【个人信息】

刘光辉，电子科技大学信息与通信工程学院教授、博士生导师。

2002年和2005年在电子科技大学电子工程学院分获硕士和博士学位。2005年至2009年在三星电子半导体部门（韩国水原）工作，任高级工程师；2009年回到电子科技大学，历任副教授、教授／博导。

长期从事移动通信系统、通信信号处理、机器学习/深度学习及应用等方面的教学、科研和人才培养工作。为研究生开设并讲授《现代无线通信原理》十余年，为本科生讲授《数字无线电基础》等专业课程，受到广泛好评；主持多项省级／校级教改项目，获得教学成果特等／一／二等奖4项；累计为国家培养硕士／博士研究生毕业 近 60人，就业于华为、中兴、高通、百度、阿里、腾讯、字节跳动、哈尔滨工业大学、西南交通大学等行业顶尖企业和科研院所。负责/完成包括自然科学基金重点/面上项目、KGJ 基础产品创新计划、省重点研发计划等在内的科研项目20余项，基于科研成果发表高水平学术论文百余篇，其中30余篇发表于IEEE TWC、TCOM、TSP、TIP、TCSVT、TVT、TMM、TPAMI等IEEE Transactions（汇刊）；在ICCV、AAAI、ACM MM等CCF-A类国际会议，IEEE ICC、Globecom、VTC、ISCAS、BMSB等协会旗舰会议发表论文 50余篇；申请60余项发明专利，其中授权中国发明专利40余项、授权美国发明专利6项（唯一发明人）；曾获教育部自然科学奖二等奖、教育部科技进步奖二等奖、四川省科技进步奖等科研奖励；与业界保持长期合作，关于超Nyquist速率传输的相关技术2021年获华为“优秀技术合作成果”奖。

  是IEEE协会高级会员（IEEE Senior Member），中国电子学会会员，曾任多个重要国际会议IEEE ISPACS / VCIP等出版主席，十余个权威学术刊物审稿专家，包括电子学报，IEEE TCOM、TWC、TVT，IEEE Commun. Lett.等。

每年招收硕士研究生3～5名，博士研究生1～2名，欢迎对无线通信信号处理、计算机视觉、机器学习/深度学习等方向感兴趣的有志之士加入（将CV发至邮箱guanghuiliu@uestc.edu.cn）。

近期代表性学术成果如下。

【期刊论文】

1.       Qingyu Li, Guanghui Liu, Yusha Liu, Hongjun Liu, Fuchen Xu, and Chengxiang Liu, “Deep learning aided low complexity expectation propagation turbo detection for AFDM,” IEEE Transactions on Communications, accepted for publication in 2025.

2.       Ru Li, Jia Liu, Guanghui Liu, Shengping Zhang, Bing Zeng, Shuaicheng Liu, “SS-NeRF: Physically based sparse spectral rendering with neural radiance field,” IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication in 2025.

3.       Chengxiang Liu, Guanghui Liu, Fuchen Xu, Qingyu Li, Hongjun Liu, Lei Zhang, and Muhammad Ali Imran, “End-to-end optimized non-orthogonal multicarrier waveform design via deep learning,” IEEE Transactions on Communications, accepted for publication in 2025.

4.       Yang Ren, Xinhan Niu, Hai Jiang, Zhen Liu, Ting Jiang, Guanghui Liu, and Shuaicheng Liu, “ISPFormer: Learning RAW-to-sRGB mappings with wavelet-based self-attention,” Neurocomputing 652 (2025) 131084, pp. 1 – 10, July 2025.

5.       Fuchen Xu, Guanghui Liu, Ji Zhou, Chengxiang Liu, Qingyu Li, Yanbo Zhao, and Xiangqian Xu, “PAPR performance of filter shapes index modulation: Analysis and optimization,” IEEE Transactions on Vehicular Technology, vol. 74, no. 6, pp. 9828 – 9833, June 2025. 

6.       Chengxiang Liu, Guanghui Liu, Fuchen Xu, Qingyu Li, Lei Zhang, and Muhammad Ali Imran, “Neural network aided FTN transmission over doubly selective fading channels: Waveform learning, channel estimation and data detection,” IEEE Transactions on Vehicular Technology, vol. 74, no. 4, pp. 6306 – 6321, Apr. 2025.

7.       Qingyu Li, Guanghui Liu, Yanbo Zhao, Chengxiang Liu, and Fuchen Xu, “Deep learning-based downlink OTFS-SCMA,” IEEE Wireless Communications Letters, vol. 13, no. 12, pp. 3434 – 3438, Dec. 2024.

