A new distributed and dynamic call admission policy for mobile wireless networks with QOS guarantee. - Si Wu 001; K. Y. Michael Wong; Bo Li 001 (PIMRC, 1998)

Dynamic overload control for distributed call processors using the neural network method. - Si Wu 001; K. Y. Michael Wong (IEEE Trans. Neural Networks, 1998)

Population Decoding Based on an Unfaithful Model. - Si Wu 001; Hiroyuki Nakahara; Noboru Murata; Shun-ichi Amari (NIPS, 1999)

Improving support vector machine classifiers by modifying kernel functions. - Shun-ichi Amari; Si Wu 001 (Neural Networks, 1999)

Unfaithful Population Decoding. - Si Wu 001; Danmei Chen; Shun-ichi Amari (IJCNN (2), 2000)

Neural Implementation of Bayesian Inference in Population Codes. - Si Wu 001; Shun-ichi Amari (NIPS, 2001)

Attention Modulation of Neural Tuning Through Peak and Base Rate. - Hiroyuki Nakahara; Si Wu 001; Shun-ichi Amari (Neural Comput., 2001)

Population Coding with Correlation and an Unfaithful Model. - Si Wu 001; Hiroyuki Nakahara; Shun-ichi Amari (Neural Comput., 2001)

An Efficient and Adaptive Bandwidth Allocation Scheme for Mobile Wireless Networks Using an On-Line Local Estimation Technique. - Bo Li 001; Li Yin; K. Y. Michael Wong; Si Wu 001 (Wirel. Networks, 2001)

Asymptotic behaviors of population codes. - Si Wu 001; Shun-ichi Amari; Hiroyuki Nakahara (Neurocomputing, 2002)

Population Coding and Decoding in a Neural Field: A Computational Study. - Si Wu 001; Shun-ichi Amari; Hiroyuki Nakahara (Neural Comput., 2002)

Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers. - Si Wu 001; Shun-ichi Amari (Neural Process. Lett., 2002)

A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks. - Si Wu 001; K. Y. Michael Wong; Bo Li 001 (IEEE/ACM Trans. Netw., 2002)

Synchronous Firing and Higher-Order Interactions in Neuron Pool. - Shun-ichi Amari; Hiroyuki Nakahara; Si Wu 001; Yutaka Sakai (Neural Comput., 2003)

Sequential Bayesian Decoding with a Population of Neurons. - Si Wu 001; Danmei Chen; Mahesan Niranjan; Shun-ichi Amari (Neural Comput., 2003)

Information processing in a neuron ensemble with the multiplicative correlation structure. - Si Wu 001; Shun-ichi Amari; Hiroyuki Nakahara (Neural Networks, 2004)

Scaling the Kernel Function to Improve Performance of the Support Vector Machine. - Peter Williams; Sheng Li 002; Jianfeng Feng; Si Wu 001 (ISNN (1), 2005)

On the variability of cortical neural responses: a statistical interpretation. - Sheng Li 002; Si Wu 001 (Neurocomputing, 2005)

Computing with Continuous Attractors: Stability and Online Aspects. - Si Wu 001; Shun-ichi Amari (Neural Comput., 2005)

The Ideal Noisy Environment for Fast Neural Computation. - Si Wu 001; Jianfeng Feng; Shun-ichi Amari (ISNN (1), 2006)

The Tracking Speed of Continuous Attractors. - Si Wu 001; Kosuke Hamaguchi; Shun-ichi Amari (ISNN (1), 2007)

A Geometrical Method to Improve Performance of the Support Vector Machine. - Peter Williams; Sheng Li 002; Jianfeng Feng; Si Wu 001 (IEEE Trans. Neural Networks, 2007)

Tracking Changing Stimuli in Continuous Attractor Neural Networks. - C. C. Alan Fung; K. Y. Michael Wong; Si Wu 001 (NIPS, 2008)

Dynamics and Computation of Continuous Attractors. - Si Wu 001; Kosuke Hamaguchi; Shun-ichi Amari (Neural Comput., 2008)

On the condition for fast neural computation. - Si Wu 001; Shun-ichi Amari (CDC, 2009)

Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks. - Longwen Huang; Si Wu 001 (ISNN (1), 2010)

Attractor Dynamics with Synaptic Depression. - C. C. Alan Fung; K. Y. Michael Wong; He Wang 004; Si Wu 001 (NIPS, 2010)

