黄鹤

发布时间：2025-08-28浏览次数：3720

  • 1、Wenbo Yu, He Huang, Yi Shen, Lin Sun, Chongran Zhao, Gangxiang Shen, IamCSC: Intuitive assimilation modality driven crossmodal subspace clustering for land-cover identification and hyperspectral-LiDAR fusion, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, article no. 5505013, 2025.
  • 2、Xintong Wei, Wenbo Yu, He Huang, Lin Sun, Chongran Zhao, Gangxiang Shen, MAMInet II: Illumination insensitive modalitywise assimilation guided multistage interaction network for hyperspectral and LiDAR joint classification , IEEE Transactions on Geoscience and Remote Sensing, vol. 62, article no. 5539513, 2024.
  • 3、Jingwei Jiang and He Huang, Complex-valued soft-log threshold reweighting for sparsity of complex-valued convolutional neural networks , Neural Networks, vol. 180, article no. 106664, 2024.
  • 4、Wenbo Yu, Lianru Gao, He Huang, Yi Shen and Gangxiang Shen, PID-HLfusion: Pluggable progressive illumination driven hyperspectral and LiDAR data fusion considering crossmodal geometric structures , IEEE Transactions on Instrumentation and Measurement, vol. 73, article no. 2529316, 2024
  • 5、Wenbo Yu, He Huang, Yi Shen, Gangxiang Shen, Crossmodal sequential interaction network for hyperspectral and LiDAR data joint classification , IEEE Geoscience and Remote Sensing Letters, vol. 21, article no. 5503305, 2024.
  • 6、Zhidong Wang and He Huang, Second-order structure optimization of fully complex-valued neural networks , IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 3, pp. 2349-2363, 2024.
  • 7、Weijing Zhao and He Huang, Adaptive stepsize estimation based accelerated gradient descent algorithm for fully complex-valued neural networks, Expert Systems With Applications, vol. 236, article number 121166, 2024.
  • 8、Wenbo Yu, He Huang, Miao Zhang, Yi Shen and Gangxiang Shen, Shadow mask driven multimodal intrinsic image decomposition for hyperspectral and LiDAR data fusion, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, article no. 5525915, 2023.
  • 9、Wenbo Yu, Lianru Gao, He Huang, Yi Shen and Gangxiang Shen, HI2D2FNet: Hyperspectral intrinsic image decomposition guided data fusion network for hyperspectral and LiDAR classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, article no. 5521715, 2023.
  • 10、Yuelin Wang, Zhidong Wang and He Huang, Stochastic adaptive CL-BFGS algorithms for fully complex-valued dendritic neuron model, Knowledge-Based Systems, vol. 277, article number 110788, 2023.
  • 11、Huanhuan Li, Wenbo Yu and He Huang, Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout, Neural Networks, vol. 165, pp. 925-937, 2023.
  • 12、Yongliang Zhang, He Huang and Gangxiang Shen, Adaptive CL-BFGS algorithms for complex-valued neural networks, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 9, pp. 6313-6327, 2023.
  • 13、Wenbo Yu, He Huang and Gangxiang Shen, Deep spectral-spatial feature fusion based multi-scale adaptable attention network for hyperspectral feature extraction , IEEE Transactions on Instrumentation and Measurement, vol. 72, article no. 5500813, 2023.
  • 14、Ying Huang and He Huang, Stacked attention hourglass network based robust facial landmark detection, Neural Networks, vol. 157, pp. 323-335, 2023.
  • 15、Wenbo Yu, Miao Zhang, and He Huang, Accelerated adaptive feature balance technique based on TEMD for hyperspectral classification, IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 6012105, 2022.
  • 16、Wenbo Yu, He Huang and Gangxiang Shen, Multilevel dual-direction modifying variational autoencoders for hyperspectral feature extraction, IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 6010805, 2022.
  • 17、Jiamin Chu, Mingyi Gao, Xiaoli Liu, Meihua Bi, He Huang and Gangxiang Shen, Channel estimation based on complex-valued neural networks in IM/DD FBMC/OQAM transmission system, IEEE/OSA Journal of Lightwave Technology, vol. 40, no. 4, pp. 1055-1063, 2022.
  • 18、Lei Wang, Mingyi Gao, Yongliang Zhang, Fengchu Cao and He Huang, Optical phase conjugation with complex-valued deep neural network for WDM 64-QAM coherent optical systems, IEEE Photonics Journal, vol. 13, no. 5, 7200308, 2021.
