Jennie Si - RankMe

129 papers A* 8A 3B 20C 4Misc 4Journal 73Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Addressing Human-Robot Symbiosis via Bilevel Optimization of Robotic Knee Prosthesis Control. IEEE Trans. Robotics Wentao Liu, Varun Nalam, Jennie Si, He Huang
2026	J	`jnl`	Beyond Motion Imitation: Is Human Motion Data Alone Sufficient to Explain Gait Control and Biomechanics? CoRR Xinyi Liu, Jangwhan Ahn, Edgar J. Lobaton, Jennie Si, He Huang
2025	J	`jnl`	Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees. IEEE Trans. Neural Networks Learn. Syst. Brent A. Wallace, Jennie Si
2025	J	`jnl`	Fast, accurate measurement of the worker populations of honey bee colonies using deep learning. CoRR Junmin Zhong, Jon F. Harrison, Jennie Si, Jun Chen
2025	A*	`conf`	Integral Performance Approximation for Continuous-Time Reinforcement Learning Control. ICLR Brent A. Wallace, Jennie Si
2025	A	`conf`	Personalized Reinforcement Learning Control of Soft Robotic Exosuit for Assisting Human Normative Walking with Reduced Effort. IROS Emiliano Quiñones Yumbla, Junmin Zhong, Seyed Yousef Soltanian, Jennie Si, Wenlong Zhang
2025	J	`jnl`	Personalizing Human Gait Entrainment: A Reinforcement Learning Approach to Optimizing Magnitude of Periodic Mechanical Perturbations. IEEE Robotics Autom. Lett. Omik M. Save, Junmin Zhong, Suhrud P. Joglekar, Jennie Si, Hyunglae Lee
2025	A*	`conf`	Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator. ICML Junmin Zhong, Emiliano Quiñones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang, Jennie Si
2024	J	`jnl`	A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees. J. Mach. Learn. Res. Brent A. Wallace, Jennie Si
2024	J	`jnl`	Actor-Critic Reinforcement Learning with Phased Actor. CoRR Ruofan Wu, Junmin Zhong, Jennie Si
2024	J	`jnl`	Continuous-Time Reinforcement Learning Control: A Review of Theoretical Results, Insights on Performance, and Needs for New Designs. IEEE Trans. Neural Networks Learn. Syst. Brent A. Wallace, Jennie Si
2024	J	`jnl`	Reinforcement Learning Control With Knowledge Shaping. IEEE Trans. Neural Networks Learn. Syst. Xiang Gao, Jennie Si, He Huang
2024	J	`jnl`	Toward Task-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation. IEEE Trans. Syst. Man Cybern. Syst. Qiang Zhang, Jennie Si, Xikai Tu, Minhan Li, Michael D. Lewek, He Huang
2023	A*	`conf`	A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning. NeurIPS Junmin Zhong, Ruofan Wu, Jennie Si
2023	A	`conf`	A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement. IROS Qiang Zhang, Xikai Tu, Jennie Si, Michael D. Lewek, He Huang
2023	J	`jnl`	Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees. CoRR Brent A. Wallace, Jennie Si
2023	J	`jnl`	Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems. IEEE Trans. Neural Networks Learn. Syst. Jingyi Zhang, Yonghong Luo, Boya Wang, Chao Lu, Jennie Si, Jie Song
2023	J	`jnl`	Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse. IEEE Trans. Biomed. Eng. Minhan Li, Wentao Liu, Jennie Si, Jonathan W. Stallrich, He Huang
2023	J	`jnl`	Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning. CoRR Junmin Zhong, Ruofan Wu, Jennie Si
2023	J	`jnl`	Modulation-Enhanced Excitation for Continuous-Time Reinforcement Learning via Symmetric Kronecker Products. CoRR Brent A. Wallace, Jennie Si
2022	J	`jnl`	A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. Wentao Liu, Ruofan Wu, Jennie Si, He Huang
2022	A*	`conf`	Admittance Control Based Human-in-the-Loop Optimization for Hip Exoskeleton Reduces Human Exertion during Walking. ICRA Varun Nalam, Xikai Tu, Minhan Li, Jennie Si, He Helen Huang
