专著：
Qiang Ling. Control Systems with Limited Feedback Information.
ISBN: 978-3639130720, VDM Verlag, Apr. 2009.
代表性杂志论文：
2024
[1] Tangjie Wu, Qiang Ling*. “Mixformer:
Mixture transformer with hierarchical context for spatio-temporal wind speed
forecasting”. Energy Conversion and Management, vol. 299:
117896, 2024.
[2] Adeel Feroz Mirza, Zhaokun Shu, Muhammad Usman, Majad Mansoor, Qiang Ling*.
“Quantile-Transformed Multi-Attention Residual Framework (QT-MARF) for Medium-term PV and Wind Power
Prediction”. Renewable
Energy, vol. 220: 119604, 2024.
[3] Maryam Ejaz, Qiang Ling*. “A new
metaheuristic honey badger-based maximum energy harvesting algorithm for
thermoelectric generation system under dynamic operating conditions”. Soft Computing, vol. 28:
4951–4966, 2024.
[4] Muhammad Usman, Muhammad Zaka-Ud-Din, Qiang Ling*. “Enhanced
encoder–decoder architecture for visual perception multitasking of autonomous
driving”. Expert Systems with Applications, vol. 246:
123249, 2024.
[5] Yuan Liu, Qiang Ling*. “Event-triggered stabilization
of linear systems under quantization and denial-of-service attacks”. International
Journal of Robust and Nonlinear Control, vol. 34(2):
1196-1216, 2024.
[6] Xiangsheng Li, Manlu Liu*, Qiang Ling. “Pixel-Wise Gamma
Correction Mapping for Low-Light Image Enhancement”. IEEE Trans. on
Circuits and Systems for Video Technology, vol. 34(2):
681-694, 2024.
[7] Zefeng Lai, Tangjie Wu, Xihong Fei, Qiang Ling*. “BERT4ST:
Fine-tuning pre-trained large language model for wind power forecasting”. Energy Conversion
and Management, vol 307: 118331, 2024.
2023
[1] Na Lin, Qiang Ling*. “Dynamic Periodic
Event-Triggered Consensus Protocols for Linear Multiagent Systems with Network
Delay”. IEEE
Systems Journal, vol. 17(1): 1204-1215, 2023.
[2] Chenyi Wang, Qiang Ling*.
Dynamic event-triggered output feedback control for networked Markovian jump
systems under hybrid attacks. Journal of
the Franklin Institute, vol. 36(18): 14614-14629, 2023.
[3]
Yufei Niu, Qiang Ling*. “Event-triggered sliding mode control for networked
linear systems”. Journal
of the Franklin Institute, vol. 360: 1978-1999, 2023.
[4] Xihong Fei, Qiang Ling*. “Attention-based
Global and Local Spatial-Temporal Graph Convolutional Network for Vehicle Emission
Prediction”. Neurocomputing, vol. 521: 41-55,
2022.
[5] Xihong Fei, Zefeng Lai, Yi Fang*, Qiang Ling. “A Dual Attention-based Fusion Network for Long- and Short-Term Multivariate Vehicle Exhaust Emission Prediction”. Science of the Total Environment, vol. 860: 160490, 2023.
[6] Tangjie Wu, Qiang Ling*. “Self-supervised
heterogeneous hypergraph network for knowledge tracing”. Information
Sciences, vol. 624: 200-216, 2023.
[7] Tangjie Wu, Qiang Ling*. “Fusing
hybrid attentive network with self-supervised dual-channel heterogeneous graph
for knowledge tracing”. Expert Systems
with Applications, vol. 225: 120212, 2023.
[8] Ce Zhou, Qiang Ling*. “GAF-Net: Geometric
Contextual Feature Aggregation and Adaptive Fusion for Large-Scale Point Cloud Semantic
Segmentation”. IEEE Trans. on Geoscience and Remote
Sensing, vol. 61:
5705815, 2023.
[9] Jian Wang, Qiang Ling*, Peiyan Li. “Robust
Video Stabilization based on Motion Decomposition”. ACM Trans.
