A near optimal algorithm for image compression using Gabor expansion. - Jean-Louis Gouronc; Jennie Si (ISCAS, 1993)

The best approximation to C2 functions and its error bounds using Gaussian hidden units. - Binfan Liu; Jennie Si (ISCAS, 1993)

The best approximation to C2 functions and its error bounds using regular-center Gaussian networks. - Binfan Liu; Jennie Si (IEEE Trans. Neural Networks, 1994)

A shift invariant pattern recognition mechanism and its implementation by associative memory. - Jennie Si; Anthony N. Michel (Neural Parallel Sci. Comput., 1995)

Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. - Jennie Si; Anthony N. Michel (IEEE Trans. Neural Networks, 1995)

Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks. - Binfan Liu; Jennie Si (ICANN, 1996)

Improving Neural Network Training Based on Jacobian Rank Deficiency. - Guian Zhou; Jennie Si (ICANN, 1996)

Best approximation results using regular-center Gaussian networks. - Binfan Liu; Jennie Si (Neural Parallel Sci. Comput., 1996)

Blind equalization with a linear feedforward neural network. - Xi-Ren Cao; Jie Zhu 001; Jennie Si (ESANN, 1997)

Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals. - Siming Lin 001; Jennie Si; A. B. Schwartz (Neural Comput., 1997)

Fault isolation filter design for linear time-invariant systems. - Binfan Liu; Jennie Si (IEEE Trans. Autom. Control., 1997)

Multilevel neurons. - Jennie Si; Anthony N. Michel (Algorithms and Architectures, 1998)

Weight Value Convergence of the SOM Algorithm for Discrete Input. - Siming Lin 001; Jennie Si (Neural Comput., 1998)

A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency. - Guian Zhou; Jennie Si (Neural Comput., 1998)

Neural network-based control design: an LMI approach. - Suttipan Limanond; Jennie Si (IEEE Trans. Neural Networks, 1998)

Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency. - Guian Zhou; Jennie Si (IEEE Trans. Neural Networks, 1998)

Subset-based training and pruning of sigmoid neural networks. - Guian Zhou; Jennie Si (Neural Networks, 1999)

Advancing Gradient Base Neural Network Training. - Jennie Si; Guian Zhou (Neural Parallel Sci. Comput., 1999)

Helicopter flight control design using a learning control approach. - Russell Enns; Jennie Si (CDC, 2000)

On-Line Learning Control by Association and Reinforcement. - Jennie Si; Yu-Tsung Wang (IJCNN (3), 2000)

Dynamic topology representing networks. - Jennie Si; Siming Lin 001; M.-A. Vuong (Neural Networks, 2000)

Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem. - Xue-Bin Liang; Jennie Si (IEEE Trans. Neural Networks, 2001)

Online learning control by association and reinforcement. - Jennie Si; Yu-Tsung Wang (IEEE Trans. Neural Networks, 2001)

Knowledge-based hierarchical region-of-interest detection. - Huibao Lin; Jennie Si; Glen P. Abousleman (ICASSP, 2002)

Analyzing and enhancing direct NDP designs using a control-theoretic approach. - Lei Yang 001; Jennie Si; Konstantinos S. Tsakalis; Armando A. Rodriguez (ISIC, 2003)

Bi-directional gradient labeling and registration for gray-scale image segmentation. - Lei Ma 002; Xiao-Ping (Steven) Zhang; Jennie Si; Glen P. Abousleman (ICIP (1), 2003)

Helicopter trimming and tracking control using direct neural dynamic programming. - Russell Enns; Jennie Si (IEEE Trans. Neural Networks, 2003)

SVC supplementary damping control using direct neural dynamic programming. - Chao Lu 009; Jennie Si; Xiaorong Xie; Luyuan Tong; James Dankert (ISIC, 2004)

Understand direct NDP with linear quadratic regulation. - Lei Yang 001; Jennie Si; Konstantinos S. Tsakalis (ISIC, 2004)

Migrating Orthogonal Rotation-Invariant Moments from Continuous to Discrete Space. - Huibao Lin; Jennie Si; Glen P. Abousleman (ICASSP (2), 2005)

An analysis of gradient-based policy iteration. - James Dankert; Lei Yang 001; Jennie Si (IJCNN, 2005)

Bidirectional labeling and registration scheme for grayscale image segmentation. - Lei Ma 002; Xiao-Ping (Steven) Zhang; Jennie Si; Glen P. Abousleman (IEEE Trans. Image Process., 2005)

Decoding High Level Signals for Asynchronous Brain Machine interfaces. - Byron Olson; Jennie Si; Jason Silver (EMBC (Supplement), 2006)