2022	J	`jnl`	Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision. IEEE Trans. Neural Networks Learn. Syst. Yongduan Song, Jennie Si, Sonya Coleman, Dermot Kerr
2022	A*	`conf`	Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. NeurIPS Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si
2022	J	`jnl`	Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance. IEEE Robotics Autom. Lett. Qiang Zhang, Varun Nalam, Xikai Tu, Minhan Li, Jennie Si, Michael D. Lewek, He Helen Huang
2022	J	`jnl`	Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. IEEE Robotics Autom. Lett. Wentao Liu, Junmin Zhong, Ruofan Wu, Bretta L. Fylstra, Jennie Si, He Helen Huang
2022	J	`jnl`	Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. CoRR Junmin Zhong, Ruofan Wu, Jennie Si
2022	J	`jnl`	Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven. IEEE Trans. Neural Networks Learn. Syst. Qingtao Zhao, Jennie Si, Jian Sun
2022	J	`jnl`	Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. IEEE Trans. Neural Networks Learn. Syst. Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Huang
2022	J	`jnl`	Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. IEEE Robotics Autom. Lett. Ruofan Wu, Minhan Li, Zhikai Yao, Wentao Liu, Jennie Si, He Huang
2022	J	`jnl`	Reinforcement-Learning-Based Tracking Control of Waste Water Treatment Process Under Realistic System Conditions and Control Performance Requirements. IEEE Trans. Syst. Man Cybern. Syst. Qinmin Yang, Weiwei Cao, Wenchao Meng, Jennie Si
2022	J	`jnl`	Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. IEEE CAA J. Autom. Sinica Ruofan Wu, Zhikai Yao, Jennie Si, He Helen Huang
2022	J	`jnl`	Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. IEEE Trans. Robotics Minhan Li, Yue Wen, Xiang Gao, Jennie Si, He Huang
2021	A*	`conf`	A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. ICRA Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He Helen Huang
2021	J	`jnl`	Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment. CoRR Ruofan Wu, Minhan Li, Zhikai Yao, Jennie Si, He Huang
2021	J	`jnl`	Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning. CoRR Ruofan Wu, Zhikai Yao, Jennie Si, He Huang
2021	J	`jnl`	Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. CoRR Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao
2021	A	`conf`	User Controlled Interface for Tuning Robotic Knee Prosthesis. IROS Abbas Alili, Varun Nalam, Minhan Li, Ming Liu, Jennie Si, He Helen Huang
2020	J	`jnl`	A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. CoRR Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He Huang
2020	A*	`conf`	Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis. ICRA Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Helen Huang
2020	J	`jnl`	Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven. CoRR Qingtao Zhao, Jennie Si, Jian Sun
2020	J	`jnl`	Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis. IEEE Trans. Cybern. Yue Wen, Jennie Si, Andrea Brandt, Xiang Gao, He Helen Huang
2020	J	`jnl`	Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration. CoRR Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Huang
2020	J	`jnl`	Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. CoRR Minhan Li, Yue Wen, Xiang Gao, Jennie Si, He Helen Huang
2019	A*	`conf`	Offline Policy Iteration Based Reinforcement Learning Controller for Online Robotic Knee Prosthesis Parameter Tuning. ICRA Minhan Li, Xiang Gao, Yue Wen, Jennie Si, He Helen Huang
2018	B	`conf`	Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid. IJCNN Jingyi Zhang, Chao Lu, Jennie Si, Jie Song, Yinsheng Su
2018	J	`jnl`	Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. Wentao Guo, Jennie Si, Feng Liu, Shengwei Mei