Multimedia Comput. Commun. Appl. , vol. 19(5): 164, 2023.
[10] Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, Qiang Ling*. “Hybrid
Inception-embedded deep neural network ResNet for short and medium-term PV-Wind
forecasting”. Energy
Conversion and Management, vol. 294: 117574, 2023.
[11] Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, Qiang Ling*. “A comprehensive
approach for PV wind forecasting by using hyperparameter tuned GCVCNN-MRNN deep
learning model”. Energy, vol. 283:
129189, 2023.
[12] Zefeng Lai, Qiang Ling*. “A dual
spatio-temporal network for short-term wind power forecasting”. Sustainable Energy
Technologies and Assessments, vol. 60: 103486, 2023.
[13] Majad Mansoor, Adeel Feroz Mirza, Muhammad Usman, Qiang Ling*. “Hybrid
forecasting models for wind-PV systems in diverse geographical locations:
Performance and power potential analysis”. Energy Conversion and Management, vol. 287:
117080, 2023.
2022
[1] Yuan Liu, Qiang Ling*. “Stabilizing bit
rate conditions for a scalar linear event-triggered system with Markov dropouts”. Automatica, vol. 146: 110635,
2022.
[2] Shaojie Lan, Qiang Ling*. “Event-triggered
stabilization of multi-dimensional nonlinear systems under communication
constraints”. International Journal of Robust and
Nonlinear Control, vol. 32(2): 1004-1025, 2022.
[3] Na Lin, Qiang Ling*. “Bit-Rate
Conditions for the Consensus of Quantized Multiagent Systems Based on Event
Triggering”. IEEE Trans. on Cybernetics, vol. 52(1):
116-127, 2022.
[4] Xianghua Jiang, Qiang Ling*. “Event-triggered Stabilization
of a Linear System with Model Uncertainty and i.i.d. Feedback Dropouts”. IEEE Trans. on Cybernetics, vol. 52(2): 796-809,
2022.
[5] Yuan Liu, Qiang Ling*. “Event-Triggered
Stabilizing Bit Rate Conditions for an n-Dimensional Linear System with i.i.d.
Feedback Dropouts”. IEEE Trans. on Cybernetics, vol. 52(8): 8032-8046,
2022.
[6] Yuan Liu, Qiang Ling*. “Quantized
stabilization of event‐triggered systems
under independent and identical distributed packet dropouts”. International
Journal of Robust and Nonlinear Control, vol. 32(14):
7860-7878, 2022.
[7] Na Lin, Qiang Ling*. “An event-triggered
consensus protocol for quantized second-order multi-agent systems with network
delay and process noise”. ISA Transactions, vol. 125, 31-41,
2022.
[8] Rui Chen, Jin Zhu*, Qiang Ling. “Event-triggered
stabilization of uncertain scalar switched linear systems with bounded network
delay”. ISA
Transactions, vol. 129: 28-40, 2022.
[9] Chunlin Chen,
Jun Yu, Qiang Ling*.Sparse Attention Block: Aggregating Contextual
Information for Object Detection, Pattern
Recognition, vol. 124, 108418, 2022.
2021
[1] Jiayu Chen, Qiang Ling*. “Bit-rate
Conditions for the Consensus of Quantized Multiagent Systems with
Network-Induced Delays based on Event Triggering”. IEEE Trans. on Cybernetics, vol. 51(2), 984-993,
2021.
[2] Rundong Dou, Qiang Ling*. “Model-Based
Periodic Event-Triggered Control Strategy to Stabilize a Scalar Nonlinear
System”. IEEE
Trans. on Systems, Man, and Cybernetics: Systems, vol. 51(9):
5322-5335, 2021.
[3] Menglei Zhang, Qiang Ling*. Bilateral
Upsampling Network for Single Image Super-Resolution with Arbitrary Scaling
Factors, IEEE
Trans. on Image Processing, vol. 30, 4395-4408, 2021.
[4] Feng Tang, Qiang
Ling*. Learning to Rank Proposals for Siamese Visual Tracking, IEEE Trans. on
Image Processing, vol. 30: 8785-8796, 2021.
