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ORCIDJennie Si
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- affiliation: Arizona State University, School of Electrical, Computer, and Energy Engineering, Tempe, AZ, USA
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2020 – today
- 2024
[j54]Xiang Gao
, Jennie Si, He Huang:
Reinforcement Learning Control With Knowledge Shaping. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3156-3167 (2024)- [j53]Brent A. Wallace, Jennie Si:
Continuous-Time Reinforcement Learning Control: A Review of Theoretical Results, Insights on Performance, and Needs for New Designs. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10199-10219 (2024) - [i12]Ruofan Wu, Junmin Zhong, Jennie Si:
Actor-Critic Reinforcement Learning with Phased Actor. CoRR abs/2404.11834 (2024) - 2023
- [j52]Minhan Li, Wentao Liu, Jennie Si, Jonathan W. Stallrich, He Huang:
Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse. IEEE Trans. Biomed. Eng. 70(5): 1634-1642 (2023) - [j51]Jingyi Zhang, Yonghong Luo, Boya Wang, Chao Lu, Jennie Si, Jie Song:
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4249-4260 (2023) - [c50]Qiang Zhang, Xikai Tu, Jennie Si, Michael D. Lewek, He Huang:
A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement. IROS 2023: 6125-6132 - [c49]Junmin Zhong, Ruofan Wu, Jennie Si:
A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning. NeurIPS 2023 - [i11]Brent A. Wallace, Jennie Si:
Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees. CoRR abs/2307.08920 (2023) - [i10]Brent A. Wallace, Jennie Si:
Modulation-Enhanced Excitation for Continuous-Time Reinforcement Learning via Symmetric Kronecker Products. CoRR abs/2307.16862 (2023) - [i9]Junmin Zhong, Ruofan Wu, Jennie Si:
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning. CoRR abs/2311.03711 (2023) - 2022
- [j50]Ruofan Wu, Zhikai Yao, Jennie Si, He Helen Huang:
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. IEEE CAA J. Autom. Sinica 9(1): 19-30 (2022) - [j49]Wentao Liu, Junmin Zhong, Ruofan Wu, Bretta L. Fylstra, Jennie Si, He Helen Huang:
Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. IEEE Robotics Autom. Lett. 7(2): 2549-2556 (2022) - [j48]Ruofan Wu, Minhan Li, Zhikai Yao, Wentao Liu, Jennie Si, He Huang:
Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. IEEE Robotics Autom. Lett. 7(3): 7014-7020 (2022) - [j47]Wentao Liu, Ruofan Wu, Jennie Si, He Huang:
A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. 7(4): 10882-10889 (2022) - [j46]Qiang Zhang, Varun Nalam, Xikai Tu, Minhan Li, Jennie Si, Michael D. Lewek, He Helen Huang:
Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance. IEEE Robotics Autom. Lett. 7(4): 11126-11133 (2022) - [j45]Yongduan Song, Jennie Si, Sonya Coleman, Dermot Kerr:
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1820-1824 (2022) - [j44]Qingtao Zhao, Jennie Si, Jian Sun:
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4139-4144 (2022) - [j43]Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Huang:
Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5873-5887 (2022) - [j42]Minhan Li, Yue Wen, Xiang Gao, Jennie Si, He Huang:
Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. IEEE Trans. Robotics 38(1): 407-420 (2022) - [j41]Qinmin Yang, Weiwei Cao, Wenchao Meng, Jennie Si:
Reinforcement-Learning-Based Tracking Control of Waste Water Treatment Process Under Realistic System Conditions and Control Performance Requirements. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5284-5294 (2022) - [c48]Varun Nalam, Xikai Tu, Minhan Li, Jennie Si, He Helen Huang:
Admittance Control Based Human-in-the-Loop Optimization for Hip Exoskeleton Reduces Human Exertion during Walking. ICRA 2022: 6743-6749 - [c47]Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si:
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. NeurIPS 2022 - [i8]Junmin Zhong, Ruofan Wu, Jennie Si:
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. CoRR abs/2210.04820 (2022) - 2021
- [c46]Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He Helen Huang:
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. ICRA 2021: 10610-10616 - [c45]Abbas Alili, Varun Nalam, Minhan Li, Ming Liu, Jennie Si, He Helen Huang:
User Controlled Interface for Tuning Robotic Knee Prosthesis. IROS 2021: 6190-6195 - [i7]Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao:
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. CoRR abs/2101.00068 (2021) - [i6]Ruofan Wu, Minhan Li, Zhikai Yao, Jennie Si, He Huang:
Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment. CoRR abs/2101.03487 (2021) - [i5]Ruofan Wu, Zhikai Yao, Jennie Si, He Huang:
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning. CoRR abs/2101.09334 (2021) - 2020
- [j40]Yue Wen, Jennie Si, Andrea Brandt, Xiang Gao, He Helen Huang:
Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis. IEEE Trans. Cybern. 50(6): 2346-2356 (2020) - [c44]Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Helen Huang:
Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis. ICRA 2020: 754-760 - [i4]Minhan Li, Yue Wen, Xiang Gao, Jennie Si, He Helen Huang:
Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. CoRR abs/2006.06518 (2020) - [i3]Qingtao Zhao, Jennie Si, Jian Sun:
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven. CoRR abs/2006.08938 (2020) - [i2]Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Huang:
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration. CoRR abs/2006.09008 (2020) - [i1]Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He Huang:
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. CoRR abs/2011.06116 (2020)
2010 – 2019
- 2019
- [c43]Minhan Li, Xiang Gao, Yue Wen, Jennie Si, He Helen Huang:
Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning. ICRA 2019: 2831-2837 - 2018
- [j39]Wentao Guo, Jennie Si, Feng Liu, Shengwei Mei:
Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2794-2807 (2018) - [c42]Yue Wen, Xiang Gao, Jennie Si, Andrea Brandt, Minhan Li, He (Helen) Huang:
Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop. ICCSIP (1) 2018: 463-473 - [c41]Xiang Gao, Yue Wen, Minhan Li, Jennie Si, He (Helen) Huang:
Robotic Knee Parameter Tuning Using Approximate Policy Iteration. ICCSIP (1) 2018: 554-563 - [c40]Jingyi Zhang, Chao Lu, Jennie Si, Jie Song, Yinsheng Su:
Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid. IJCNN 2018: 1-8 - 2017
- [j38]Wenchao Meng, Qinmin Yang, Jennie Si, Youxian Sun:
Consensus Control of Nonlinear Multiagent Systems With Time-Varying State Constraints. IEEE Trans. Cybern. 47(8): 2110-2120 (2017) - [j37]Yue Wen, Jennie Si, Xiang Gao, Stephanie Huang, He (Helen) Huang:
A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2215-2220 (2017) - [c39]Yue Wen, Andrea Brandt, Ming Liu, He (Helen) Huang, Jennie Si:
Comparing parallel and sequential control parameter tuning for a powered knee prosthesis. SMC 2017: 1716-1721 - 2016
- [j36]Wenchao Meng, Qinmin Yang, Jennie Si, Youxian Sun:
Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems. IEEE Trans. Cybern. 46(1): 85-95 (2016) - [j35]Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27(1): 1-7 (2016) - [j34]Wentao Guo, Feng Liu, Jennie Si, Dawei He, Ronald G. Harley, Shengwei Mei:
Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1748-1761 (2016) - [c38]Yue Wen, Ming Liu, Jennie Si, He Huang:
Adaptive control of powered transfemoral prostheses based on adaptive dynamic programming. EMBC 2016: 5071-5074 - 2015
- [j33]Wentao Guo, Feng Liu, Jennie Si, Dawei He, Ronald G. Harley, Shengwei Mei:
Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability. Neurocomputing 170: 417-427 (2015) - [j32]Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen:
FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1388-1402 (2015) - [c37]Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei, Rui Li:
Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems. IJCNN 2015: 1-8 - [p2]Harrison Stratton, Jennie Si:
Computational Neuroscience - Biophysical Modeling of Neural Systems. Handbook of Computational Intelligence 2015: 649-663 - 2014
- [c36]Wentao Guo, Jennie Si, Feng Liu, Shengwei Mei:
Policy iteration approximate dynamic programming using Volterra series based actor. IJCNN 2014: 249-255 - [c35]Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei:
Online adaptation of controller parameters based on approximate dynamic programming. IJCNN 2014: 256-262 - [c34]Wentao Guo, Feng Liu, Dawei He, Jennie Si, Ronald G. Harley, Shengwei Mei:
Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming. IJCNN 2014: 1453-1460 - [c33]Xiong Luo, Yi Chen, Jennie Si, Feng Liu:
Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. IJCNN 2014: 3685-3692 - 2013
- [c32]Xiong Luo, Jennie Si, Yuchao Zhou:
An integrated design for intensified direct heuristic dynamic programming. ADPRL 2013: 183-190 - [c31]Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei:
Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs. IJCNN 2013: 1-8 - [c30]Xiong Luo, Jennie Si:
Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network. IJCNN 2013: 1-7 - [c29]Yun Li, Shasha Huang, Songcan Chen, Jennie Si:
Stable L2-Regularized Ensemble Feature Weighting. MCS 2013: 167-178 - 2012
- [j31]Feng Liu, Jian Sun, Jennie Si, Wentao Guo, Shengwei Mei:
A boundedness result for the direct heuristic dynamic programming. Neural Networks 32: 229-235 (2012) - [c28]Chenhui Yang, Sijia Wang, Bing Cheng, Yuan Yuan, Jennie Si:
A neural correlate to learning decision and control using functional synaptic efficacy. IJCNN 2012: 1-7 - [c27]Chenhui Yang, Hongwei Mao, Yuan Yuan, Bing Cheng, Jennie Si:
Uncovering the Neural Code Using a Rat Model during a Learning Control Task. WCCI 2012: 261-279 - 2011
- [j30]Chenhui Yang, Byron Olson, Jennie Si:
A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection. Neural Comput. 23(1): 215-250 (2011) - [c26]Baohua Li, Jennie Si:
Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes. IJCNN 2011: 1214-1221 - [c25]Jian Sun, Feng Liu, Jennie Si, Shengwei Mei:
Direct heuristic dynamic programming with augmented states. IJCNN 2011: 3112-3119 - 2010
- [j29]Moufid Harb, Jennie Si:
IEEE CIS Summer School Activities and Future Plans [Society Briefs]. IEEE Comput. Intell. Mag. 5(3): 4-6 (2010) - [j28]Byron Olson, Jennie Si:
Evidence of a mechanism of neural adaptation in the closed loop control of directions. Int. J. Intell. Comput. Cybern. 3(1): 5-23 (2010) - [j27]Baohua Li, Jennie Si:
Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices. IEEE Trans. Neural Networks 21(8): 1270-1280 (2010) - [c24]Chenhui Yang, Yuan Yuan, Jennie Si:
High performance spike detection and sorting using neural waveform phase information and SOM clustering. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j26]Jennie Si:
Introduction to New IEEE CIS Educational Activities [Society briefs]. IEEE Comput. Intell. Mag. 4(2): 8-9 (2009) - [j25]Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez:
Performance Evaluation of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. J. Intell. Robotic Syst. 55(2-3): 177-201 (2009) - [j24]Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez:
Direct Heuristic Dynamic Programming for Nonlinear Tracking Control With Filtered Tracking Error. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1617-1622 (2009) - [c23]Yuan Yuan, Chenhui Yang, Jennie Si:
An advanced spike detection and sorting system. IJCNN 2009: 3477-3484 - 2008
- [j23]Jennie Si:
2007 International Joint Conference on Neural Networks (IJCNN 2007) [Conference Reports]. IEEE Comput. Intell. Mag. 3(1): 82-83 (2008) - [j22]Lei Yang, James Dankert, Jennie Si:
A performance gradient perspective on gradient-based policy iteration and a modified value iteration. Int. J. Intell. Comput. Cybern. 1(4): 509-520 (2008) - [j21]David G. Brown, Jennie Si, Ron Sun:
Special Issue on Advances in Neural Networks Research: IJCNN'07. Neural Networks 21(2-3): 113 (2008) - [j20]Baohua Li, Jennie Si:
Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices. IEEE Trans. Autom. Control. 53(9): 2112-2116 (2008) - [j19]Huibao Lin, Jennie Si, Glen P. Abousleman:
Orthogonal Rotation-Invariant Moments for Digital Image Processing. IEEE Trans. Image Process. 17(3): 272-282 (2008) - [j18]Chao Lu, Jennie Si, Xiaorong Xie:
Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1008-1013 (2008) - [c22]Nan Jiang, Changchun Li, Jennie Si, Glen P. Abousleman:
A nonlinear adaptive regression process for noise corrupt images. ICASSP 2008: 901-904 - [c21]Changchun Li, Nan Jiang, Jennie Si, Glen P. Abousleman:
Robust target detection and tracking in outdoor infrared video. ICASSP 2008: 1489-1492 - [c20]Baohua Li, Changchun Li, Jennie Si, Glen P. Abousleman:
Interval least-squares filtering with applications to robust video target tracking. ICASSP 2008: 3397-3400 - 2007
- [c19]Chao Lu, Jennie Si, Xiaorong Xie, Jie Song:
Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control. IJCNN 2007: 908-913 - [c18]Byron Olson, Jennie Si:
Adaptation in Neural Activity for Directional Control. IJCNN 2007: 1888-1893 - [c17]Baohua Li, Jennie Si:
Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices. IJCNN 2007: 2052-2057 - [c16]Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez:
Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. IJCNN 2007: 2504-2509 - 2006
- [c15]Byron Olson, Jennie Si, Jason Silver:
Decoding High Level Signals for Asynchronous Brain Machine interfaces. EMBC (Supplement) 2006: 6569-6572 - [c14]Nan Jiang, Jennie Si, Glen P. Abousleman:
Hierarchical Region-Based Image Registration in Scale Space. ICASSP (2) 2006: 745-748 - 2005
- [j17]Lei Ma, Xiao-Ping (Steven) Zhang, Jennie Si, Glen P. Abousleman:
Bidirectional labeling and registration scheme for grayscale image segmentation. IEEE Trans. Image Process. 14(12): 2073-2081 (2005) - [c13]Huibao Lin, Jennie Si, Glen P. Abousleman:
Migrating Orthogonal Rotation-Invariant Moments from Continuous to Discrete Space. ICASSP (2) 2005: 245-248 - 2004
- [c12]Chao Lu, Jennie Si, Xiaorong Xie, Luyuan Tong, James Dankert:
SVC supplementary damping control using direct neural dynamic programming. ISIC 2004: 270-274 - [c11]Lei Yang, Jennie Si, Konstantinos S. Tsakalis:
Understand direct NDP with linear quadratic regulation. ISIC 2004: 374-379 - 2003
- [j16]Russell Enns, Jennie Si:
Helicopter trimming and tracking control using direct neural dynamic programming. IEEE Trans. Neural Networks 14(4): 929-939 (2003) - [c10]Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez:
