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2020 – today
- 2021
[j66]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao
:
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133: 148-156 (2021)- [j65]Jie Ding, Changyun Wen, Guoqi Li, Zhenghua Chen:
Key Nodes Selection in Controlling Complex Networks via Convex Optimization. IEEE Trans. Cybern. 51(1): 52-63 (2021) - [j64]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie:
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 348-362 (2021) - 2020
- [j63]Jiangshuai Huang, Wei Wang, Changyun Wen, Jing Zhou, Guoqi Li:
Distributed adaptive leader-follower and leaderless consensus control of a class of strict-feedback nonlinear systems: a unified approach. Autom. 118: 109021 (2020) - [j62]Cheng Ma, Qi Zhao, Guoqi Li, Lei Deng, Guanrui Wang:
A deadlock-free physical mapping method on the many-core neural network chip. Neurocomputing 401: 327-337 (2020) - [j61]Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li:
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409: 103-118 (2020) - [j60]Jiaqi Yan, Fanghong Guo, Changyun Wen, Guoqi Li:
Parallel alternating direction method of multipliers. Inf. Sci. 507: 185-196 (2020) - [j59]Guoqi Li, Pei Tang, Xumin Chen, Gaoxi Xiao, Min Meng, Cheng Ma, Luping Shi:
Target control and expandable target control of complex networks. J. Frankl. Inst. 357(6): 3541-3564 (2020) - [j58]Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li, Zhen Wang:
Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays. J. Frankl. Inst. 357(11): 6899-6917 (2020) - [j57]Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi:
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55(8): 2228-2246 (2020) - [j56]Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li:
Software defect prediction based on correlation weighted class association rule mining. Knowl. Based Syst. 196: 105742 (2020) - [j55]Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie:
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121: 294-307 (2020) - [j54]Yukuan Yang, Lei Deng, Shuang Wu, Tianyi Yan, Yuan Xie, Guoqi Li:
Training high-performance and large-scale deep neural networks with full 8-bit integers. Neural Networks 125: 70-82 (2020) - [j53]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Compressing 3DCNNs based on tensor train decomposition. Neural Networks 131: 215-230 (2020) - [j52]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. Neural Networks 132: 108-120 (2020) - [j51]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid tensor decomposition in neural network compression. Neural Networks 132: 309-320 (2020) - [j50]Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie:
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. Proc. IEEE 108(4): 485-532 (2020) - [j49]Jiangshuai Huang, Wei Wang, Changyun Wen, Guoqi Li:
Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering. IEEE Trans. Autom. Control. 65(1): 318-324 (2020) - [j48]Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li:
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [j47]Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi:
Target Control of Directed Networks based on Network Flow Problems. IEEE Trans. Control. Netw. Syst. 7(2): 673-685 (2020) - [j46]Yue Zhou, Guoqi Li, Huiqi Li:
Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition. IEEE Trans. Medical Imaging 39(2): 436-446 (2020) - [j45]Jie Ding, Changyun Wen, Guoqi Li, Xulei Yang, Tianjiang Hu:
Sparsity-Inspired Optimal Topology Control of Complex Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1825-1839 (2020) - [j44]Nan Wu, Lei Deng, Guoqi Li, Yuan Xie:
Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 26(2): 11:1-11:27 (2020) - [j43]Guoqi Li, Fei Zeng, Huiqi Li, Alex Kai Qin:
Matrix Function Optimization Problems Under Orthonormal Constraint. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 802-814 (2020) - [c32]Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie:
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD 2020: 60:1-60:9 - [c31]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. NeurIPS 2020 - [i30]Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. CoRR abs/2001.00254 (2020) - [i29]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR abs/2001.01587 (2020) - [i28]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences. CoRR abs/2005.02183 (2020) - [i27]Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi:
Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR abs/2006.03226 (2020) - [i26]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid Tensor Decomposition in Neural Network Compression. CoRR abs/2006.15938 (2020) - [i25]Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. CoRR abs/2008.09342 (2020) - [i24]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. CoRR abs/2010.11714 (2020) - [i23]Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. CoRR abs/2011.05280 (2020) - [i22]Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang:
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. CoRR abs/2011.06176 (2020) - [i21]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and Inference for Integer-Based Semantic Segmentation Network. CoRR abs/2011.14504 (2020)
2010 – 2019
- 2019
- [j42]Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan, Ateeq Ur Rehman, Guoqi Li, Gaoxi Xiao:
Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform. IEEE Access 7: 127678-127692 (2019) - [j41]Yong Zhou, Qiang Fang, Kuang Zhao, Dengqing Tang, Han Zhou, Guoqi Li, Xiaojia Xiang, Tianjiang Hu:
Robust Task-Oriented Markerless Extrinsic Calibration for Robotic Pick-and-Place Scenarios. IEEE Access 7: 127932-127942 (2019) - [j40]Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan, Ateeq Ur Rehman, Inam Ullah, Guoqi Li, Gaoxi Xiao:
Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain-Computer Interfaces. IEEE Access 7: 171431-171451 (2019) - [j39]Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li:
Controllability of Markovian jump Boolean control networks. Autom. 106: 70-76 (2019) - [j38]Guoqi Li:
A Lightweight System to Achieve Proactive Risk Management for Household ASIC-Resistant Cryptocurrency Mining. IEICE Trans. Inf. Syst. 102-D(6): 1215-1217 (2019) - [j37]Hongmin Li, Guoqi Li, Luping Shi:
Super-resolution of spatiotemporal event-stream image. Neurocomputing 335: 206-214 (2019) - [j36]Guoqi Li, Jie Ding, Changyun Wen, Lei Wang, Fanghong Guo:
Controlling Directed Networks With Evolving Topologies. IEEE Trans. Control. Netw. Syst. 6(1): 176-190 (2019) - [j35]Guoqi Li, Jie Ding, Changyun Wen, Jiangshuai Huang:
Minimum Cost Control of Directed Networks With Selectable Control Inputs. IEEE Trans. Cybern. 49(12): 4431-4440 (2019) - [j34]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2043-2051 (2019) - [c30]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI 2019: 1311-1318 - [c29]Qi Zhao, Lei Deng, Guoqi Li, Guanrui Wang, Cheng Ma:
Efficient Mapping without Deadlock on the Many-core Neural Network Chip. ICCA 2019: 752-757 - [c28]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c27]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN 2019: 1-6 - [i20]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR abs/1902.05705 (2019) - [i19]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR abs/1907.01167 (2019) - [i18]Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li:
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers. CoRR abs/1909.02384 (2019) - [i17]Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi:
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking. CoRR abs/1909.12942 (2019) - [i16]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR abs/1911.00822 (2019) - [i15]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR abs/1912.03647 (2019) - [i14]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019) - [i13]Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li:
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR abs/1912.12419 (2019) - 2018
- [j33]Jianyu Xu, Guoqi Li, Changyun Wen, Kun Wu, Lei Deng:
Towards a Unified Framework of Matrix Derivatives. IEEE Access 6: 47922-47934 (2018) - [j32]Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-Aware Neural Network Pruning. IEEE Access 6: 58324-58337 (2018) - [j31]Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li:
A novel software defect prediction based on atomic class-association rule mining. Expert Syst. Appl. 114: 237-254 (2018) - [j30]Guoqi Li, Lei Deng, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi:
Training deep neural networks with discrete state transition. Neurocomputing 272: 154-162 (2018) - [j29]Hongmin Li, Guoqi Li, Xiangyang Ji, Luping Shi:
Deep representation via convolutional neural network for classification of spatiotemporal event streams. Neurocomputing 299: 1-9 (2018) - [j28]Leitao Gao, Guangshe Zhao, Guoqi Li, Lei Deng, Fei Zeng:
Towards the minimum-cost control of target nodes in directed networks with linear dynamics. J. Frankl. Inst. 355(16): 8141-8157 (2018) - [j27]Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li:
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Neural Networks 100: 49-58 (2018) - [j26]Ziyang Meng, Tao Yang, Guoqi Li, Wei Ren, Di Wu:
Synchronization of Coupled Dynamical Systems: Tolerance to Weak Connectivity and Arbitrarily Bounded Time-Varying Delays. IEEE Trans. Autom. Control. 63(6): 1791-1797 (2018) - [j25]Jiangshuai Huang, Yongduan Song, Wei Wang, Changyun Wen, Guoqi Li:
Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions. IEEE Trans. Cybern. 48(8): 2349-2356 (2018) - [c26]Guangshe Zhao, Leitao Gao, Guoqi Li, Yuming Liu, Jiangshuai Huang, Changyun Wen:
Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders. ICCA 2018: 624-629 - [c25]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. ICLR 2018 - [c24]Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie:
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS 2018: 602-612 - [i12]Hongmin Li, Guoqi Li, Han-Chao Liu, Luping Shi:
Super-resolution of spatiotemporal event-based image. CoRR abs/1802.02398 (2018) - [i11]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. CoRR abs/1802.04680 (2018) - [i10]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR abs/1802.09769 (2018) - [i9]Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-aware neural network pruning. CoRR abs/1807.10816 (2018) - [i8]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. CoRR abs/1809.05793 (2018) - [i7]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - [i6]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. CoRR abs/1810.10962 (2018) - [i5]Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi:
Target Control of Directed Networks based on Network Flow Problems. CoRR abs/1811.12024 (2018) - 2017
- [j24]Zhao-Xu Yang, Guang-She Zhao, Guoqi Li, Hai-Jun Rong:
Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint. Ann. des Télécommunications 72(11-12): 703-715 (2017) - [j23]Fanghong Guo, Changyun Wen, Jianfeng Mao, Guoqi Li, Yong-Duan Song:
A distributed hierarchical algorithm for multi-cluster constrained optimization. Autom. 77: 230-238 (2017) - [j22]Jiangshuai Huang, Yong-Duan Song, Wei Wang, Changyun Wen, Guoqi Li:
Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference. Autom. 83: 361-367 (2017) - [j21]Guoqi Li, Pei Tang, Changyun Wen, Ziyang Meng:
Boundary Constraints for Minimum Cost Control of Directed Networks. IEEE Trans. Cybern. 47(12): 4196-4207 (2017) - [c23]Ran Wang, Gaoxi Xiao, Ping Wang, Yue Cao, Guoqi Li, Jie Hao, Kun Zhu:
Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy. GLOBECOM 2017: 1-6 - [c22]Jie Ding, Changyun Wen, Guoqi Li:
Optimal control of weighted networks based on node connection strength. ISIE 2017: 520-525 - [c21]Yuanxun Shao, Bin Liu, Guoqi Li, Ran Yan:
A Fault Diagnosis Expert System for Flight Control Software Based on SFMEA and SFTA. QRS Companion 2017: 626-627 - [i4]Yi Yu, Gaoxi Xiao, Guoqi Li, Wee Peng Tay:
Opinion diversity and community formation in adaptive networks. CoRR abs/1703.02223 (2017) - [i3]Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li:
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. CoRR abs/1705.09283 (2017) - [i2]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks. CoRR abs/1706.02609 (2017) - 2016
- [j20]Guoqi Li, Lei Deng, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Pei Jing, Luping Shi:
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity. Frontiers Comput. Neurosci. 10: 136 (2016) - [j19]Jie Ding, Changyun Wen, Guoqi Li, Chin-Seng Chua:
Locality sensitive batch feature extraction for high-dimensional data. Neurocomputing 171: 664-672 (2016) - [c20]Hongmin Li, Guoqi Li, Luping Shi:
Classification of Spatiotemporal Events Based on Random Forest. BICS 2016: 138-148 - 2015
- [j18]Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen:
Memory Dynamics in Attractor Networks. Comput. Intell. Neurosci. 2015: 191745:1-191745:7 (2015) - [j17]Guoqi Li, Changyun Wen, Wei Xing Zheng, Guangshe Zhao:
Iterative identification of block-oriented nonlinear systems based on biconvex optimization. Syst. Control. Lett. 79: 68-75 (2015) - [j16]Guoqi Li, Changyun Wen, Aimin Zhang:
Fixed point iteration in identifying bilinear models. Syst. Control. Lett. 83: 28-37 (2015) - [c19]Guang-She Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang:
An entropy-based method for estimating demographic trends. EAIS 2015: 1-8 - [c18]Lei Deng, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei:
A new computing rule for neuromorphic engineering. NVMTS 2015: 1-3 - [c17]Hongmin Li, Jing Pei, Guoqi Li:
Real-time tracking based on neuromrophic vision. NVMTS 2015: 1-7 - [i1]Hongmin Li, Pei Jing, Guoqi Li:
Real-time Tracking Based on Neuromrophic Vision. CoRR abs/1510.05275 (2015) - 2014
- [j15]Guoqi Li, Guangshe Zhao, Feng Yang:
Towards the online learning with Kernels in classification and regression. Evol. Syst. 5(1): 11-19 (2014) - [j14]Guoqi Li:
A Framework to Integrate Public Information into Runtime Safety Analysis for Critical Systems. IEICE Trans. Inf. Syst. 97-D(4): 981-983 (2014) - [j13]Guoqi Li:
A Modified FTA Approach to Achieve Runtime Safety Analysis of Critical Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(10): 2083-2085 (2014) - [c16]Jie Ding, Guoqi Li, Changyun Wen, Chin-Seng Chua:
Min-max discriminant analysis based on gradient method for feature extraction. ICARCV 2014: 129-134 - [c15]Lei Meng, Changyun Wen, Guoqi Li:
Support vector machine based liver cancer early detection using magnetic resonance images. ICARCV 2014: 861-864 - 2013
- [j12]Guoqi Li:
Ontology-Based Reuse of Failure Modes in Existing Databases for FMEA: Methodology and Tool. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(7): 1645-1648 (2013) - [j11]Guoqi Li, Ning Ning, Kiruthika Ramanathan, Wei He, Li Pan, Luping Shi:
Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity. Int. J. Neural Syst. 23(4) (2013) - [j10]Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao:
Model-Based Online Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 24(3): 356-369 (2013) - [c14]Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi:
Revised online learning with kernels for classification and regression. CIDM 2013: 275-279 - 2012
- [j9]Guoqi Li:
Software FMEA for Safety-Critical System Based on Co-analysis of System Model and Software Model. IEICE Trans. Inf. Syst. 95-D(12): 3101-3105 (2012) - [j8]Kiruthika Ramanathan, Ning Ning, Dhiviya Dhanasekar, Guoqi Li, Luping Shi, Prahlad Vadakkepat:
Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation. Int. J. Neural Syst. 22(4) (2012) - [j7]Guoqi Li, Changyun Wen:
Identification of Wiener Systems With Clipped Observations. IEEE Trans. Signal Process. 60(7): 3845-3852 (2012) - [c13]Juguo Wang, Yun Pu, Guoqi Li:
Fault Model Libraries for Safety Analysis and their Ontology-based Reuse. CIS 2012: 301-304 - [c12]Guoqi Li, Guangshe Zhao:
Online learning with kernels in classification and regression. EAIS 2012: 17-22 - [c11]Guoqi Li:
Ontology-Based Reuse of Failure Modes for FMEA: Methodology and Tool. ISSRE Workshops 2012: 17-18 - 2011
- [j6]Guoqi Li, Changyun Wen, Guang-Bin Huang, Yan Chen:
Error tolerance based support vector machine for regression. Neurocomputing 74(5): 771-782 (2011) - [j5]Guoqi Li, Changyun Wen:
Convergence of normalized iterative identification of Hammerstein systems. Syst. Control. Lett. 60(11): 929-935 (2011) - [j4]Guoqi Li, Changyun Wen, Wei Xing Zheng, Yan Chen:
Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines. IEEE Trans. Signal Process. 59(5): 2146-2159 (2011) - [c10]Yuchao Zhang, Guoqi Li, Juan Zhang:
QP Based Framework for Development and Formal Verification of Flight Control Software of UAV. AICI (1) 2011: 1-8 - [c9]Guoqi Li, Boxuan Wang:
SysML Aided Safety Analysis for Safety-Critical Systems. AICI (1) 2011: 270-275 - [c8]