[5] Menglei Zhang, Qiang Ling*.
Supervised Pixel-Wise GAN for Face Super-Resolution, IEEE Transactions on
Multimedia，vol. 23,
1938-1950, 2021.
[6] Minda Zhao, Qiang
Ling*. Adaptively Meshed Video Stabilization, IEEE Trans. on Circuits and Systems for
Video Technology, vol. 31(9), 3504 - 3517, 2021.
[7] Zefeng Lai,
Lei Wang*, Qiang Ling. Recurrent Knowledge Tracing Machine based on the
Knowledge State of Students, Expert Systems, vol. 38(11), e12782, 2021.
[8] Majad Mansoor, Adeel Feroz Mirza, Shihui Duan, Jin Zhu, Baoqun Yin, Qiang Ling*. “Maximum energy
harvesting of centralized thermoelectric power generation systems with non-uniform
temperature distribution based on novel equilibrium optimizer”. Energy
Conversion and Management, vol. 246: 114694, 2021.
[9] Adeel Feroz Mirza, Majad Mansoor, Keyu Zhan, Qiang Ling*. “High-Efficiency
Swarm Intelligent Maximum Power Point Tracking Control Techniques for Varying
Temperature and Irradiance”. Energy, vol. 228:
120602, 2021.
[10] Majad Mansoor, Adeel Feroz Mirza, Fei Long, Qiang Ling*. “An Intelligent
Tunicate Swarm Algorithm based MPPT control strategy for Multiple
Configurations of PV systems under Partial Shading Conditions”. Advanced
Theory and Simulations, vol. 4(12),
2100246, 2021.
2020
[1] Qiang Ling. “Necessary and sufficient bit rate conditions to
stabilize a scalar continuous-time LTI system based on event triggering”. IEEE
Trans. on Automatic Control, vol. 65(4): 1598–1612, 2020.
[2] Na Lin, Rundong Dou, Qiang Ling*. “Bit rate
conditions to stabilise a scalar linear system with measurement noise based on
event triggering”. International Journal of Systems Science, vol. 51(4):
655-668, 2020.
[3] Muhammad Imran Shahid, Qiang Ling*. “Event-triggered
distributed dynamic output-feedback dissipative control of multi-weighted and
multi-delayed large-scale systems”. ISA Transactions, vol. 96:116-131,
2020.
[4] Muhammad Imran Shahid, Qiang Ling*. “Event-triggered
distributed fault detection and control of multi-weighted and multi-delayed
large-scale systems”. Journal of the Franklin Institute, vol. 357(10): 6041-6082, 2020.
[5] Rundong Dou, Qiang Ling*, Yuan Liu, Jiayu
Chen, Shijian Shen. “Sufficient Stabilizing Bit Rate Conditions
for an n-Dimensional Nonlinear System Based on Event Triggering”. ISA
Transactions, vol. 105, 146-156, 2020.
[6] Rui Chen, Qiang Ling*. “Event-triggered
feedback stabilisation of switched linear systems under finite bit
rates”. IET
Control Thoery & Applications, vol. 14(20),
3428-3439, 2020.
[7] Minda Zhao, Qiang
Ling*. PWStableNet: Learning Pixel-Wise Warping Maps for Video
Stabilization, IEEE
Trans. on Image Processing, vol. 29: 3582 – 3595, 2020.
[8] Feng Tang, Qiang
Ling*. Contour-Aware Long-term Tracking with Reliable Re-detection, IEEE Trans. on
Circuits and Systems for Video Technology, vol. 30(12),
4739-4754, 2020.
[9] Majad Mansoor, Adeel Feroz Mirza, Qiang Ling*, M.Yaqoob Javed. “Novel Grass Hopper
optimization based MPPT of PV systems for complex partial shading conditions”. Solar Energy, vol. 198:
499-518, 2020.
[10] Majad Mansoor, Adeel Feroz Mirza, Qiang Ling*. “Harris Hawk
Optimization-based MPPT Control for PV Systems under Partial Shading Conditions”. Journal of
Cleaner Production, vol. 274: 122857, 2020.