Hierarchical Region-Based Image Registration in Scale Space. - Nan Jiang 011; Jennie Si; Glen P. Abousleman (ICASSP (2), 2006)

Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices. - Baohua Li; Jennie Si (IJCNN, 2007)

Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control. - Chao Lu 009; Jennie Si; Xiaorong Xie; Jie Song 002 (IJCNN, 2007)

Adaptation in Neural Activity for Directional Control. - Byron Olson; Jennie Si (IJCNN, 2007)

Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. - Lei Yang 001; Jennie Si; Konstantinos S. Tsakalis; Armando A. Rodriguez (IJCNN, 2007)

A nonlinear adaptive regression process for noise corrupt images. - Nan Jiang 011; Changchun Li; Jennie Si; Glen P. Abousleman (ICASSP, 2008)

Robust target detection and tracking in outdoor infrared video. - Changchun Li; Nan Jiang 011; Jennie Si; Glen P. Abousleman (ICASSP, 2008)

Interval least-squares filtering with applications to robust video target tracking. - Baohua Li; Changchun Li; Jennie Si; Glen P. Abousleman (ICASSP, 2008)

2007 International Joint Conference on Neural Networks (IJCNN 2007) [Conference Reports]. - Jennie Si (IEEE Comput. Intell. Mag., 2008)

A performance gradient perspective on gradient-based policy iteration and a modified value iteration. - Lei Yang 001; James Dankert; Jennie Si (Int. J. Intell. Comput. Cybern., 2008)

Special Issue on Advances in Neural Networks Research: IJCNN'07. - David G. Brown; Jennie Si; Ron Sun (Neural Networks, 2008)

Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices. - Baohua Li; Jennie Si (IEEE Trans. Autom. Control., 2008)

Orthogonal Rotation-Invariant Moments for Digital Image Processing. - Huibao Lin; Jennie Si; Glen P. Abousleman (IEEE Trans. Image Process., 2008)

Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System. - Chao Lu 009; Jennie Si; Xiaorong Xie (IEEE Trans. Syst. Man Cybern. Part B, 2008)

An advanced spike detection and sorting system. - Yuan Yuan; Chenhui Yang; Jennie Si (IJCNN, 2009)

Introduction to New IEEE CIS Educational Activities [Society briefs]. - Jennie Si (IEEE Comput. Intell. Mag., 2009)

Performance Evaluation of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. - Lei Yang 001; Jennie Si; Konstantinos S. Tsakalis; Armando A. Rodriguez (J. Intell. Robotic Syst., 2009)

Direct Heuristic Dynamic Programming for Nonlinear Tracking Control With Filtered Tracking Error. - Lei Yang 001; Jennie Si; Konstantinos S. Tsakalis; Armando A. Rodriguez (IEEE Trans. Syst. Man Cybern. Part B, 2009)

High performance spike detection and sorting using neural waveform phase information and SOM clustering. - Chenhui Yang; Yuan Yuan; Jennie Si (IJCNN, 2010)

IEEE CIS Summer School Activities and Future Plans [Society Briefs]. - Moufid Harb; Jennie Si (IEEE Comput. Intell. Mag., 2010)

Evidence of a mechanism of neural adaptation in the closed loop control of directions. - Byron Olson; Jennie Si (Int. J. Intell. Comput. Cybern., 2010)

Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices. - Baohua Li; Jennie Si (IEEE Trans. Neural Networks, 2010)

Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes. - Baohua Li; Jennie Si (IJCNN, 2011)

Direct heuristic dynamic programming with augmented states. - Jian Sun; Feng Liu 014; Jennie Si; Shengwei Mei (IJCNN, 2011)

A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection. - Chenhui Yang; Byron Olson; Jennie Si (Neural Comput., 2011)

A neural correlate to learning decision and control using functional synaptic efficacy. - Chenhui Yang; Sijia Wang; Bing Cheng; Yuan Yuan; Jennie Si (IJCNN, 2012)

Uncovering the Neural Code Using a Rat Model during a Learning Control Task. - Chenhui Yang; Hongwei Mao; Yuan Yuan; Bing Cheng; Jennie Si (WCCI, 2012)

A boundedness result for the direct heuristic dynamic programming. - Feng Liu 014; Jian Sun; Jennie Si; Wentao Guo; Shengwei Mei (Neural Networks, 2012)

An integrated design for intensified direct heuristic dynamic programming. - Xiong Luo; Jennie Si; Yuchao Zhou (ADPRL, 2013)

Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs. - Wentao Guo; Feng Liu 014; Jennie Si; Shengwei Mei (IJCNN, 2013)

Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network. - Xiong Luo; Jennie Si (IJCNN, 2013)

Stable L2-Regularized Ensemble Feature Weighting. - Yun Li 009; Shasha Huang; Songcan Chen; Jennie Si (MCS, 2013)

Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming. - Wentao Guo; Feng Liu 014; Dawei He; Jennie Si; Ronald G. Harley; Shengwei Mei (IJCNN, 2014)

Online adaptation of controller parameters based on approximate dynamic programming. - Wentao Guo; Feng Liu 014; Jennie Si; Shengwei Mei (IJCNN, 2014)

Policy iteration approximate dynamic programming using Volterra series based actor. - Wentao Guo; Jennie Si; Feng Liu 014; Shengwei Mei (IJCNN, 2014)

Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. - Xiong Luo; Yi Chen; Jennie Si; Feng Liu 014 (IJCNN, 2014)

Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems. - Wentao Guo; Feng Liu 014; Jennie Si; Shengwei Mei; Rui Li 032 (IJCNN, 2015)

Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability. - Wentao Guo; Feng Liu 014; Jennie Si; Dawei He; Ronald G. Harley; Shengwei Mei (Neurocomputing, 2015)

FREL: A Stable Feature Selection Algorithm. - Yun Li 009; Jennie Si; Guojing Zhou; Shasha Huang; Songcan Chen (IEEE Trans. Neural Networks Learn. Syst., 2015)

Computational Neuroscience - Biophysical Modeling of Neural Systems. - Harrison Stratton; Jennie Si (Handbook of Computational Intelligence, 2015)

Adaptive control of powered transfemoral prostheses based on adaptive dynamic programming. - Yue Wen; Ming Liu 005; Jennie Si; He Huang 002 (EMBC, 2016)

Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems. - Wenchao Meng; Qinmin Yang; Jennie Si; Youxian Sun (IEEE Trans. Cybern., 2016)

Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration. - Wentao Guo; Feng Liu 014; Jennie Si; Dawei He; Ronald G. Harley; Shengwei Mei (IEEE Trans. Neural Networks Learn. Syst., 2016)

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. - Haibo He; Nitesh V. Chawla; Huanhuan Chen; Yoonsuck Choe; Andries P. Engelbrecht; Jaya deva; Lyle N. Long; Ali A. Minai; Feiping Nie 001; Umut Ozertem; Barak A. Pearlmutter; Ling Shao 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2016)

Comparing parallel and sequential control parameter tuning for a powered knee prosthesis. - Yue Wen; Andrea Brandt; Ming Liu 005; He (Helen) Huang; Jennie Si (SMC, 2017)

Consensus Control of Nonlinear Multiagent Systems With Time-Varying State Constraints. - Wenchao Meng; Qinmin Yang; Jennie Si; Youxian Sun (IEEE Trans. Cybern., 2017)

A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming. - Yue Wen; Jennie Si; Xiang Gao 015; Stephanie Huang; He (Helen) Huang (IEEE Trans. Neural Networks Learn. Syst., 2017)

Robotic Knee Parameter Tuning Using Approximate Policy Iteration. - Xiang Gao 015; Yue Wen; Minhan Li; Jennie Si; He (Helen) Huang (ICCSIP (1), 2018)

Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop. - Yue Wen; Xiang Gao 015; Jennie Si; Andrea Brandt; Minhan Li; He (Helen) Huang (ICCSIP (1), 2018)

Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid. - Jingyi Zhang; Chao Lu 009; Jennie Si; Jie Song 002; Yinsheng Su (IJCNN, 2018)

Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems. - Wentao Guo; Jennie Si; Feng Liu 014; Shengwei Mei (IEEE Trans. Neural Networks Learn. Syst., 2018)

Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning. - Minhan Li; Xiang Gao 015; Yue Wen; Jennie Si; He Helen Huang (ICRA, 2019)

Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis. - Xiang Gao 015; Jennie Si; Yue Wen; Minhan Li; He Helen Huang (ICRA, 2020)

Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. - Minhan Li; Yue Wen; Xiang Gao 015; Jennie Si; He Helen Huang (CoRR, 2020)

Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis. - Yue Wen; Jennie Si; Andrea Brandt; Xiang Gao 015; He Helen Huang (IEEE Trans. Cybern., 2020)

A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. - Xikai Tu; Minhan Li; Ming Liu 005; Jennie Si; He Helen Huang (ICRA, 2021)

