信息与软件工程学院（示范性软件学院）
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| 导师代码： |
10699
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| 导师姓名： |
匡平
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| 性 别： |
男 |
| 特 称： |
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| 职 称： |
研究员
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
88367345@qq.com
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| 学术经历：
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2006年至今 电子科技大学任教，研究员，博士导师，主要研究方向：大模型、人工智能、图形图像等；期间2008年大庆油田博士后工作站博士后，主要方向：企业信息化等；2009-2011年江苏省太仓市、四川省乐山市挂职；2016年英国BournemouthUniversity访问学者1年；
1996年—2006年 电子科技大学本硕博学习，计算机应用方向博士，主要研究方向：图像处理。
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| 个人简介：
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自2004年起，围绕“内容认知与传播的智能化仿真”这一科学问题，在内容感知、热点异常检测、追踪溯源、模型仿真等方面开展系统性创新与实践，针对内容跨模态异构数据“表征难”、热点异常内容深度“挖掘难”和传播效应精准“预测难”问题，原创提出以“统表”“智感”“预知”“精传”为核心要素的网络空间内容认知传播模型，主持并成功研制系列平台，推动媒体融合技术进步，获2024、2021年四川省科技进步奖二等奖（分别排名1、2），第一完成人获得2015、2017年四川省科技进步奖三等奖。获2019年四川省教学成果奖，二等奖。截至2025年10月，累计荣获四川省海外高层次留学人才、成都市2023创新领军人才，入选四川省第十三批学术和技术带头后备。中国创新创业大赛评审委员会委员、四川省科技服务业专家咨询委员会委员、四川省重大科技专项评审专家、成都市大数据行业专家、成都市电子政务咨询专家等。以第一作者发表SCI/EI收录学术论文84篇，第一发明人授权国家发明专利63件。著有专著：《计算机图形学》，人民邮电出版社，2019；《汇编语言程序设计》，清华大学出版社，2011。
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| 科研项目：
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[1]国家重点研发计划项目“融媒体服务技术研发与集成应用”，2019.12-2022.11，项目负责人
[2]军科委173基础加强重点项目“面向智能***********与稳态调节”， 2023.07-2025.07，项目负责人
[3]型号预研“基于任务****的分布式********仿真验证环境”，2022.12-2025.03，项目负责人
[4]型号预研“******自动执行与反馈技术研究”，2021.08-2023.09，项目负责人
[5]型号预研“面向***的全局态势***与***设计”，2022.12-2026.06，项目负责人
[6]1**预研“****优化调度与动态导调方法研究项目”，2023.12-2024.12，项目负责人
[7]北京机电工程研究所“基于任务****的分布式********仿真验证环境”，2023.12-2024.08，项目负责人
[8]四川省揭榜挂帅项目“高逼真数字人脸多模态AIGC驱动技术研发及示范应用”，2024.07-2027.06，项目负责人
[9]四川省科技成果转化项目“基于分布式智算架构的云服务信创适配及应用”，2024.01-2025.12，校内负责人
[10]四川省科技成果转化项目“车间智慧仓储物流成套装备及系统的研发应用”， 2024.01-2025.12，校内负责人
[11]四川省科技成果转化项目“面向能源装备智能制造工厂的工业互联智能平台产业化”， 2025.01-2026.12，校内负责人
[12]四川省科技成果转化项目“强适应性智能应急广播系统应用及产业化”， 2024.01-2025.12，校内负责人
[13]四川省科技成果转化项目“数字孪生可视化平台”，2023.01-2024.12，校内负责人
[14]四川省科技成果转化项目“融合高精度3D视觉的跨场景智慧服务平台应用及产业化”， 2023.01-2024.12，校内负责人
[15]四川省重点研发项目“算力枢纽的公共资源数据汇聚融合关键技术及服务平台研发”， 2023.01-2024.12，校内负责人
[16]四川省重点研发项目“能源装备工业互联网安全与智能管理平台关键技术研究与应用”， 2023.01-2024.12，校内负责人
[17]四川省省院省校项目“基于跨域大数据的医疗影像辅助诊疗平台研发”， 2022.01-2024.12，校内负责人
[18]四川省中央转移地方支付项目“基于深度学习的多模态数据自适应标注平台研发”， 2024.09-2025.08，校内负责人
[19]四川省工业领域设备更新和技术改造“智改数转”项目（省级重点项目）“智能干式变压器产业数字化供应链能力建设项目”， 2024.03-2025.11，校内负责人
[20]四川省科技厅科技省院省校项目“局部战争中目标识别情报数据管理与预警”，2023.1-2024.12，校内负责人
[21]四川省人工智能重大专项“面向开放共享的云深度学习专用平台”，2019.06-2022.05，项目负责人
[22]成都市科技局重点研发支撑计划项目“无线动中通的列车超视距行车辅助预警装备”， 2024.01-2025.12，校内负责人
[23]成都市科技局重点研发支撑计划项目“基于跨模态理解与应用的超大规模智能视频流处理平台”，2023.11-2024.12，校内负责人
[24]成都市科技局重点研发支撑计划项目“无偏见公安网络治理决策优化的关键技术研究与应用”，2024.09-2025.08，校内负责人
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| 研究成果：
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[1] P. Kuang, D. Luo, H. Wang, et al., "An improved calculation system for phase-functioned neural network and implementation in Unreal Engine," Cluster Comput, vol. 22, no. Suppl. 6, pp. 15505-15516, 2019, doi: 10.1007/s10586-018-2671-4.