[11] Adeel Feroz Mirza, Majad Mansoor, Qiang Ling*, Baoqun Yin, M.Yaqoob Javed. “A Salp-Swarm
Optimization based MPPT technique for harvesting maximum energy from PV systems
under partial shading conditions”. Energy Conversion and Management, vol. 209: 112625,
2020.
[12] Adeel Feroz Mirza, Majad Mansoor, Qiang Ling*. “A Novel MPPT
Technique based on Henry Gas Solubility Optimization”. Energy
Conversion and Management, vol. 225: 113409, 2020.
2019
[1] Qiang Ling. “Periodic Event-Triggered Quantization Policy Design
for a Scalar LTI System with i.i.d. Feedback Dropouts”. IEEE
Trans. on Automatic Control, vol. 64(1): 343–350, 2019.
[2] Qiang Ling*, Rui Chen and Rundong Dou, “Bit rate conditions to
stabilize an uncertain scalar continuous-time linear system with clock offset”,
International Journal of Robust and
Nonlinear Control, vol. 29(12), 4209-4227, 2019.
[3] Jiayu Chen, Qiang Ling*. “A robust
quantized consensus protocol for discrete-time multi-agent systems with
additive noise”. ISA Transactions, vol. 86:
29-38, 2019.
[4] Jiayu Chen, Qiang Ling*. “Robust quantized
consensus of discrete multi-Agent
systems under
input Saturation”. Journal of the Franklin Institute, vol. 356(5):
2934-2959, 2019.
[5] Rundong Dou, Jiayu Chen, Qiang Ling*. “Sufficient Bit
Rate Conditions to Stabilize an Uncertain Scalar Nonlinear System Based on
Event Triggering”. Journal of the Franklin Institute, vol. 356(12): 6106-6144,
2019.
[6] Qiang Ling*, Minda Zhao. “Stabilization
of Traffic Videos based on both Foreground and Background Feature Trajectories”. IEEE Trans. on
Circuits and Systems for Video Technology, vol. 29(8),
2215 – 2228, 2019.
[7] Chunlin Chen, Qiang
Ling*. Adaptive Convolution for Object Detection, IEEE Transactions on
Multimedia, vol. 21(12), 3205 – 3217, 2019.
[8] Minda Zhao, Qiang Ling*, Feng
Li. “An Iterative Feedback-Based Change
Detection Algorithm for Flood Mapping in SAR Images”. IEEE Geoscience
and Remote Sensing Letters, vol. 16(2), 231 - 235, 2019.
[9] Feng Tang, Qiang
Ling*. Spatial-aware correlation filters with adaptive weight maps for
visual tracking, Neurocomputing, vol. 358, 369-384,
2019.
[10] Adeel Feroz Mirza, Qiang Ling*, M.Yaqoob Javed, Majad Mansoor. “Novel MPPT
Techniques for Photovoltaic Systems under Uniform Irradiance and Partial
Shading”. Solar
Energy, vol. 184: 628-648, 2019.
2018
[1] Qiang Ling. “Bit-Rate Conditions to Stabilize a Continuous-Time
Linear System with Feedback Dropouts”. IEEE
Trans. on Automatic Control, vol. 63(7), 2176-2183, 2018.
[2] Qiang Ling, Sibin Deng, Feng
Li, Qinghua Huang and Xuelong Li. “A
Feedback-Based Robust Video Stabilization Method for Traffic Videos”. IEEE Trans. on
Circuits and Systems for Video Technology, vol. 28(3),
561 – 572, 2018.
[3] Kaikai Song, Ting Yao, Qiang Ling*, Tao Mei.. “Boosting
image sentiment analysis with visual attention”. Neurocomputing, 312, 218-228, 2018.
2017
[1] Qiang Ling. “Bit
Rate Conditions to Stabilize a Continuous-Time Scalar Linear System Based on
Event Triggering”. IEEE Trans. on Automatic Control,
vol. 62(8), 4093 – 4100, 2017.