User Controlled Interface for Tuning Robotic Knee Prosthesis. - Abbas Alili; Varun Nalam; Minhan Li; Ming Liu 005; Jennie Si; He Helen Huang (IROS, 2021)

Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. - Zhikai Yao; Jennie Si; Ruofan Wu; Jianyong Yao (CoRR, 2021)

Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment. - Ruofan Wu; Minhan Li; Zhikai Yao; Jennie Si; He Huang 002 (CoRR, 2021)

Admittance Control Based Human-in-the-Loop Optimization for Hip Exoskeleton Reduces Human Exertion during Walking. - Varun Nalam; Xikai Tu; Minhan Li; Jennie Si; He Helen Huang (ICRA, 2022)

Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. - Ruofan Wu; Junmin Zhong; Brent Wallace; Xiang Gao 015; He Huang 002; Jennie Si (NeurIPS, 2022)

Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. - Junmin Zhong; Ruofan Wu; Jennie Si (CoRR, 2022)

Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. - Ruofan Wu; Zhikai Yao; Jennie Si; He Helen Huang (IEEE CAA J. Autom. Sinica, 2022)

A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning. - Wentao Liu; Ruofan Wu; Jennie Si; He Huang 002 (IEEE Robotics Autom. Lett., 2022)

Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. - Wentao Liu; Junmin Zhong; Ruofan Wu; Bretta L. Fylstra; Jennie Si; He Helen Huang (IEEE Robotics Autom. Lett., 2022)

Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. - Ruofan Wu; Minhan Li; Zhikai Yao; Wentao Liu; Jennie Si; He Huang 002 (IEEE Robotics Autom. Lett., 2022)

Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance. - Qiang Zhang 028; Varun Nalam; Xikai Tu; Minhan Li; Jennie Si; Michael D. Lewek; He Helen Huang (IEEE Robotics Autom. Lett., 2022)

Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. - Xiang Gao 015; Jennie Si; Yue Wen; Minhan Li; He Huang 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision. - Yongduan Song; Jennie Si; Sonya Coleman; Dermot Kerr (IEEE Trans. Neural Networks Learn. Syst., 2022)

Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven. - Qingtao Zhao; Jennie Si; Jian Sun 003 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. - Minhan Li; Yue Wen; Xiang Gao 015; Jennie Si; He Huang 002 (IEEE Trans. Robotics, 2022)

Reinforcement-Learning-Based Tracking Control of Waste Water Treatment Process Under Realistic System Conditions and Control Performance Requirements. - Qinmin Yang; Weiwei Cao; Wenchao Meng; Jennie Si (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement. - Qiang Zhang 028; Xikai Tu; Jennie Si; Michael D. Lewek; He Huang 002 (IROS, 2023)

A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning. - Junmin Zhong; Ruofan Wu; Jennie Si (NeurIPS, 2023)

Modulation-Enhanced Excitation for Continuous-Time Reinforcement Learning via Symmetric Kronecker Products. - Brent A. Wallace; Jennie Si (CoRR, 2023)

Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning. - Junmin Zhong; Ruofan Wu; Jennie Si (CoRR, 2023)

Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse. - Minhan Li; Wentao Liu; Jennie Si; Jonathan W. Stallrich; He Huang 002 (IEEE Trans. Biomed. Eng., 2023)

Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems. - Jingyi Zhang; Yonghong Luo; Boya Wang; Chao Lu 009; Jennie Si; Jie Song 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Actor-Critic Reinforcement Learning with Phased Actor. - Ruofan Wu; Junmin Zhong; Jennie Si (CoRR, 2024)

Reinforcement Learning Control With Knowledge Shaping. - Xiang Gao 015; Jennie Si; He Huang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Continuous-Time Reinforcement Learning Control: A Review of Theoretical Results, Insights on Performance, and Needs for New Designs. - Brent A. Wallace; Jennie Si (IEEE Trans. Neural Networks Learn. Syst., 2024)

Toward Task-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation. - Qiang Zhang 028; Jennie Si; Xikai Tu; Minhan Li; Michael D. Lewek; He Huang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Integral Performance Approximation for Continuous-Time Reinforcement Learning Control. - Brent A. Wallace; Jennie Si (ICLR, 2025)

Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees. - Brent A. Wallace; Jennie Si (IEEE Trans. Neural Networks Learn. Syst., 2025)

Personalizing Human Gait Entrainment: A Reinforcement Learning Approach to Optimizing Magnitude of Periodic Mechanical Perturbations. - Omik M. Save; Junmin Zhong; Suhrud P. Joglekar; Jennie Si; Hyunglae Lee (IEEE Robotics Autom. Lett., 2025)