2018	—	`conf`	Robotic Knee Parameter Tuning Using Approximate Policy Iteration. ICCSIP (1) Xiang Gao, Yue Wen, Minhan Li, Jennie Si, He (Helen) Huang
2018	—	`conf`	Robotic Knee Prosthesis Real-Time Control Using Reinforcement Learning with Human in the Loop. ICCSIP (1) Yue Wen, Xiang Gao, Jennie Si, Andrea Brandt, Minhan Li, He (Helen) Huang
2017	J	`jnl`	A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Yue Wen, Jennie Si, Xiang Gao, Stephanie Huang, He (Helen) Huang
2017	B	`conf`	Comparing parallel and sequential control parameter tuning for a powered knee prosthesis. SMC Yue Wen, Andrea Brandt, Ming Liu, He (Helen) Huang, Jennie Si
2017	J	`jnl`	Consensus Control of Nonlinear Multiagent Systems With Time-Varying State Constraints. IEEE Trans. Cybern. Wenchao Meng, Qinmin Yang, Jennie Si, Youxian Sun
2016	J	`jnl`	Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems. IEEE Trans. Cybern. Wenchao Meng, Qinmin Yang, Jennie Si, Youxian Sun
2016	—	`conf`	Adaptive control of powered transfemoral prostheses based on adaptive dynamic programming. EMBC Yue Wen, Ming Liu, Jennie Si, He Huang
2016	J	`jnl`	Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 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
2016	J	`jnl`	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. Wentao Guo, Feng Liu, Jennie Si, Dawei He, Ronald G. Harley, Shengwei Mei
2015	J	`jnl`	Approximate dynamic programming based supplementary reactive power control for DFIG wind farm to enhance power system stability. Neurocomputing Wentao Guo, Feng Liu, Jennie Si, Dawei He, Ronald G. Harley, Shengwei Mei
2015	—	`ch.`	Computational Neuroscience - Biophysical Modeling of Neural Systems. Handbook of Computational Intelligence Harrison Stratton, Jennie Si
2015	B	`conf`	Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems. IJCNN Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei, Rui Li
2015	J	`jnl`	FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen
2014	B	`conf`	Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS. IJCNN Xiong Luo, Yi Chen, Jennie Si, Feng Liu
2014	B	`conf`	Online adaptation of controller parameters based on approximate dynamic programming. IJCNN Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei
2014	B	`conf`	Policy iteration approximate dynamic programming using Volterra series based actor. IJCNN Wentao Guo, Jennie Si, Feng Liu, Shengwei Mei
2014	B	`conf`	Reactive power control of DFIG wind farm using online supplementary learning controller based on approximate dynamic programming. IJCNN Wentao Guo, Feng Liu, Dawei He, Jennie Si, Ronald G. Harley, Shengwei Mei
2013	—	`conf`	An integrated design for intensified direct heuristic dynamic programming. ADPRL Xiong Luo, Jennie Si, Yuchao Zhou
2013	B	`conf`	Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs. IJCNN Wentao Guo, Feng Liu, Jennie Si, Shengwei Mei
2013	B	`conf`	Stability of direct heuristic dynamic programming for nonlinear tracking control using PID neural network. IJCNN Xiong Luo, Jennie Si
2013	—	`conf`	Stable L2-Regularized Ensemble Feature Weighting. MCS Yun Li, Shasha Huang, Songcan Chen, Jennie Si
2012	J	`jnl`	A boundedness result for the direct heuristic dynamic programming. Neural Networks Feng Liu, Jian Sun, Jennie Si, Wentao Guo, Shengwei Mei
2012	B	`conf`	A neural correlate to learning decision and control using functional synaptic efficacy. IJCNN Chenhui Yang, Sijia Wang, Bing Cheng, Yuan Yuan, Jennie Si
2012	—	`conf`	Uncovering the Neural Code Using a Rat Model during a Learning Control Task. WCCI Chenhui Yang, Hongwei Mao, Yuan Yuan, Bing Cheng, Jennie Si
2011	J	`jnl`	A Multiscale Correlation of Wavelet Coefficients Approach to Spike Detection. Neural Comput. Chenhui Yang, Byron Olson, Jennie Si