[2] Qiang Ling*,
Zhe Yan, Haibo Ji, Yong Wang and
Yongchun Xie, “Sufficient Conditions to Stabilize Time-varying Nonlinear
Sampled-data Systems via Approximation”, International
Journal of Robust and Nonlinear Control, vol. 27(1),
108-120, 2017.
[3] Qiang Ling*, Wei Zheng and
Hai Lin. “An Iterative Method for Control Gain
Design of Multi-Agent Systems with Process Noise”. IEEE
Trans. on Control Systems Technology, vol. 25(5), 1905 – 1911, 2017.
授权发明专利：
[P1] 凌强，宋凯凯，李朝辉，李峰. “一种基于小波萎缩的磁共振图像去噪方法”，发明专利，授权日期：2016.2.17，专利号：ZL201310618438.1。
[P2] 凌强，严金丰，张逸成，李峰，徐理想.“ 一种基于反馈的运动物体分割的图像处理方法”，发明专利，授权日期：2016.3.9，专利号：ZL201310283658.3。
[P3] 凌强，严金丰，张逸成，李峰，徐理想.“一种基于多高斯模型的助力车检测方法”，发明专利，授权日期：2016.3.9，专利号：ZL201310285712.8。
[P4] 凌强，李朝辉，宋凯凯，李峰.“一种基于正则化的MRI图像非均匀性校正方法”，发明专利，授权日期：2016.3.30，专利号：ZL201310618046.5。
[P5] 凌强，李朝辉，宋凯凯，李峰.“一种基于多组织区域拟合的MRI线圈灵敏度估计方法”，发明专利，授权日期：2016.4.13，专利号：ZL201310617979.2。
[P6] 凌强，张逸成，徐理想，严金丰，李峰.“一种基于多特征与多帧信息融合的助力车检测方法”，发明专利，授权日期：2016.5.25，专利号：ZL201310283129.3。
[P7] 凌强，俞昭华，史盟钊，李峰.“一种基于目标信号相对未知配对的传感器网络数据关联方法”，发明专利，授权日期：2016.8.17，专利号：ZL201310632035.2。
[P8] 凌强，李朝辉，李峰.“一种基于逐行梯度拟合的MRI非均匀场估计方法”，发明专利，授权日期：2017.2.22，专利号：ZL201410778958.3。
[P9] 凌强，李佳桐，李峰.“一种基于Haar‑like特征的司机面部特征快速检测方法”，发明专利，授权日期：2017.3.29，专利号：ZL201410163867.9。
[P10] 凌强，杜彬彬，李峰.“一种基于十字检测的栅格状雷达检测方法”，发明专利，授权日期：2017.5.17，专利号：ZL201410393513.3。
[P11] 凌强，李朝辉，李峰.“一种基于图像梯度拟合的MRI非均匀场估计方法”，发明专利，授权日期：2017.6.27，专利号：ZL201410779041.5。
[P12] 凌强，李佳桐，李峰，邓思斌. “一种摄像头曝光时间的调节方法”，发明专利，授权日期：2017.7.11，专利号：ZL201410126244.4。
[P13] 李峰，李佳桐，凌强. “一种驾驶员视线方向的检测方法”，发明专利，授权日期：2017.8.29，专利号：ZL201410103324.8。
[P14] 凌强，赵敏达，李峰，杜彬彬，郑烇. “一种基于颜色、位置聚类和角点检测的栅格状雷达的检测方法”，发明专利，授权日期：2018.4.10，专利号：ZL201410395226.6。
[P15] 凌强，朱学俊，邓思斌，李博伦，李峰. “一种基于暗原色先验的交通视频实时去雾的方法”，发明专利，授权日期：2018.4.3，专利号：ZL201510447336.7。
[P16] 凌强，朱学俊，陈春霖，李峰. “一种改进的快速去雾方法”，发明专利，授权日期：2018.12.14，专利号：ZL201510923653.1。
