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Jiali Yu
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2020 – today
- 2024
- [j36]Ruonan Wu, Ziqian Zong, Jiali Yu, Shizhi Zhang, Zhang Yi:
Attractors coexistence and representation research of Lotka-Volterra recurrent neural networks by matrix analysis theory. Neurocomputing 598: 128040 (2024) - [j35]Limei Song, Chuanfei Hong, Tian Gao, Jiali Yu:
Lightweight facial landmark detection network based on improved MobileViT. Signal Image Video Process. 18(4): 3123-3131 (2024) - [j34]Jia Wang, Gang Zheng, Jiali Yu, Jinliang Shao, Yinfei Zhou:
Sea Surface Temperature Prediction Method Based on Deep Generative Adversarial Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 14704-14711 (2024) - [j33]Qing Gao, Ning Luo, Minfeng Liang, Weiqi Zhou, Yan Li, Rong Li, Xiaofei Hu, Ting Zou, Xuyang Wang, Jiali Yu, Jinsong Leng, Huafu Chen:
A Stepwise Multivariate Granger Causality Method for Constructing Hierarchical Directed Brain Functional Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4974-4984 (2024) - [c13]Yuanzhe Jin, Jiali Yu:
Optimizing Mentor-student Communication Using LLM-Based Automated Labeling Information States. L@S 2024: 284-288 - 2023
- [j32]Weiqi Zhou, Jueyan Wu, Yan Li, Jie Li, Mengli Sun, Rong Li, Chengbo Yang, Mu Zhang, Lisha Gong, Jiali Yu, Jinsong Leng, Qin Chen, Fengmei Lu, Huafu Chen, Qing Gao:
The Antagonistic Alterations of Cerebellar Functional Segregation and Integration in Athletes with Fast Demands of Visual-Motor Coordination. Cogn. Comput. 15(6): 1813-1824 (2023) - [j31]Zhixin Pang, Jiali Yu, Jiazhang Wu, Bisen Liu, Chunxiao Wang, Zhang Yi, Qingyu Huang, Lei Gong:
Continuous attractors of fuzzy coupled recurrent neural networks. Int. J. Comput. Math. 100(4): 909-926 (2023) - [j30]Chunxiao Wang, Lu Qi, Yan Zhao, Jiali Yu:
Robust adaptive tracking control for input and state constrained uncertain nonlinear systems with unknown control directions. Int. J. Control 96(7): 1681-1694 (2023) - [j29]Jiali Yu, Wenshuang Chen, Jinsong Leng, Chunxiao Wang, Zhang Yi:
Weight matrix as a switch between line attractor and plane attractor of ring neural networks. Neurocomputing 521: 181-188 (2023) - [j28]Jianping Gou, Xia Yuan, Ya Xue, Lan Du, Jiali Yu, Shuyin Xia, Zhang Yi:
Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction. Neural Networks 157: 364-376 (2023) - [j27]Xiaofang Yao, Gang Zheng, Jiali Yu, Jinliang Shao, Jialu Zuo:
Robust Prediction of Sea Surface Temperature Based on SSPGAN. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 9823-9832 (2023) - [j26]Jiali Yu, Jihong Zhang:
Nonlocal Pseudo-Parabolic Equation with Memory Term and Conical Singularity: Global Existence and Blowup. Symmetry 15(1): 122 (2023) - [j25]Jianping Gou, Xia Yuan, Baosheng Yu, Jiali Yu, Zhang Yi:
Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition. IEEE Trans. Multim. 25: 1575-1583 (2023) - [i4]Yuanzhe Jin, Jiali Yu:
Optimizing Mentor-Student Communication with Symbolic Design for Message States. CoRR abs/2312.04227 (2023) - 2022
- [j24]Jingwen Yu, Qidong Lu, Zhiliang Qin, Jiali Yu, Yingying Li, Yu Qin:
A Multi-Stage Ensembled-Learning Approach for Signal Classification Based on Deep CNN and LGBM Models. J. Commun. 17(1): 30-38 (2022) - [j23]Yue Huang, Jiali Yu, Jinsong Leng, Bisen Liu, Zhang Yi:
Continuous Recurrent Neural Networks Based on Function Satlins. Neural Process. Lett. 54(2): 1293-1315 (2022) - [c12]Jiali Yu, Fengge Wu, Junsuo Zhao:
Trust Region Method Using K-FAC in Multi-Agent Reinforcement Learning. ACAI 2022: 45:1-45:7 - [c11]Zhengyi Wang, Xupeng Wang, Ferdous Sohel, Mohammed Bennamoun, Yong Liao, Jiali Yu:
Adversary Distillation for One-Shot Attacks on 3D Target Tracking. ICASSP 2022: 2749-2453 - [c10]Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi:
Deep Dictionary Learning with an Intra-Class Constraint. ICME 2022: 1-6 - [i3]Xia Yuan, Jianping Gou, Baosheng Yu, Jiali Yu, Zhang Yi:
Deep Dictionary Learning with An Intra-class Constraint. CoRR abs/2207.06841 (2022) - 2021
- [j22]Wenshuang Chen, Jiali Yu, Zhang Yi, Hong Qu:
The effect of coefficients on the continuous attractors in coupled Highway Neural Networks. Neurocomputing 419: 1-8 (2021) - [j21]Wanyu Xiang, Jiali Yu, Zhang Yi, Chunxiao Wang, Qing Gao, Yong Liao:
Coexistence of continuous attractors with different dimensions for neural networks. Neurocomputing 429: 25-32 (2021) - [j20]Qing Gao, Yu Xiang, Jiabao Zhang, Ning Luo, Minfeng Liang, Lisha Gong, Jiali Yu, Qian Cui, Jorge Sepulcre, Huafu Chen:
A reachable probability approach for the analysis of spatio-temporal dynamics in the human functional network. NeuroImage 243: 118497 (2021) - [c9]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V3: Dyadic Neural Network Quantization. ICML 2021: 11875-11886 - 2020
- [j19]Jiayi Lu, Dongqi Sun, Jiali Yu, Jiaming Li, Fangqu Niu:
"Local versus Nonlocal" Enterprise Linkages of Global Cities: A Comparison between Beijing and Shanghai, China. Complex. 2020: 8918534:1-8918534:13 (2020) - [j18]Jiali Yu, Zhang Yi, Jinsong Leng:
Line attractors of coupled ring neural networks with block circulant weight matrix. Int. J. Comput. Math. 97(3): 687-699 (2020) - [j17]Jiali Yu, Xiong Dai, Wenshuang Chen, Chunxiao Wang, Jin Qi:
Coexistence of multiple continuous attractors for lower-ordered neural networks. Int. J. Comput. Math. 97(12): 2462-2473 (2020) - [c8]Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang:
FeatGraph: a flexible and efficient backend for graph neural network systems. SC 2020: 71 - [i2]Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang:
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR abs/2008.11359 (2020) - [i1]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQV3: Dyadic Neural Network Quantization. CoRR abs/2011.10680 (2020)
2010 – 2019
- 2019
- [j16]Haotian Li, Kezheng Lin, Jingxuan Bai, Ao Li, Jiali Yu:
Small Object Detection Algorithm Based on Feature Pyramid-Enhanced Fusion SSD. Complex. 2019: 7297960:1-7297960:13 (2019) - [j15]Ze-Wei Chen, Hang Lei, Maolin Yang, Yong Liao, Jiali Yu:
Improved Task and Resource Partitioning Under the Resource-Oriented Partitioned Scheduling. J. Comput. Sci. Technol. 34(4): 839-853 (2019) - [j14]Chunxiao Wang, Fenghe Wang, Jiali Yu:
BLF-based asymptotic tracking control for a class of time-varying full state constrained nonlinear systems. Trans. Inst. Meas. Control 41(11): 3043-3052 (2019) - [j13]Jiali Yu, Chaoying Xia:
Hybrid modular multilevel converter with cascaded full bridges for medium-voltage motor drives. Trans. Inst. Meas. Control 41(12): 3279-3291 (2019) - [c7]Jicheng Lei, Jiali Yu, Chunhui He, Chong Zhang, Bin Ge, Yiping Bao:
Rule-Based HierarchicalRank: An Unsupervised Approach to Visible Tag Extraction from Semi-structured Chinese Text. PRICAI (3) 2019: 191-205 - 2018
- [j12]He Miao, Jinsong Leng, Jiali Yu, Dongwei Li:
Probability Modeled Optimal K-Frame for Erasures. IEEE Access 6: 54507-54515 (2018) - [c6]Jiali Yu, Zhang Yi, Chunxiao Wang, Yong Liao, Zhixin Pang:
Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights. ICONIP (2) 2018: 393-402 - [c5]Jiali Yu, Zhang Yi, Yong Liao, De-An Wu, Xiong Dai:
Continuous Attractors of 3-D Discrete-Time Ring Networks with Circulant Weight Matrix. ISNN 2018: 388-396 - 2017
- [j11]Jiali Yu, Hua Mao, Zhang Yi:
Parameter as a Switch Between Dynamical States of a Network in Population Decoding. IEEE Trans. Neural Networks Learn. Syst. 28(4): 911-916 (2017) - [c4]Jiali Yu, Zhiyuan Zhao, Yongqiang Wu, Wei Jiang, Hao Guo, Juan Li, Fei Qi, Hongmiao Zhang:
The coupling model between the upper and lower limbs during bipedal walking. I2MTC 2017: 1-6 - [c3]Zhiyuan Zhao, Jiali Yu, Yongqiang Wu, Juan Li, Hao Guo, Hongmiao Zhang, Lining Sun:
Study of electroencephalogram feature extraction and classification of three tasks of motor imagery. ICARM 2017: 492-497 - 2016
- [j10]Jiali Yu, Zhang Yi:
Stability Analysis and Fuzzy Control for Uncertain Delayed T-S Nonlinear Systems. Int. J. Fuzzy Syst. 18(6): 1031-1038 (2016) - 2013
- [j9]Jiali Yu, Huajin Tang, Haizhou Li, Luping Shi:
Dynamical properties of continuous attractor neural network with background tuning. Neurocomputing 99: 439-447 (2013) - [j8]Jiali Yu, Huajin Tang, Haizhou Li:
Continuous attractors of discrete-time recurrent neural networks. Neural Comput. Appl. 23(1): 89-96 (2013) - [j7]Jiali Yu, Huajin Tang, Haizhou Li:
Dynamics Analysis of a Population Decoding Model. IEEE Trans. Neural Networks Learn. Syst. 24(3): 498-503 (2013) - 2012
- [j6]Eng Yeow Cheu, Jiali Yu, Chin Hiong Tan, Huajin Tang:
Synaptic conditions for auto-associative memory storage and pattern completion in Jensen et al.'s model of hippocampal area CA3. J. Comput. Neurosci. 33(3): 435-447 (2012) - 2011
- [c2]Weiwei Huang, Huajin Tang, Jiali Yu, Chin Hiong Tan:
A Neuro-cognitive Robot for Spatial Navigation. ICONIP (1) 2011: 485-492 - 2010
- [j5]Jiali Yu, Zhang Yi, Jiliu Zhou:
Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons. IEEE Trans. Neural Networks 21(10): 1690-1695 (2010)
2000 – 2009
- 2009
- [j4]Lei Zhang, Zhang Yi, Jiali Yu, Pheng-Ann Heng:
Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions. Neurocomputing 72(16-18): 3809-3817 (2009) - [j3]Jiali Yu, Zhang Yi, Lei Zhang:
Representations of Continuous Attractors of Recurrent Neural Networks. IEEE Trans. Neural Networks 20(2): 368-372 (2009) - [j2]Zhang Yi, Lei Zhang, Jiali Yu, Kok Kiong Tan:
Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks. IEEE Trans. Neural Networks 20(6): 952-963 (2009) - [c1]Haixian Zhang, Jiali Yu, Zhang Yi:
Continuous Attractors of Lotka-Volterra Recurrent Neural Networks. ICANN (1) 2009: 287-295 - 2008
- [j1]Lei Zhang, Zhang Yi, Jiali Yu:
Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions. IEEE Trans. Neural Networks 19(1): 158-167 (2008)
Coauthor Index
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last updated on 2024-10-31 21:08 CET by the dblp team
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