[2] P. Kuang, D. Luo, and H. Wang, "Masked 3D conditional generative adversarial network for rock mesh generation," Cluster Comput, vol. 22, no. Suppl. 6, pp. 15471-15481, 2019, doi: 10.1007/s10586-018-2653-6.
[3] J. Yang, J. Shi, P. Kuang, Z. Feng, K. Xiong, and Y. Shi, "Enhancing Cybersecurity: A Proximal Policy Optimization Approach for Security Policy Optimization," in Proc. 2024 8th Int. Conf. Comput. Sci. Artif. Intell. (CSAI), 2025, pp. 614-620, doi: 10.1145/3709026.3709112.
[4] J. Yang, J. Shi, P. Kuang, Z. Feng, K. Xiong, and Y. Shi, "Hybrid ARIMA and DQN Approaches for Stabilizing Network Traffic Flows," in Proc. 2024 8th Int. Conf. Comput. Sci. Artif. Intell. (CSAI), 2025, pp. 585-593, doi: 10.1145/3709026.3709111.
[5] L. Yu, L. Guo, P. Kuang and F. Zhou, "Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences," ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10889057.
[6] L. Yu, L. Guo, P. Kuang, and F. Zhou, "Biases mitigation and expressiveness preservation in language models: A comprehensive pipeline (Student Abstract)," in Proc. AAAI Conf. Artif. Intell., vol. 38, no. 21, 2024, pp. 23701-23702, doi: 10.1609/aaai.v38i21.30532.
[7] L. Yu, F. Tian, P. Kuang, and F. Zhou, "Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)," in Proc. AAAI Conf. Artif. Intell., vol. 38, no. 21, 2024, pp. 23699-23700, doi: 10.1609/aaai.v38i21.30531.
[8] H. Guo, M. He, F. Li, K. He, and L. Chen, "MCFP: A multi-target 3D perception method with weak dependence on 2D detectors," Pattern Recogn. Lett., vol. 178, pp. 188-194, 2024, doi: 10.1016/j.patrec.2024.01.011.
[9] Kuang, Ping, Rongfan Li, Ying Huang, Jin Wu, Xucheng Luo, and Fan Zhou. 2022. "Landslide Displacement Prediction via Attentive Graph Neural Network" Remote Sensing 14, no. 8: 1919. https://doi.org/10.3390/rs14081919.
[10] G. Haoran, L. Fan, K. Ping and X. Gang, "M3E-Yolo: A New Lightweight Network for Traffic Sign Recognition," 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2022, pp. 1-6, doi: 10.1109/ICCWAMTIP56608.2022.10016618.
[11] Z. Hang, L. Fan, K. Ping, G. Xiaofeng, H. Mingyun and T. Heng, "Small Object Detection Algorithm Based on Context Information and Attention Mechanism," 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2022, pp. 1-6, doi: 10.1109/ICCWAMTIP56608.2022.10016586.
[12] Z. Hang, L. Fan, K. Ping, G. Xiaofeng, H. Mingyun and T. Heng, "Small Object Detection Algorithm Based on Context Information and Attention Mechanism," 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2022, pp. 1-6, doi: 10.1109/ICCWAMTIP56608.2022.10016586.
[13] T. Ma, W. Tian, P. Kuang, and Y. Xie, "An anchor-free object detector with novel corner matching method," Knowl.-Based Syst., vol. 224, p. 107083, 2021, doi: 10.1016/j.knosys.2021.107083.
[14] Y. Gao and P. Kuang, "Information propagation based on information value," 2021 International Conference on Culture-oriented Science & Technology (ICCST), Beijing, China, 2021, pp. 310-315, doi: 10.1109/ICCST53801.2021.00072.
[15] X. Li and P. Kuang, "3D-VRVT: 3D Voxel Reconstruction from A Single Image with Vision Transformer," 2021 International Conference on Culture-oriented Science & Technology (ICCST), Beijing, China, 2021, pp. 343-348, doi: 10.1109/ICCST53801.2021.00078.