[P17] 凌强，邓思斌，刘刚，李峰. “一种背景轨迹找回方法和装置”，发明专利，授权日期：2019.1.11，专利号：ZL201610403675.X。
[P18] 凌强，张雷，徐骏. “一种基于Openwrt路由器的实时摄像头监控方法”，发明专利，授权日期：2019.2.1，专利号：ZL201610268619.X。
[P19] 凌强，陈春霖，朱学俊，李峰. “一种基于暗通道先验的自适应图像去雾方法”，发明专利，授权日期：2019.2.1，专利号：ZL201610546823.3。
[P20] 凌强，杜彬彬，李峰. “一种用于图像检索的查询图像特征裁剪方法”，发明专利，授权日期：2019.3.1，专利号：ZL201610034219.2。
[P21] 凌强，单廷佳，李峰. “一种基于CNN的快速图像检索方法”，发明专利，授权日期：2019.3.1，专利号：ZL201610211503.2。
[P22] 凌强，邓思斌，刘刚，李峰，龙飞. “一种自适应的背景轨迹提取方法和装置”，发明专利，授权日期：2019.5.17，专利号：ZL201610403692.3。
[P23] 凌强，邓思斌，刘刚，李峰. “一种基于反馈的前景轨迹判定方法和装置”，发明专利，授权日期：2019.5.17，专利号：ZL201610403691.9。
[P24] 凌强，张梦磊，李峰. “一种基于正交匹配追踪算法的核磁共振T2谱反演方法”，发明专利，授权日期：2019.7.23，专利号：ZL201610525797.6。
[P25] 凌强，陈春霖，朱学俊，李峰. “一种基于暗通道先验的图像去雾透射率优化方法”，发明专利，授权日期：2020.1.3，专利号：ZL201610546825.2。
[P26] 凌强，张强，李峰，康宇. “一种基于支持向量回归的车辆尾气浓度反演方法”，发明专利，授权日期：2020.1.3，专利号：ZL201710732914.0。
[P27] 凌强，赵敏达，李峰. “一种基于反馈和迭代的雷达图像差异检测方法”，发明专利，授权日期：2020.2.7，专利号：ZL201711303801.5。
[P28] 凌强，陈春霖，李峰. “一种基于深度学习的能见度检测方法”，发明专利，授权日期：2020.4.3，专利号：ZL201710732921.0。
[P29] 凌强，张强，李峰，康宇. “一种基于深层次神经网络的车辆尾气浓度反演方法”，发明专利，授权日期：2020.4.3，专利号：ZL201710732880.5。
[P30] 凌强，汤峰，李峰. “一种针对遮挡的相关滤波目标跟踪方法”，发明专利，授权日期：2020.12.25，专利号：ZL201910052347.3。
[P31] 凌强，赵敏达. “一种基于特征轨迹的交通视频去抖方法”，发明专利，授权日期：2021.3.9，专利号：ZL201810442949.5。
[P32] 凌强，赵敏达，李峰. “一种基于深度学习的视频去抖方法”，发明专利，授权日期：2021.5.7，专利号：ZL201910670613.9。
[P33] 凌强，杜彬彬，李峰. “一种基于特征差异性的改进图像搜索方法”，发明专利，授权日期：2021.7.6，专利号：ZL201610077573.3。
[P34] 凌强，费习宏，李峰. “一种基于改进的Stacking模型的车辆尾气浓度估计方法”，发明专利，授权日期：2021.7.6，专利号：ZL201911211562.X。
[P35] 凌强，费习宏，李峰. “一种基于CatBoost模型的车辆尾气浓度超标判别方法”，发明专利，授权日期：2021.7.6，专利号：ZL201911392959.3。
[P36] 凌强，周策. “一种基于自适应选择领域的点云分类和分割方法及系统”，发明专利，授权日期：2022.9.2，专利号：ZL202110693032.4。
[P37] 凌强，陈春霖，李峰. “一种基于自适应卷积的快速目标检测方法”，发明专利，授权日期：2022.9.2，专利号：ZL201910136780.5。
[P38] 凌强，陈春霖，李峰. “一种基于动态原型特征融合的少样本目标检测方法及系统”，发明专利，授权日期：2022.9.2，专利号：ZL202110511625.4。