8.       Ru Li, Peng Dai, Guanghui Liu, Shengping Zhang, Bing Zeng, and Shuaicheng Liu, “PBR-GAN: Imitating physically based rendering with generative adversarial networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 3, pp. 1827 – 1840, Mar. 2024.

9.       Ru Li, Chuan Wang, Shuaicheng Liu, Jue Wang, Guanghui Liu, and Bing Zeng, “UPHDR-GAN: Generative adversarial network for high dynamic range imaging with unpaired data,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 11, pp. 7532 – 7546, Nov. 2022.

10.    Shan Wen, Guanghui Liu, Fuchen Xu, Lei Zhang, Chengxiang Liu, and Muhammad Ali Imran, “Ergodic capacity of MIMO faster-than-Nyquist transmission over triply selective Rayleigh fading channel,” IEEE Transactions on Communications, vol. 70, no. 8, pp. 5046 – 5058, Aug. 2022.

11.    Huiyang Qu, Guanghui Liu, Muhammad Imran, Shan Wen, and Lei Zhang, “Efficient channel equalization and symbol detection for MIMO OTFS systems,” IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 6672 – 6686, Aug. 2022.

12.    Qiang Zhu, Shuyuan Zhu, Guanghui Liu, and Zhenming Peng, “Infrared small target detection using local feature-based density peaks searching,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1 – 5, Apr. 2022.

13.    Shan Wen, Guanghui Liu, Chengxiang Liu, Huiyang Qu, Lei Zhang, and Muhammad Ali Imran, “Low-complexity channel estimation and detection for faster-than-Nyquist transmission using hybrid linear/Tomlinson-Harashima precoding,” IEEE Transactions on Vehicular Technology, vol. 71, no. 4, pp. 3948 – 3963, Apr. 2022.

14.    Miao Tian, Taidong Zhang, Guanghui Liu, and Lin Lin, “Estimation of tropical cyclone intensity using synthetic satellite microwave temperature anomaly structure and a multi-feature distribution learning network,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1 – 12, 2022, Art no. 4105512, doi: 10.1109/TGRS.2021.3132620.

15.    Tiecheng Sun, Guanghui Liu, Ru Li, Shuaicheng Liu, Shuyuan Zhu, and Bing Zeng, “Quadratic terms based point to surface 3D representation for deep learning of point cloud,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 5, pp. 2705 – 2718, May 2022.

16.    Shan Wen, Guanghui Liu, Chengxiang Liu, Huiyang Qu, Miao Tian, and Yan Chen, “Waveform design for high-order QAM FTN transmission in the presence of phase noise,” IEEE Transactions on Wireless Communications, vol. 21, no. 1, pp. 2 – 17, Jan. 2022.  

17.    Ru Li, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, and Bing Zeng, “JigsawGAN: Self-supervised learning for solving Jigsaw puzzles with generative adversarial networks,” IEEE Transactions on Image Processing, vol. 31, pp. 513 – 524, Jan. 2022.

18.    Huiyang Qu, Guanghui Liu, Lei Zhang, Muhammad Ali Imran, “Low-dimensional subspace estimation of continuous-Doppler-spread channel in OTFS systems,” IEEE Transactions on Communications, vol. 69, no. 7, pp. 4717 – 4731, July 2021.

19.    Huiyang Qu, Guanghui Liu, Lei Zhang, Shan Wen, and Muhammad Ali Imran, “Low-complexity symbol detection and interference cancellation for OTFS system,” IEEE Transactions on Communications, vol. 69, no. 3, pp. 1524 – 1537, Mar. 2021. 

20.    Ru Li, Chi-Hao Wu, Shuaicheng Liu, Jue Wang, Guangfu Wang, Guanghui Liu, and Bing Zeng, “SDP-GAN: Saliency detail preservation generative adversarial networks for high perceptual quality style transfer,” IEEE Transactions on Image Processing, vol. 30, pp. 374 – 385, Jan. 2021. 

21.    Miao Tian, Hao Chen, and Guanghui Liu, “Cloud detection from paired CrIS water vapor and CO₂ channels using machine learning techniques,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2781 – 2793, Apr. 2021. 

22.    Tiecheng Sun, Guanghui Liu, Shuaicheng Liu, Fanman Meng, Liaoyuan Zeng, and Ru Li, “An efficient and compact 3D local descriptor based on the weighted height image,” Information Sciences, 520(2020): 209 – 231, Feb. 2020.