2011	B	`conf`	Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes. IJCNN Baohua Li, Jennie Si
2011	B	`conf`	Direct heuristic dynamic programming with augmented states. IJCNN Jian Sun, Feng Liu, Jennie Si, Shengwei Mei
2010	J	`jnl`	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 Baohua Li, Jennie Si
2010	J	`jnl`	Evidence of a mechanism of neural adaptation in the closed loop control of directions. Int. J. Intell. Comput. Cybern. Byron Olson, Jennie Si
2010	B	`conf`	High performance spike detection and sorting using neural waveform phase information and SOM clustering. IJCNN Chenhui Yang, Yuan Yuan, Jennie Si
2010	J	`jnl`	IEEE CIS Summer School Activities and Future Plans [Society Briefs]. IEEE Comput. Intell. Mag. Moufid Harb, Jennie Si
2009	B	`conf`	An advanced spike detection and sorting system. IJCNN Yuan Yuan, Chenhui Yang, Jennie Si
2009	J	`jnl`	Direct Heuristic Dynamic Programming for Nonlinear Tracking Control With Filtered Tracking Error. IEEE Trans. Syst. Man Cybern. Part B Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez
2009	J	`jnl`	Introduction to New IEEE CIS Educational Activities [Society briefs]. IEEE Comput. Intell. Mag. Jennie Si
2009	J	`jnl`	Performance Evaluation of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. J. Intell. Robotic Syst. Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez
2008	J	`jnl`	2007 International Joint Conference on Neural Networks (IJCNN 2007) [Conference Reports]. IEEE Comput. Intell. Mag. Jennie Si
2008	Misc	`conf`	A nonlinear adaptive regression process for noise corrupt images. ICASSP Nan Jiang, Changchun Li, Jennie Si, Glen P. Abousleman
2008	J	`jnl`	A performance gradient perspective on gradient-based policy iteration and a modified value iteration. Int. J. Intell. Comput. Cybern. Lei Yang, James Dankert, Jennie Si
2008	J	`jnl`	Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System. IEEE Trans. Syst. Man Cybern. Part B Chao Lu, Jennie Si, Xiaorong Xie
2008	Misc	`conf`	Interval least-squares filtering with applications to robust video target tracking. ICASSP Baohua Li, Changchun Li, Jennie Si, Glen P. Abousleman
2008	J	`jnl`	Orthogonal Rotation-Invariant Moments for Digital Image Processing. IEEE Trans. Image Process. Huibao Lin, Jennie Si, Glen P. Abousleman
2008	J	`jnl`	Robust Optimality for Discounted Infinite-Horizon Markov Decision Processes With Uncertain Transition Matrices. IEEE Trans. Autom. Control. Baohua Li, Jennie Si
2008	Misc	`conf`	Robust target detection and tracking in outdoor infrared video. ICASSP Changchun Li, Nan Jiang, Jennie Si, Glen P. Abousleman
2008	J	`jnl`	Special Issue on Advances in Neural Networks Research: IJCNN'07. Neural Networks David G. Brown, Jennie Si, Ron Sun
2007	B	`conf`	Adaptation in Neural Activity for Directional Control. IJCNN Byron Olson, Jennie Si
2007	B	`conf`	Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices. IJCNN Baohua Li, Jennie Si
2007	B	`conf`	Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control. IJCNN Chao Lu, Jennie Si, Xiaorong Xie, Jie Song
2007	B	`conf`	Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures. IJCNN Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez
2006	—	`conf`	Decoding High Level Signals for Asynchronous Brain Machine interfaces. EMBC (Supplement) Byron Olson, Jennie Si, Jason Silver
2006	—	`conf`	Hierarchical Region-Based Image Registration in Scale Space. ICASSP (2) Nan Jiang, Jennie Si, Glen P. Abousleman
2005	B	`conf`	An analysis of gradient-based policy iteration. IJCNN James Dankert, Lei Yang, Jennie Si
2005	J	`jnl`	Bidirectional labeling and registration scheme for grayscale image segmentation. IEEE Trans. Image Process. Lei Ma, Xiao-Ping (Steven) Zhang, Jennie Si, Glen P. Abousleman
