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Junxiao Song
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2020 – today
- 2024
- [i8]Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou:
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. CoRR abs/2401.02954 (2024) - [i7]Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo:
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models. CoRR abs/2402.03300 (2024) - [i6]DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun:
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. CoRR abs/2405.04434 (2024) - [i5]DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, Wenfeng Liang:
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. CoRR abs/2406.11931 (2024) - [i4]Huajian Xin, Z. Z. Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Qihao Zhu, Dejian Yang, Zhibin Gou, Z. F. Wu, Fuli Luo, Chong Ruan:
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search. CoRR abs/2408.08152 (2024) - 2021
- [c4]Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan:
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II. ICML 2021: 10905-10915 - 2020
- [i3]Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan:
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II. CoRR abs/2012.13169 (2020)
2010 – 2019
- 2017
- [j6]Licheng Zhao, Junxiao Song, Prabhu Babu, Daniel P. Palomar:
A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization. IEEE Trans. Signal Process. 65(2): 438-453 (2017) - 2016
- [j5]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels. IEEE Trans. Signal Process. 64(8): 2051-2064 (2016) - [j4]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
Sequence Set Design With Good Correlation Properties Via Majorization-Minimization. IEEE Trans. Signal Process. 64(11): 2866-2879 (2016) - [c3]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Sequence design to minimize the peak sidelobe level. ICASSP 2016: 3896-3900 - 2015
- [j3]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Sparse Generalized Eigenvalue Problem Via Smooth Optimization. IEEE Trans. Signal Process. 63(7): 1627-1642 (2015) - [j2]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes. IEEE Trans. Signal Process. 63(15): 3998-4009 (2015) - [c2]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
Optimization methods for sequence design with low autocorrelation sidelobes. ICASSP 2015: 3033-3037 - [i2]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Optimization Methods for Designing Sequences with Low Autocorrelation Sidelobes. CoRR abs/1501.02252 (2015) - 2014
- [c1]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
A fast algorithm for sparse generalized eigenvalue problem. ACSSC 2014: 1652-1656 - [i1]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Sparse Generalized Eigenvalue Problem via Smooth Optimization. CoRR abs/1408.6686 (2014) - 2013
- [j1]Xiaopeng Fan, Junxiao Song, Daniel P. Palomar, Oscar C. Au:
Universal Binary Semidefinite Relaxation for ML Signal Detection. IEEE Trans. Commun. 61(11): 4565-4576 (2013)
Coauthor Index
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last updated on 2024-09-25 01:41 CEST by the dblp team
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