A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks. - C. C. Alan Fung; K. Y. Michael Wong; Si Wu 001 (Neural Comput., 2010)

Behavior-constrained support vector machines for fMRI data analysis. - Danmei Chen; Sheng Li 002; Zoe Kourtzi; Si Wu 001 (IEEE Trans. Neural Networks, 2010)

Simple Models for Synaptic Information Integration. - Danke Zhang; Yuwei Cui; Yuanqing Li 001; Si Wu 001 (ICONIP (3), 2011)

Decision-Making in Drosophila with Two Conflicting Cues. - Kuijie Cai; Jihong Shen; Si Wu 001 (ISNN (1), 2011)

Erratum: Decision-Making in Drosophila with Two Conflicting Cues. - Kuijie Cai; Jihong Shen; Si Wu 001 (ISNN (1), 2011)

Learning Variance Statistics of Natural Images. - Libo Ma; Malte J. Rasch; Si Wu 001 (ISNN (2), 2011)

Impact of noise structure and network topology on tracking speed of neural networks. - Longwen Huang; Yuwei Cui; Danke Zhang; Si Wu 001 (Neural Networks, 2011)

Neural Population Decoding in Short-Time Windows. - Wenhao Zhang 002; Si Wu 001 (IScIDE, 2012)

Delay Compensation with Dynamical Synapses. - C. C. Alan Fung; K. Y. Michael Wong; Si Wu 001 (NIPS, 2012)

Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility. - C. C. Alan Fung; K. Y. Michael Wong; He Wang 004; Si Wu 001 (Neural Comput., 2012)

Neural Information Processing with Feedback Modulations. - Wenhao Zhang 002; Si Wu 001 (Neural Comput., 2012)

A kernel-based Perceptron with dynamic memory. - Wenwu He; Si Wu 001 (Neural Networks, 2012)

Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively. - Wenhao Zhang 002; Si Wu 001 (NIPS, 2013)

Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition. - Danke Zhang; Yuanqing Li 001; Si Wu 001 (Comput. Math. Methods Medicine, 2013)

Resolution enhancement in neural networks with dynamical synapses. - C. C. Alan Fung; He Wang 004; Kin Lam; K. Y. Michael Wong; Si Wu 001 (Frontiers Comput. Neurosci., 2013)

Neural information processing with dynamical synapses. - Si Wu 001; K. Y. Michael Wong; Misha Tsodyks (Frontiers Comput. Neurosci., 2013)

Adaptive neural information processing with dynamical electrical synapses. - Lei Xiao; Danke Zhang; Yuanqing Li 001; Pei-Ji Liang; Si Wu 001 (Frontiers Comput. Neurosci., 2013)

Nonlinear multiplicative dendritic integration in neuron and network models. - Danke Zhang; Yuanqing Li 001; Malte J. Rasch; Si Wu 001 (Frontiers Comput. Neurosci., 2013)

Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila. - Danke Zhang; Yuanqing Li 001; Si Wu 001; Malte J. Rasch (Frontiers Comput. Neurosci., 2013)

Short-term synaptic plasticity. - Misha Tsodyks; Si Wu 001 (Scholarpedia, 2013)

Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks. - Yuanyuan Mi; C. C. Alan Fung; K. Y. Michael Wong; Si Wu 001 (NIPS, 2014)

A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System. - Yuanyuan Mi; Luozheng Li; Dahui Wang; Si Wu 001 (NIPS, 2014)

Response dynamics of bullfrog ON-OFF RGCs to different stimulus durations. - Lei Xiao; Pu-Ming Zhang; Si Wu 001; Pei-Ji Liang (J. Comput. Neurosci., 2014)

A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release. - Tao Wang 092; Luping Yin; Xiaolong Zou; Yousheng Shu; Malte J. Rasch; Si Wu 001 (Frontiers Comput. Neurosci., 2015)

Dynamical information encoding in neural adaptation. - Luozheng Li; Wenhao Zhang 002; Yuanyuan Mi; Dahui Wang; Xiaohan Lin; Si Wu 001 (EMBC, 2016)

"Congruent" and "Opposite" Neurons: Sisters for Multisensory Integration and Segregation. - Wenhao Zhang 002; He Wang 004; K. Y. Michael Wong; Si Wu 001 (NIPS, 2016)

