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銆�銆�Email:liudj65@163.com, liudejun@cup.edu.cn

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銆�銆�1. Cheng Xing, Liu Dejun, Wang Chen, Yan Song, Zhu Zhengyu. Deep Learning-Based Channel Estimation and Equalization Scheme for FBMC/OQAM Systems. IEEE Wireless Communications Letters, 2019, 8(3): 881-884. (SCI, EI妫�绱?.
銆�銆�2. Shi Wenzhe, Liu Dejun, Cheng Xing, Li Yang, Zhao Yang. Particle Swarm Optimization-Based Deep Neural Network for Digital Modulation Recognition. IEEE Access, 2019,7: 104591-104600. (SCI妫�绱?.
銆�銆�3. Li Cai-Fang, Liu De-Jun, Zhai Ying, Xie Yuan, Sun Yu. The effect of parallel pipeline parameters on the characteristics of gravity and magnetic surveys. Journal of Applied Geophysics, 2019, 166: 77-88. (SCI, EI妫�绱?.
銆�銆�4. Cheng, Xing, Liu Dejun, Feng Shuo, Pan Qi, Fang, Huafeng. PTS based on DisABC algorithm for PAPR reduction in OFDM systems. Electronics Letters, 2018, 54(6): 397-398. (SCI, EI妫�绱?.
銆�銆�5. Shuo Feng, Dejun Liu, Xing Cheng, Huafeng Fang, Caifang Li. A new segmentation strategy for processing magnetic anomaly detection data of shallow depth ferromagnetic pipeline. Journal of Applied Geophysics, 2017, 139: 65-72. (SCI, EI妫�绱?.
銆�銆�6. Qi Pan, De-Jun Liu, Zhi-Yong Guo, Hua-Feng Fang and Mu-Qun Feng. Magnetic anomaly inversion using magnetic dipole reconstruction based on the pipeline section segmentation method. Journal of Geophysics and Engineering, 2016, 13(3): 242-258. (SCI妫�绱?.
銆�銆�7. Zhi-Yong Guo, De-Jun Liu, Qi Pan, Ying-Ying Zhang. Forward modeling of total magnetic anomaly over a pseudo-2D underground ferromagnetic pipeline. Journal of Applied Geophysics, 2015, 113: 14-30. (SCI, EI妫�绱?.
銆�銆�8. Dejun LIU, Hui LI, Yingying ZHANG, Gengxue ZHU, and Qinghui AI. A study on directional resistivity logging-while-drilling based on self-adaptive hp-FEM. Acta Geophysica, 2014, 62(6): 1328-1351. (SCI, EI妫�绱?.
銆�銆�9. Ying-Ying Zhang, De-Jun Liu, Qing-Hui Ai , Min-Jun Qin. 3D modeling and inversion of the electrical resistivity tomography using steel cased boreholes as long electrodes. Journal of Applied Geophysics, 2014, 109: 292-300. (SCI, EI妫�绱?.
銆�銆�10.Liu Dejun, Che Rensheng, Li Zifang and Luo Xiaochuan. Research on the Theory and the Virtual Prototype of 3-DOF Parallel-link Coordinate-measuring Machine. IEEE Transactions on Instrumentation and Measurement, 2003, 52(1): 119-125. (SCI, EI妫�绱?.
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銆�銆�11. Cheng, Xing, Liu Dejun, Yan Song, Shi Wenzhe, Zhao Yang. Channel Estimation and Equalization Based on Deep BLSTM for FBMC-OQAM Systems. 2019 IEEE International Conference on Communications (ICC 2019), 2019, May 20-24, Shanghai, China. (EI妫�绱?.
銆�銆�12.Xing Cheng, Dejun Liu, Jingfu Yan, Huafeng Fang and Jin Xu. A Channel Estimation Method for Underground High-Speed Cable Telemetry System Based on OFDM and Its Realization. 2016 International Conference on Information and Communication Technology Convergence (ICTC 2016), 2016, Oct. 19-21, Jeju Island, Korea. (EI妫�绱?.
銆�銆�13.Pan Qi, Liu Dejun, Geng Min, Cheng Xing and Wang Xin.Euler Deconvolution of the Analytic Signals of Gravity Gradient Tensor for Underground Horizontal Pipeline. 78th EAGE Conference & Exhibition 2016, 2016, May 30-June 2, Vienna, Austria. (EI妫�绱?.
銆�銆�14. Yingying Zhang, Dejun Liu, Yue Liu, Minjun Qin. 3D Modeling and Inversion of Borehole-surface Resistivity Data. 2013 AGU fall meeting, 2013, Dec. 9-13, San Francisco, California, USA. (EI妫�绱?.
銆�銆�15.LiuDejun, Che Rensheng, Li Zifang and Luo Xiaochuan. Research on the Theory and the Virtual Prototype of 3-DOF Parallel-link Coordinate-measuring Machine. 18th IEEE Instrumentation and Measurement Technology Conference (IMTC/2001), 2001, May 21-23, Budapest, Hungary. (EI妫�绱?.

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銆�銆�1. 鍒樺緱鍐? 鍒樺溅鏄? 鍒樺叴鏂? 绛? 鐑�鑴夊啿鏃跺樊寮忔补姘翠袱鐩告祦閲忔祴閲忎紶鎰熷�? 鍥藉�跺彂鏄庝笓鍒�, ZL 2014 1 **.7.
銆�銆�2. 鍒樺緱鍐涜憲, 銆婂苟鑱斿潗鏍囨祴閲忔満寤烘ā鐞嗚�哄強鍏惰櫄鎷熷師鍨嬬爺绌躲�? 榛戦緳姹熺�戝�︽妧鏈�鍑虹増绀撅�?002锛?2.
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銆�銆�1. 鍦颁笅绠＄嚎纾佸紓甯镐笁灞傚垎閲忚仈鍚堝弽婕旀垚鍍忔帰娴嬫柊鏂规硶鐮旂┒ (璐熻矗浜?, 鍥藉�惰嚜鐒剁�戝�﹀熀閲戦」鐩�.
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