23.    Ru Li, Shuaicheng Liu, Guanghui Liu, Tiecheng Sun, and Jishun Guo, “Multi-exposure photomontage with hand-held cameras,” Computer Vision and Image Understanding, vol. 193, Apr. 2020, 10929. [online]: https://doi.org/10.1016/j.cviu.2020.102929. Feb. 2020.

24.    Shan Wen, Guanghui Liu, Qiang Chen, Huiyang Qu, Miao Tian, et al., “Time-frequency compressed FTN signaling: A solution to spectrally efficient single-carrier system,” IEEE Transactions on Communications, vol. 68, no. 5, pp. 3125 – 3139, May 2020. 

25.    Yanyan Wang, Wanchun Liu, Xiangyun Zhou, and Guanghui Liu, “On the performance of splitting receiver with joint coherent and non-coherent processing,” IEEE Transactions on Signal Processing, vol. 68, pp. 917 – 930, Jan. 2020. 

26.    Huiyang Qu, Guanghui Liu, Yanyan Wang, Qiang Chen, Chao Yi, and Jianping Peng, “A Time-Domain Approach to Channel Estimation and Equalization for the SC-FDM System,” IEEE Transactions on Broadcasting, vol. 65, no. 4, pp. 713 – 726, Dec. 2019. 

27.    Yanyan Wang, Guanghui Liu, Feng Han, Huiyang Qu, and Qiang Chen, “Channel estimation and equalization for SS-OOFDM system with high mobility,” IEEE Communications Letters, vol. 23, no. 1, pp. 92 – 95, Jan. 2019. 

 

【会议论文】

1.       Qinglun Zhang, Zhen Liu, Haoqiang Fan, Guanghui Liu, Bing Zeng, and Shuaicheng Liu, “FlowPolicy: Enabling fast and robust 3D flow-based policy via consistency flow matching for robot manipulation,” in Proc. Association for the Advancement of Artificial Intelligence (AAAI-2025), philadelphia, pennsylvania, USA, Feb. 25 – Mar. 4, 2025.

2.       Hongjun Liu, Guanghui Liu, Fuchen Xu, and Qingyu Li, “Neural network aided equalization for AFDM systems with power amplifier nonlinearity,” in Proc. IEEE Intl’ Conf. Commun. (ICC-2025), Montreal, Canada, June 8 – 12, 2025.

3.       Qingyu Li, Guanghui Liu, Hongjun Liu, Fuchen Xu, and Chengxiang Liu, “Low complexity expectation-propagation-based AFDM detection,” in Proc. IEEE VTC2025-Fall, Chengdu, China, Oct. 19 – 22, 2025.

4.       Fuchen Xu, Guanghui Liu, Chengxiang Liu, Ji Zhou, and Yusha Liu, “Waveform index modulation in subcarrier filtering OFDM system,” in Proc. IEEE VTC2025-Fall, Chengdu, China, Oct. 19 – 22, 2025.

5.       Chengxiang Liu, Guanghui Liu, Lei Zhang, Fuchen Xu, Qingyu Li, and Muhammad Imran, “DRL-based adaptive bit-loading in NN-aided non-orthogonal multicarrier systems,” in Proc. the 17th International Conference on Signal Processing Systems (ICSPS 2025), Chengdu, China, Oct. 24 – 26, 2025.

6.       Suyi Chen, Hao Xu, Haipeng Li, Kunming Luo, Guanghui Liu, Chi-Wing Fu, Ping Tan, and Shuaicheng Liu, “PointGPT: Boosting 3D point cloud registration using generative point-cloud pairs for training,” in Proc. European Conference on Computer Vision(ECCV-2024), pp. 272 – 289, Milan, Italy, Sept. 29 – Oct. 4, 2024.

7.       Ru Li, Jia Liu, Guanghui Liu, Shengping Zhang, Bing Zeng, and Shuaicheng Liu, “SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field,” in Proc. AAAI-2024, Vancouver, Canada, Feb. 20 – 27, 2024.

8.       Yiyang Bai, Yanbo Zhao, Chengxiang Liu, Fuchen Xu, and Guanghui Liu, “ResNet based multi-target range and velocity estimation method for millimeter-wave OFDM system,” in Proc. 2024 IEEE Wireless Communications and Networking Conference (WCNC-2024), Dubai, United Arab Emirates (UAE), Apr. 21 – 24, 2024.

9.       Suyi Chen, Hao Xu, Ru Li, Guanghui Liu, Chi-Wing Fu, and Shuaicheng Liu, “SIRA-PCR: Sim-to-Real adaptation for 3D point cloud registration,” in Proc. ICCV-2023, accepted, Paris, France, Oct. 2 – 6, 2023.