[P39] 凌强，汤峰，李峰. “一种智能排序候选框的目标跟踪方法及系统”，发明专利，授权日期：2022.9.6，专利号：ZL202110008485.9。
[P40] 凌强，刘彬辉. “一种基于车道结构先验的车道线检测方法及系统”，发明专利，授权日期：2022.9.6，专利号：ZL202110654503.0。
[P41] 凌强，费习宏，李峰. “基于时空卷积网络的机动车尾气遥测数据的多重补全方法”，发明专利，授权日期：2022.9.6，专利号：ZL202110694200.1。
[P42] 凌强，汤峰，李峰. “长期目标跟踪方法”，发明专利，授权日期：2022.9.6，专利号：ZL201911155393.2。
[P43] 凌强，张梦磊，李峰. “一种基于有监督逐像素生成对抗网络的人脸超分辨率方法”，发明专利，授权日期：2022.9.30，专利号：ZL201910879159.8。
[P44] 凌强，张梦磊，李峰. “一种基于身份先验生成对抗网络的人脸超分辨率重建方法”，发明专利，授权日期：2022.9.30，专利号：ZL201910879168.7。
[P45] 凌强，费习宏，李峰. “基于多组件融合时间网络的车辆尾气排放预测方法及系统”，发明专利，授权日期：2022.10.28，专利号：ZL202011507315.7。
[P46] 凌强，代淇源，李峰，许永华. “一种基于深度学习的驾驶员疲劳驾驶实时检测方法及系统”，发明专利，授权日期：2023.6.20，专利号：ZL202110705480.1。
[P47] 凌强，赖泽锋，李峰. “一种基于预估的以总路程最短为指标的导弹车调度方法”，发明专利，授权日期：2023.6.20，专利号：ZL201910199264.7。
[P48] 凌强，赖泽锋，李峰. “一种基于预估的以用时最短为指标的导弹车调度方法”，发明专利，授权日期：2023.6.20，专利号：ZL201910198564.3。
[P49] 凌强，赖泽锋，李峰，方毅. “基于多尺度双时空网络区域风力发电功率预测方法及系统”，发明专利，授权日期：2023.10.20，专利号：ZL 202310686515.0。
[P50] 凌强，赖泽锋，李峰，方毅. “一种次日光伏发电预测方法及系统”，发明专利，授权日期：2024.2.9，专利号：ZL202311308769.5。
[P51] 凌强，费习宏，李峰. “基于全局和局部时空图卷积的车辆尾气预测方法及系统”，发明专利，授权日期：2024.213，专利号：ZL202110718934.9。
[P52] 凌强，赖泽锋. “一种基于深度学习的智能教学系统”，发明专利，授权日期：2024.4.2，专利号：ZL202110044820.0。
[P53] 凌强，张梦磊，李峰. “一种基于双边上采样网络的任意倍数图像超分辨率重建方法”，发明专利，授权日期：2024.4.2，专利号：ZL202011229051.3。
授权美国专利：
[P1] Qiang
Ling, M. Fatih Erden，Alexei H. Sacks and Sundeep Chauhan, “Null
Servo Pattern for Bit-Pattened Media”, 专利号：7706092,
美国专利局，授权日期：2010.4.27。
[P2]
Darren W. Karns, Mark D. Bedillion, Qiang Ling and M. Fatih Erden，“Servo
Sector Format with Large Lithographic Tolerances”, 专利号：7576942
, 美国专利局，授权日期：2009.8.18。
[P3] Qiang
Ling and M. Fatih Erden，
“Compensating
the Effects of Non-Synchronous Writing of Erasable Servo Marks”, 专利号：8023392
, 美国专利局，授权日期：2011.9.20。
[P4]
Qiang Ling and M. Fatih Erden，“Low Complexity
Servo Demodulation Algorithm for Probe Storage”, 申请号：20090086360 , 美国专利局，公示日期：2009.4.2。