Neural Computations in a Dynamical System with Multiple Time Scales. - Yuanyuan Mi; Xiaohan Lin; Si Wu 001 (Frontiers Comput. Neurosci., 2016)

Neural implementation of categorization in a motion discrimination task. - L. T. Yu; Si Wu 001; D. H. Wang (Neurocomputing, 2016)

Encoding Multisensory Information in Modular Neural Networks. - He Wang 004; Wenhao Zhang 002; K. Y. Michael Wong; Si Wu 001 (ICONIP (4), 2017)

Learning a Continuous Attractor Neural Network from Real Images. - Xiaolong Zou; Zilong Ji; Xiao Liu; Yuanyuan Mi; K. Y. Michael Wong; Si Wu 001 (ICONIP (4), 2017)

How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration. - He Wang 004; Wenhao Zhang 002; K. Y. Michael Wong; Si Wu 001 (ISNN (2), 2017)

Learning Peri-saccadic Remapping of Receptive Field from Experience in Lateral Intraparietal Area. - Xiao Wang; Yan Wu; Mingsha Zhang; Si Wu 001 (Frontiers Comput. Neurosci., 2017)

Peri-Saccadic Remapping Accounts for Visual Stability. - Xiao Wang; Mingsha Zhang; Si Wu 001 (ICCI*CC, 2018)

Neural Information Processing in Hierarchical Prototypical Networks. - Zilong Ji; Xiaolong Zou; Xiao Liu; Tiejun Huang 001; Yuanyuan Mi; Si Wu 001 (ICONIP (3), 2018)

Learning, Storing, and Disentangling Correlated Patterns in Neural Networks. - Xiaolong Zou; Zilong Ji; Xiao Liu; Tiejun Huang 001; Yuanyuan Mi; Dahui Wang; Si Wu 001 (ICONIP (3), 2018)

Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation. - Luozheng Li; Yuanyuan Mi; Wenhao Zhang 002; Dahui Wang; Si Wu 001 (Frontiers Comput. Neurosci., 2018)

A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits. - Wenhao Zhang 002; Si Wu 001; Brent Doiron; Tai Sing Lee (NeurIPS, 2019)

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently. - Xiao Liu; Xiaolong Zou; Zilong Ji; Gengshuo Tian; Yuanyuan Mi; Tiejun Huang 001; K. Y. Michael Wong; Si Wu 001 (NeurIPS, 2019)

Excitation-Inhibition Balanced Spiking Neural Networks for Fast Information Processing. - Gengshuo Tian; Tiejun Huang 001; Si Wu 001 (SMC, 2019)

Spatiotemporal Information Processing with a Reservoir Decision-making Network. - Yuanyuan Mi; Xiaohan Lin; Xiaolong Zou; Zilong Ji; Tiejun Huang 001; Si Wu 001 (CoRR, 2019)

Unsupervised Few-shot Learning via Self-supervised Training. - Zilong Ji; Xiaolong Zou; Tiejun Huang 001; Si Wu 001 (CoRR, 2019)

An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification. - Zilong Ji; Xiaolong Zou; Xiaohan Lin; Xiao Liu; Tiejun Huang 001; Si Wu 001 (ECCV (28), 2020)

Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways. - Zilong Ji; Xiaolong Zou; Tiejun Huang 001; Si Wu 001 (CoRR, 2020)

Unsupervised Few-Shot Feature Learning via Self-Supervised Training. - Zilong Ji; Xiaolong Zou; Tiejun Huang 001; Si Wu 001 (Frontiers Comput. Neurosci., 2020)

Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection. - Gengshuo Tian; Shangyang Li; Tiejun Huang 001; Si Wu 001 (Frontiers Comput. Neurosci., 2020)

A Neural Network Model With Gap Junction for Topological Detection. - Chaoming Wang; Risheng Lian; Xingsi Dong; Yuanyuan Mi; Si Wu 001 (Frontiers Comput. Neurosci., 2020)

A Just-In-Time Compilation Approach for Neural Dynamics Simulation. - Chaoming Wang; Yingqian Jiang; Xinyu Liu; Xiaohan Lin; Xiaolong Zou; Zilong Ji; Si Wu 001 (ICONIP (3), 2021)

Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks. - Xingsi Dong; Tianhao Chu; Tiejun Huang 001; Zilong Ji; Si Wu 001 (NeurIPS, 2021)