10.    Qiang Zhu, Haoyu Zhang, Shuyuan Zhu, Guanghui Liu, Bing Zeng, Xiaozhen Zheng, “Deep video super-resolution with flow-guided deformable alignment and sparsity-based temporal-spatial enhancement,” in Proc. IEEE MMSP 2022, Shanghai, China, Sept. 26 – 28, 2022. (Top 10% Paper Award).

11.    Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, and Shuaicheng Liu, “FINet: Dual branches feature interaction for partial-to-partial point cloud registration,” in Proc. AAAI-22, pp. 2848 – 2856, Vancouver, BC, Canada, Feb. 22 – Mar. 1, 2022.

12.    Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, and Bing Zeng, “OMNet: Learning overlapping mask for partial-to-partial point cloud registration,” in Proc. ICCV 2021, pp. 3112 – 3121, Oct. 11 – 17, 2021.

13.    Mengfan Zhang, Hao Chen, Guanghui Liu, and M. Tian, “Improved cloud detection model using S-NPP CrIS FSR data vis machine learning,” in Proc. IEEE IGARSS-2020, pp. 1 – 4, Oct. 2020.

14.    M. Tian, H. Chen, and G. Liu, “Cloud detection and classification for S-NPP FSR CrIS data using supervised machine learning,” in Proc. IEEE IGARSS 2019, Yokohama, Japan, pp. 9827 – 9830, July 28 – Aug. 2, 2019.

15.    Ru Li, Shuaicheng Liu, Guanghui Liu, and Bing Zeng, “Hybrid synthesis for exposure fusion form hand-held camera inputs,” in Proc. IEEE ICIP-2019, Taiwan, Sept. 2019.

16.    Shan Wen, Guanghui Liu, Qiang Chen Huiyang Qu, Yanyan Wang, and Pan Zhou, “Optimization of Precoded FTN Signaling with MMSE-Based Turbo Equalization,” in Proc. IEEE ICC-2019, pp. 1-7, Shanghai, China, May 2019.

17.    Chonghao Zhang, Pan Zhou, Guanghui Liu, Shimin Gong, Wei Wang, and Dapeng Wu, “Online Learning for Context-Aware Multi-User Package Delivery System with Unmanned Vehicles,” in Proc. IEEE ICC-2019, pp. 1-7, Shanghai, China, May 2019.

18.    Tiecheng Sun, Shuaicheng Liu, Guanghui Liu, Shuyuan Zhu, and Zhipeng Zhu, “A 3D descriptor based on local height image,” in Proc. IEEE ISCAS-2018, pp. 1 – 5, Italy, June, 2018.

19.    Ru Li, Xiaowu He, Shuaicheng Liu, Guanghui Liu, “Photomontage for robust HDR imaging with hand-held cameras,” in Proc. IEEE ICIP-2018, pp. 1 – 5, Greece, Oct. 2018.

20.    Huiyang Qu, Guanghui Liu, Yanyan Wang, Shan Wen, and Qiang Chen, “Time-domain channel estimation for the LTE-V system over high-speed mobile channels,” in Proc. IEEE BMSB-2018, pp. 1 – 5, Spain, June, 2018.

21.    Shan Wen, Guanghui Liu, Qiang Chen, Huiyang Qu, and Yanyan Wang, “Optimal precoding based spectrum compression for faster-than-Nyquist Signaling,” in Proc. IEEE BMSB-2018, pp. 1 – 5, Spain, June, 2018.

 

【授权美国专利】

1.       Guanghui Liu, “Method and apparatus for carrier frequency offset synchronization of orthogonal frequency division multiplexing receivers,” U. S. patent 8 446 990, May 21, 2013. 

2.       Guanghui Liu, “Method of estimating inter-carrier interference (ICI) and ICI mitigating equalizer,” U. S. patent 8 295 339, Oct. 23, 2012. 

3.       Guanghui Liu, “Method and apparatus for estimating sampling frequency offset, and sampling timing recovery loop including the apparatus,” U. S. patent 8 040 990, Oct. 18, 2011. 

4.       Guanghui Liu, “Channel estimation method and system using linear correlation based interference cancellation (LCIC) combined with decision-feedback-equalization (DFE),” U. S. patent 7 933 366, Apr. 26, 2011. 

5.       Guanghui Liu, “Channel estimation method and apparatus determining a channel impulse response (CIR) distribution area using two adjacent windows,” U. S. patent 7 869 545, Jan. 11, 2011. 

6.       Guanghui Liu, “Equalization method and apparatus for time domain synchronous orthogonal frequency division multiplexing receiver,” U. S. patent 7 792 203, Sep. 7, 2010. 

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