  • 19、Zhongying Dong and He Huang, A training algorithm with selectable search direction for complex-valued feedforward neural networks, Neural Networks, vol. 137, pp. 75-84, 2021.
  • 20、Yongliang Zhang and He Huang, Adaptive complex-valued stepsize based fast learning of complex-valued neural networks, Neural Networks, vol. 124, pp. 233-242, 2020.
  • 21、He Huang, Tingwen Huang and Yang Cao, Reduced-order filtering of delayed static neural networks with Markovian jumping parameters, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no.11, pp. 5606-5618, 2018.
  • 22、He Huang, Tingwen Huang and Xiaoping Chen, Reduced-order state estimation of delayed recurrent neural networks, Neural Networks, vol. 98, pp. 59-64, 2018.
  • 23、Xusheng Qian, He Huang, Xiaoping Chen and Tingwen Huang, Efficient construction of sparse radial basis function neural networks using L1-regularization, Neural Networks, vol. 94, pp. 239-254, 2017.
  • 24、Xusheng Qian, He Huang, Xiaoping Chen and Tingwen Huang, Generalized hybrid constructive learning algorithm for multioutput RBF networks, IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3634-3648, 2017.
  • 25、Jinxiang Zha, He Huang and Yujie Liu, A novel window function for memristor model with application in programming analog circuits, IEEE Transactions on Circuits and Systems Part II, vol. 63, no. 5, pp. 423-427, 2016.
  • 26、He Huang, Tingwen Huang and Xiaoping Chen, Further result on guaranteed H∞ performance state estimation of delayed static neural networks, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 6, pp. 1335-1341, 2015.
  • 27、He Huang, Tingwen Huang, Xiaoping Chen and Chunjiang Qian, Exponential stabilization of delayed recurrent neural networks: A state estimation based approach, Neural Networks, vol. 48, pp. 153-157, 2013.
  • 28、He Huang, Tingwen Huang and Xiaoping Chen, A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays, Neural Networks, vol. 46, pp. 50-61, 2013.
  • 29、He Huang, Tingwen Huang and Xiaoping Chen, Guaranteed H∞ performance state estimation of delayed static neural networks, IEEE Transactions on Circuits and Systems Part II, vol. 60, no. 6, pp. 371-375, 2013.
  • 30、He Huang, Tingwen Huang and Xiaoping Chen, Global exponential estimates of delayed stochastic neural networks with Markovian switching, Neural Networks, vol. 36, no. 1, pp. 136-145, 2012.
  • 31、He Huang, Gang Feng and Xiaoping Chen, Stability and stabilization of Markovian jump systems with time delay via new Lyapunov functionals, IEEE Transactions on Circuits and Systems Part I: Regular Papers, vol. 59, no. 10, pp. 2413-2421, 2012.
  • 32、He Huang, Gang Feng and Jinde Cao, State estimation for static neural networks with time-varying delay, Neural Networks, vol. 23, no. 10, pp. 1202-1207, 2010.
  • 33、He Huang and Gang Feng, A scaling parameter approach to delay-dependent state estimation of delayed neural networks, IEEE Transactions on Circuits and Systems Part II, vol. 57, no. 1, pp. 36-40, 2010.
  • 34、He Huang and Gang Feng, Synchronization of nonidentical chaotic neural networks with time delays, Neural Networks, vol. 22, pp. 869-874,2009.
  • 35、He Huang and Gang Feng, Delay-dependent H∞ and generalized H2 filtering for delayed neural networks, IEEE Transactions on Circuits and Systems Part I: Regular Papers, vol. 56, no. 4, pp. 846-857, 2009.
  • 36、He Huang, Gang Feng and Jinde Cao, Robust state estimation for uncertain neural networks with time-varying delay, IEEE Transactions on Neural Networks, vol. 19, no. 8, pp. 1329-1339, 2008.
  • 37、He Huang, Daniel W. C. Ho and Yuzhong Qu, Robust stability of stochastic delayed additive neural networks with Markovian switching, Neural Networks, vol. 20, no. 7, pp. 799-809, 2007.
  • 38、He Huang, Daniel W. C. Ho and James Lam, Stochastic stability analysis of fuzzy Hopfield neural networks with time-varying delay, IEEE Transactions on Circuits and Systems Part II, vol. 52, no. 5, pp. 251-255, 2005.
  • 39、He Huang, Daniel W. C. Ho and Jinde Cao, Analysis of global exponential stability and periodic solutions of neural networks with time-varying delays, Neural Networks, vol. 18, no. 2, pp. 161-170, 2005.