Kaige Gao; et al. (CoRR, 2024)

DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence. - Daya Guo; Qihao Zhu; Dejian Yang; Zhenda Xie; Kai Dong 003; Wentao Zhang; Guanting Chen 002; Xiao Bi; Y. Wu; Y. K. Li; Fuli Luo; Yingfei Xiong 001; et al. (CoRR, 2024)

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. - DeepSeek-AI; Aixin Liu; Bei Feng; Bin Wang 065; Bingxuan Wang; Bo Liu 039; Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Daya Guo; Dejian Yang; et al. (CoRR, 2024)

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. - DeepSeek-AI; Qihao Zhu; Daya Guo; Zhihong Shao; Dejian Yang; Peiyi Wang; Runxin Xu; Y. Wu; Yukun Li; Huazuo Gao; Shirong Ma; Wangding Zeng; et al. (CoRR, 2024)

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search. - Huajian Xin; Z. Z. Ren; Junxiao Song; Zhihong Shao; Wanjia Zhao; Haocheng Wang; Bo Liu 039; Liyue Zhang; Xuan Lu; Qiushi Du; Wenjun Gao; Qihao Zhu; et al. (CoRR, 2024)

DeepSeek-V3 Technical Report. - DeepSeek-AI; Aixin Liu; Bei Feng; Bing Xue; Bingxuan Wang; Bochao Wu; Chengda Lu; Chenggang Zhao; Chengqi Deng; Chenyu Zhang; Chong Ruan; Damai Dai; et al. (CoRR, 2024)

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search. - Huajian Xin; Z. Z. Ren; Junxiao Song; Zhihong Shao; Wanjia Zhao; Haocheng Wang; Bo Liu; Liyue Zhang; Xuan Lu; Qiushi Du; Wenjun Gao; Haowei Zhang; et al. (ICLR, 2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction. - Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu; Junxian He (CoRR, 2025)

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition. - Z. Z. Ren; Zhihong Shao; Junxiao Song; Huajian Xin; Haocheng Wang; Wanjia Zhao; Liyue Zhang; Zhe Fu; Qihao Zhu; Dejian Yang; Z. F. Wu; Zhibin Gou; et al. (CoRR, 2025)