Analyzing and enhancing direct NDP designs using a control-theoretic approach. ISIC 2003: 529-532 - [c9]Lei Ma, Xiao-Ping (Steven) Zhang, Jennie Si, Glen P. Abousleman:
Bi-directional gradient labeling and registration for gray-scale image segmentation. ICIP (1) 2003: 365-368 - 2002
- [c8]Huibao Lin, Jennie Si, Glen P. Abousleman:
Knowledge-based hierarchical region-of-interest detection. ICASSP 2002: 3628-3631 - 2001
- [j15]Jennie Si, Yu-Tsung Wang:
Online learning control by association and reinforcement. IEEE Trans. Neural Networks 12(2): 264-276 (2001) - [j14]Xue-Bin Liang, Jennie Si:
Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem. IEEE Trans. Neural Networks 12(2): 349-359 (2001) - 2000
- [j13]Jennie Si, Siming Lin, M.-A. Vuong:
Dynamic topology representing networks. Neural Networks 13(6): 617-627 (2000) - [c7]Russell Enns, Jennie Si:
Helicopter flight control design using a learning control approach. CDC 2000: 1754-1759 - [c6]Jennie Si, Yu-Tsung Wang:
On-Line Learning Control by Association and Reinforcement. IJCNN (3) 2000: 221-226
1990 – 1999
- 1999
- [j12]Guian Zhou, Jennie Si:
Subset-based training and pruning of sigmoid neural networks. Neural Networks 12(1): 79-89 (1999) - [j11]Jennie Si, Guian Zhou:
Advancing Gradient Base Neural Network Training. Neural Parallel Sci. Comput. 7(1): 17-32 (1999) - 1998
- [j10]Siming Lin, Jennie Si:
Weight Value Convergence of the SOM Algorithm for Discrete Input. Neural Comput. 10(4): 807-814 (1998) - [j9]Guian Zhou, Jennie Si:
A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency. Neural Comput. 10(4): 1031-1045 (1998) - [j8]Guian Zhou, Jennie Si:
Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency. IEEE Trans. Neural Networks 9(3): 448-453 (1998) - [j7]Suttipan Limanond, Jennie Si:
Neural network-based control design: an LMI approach. IEEE Trans. Neural Networks 9(6): 1422-1429 (1998) - [p1]Jennie Si, Anthony N. Michel:
Multilevel neurons. Algorithms and Architectures 1998: 155-179 - 1997
- [j6]Siming Lin, Jennie Si, A. B. Schwartz:
Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals. Neural Comput. 9(3): 607-621 (1997) - [j5]Binfan Liu, Jennie Si:
Fault isolation filter design for linear time-invariant systems. IEEE Trans. Autom. Control. 42(5): 704-707 (1997) - [c5]Xi-Ren Cao, Jie Zhu, Jennie Si:
Blind equalization with a linear feedforward neural network. ESANN 1997 - 1996
- [j4]Binfan Liu, Jennie Si:
Best approximation results using regular-center Gaussian networks. Neural Parallel Sci. Comput. 4(1): 25-34 (1996) - [c4]Guian Zhou, Jennie Si:
Improving Neural Network Training Based on Jacobian Rank Deficiency. ICANN 1996: 531-536 - [c3]Binfan Liu, Jennie Si:
Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks. ICANN 1996: 803-808 - 1995
- [j3]Jennie Si, Anthony N. Michel:
A shift invariant pattern recognition mechanism and its implementation by associative memory. Neural Parallel Sci. Comput. 3(3): 349-356 (1995) - [j2]Jennie Si, Anthony N. Michel:
Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. IEEE Trans. Neural Networks 6(1): 105-116 (1995) - 1994
- [j1]Binfan Liu, Jennie Si:
The best approximation to C2 functions and its error bounds using regular-center Gaussian networks. IEEE Trans. Neural Networks 5(5): 845-847 (1994) - 1993
- [c2]Binfan Liu, Jennie Si:
The best approximation to C2 functions and its error bounds using Gaussian hidden units. ISCAS 1993: 188-191 - [c1]Jean-Louis Gouronc, Jennie Si:
A near optimal algorithm for image compression using Gabor expansion. ISCAS 1993: 251-254
Coauthor Index
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