2005	—	`conf`	Migrating Orthogonal Rotation-Invariant Moments from Continuous to Discrete Space. ICASSP (2) Huibao Lin, Jennie Si, Glen P. Abousleman
2004	—	`conf`	SVC supplementary damping control using direct neural dynamic programming. ISIC Chao Lu, Jennie Si, Xiaorong Xie, Luyuan Tong, James Dankert
2004	—	`conf`	Understand direct NDP with linear quadratic regulation. ISIC Lei Yang, Jennie Si, Konstantinos S. Tsakalis
2003	—	`conf`	Analyzing and enhancing direct NDP designs using a control-theoretic approach. ISIC Lei Yang, Jennie Si, Konstantinos S. Tsakalis, Armando A. Rodriguez
2003	—	`conf`	Bi-directional gradient labeling and registration for gray-scale image segmentation. ICIP (1) Lei Ma, Xiao-Ping (Steven) Zhang, Jennie Si, Glen P. Abousleman
2003	J	`jnl`	Helicopter trimming and tracking control using direct neural dynamic programming. IEEE Trans. Neural Networks Russell Enns, Jennie Si
2002	Misc	`conf`	Knowledge-based hierarchical region-of-interest detection. ICASSP Huibao Lin, Jennie Si, Glen P. Abousleman
2001	J	`jnl`	Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem. IEEE Trans. Neural Networks Xue-Bin Liang, Jennie Si
2001	J	`jnl`	Online learning control by association and reinforcement. IEEE Trans. Neural Networks Jennie Si, Yu-Tsung Wang
2000	J	`jnl`	Dynamic topology representing networks. Neural Networks Jennie Si, Siming Lin, M.-A. Vuong
2000	—	`conf`	Helicopter flight control design using a learning control approach. CDC Russell Enns, Jennie Si
2000	—	`conf`	On-Line Learning Control by Association and Reinforcement. IJCNN (3) Jennie Si, Yu-Tsung Wang
1999	J	`jnl`	Advancing Gradient Base Neural Network Training. Neural Parallel Sci. Comput. Jennie Si, Guian Zhou
1999	J	`jnl`	Subset-based training and pruning of sigmoid neural networks. Neural Networks Guian Zhou, Jennie Si
1998	J	`jnl`	A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency. Neural Comput. Guian Zhou, Jennie Si
1998	J	`jnl`	Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency. IEEE Trans. Neural Networks Guian Zhou, Jennie Si
1998	—	`ch.`	Multilevel neurons. Algorithms and Architectures Jennie Si, Anthony N. Michel
1998	J	`jnl`	Neural network-based control design: an LMI approach. IEEE Trans. Neural Networks Suttipan Limanond, Jennie Si
1998	J	`jnl`	Weight Value Convergence of the SOM Algorithm for Discrete Input. Neural Comput. Siming Lin, Jennie Si
1997	B	`conf`	Blind equalization with a linear feedforward neural network. ESANN Xi-Ren Cao, Jie Zhu, Jennie Si
1997	J	`jnl`	Fault isolation filter design for linear time-invariant systems. IEEE Trans. Autom. Control. Binfan Liu, Jennie Si
1997	J	`jnl`	Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals. Neural Comput. Siming Lin, Jennie Si, A. B. Schwartz
1996	C	`conf`	Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks. ICANN Binfan Liu, Jennie Si
1996	J	`jnl`	Best approximation results using regular-center Gaussian networks. Neural Parallel Sci. Comput. Binfan Liu, Jennie Si
1996	C	`conf`	Improving Neural Network Training Based on Jacobian Rank Deficiency. ICANN Guian Zhou, Jennie Si
1995	J	`jnl`	A shift invariant pattern recognition mechanism and its implementation by associative memory. Neural Parallel Sci. Comput. Jennie Si, Anthony N. Michel
1995	J	`jnl`	Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. IEEE Trans. Neural Networks Jennie Si, Anthony N. Michel
1994	J	`jnl`	The best approximation to C IEEE Trans. Neural Networks Binfan Liu, Jennie Si
1993	C	`conf`	A near optimal algorithm for image compression using Gabor expansion. ISCAS Jean-Louis Gouronc, Jennie Si
1993	C	`conf`	The best approximation to C ISCAS Binfan Liu, Jennie Si