A Novel Net that Learns Sequential Decision Process. - Guo-Zheng Sun; Yee-Chun Lee; Hsing-Hen Chen (NIPS, 1987)

Parallel sequential induction networks: a new paradigm of neural network architecture. - Guo-Zheng Sun; H. H. Chen; Yee-Chun Lee (ICNN, 1988)

A neural network approach to speech recognition. - Yee-Chun Lee; Hsing-Hen Chen; Guo-Zheng Sun (Neural Networks, 1988)

Learning decision trees using parallel sequential induction network. - Guo-Zheng Sun; Hsing-Hen Chen; Yee-Chun Lee (Neural Networks, 1988)

Higher Order Recurrent Networks and Grammatical Inference. - C. Lee Giles; Guo-Zheng Sun; Hsing-Hen Chen; Yee-Chun Lee; Dong Chen 001 (NIPS, 1989)

Function approximation and time series prediction with neural networks. - R. D. Jones; Yee-Chun Lee; C. W. Barnes; Gary William Flake; K. Lee; Paul S. Lewis; S. Qian (IJCNN, 1990)

Function approximation with an orthogonal basis net. - S. Qian; Yee-Chun Lee; R. D. Jones; C. W. Barnes; K. Lee (IJCNN, 1990)

Recurrent neural networks, hidden Markov models and stochastic grammars. - Guo-Zheng Sun; H. H. Chen; Yee-Chun Lee; C. Lee Giles (IJCNN, 1990)

Extracting and Learning an Unknown Grammar with Recurrent Neural Networks. - C. Lee Giles; Clifford B. Miller; Dong Chen 001; Guo-Zheng Sun; Hsing-Hen Chen; Yee-Chun Lee (NIPS, 1991)

Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks. - Guo-Zheng Sun; Hsing-Hen Chen; Yee-Chun Lee (NIPS, 1991)

Time Warping Invariant Neural Networks. - Guo-Zheng Sun; Hsing-Hen Chen; Yee-Chun Lee (NIPS, 1992)

Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks. - C. Lee Giles; Clifford B. Miller; Dong Chen 001; Hsing-Hen Chen; Guo-Zheng Sun; Yee-Chun Lee (Neural Comput., 1992)

Constructive learning of recurrent neural networks. - Dong Chen 001; C. Lee Giles; Guo-Zheng Sun; H. H. Chen; Yee-Chun Lee; Mark W. Goudreau (ICNN, 1993)

Exploiting Chaos to Control the Future. - Gary William Flake; Guo-Zheng Sun; Yee-Chun Lee; Hsing-Hen Chen (NIPS, 1993)

Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution. - C. Lee Giles; Dong Chen 001; Guo-Zheng Sun; Hsing-Hen Chen; Yee-Chun Lee; Mark W. Goudreau (IEEE Trans. Neural Networks, 1995)

The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations. - Guo-Zheng Sun; C. Lee Giles; Hsing-Hen Chen; Yee-Chun Lee (CoRR, 2017)