[16] F. Xudong, G. Xiaofeng, K. Ping, L. Xianglong and Z. Yalou, "Pedestrian Detection and Tracking with Deep Mutual Learning," 2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2021, pp. 217-220, doi: 10.1109/ICCWAMTIP53232.2021.9674099.
[17] S. Shengyu, X. Gu, K. Ping and Y. Xu, "Elaboration on Occupancy Networks and Resizing Strategy," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 126-129, doi: 10.1109/ICCWAMTIP51612.2020.9317440.
[18] Y. Dongsheng, K. Ping and X. Gu, "3D Reconstruction based on GAT from a Single Image," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 122-125, doi: 10.1109/ICCWAMTIP51612.2020.9317527.
[19] S. Huaxin, X. Gu, K. Ping and H. Hongyu, "An Improved Kubernetes Scheduling Algorithm for Deep Learning Platform," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 113-116, doi: 10.1109/ICCWAMTIP51612.2020.9317317.
[20] L. Chenyang, X. Gu, K. Ping, F. Li and M. He, "A Human Head Detection Method Based on Center Point Estimation for Crowded Scene," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 105-108, doi: 10.1109/ICCWAMTIP51612.2020.9317399.
[21] X. Li, K. Ping, X. Gu and M. He, "3D Shape Reconstruction of Furniture Object from a Single Real Indoor Image," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 101-104, doi: 10.1109/ICCWAMTIP51612.2020.9317479.
[22] G. Yu, K. Ping, M. He, D. Qipeng and L. Chenyang, "MM-GCN: Multi-Mutual Learning Networks of Graph Convolution for Node Classification," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 97-100, doi: 10.1109/ICCWAMTIP51612.2020.9317458.
[23] D. Qipeng, K. Ping, F. Li, M. He and G. Yu, "Method of Safety Helmet Wearing Detection based on Key-Point Estimation Without Anchor," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2020, pp. 93-96, doi: 10.1109/ICCWAMTIP51612.2020.9317480.
[24] Guo, Wenxia, Ping Kuang, Yaqiu Jiang, Xiang Xu, and Wenhong Tian. “SAVE: Self-Adaptive Consolidation of Virtual Machines for Energy Efficiency of CPU-Intensive Applications in the Cloud.” Journal of Supercomputing 75, no. 11 (November 1, 2019): 7076–7100. doi:10.1007/s11227-019-02927-1.
[25] T. Ma, P. Kuang, and W. Tian, "An improved recurrent neural networks for 3D object reconstruction," Appl. Intell., vol. 50, pp. 905-923, 2020, doi: 10.1007/s10489-019-01523-3.
[26] R. FU, P. KUANG, Y. ZHOU, H. -R. YAN and T. -Y. ZHENG, "Area-Aware Reflection Detection and Removal for Single Image," 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, China, 2019, pp. 307-310, doi: 10.1109/ICCWAMTIP47768.2019.9067633.
[27] X. XIAO, P. KUANG, X. I. GU and M. HE, "Pedestrian Image Generation with Target Pose Based on the Improved Cyclegan," 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, China, 2019, pp. 174-177, doi: 10.1109/ICCWAMTIP47768.2019.9067578.
[28] L. PENG, P. KUANG, F. LI and X. GU, "An Efficient Person Reid Methed Based on Knowledge Distillation," 2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, China, 2019, pp. 13-16, doi: 10.1109/ICCWAMTIP47768.2019.9067557.
[29] P. Kuang et al, "Image super-resolution with densely connected convolutional networks," Appl. Intell., vol. 49, (1), pp. 125-136, 2019.
[30] P. Kuang, T. Ma, F. Li, and Z. Chen, "Real-Time Pedestrian Detection Using Convolutional Neural Networks," Int. J. Pattern Recognit. Artif. Intell., vol. 32, no. 11, p. 1856014, 2018, doi: 10.1142/S0218001418560141.
[31] M. He, X. Song, P. Kuang, F. Li and H. Wang, "Shadow Puppetry Classification Using Convolutional Neural Networks," 2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 2018, pp. 27-30, doi: 10.1109/ICCWAMTIP.2018.8632562.
[32] P. Kuang, W. Guo, X. Xu, H. Li, W. Tian and R. Buyya, "Analyzing Energy-Efficiency of Two Scheduling Policies in Compute-Intensive Applications on Cloud," in IEEE Access, vol. 6, pp. 45515-45526, 2018, doi: 10.1109/ACCESS.2018.2861462.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 083500软件工程 |
02工业软件，04智能计算，05云计算与大数据 |
博士学术学位 |
| 085400电子信息 |
01软件工程，02不区分研究方向（非全） |
博士专业学位 |
| 083500软件工程 |
04数字信息处理，05工业软件，06智能计算 |
硕士学术学位 |
| 085405软件工程 |
04数字信息处理，05工业软件，06智能计算 |
硕士专业学位 |
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