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems. - Yunpeng Guo; Xiaolong Zou; Yifan Hu; Yifei Yang; Xinxin Wang; Yuhan He; Ruikai Kong; Yuzheng Guo; Guoqi Li; Wei Zhang; Si Wu 001; Huanglong Li (Adv. Intell. Syst., 2021)

A brain-inspired computational model for spatio-temporal information processing. - Xiaohan Lin; Xiaolong Zou; Zilong Ji; Tiejun Huang 001; Si Wu 001; Yuanyuan Mi (Neural Networks, 2021)

Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells. - Tianhao Chu; Zilong Ji; Junfeng Zuo; Wenhao Zhang 002; Tiejun Huang 001; Yuanyuan Mi; Si Wu 001 (NeurIPS, 2022)

Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks. - Xingsi Dong; Zilong Ji; Tianhao Chu; Tiejun Huang 001; Wenhao Zhang 002; Si Wu 001 (NeurIPS, 2022)

Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors. - Wenhao Zhang 002; Ying Nian Wu; Si Wu 001 (NeurIPS, 2022)

1000x Faster Camera and Machine Vision with Ordinary Devices. - Tiejun Huang 001; Yajing Zheng; Zhaofei Yu; Rui Chen 006; Yuan Li 014; Ruiqin Xiong; Lei Ma 008; Junwei Zhao; Siwei Dong; Lin Zhu 012; Jianing Li 001; Shanshan Jia 001; et al. (CoRR, 2022)

Towards a New Paradigm for Brain-inspired Computer Vision. - Xiaolong Zou; Tie-Jun Huang 001; Si Wu 001 (Int. J. Autom. Comput., 2022)

Neural feedback facilitates rough-to-fine information retrieval. - Xiao Liu; Xiaolong Zou; Zilong Ji; Gengshuo Tian; Yuanyuan Mi; Tiejun Huang 001; K. Y. Michael Wong; Si Wu 001 (Neural Networks, 2022)

Neural Sampling in Hierarchical Exponential-family Energy-based Models. - Xingsi Dong; Si Wu 001 (NeurIPS, 2023)

Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics. - Xiaohan Lin; Liyuan Li; Boxin Shi; Tiejun Huang 001; Yuanyuan Mi; Si Wu 001 (NeurIPS, 2023)

Learning and processing the ordinal information of temporal sequences in recurrent neural circuits. - Xiaolong Zou; Zhikun Chu; Qinghai Guo; Jie Cheng; Bo Ho; Si Wu 001; Yuanyuan Mi (NeurIPS, 2023)

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation. - Junfeng Zuo; Xiao Liu; Ying Nian Wu; Si Wu 001; Wenhao Zhang 002 (NeurIPS, 2023)

A differentiable brain simulator bridging brain simulation and brain-inspired computing. - Chaoming Wang; Tianqiu Zhang; Sichao He; Yifeng Gong; Hongyaoxing Gu; Shangyang Li; Si Wu 001 (CoRR, 2023)

Visual information processing through the interplay between fine and coarse signal pathways. - Xiaolong Zou; Zilong Ji; Tianqiu Zhang; Tiejun Huang 001; Si Wu 001 (Neural Networks, 2023)

A differentiable brain simulator bridging brain simulation and brain-inspired computing. - Chaoming Wang; Tianqiu Zhang; Sichao He; Hongyaoxing Gu; Shangyang Li; Si Wu 001 (ICLR, 2024)

To Learn or Not to Learn, That is the Question - A Feature-Task Dual Learning Model of Perceptual Learning. - Xiao Liu; Muyang Lyu; Cong Yu; Si Wu 001 (NeurIPS, 2024)

The motion planning neural circuit in goal-directed navigation as Lie group operator search. - Junfeng Zuo; Ying Nian Wu; Si Wu 001; Wenhao Zhang 002 (NeurIPS, 2024)

A Differentiable Approach to Multi-scale Brain Modeling. - Chaoming Wang; Muyang Lyu; Tianqiu Zhang; Sichao He; Si Wu 001 (CoRR, 2024)

Learning sequence attractors in recurrent networks with hidden neurons. - Yao Lu; Si Wu 001 (Neural Networks, 2024)

Predictive Learning in Energy-based Models with Attractor Structures. - Xingsi Dong; Pengxiang Yuan; Si Wu 001 (CoRR, 2025)