Block-based multiscale error concealment using low-rank completion. - Mading Li; Jiaying Liu 001; Chong Ruan; Lu Liu; Zongming Guo (APSIPA, 2014)

Domain Ontology Learning Enhanced by Optimized Relation Instance in DBpedia. - Liumingjing Xiao; Chong Ruan; An Yang; Junhao Zhang; Junfeng Hu (LREC, 2016)

Optimize Hierarchical Softmax with Word Similarity Knowledge. - Zhixuan Yang; Chong Ruan; Caihua Li; Junfeng Hu (POLIBITS, 2017)

Sparse Word Representation for RNN Language Models on Cellphones. - Chong Ruan; Yanshuang Liu (CICLing (2), 2018)

Research on the influence and measurement of harmonic in power supply system for super capacitor tram. - Pengyi Liao; Yepeng Li; Chong Ruan; Zihao Zhao; Yong Chang (SysCon, 2018)

Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation. - Yinuo Guo; Chong Ruan; Junfeng Hu (WMT (shared task), 2018)

An automatic vulnerability classification framework based on BiGRU-TextCNN. - Mengyuan Pan; Po Wu; Yiwei Zou; Chong Ruan; Tao Zhang (INNS DLIA@IJCNN, 2023)

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models. - Damai Dai; Chengqi Deng; Chenggang Zhao; R. X. Xu; Huazuo Gao; Deli Chen; Jiashi Li; Wangding Zeng; Xingkai Yu; Y. Wu; Zhenda Xie; Y. K. Li; et al. (ACL (1), 2024)

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-VL: Towards Real-World Vision-Language Understanding. - Haoyu Lu; Wen Liu; Bo Zhang; Bingxuan Wang; Kai Dong 003; Bo Liu 039; Jingxiang Sun; Tongzheng Ren; Zhuoshu Li; Hao Yang; Yaofeng Sun; Chengqi Deng; 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-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data. - Huajian Xin; Daya Guo; Zhihong Shao; Zhizhou Ren; Qihao Zhu; Bo Liu 039; Chong Ruan; Wenda Li; Xiaodan Liang (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-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding. - Zhiyu Wu; Xiaokang Chen; Zizheng Pan; Xingchao Liu; Wen Liu; Damai Dai; Huazuo Gao; Yiyang Ma; Chengyue Wu; Bingxuan Wang; Zhenda Xie; Yu Wu; 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)

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. - Jingyang Yuan; Huazuo Gao; Damai Dai; Junyu Luo 002; Liang Zhao; Zhengyan Zhang; Zhenda Xie; Yuxing Wei; Lean Wang; Zhiping Xiao 001; Yuqing Wang; Chong Ruan; et al. (ACL (1), 2025)

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation. - Yiyang Ma; Xingchao Liu; Xiaokang Chen; Wen Liu; Chengyue Wu; Zhiyu Wu; Zizheng Pan; Zhenda Xie; Haowei Zhang; Xingkai Yu; Liang Zhao; Yisong Wang; et al. (CVPR, 2025)

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. - Chengyue Wu; Xiaokang Chen; Zhiyu Wu; Yiyang Ma; Xingchao Liu; Zizheng Pan; Wen Liu; Zhenda Xie; Xingkai Yu; Chong Ruan; Ping Luo 002 (CVPR, 2025)

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)

Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures. - Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Huazuo Gao; Jiashi Li; Liyue Zhang; Panpan Huang; Shangyan Zhou; Shirong Ma; Wenfeng Liang; Ying He; et al. (ISCA, 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)

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling. - Xiaokang Chen; Zhiyu Wu; Xingchao Liu; Zizheng Pan; Wen Liu; Zhenda Xie; Xingkai Yu; Chong Ruan (CoRR, 2025)

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. - Jingyang Yuan; Huazuo Gao; Damai Dai; Junyu Luo 002; Liang Zhao; Zhengyan Zhang; Zhenda Xie; Y. X. Wei; Lean Wang; Zhiping Xiao 001; Yuqing Wang; Chong Ruan; et al. (CoRR, 2025)

Inference-Time Scaling for Generalist Reward Modeling. - Zijun Liu; Peiyi Wang; Runxin Xu; Shirong Ma; Chong Ruan; Peng Li; Yang Liu; Yu Wu (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)

Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures. - Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Huazuo Gao; Jiashi Li; Liyue Zhang; Panpan Huang; Shangyan Zhou; Shirong Ma; Wenfeng Liang; Ying He; et al. (CoRR, 2025)