Microscopic Equations in Rough Energy Landscape for Neural Networks. - K. Y. Michael Wong (NIPS, 1996)

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)

A new framework for modeling learning dynamics. - Y. W. Tong; K. Y. Michael Wong; Song Li (IJCNN, 1999)

Statistical Dynamics of Batch Learning. - Song Li; K. Y. Michael Wong (NIPS, 1999)

Stagewise Processing in Error-correcting Codes and Image Restoration. - K. Y. Michael Wong; Hidetoshi Nishimori (NIPS, 2000)

Fast Parameter Estimation Using Green's Functions. - K. Y. Michael Wong; F. Li (NIPS, 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)

Optimizing call admission control with QoS guarantee in a voice/data integrated cellular network using simulated annealing. - Tat-Chung Chau; K. Y. Michael Wong; Bo Li 001 (GLOBECOM, 2002)

Mean Field Approach to a Probabilistic Model in Information Retrieval. - Bin Wu; K. Y. Michael Wong; David Bodoff (NIPS, 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)

Agent-Based Modeling of Efficient Markets. - S. W. Lim; K. Y. Michael Wong; Peixun Luo (IDEAL, 2003)

Dynamics of Gradient-Based Learning and Applications to Hyperparameter Estimation. - K. Y. Michael Wong; Peixun Luo; Fuli Li (IDEAL, 2003)

Relevance data for language models using maximum likelihood. - David Bodoff; Bin Wu; K. Y. Michael Wong (J. Assoc. Inf. Sci. Technol., 2003)

Dynamic call admission control with connection level service guarantee in multi-service wireless cellular networks. - K. Y. Michael Wong; Gabriel Yik Keung; C. Li; Bo Li 001 (ICC, 2004)

Multi-agent Cooperation in Diverse Population Games. - K. Y. Michael Wong; S. W. Lim; Zhuo Gao (NIPS, 2004)

Smooth Performance Landscapes of the Variational Bayesian Approach. - Zhuo Gao; K. Y. Michael Wong (ICANN (2), 2005)

Message passing for task redistribution on sparse graphs. - K. Y. Michael Wong; David Saad; Zhuo Gao (NIPS, 2005)

Message-Passing for Inference and Optimization of Real Variables on Sparse Graphs. - K. Y. Michael Wong; Chi Ho Yeung; David Saad (ICONIP (2), 2006)

Optimal call admission control with QoS guarantee in a voice/data integrated cellular network. - Tat-Chung Chau; K. Y. Michael Wong; Bo Li 001 (IEEE Trans. Wirel. Commun., 2006)

Minimizing Unsatisfaction in Colorful Neighborhoods - K. Y. Michael Wong; David Saad (CoRR, 2007)

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

Network optimisation - A statistical physics perspective. - K. Y. Michael Wong; David Saad; Chi Ho Yeung (WiOpt, 2008)

Self-organized Balanced Resources in Random Networks with Transportation Bandwidths. - Chi Ho Yeung; K. Y. Michael Wong (Complex (1), 2009)

Emergence of algorithmically hard phases in transportation networks. - Chi Ho Yeung; K. Y. Michael Wong (WiOpt, 2009)

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)

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)

From the Physics of Interacting Polymers to Optimizing Routes on the London Underground. - Chi Ho Yeung; David Saad; K. Y. Michael Wong (CoRR, 2013)

Entropy landscape of solutions in the binary perceptron problem - Haiping Huang; K. Y. Michael Wong; Yoshiyuki Kabashima (CoRR, 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)

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)

"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)

Optimizing Synchronization Stability of the Kuramoto Model in Complex Networks and Power Grids. - Bo Li 082; K. Y. Michael Wong (CoRR, 2016)

Distributed Optimization in Transportation and Logistics Networks. - K. Y. Michael Wong; David Saad; Chi Ho Yeung (IEICE Trans. Commun., 2016)

Stability Enhancement Against Fluctuations in Complex Networks by Optimal Bandwidth Allocation. - K. Y. Henry Tsang; K. Y. Michael Wong (DepCoS-RELCOMEX, 2017)

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

The Dynamics of Bimodular Continuous Attractor Neural Networks with Moving Stimuli. - Min Yan; Wenhao Zhang 002; He Wang 004; K. Y. Michael Wong (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)

Enhancing Synchronization Stability in Complex Networks with Probabilistic Natural Frequencies. - K. Y. Henry Tsang; Bo Li 082; K. Y. Michael Wong (COMPLEX NETWORKS (1), 2018)

Gaussian Process Kernels for Noisy Time Series: Application to Housing Price Prediction. - Juntao Wang 002; Wun Kwan Yam; Kin Long Fong; Siew Ann Cheong; K. Y. Michael Wong (ICONIP (6), 2018)

Modelling Predictive Information of Stochastic Dynamics in the Retina. - Min Yan; Yiko Chen; C. K. Chan; K. Y. Michael Wong (ICONIP (7), 2018)

Modular Multilayer Neural Networks Integrate Multisensory Information Near-optimally. - Bat-Amgalan Bat-Erdene; He Wang 004; K. Y. Michael Wong (IJCNN, 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)

Minimal model of permutation symmetry in unsupervised learning. - Tianqi Hou; K. Y. Michael Wong; Haiping Huang (CoRR, 2019)

Switching Behavior and Control Policy of Congestion: Examples from Taiwan Highway System. - Kwong Tai Siu; Yulin Xu; Yee Man Tai; T. S. Choi; K. Y. Michael Wong; Kiwing To (New Math. Nat. Comput., 2020)

Intrinsic Quasi-Periodicity in Hong Kong Housing Price and Its Prediction. - Wun Kwan Yam; Kin Long Fong; Juntao Wang 002; Siew Ann Cheong; K. Y. Michael Wong (New Math. Nat. Comput., 2020)

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)