Some Approximation Properties of Projection Pursuit Learning Networks. - Ying Zhao 006; Christopher G. Atkeson (NIPS, 1991)

A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition. - George Zavaliagkos; Ying Zhao 006; Richard M. Schwartz; John Makhoul (NIPS, 1992)

Segmental Neural Net Optimization for Continuous Speech Recognition. - Ying Zhao 006; Richard M. Schwartz; John Makhoul; George Zavaliagkos (NIPS, 1993)

Is N-Best Dead? - Long Nguyen 001; Richard M. Schwartz; Ying Zhao 006; George Zavaliagkos (HLT, 1994)

Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition. - Ying Zhao 006; Richard M. Schwartz; Jason J. Sroka; John Makhoul (NIPS, 1994)

A hybrid segmental neural net/hidden Markov model system for continuous speech recognition. - George Zavaliagkos; Ying Zhao 006; Richard M. Schwartz; John Makhoul (IEEE Trans. Speech Audio Process., 1994)

Multi-font recognition of printed Arabic using the BBN BYBLOS speech recognition system. - Christopher LaPre; Ying Zhao 006; Christopher Raphael; Richard M. Schwartz; John Makhoul (ICASSP, 1996)

Language-independent OCR using a continuous speech recognition system. - Richard M. Schwartz; Christopher LaPre; John Makhoul; Christopher Raphael; Ying Zhao 006 (ICPR, 1996)

Implementing projection pursuit learning. - Ying Zhao 006; Christopher G. Atkeson (IEEE Trans. Neural Networks, 1996)

Drug Characteristics Prediction. - Ying Zhao 006; Charles Zhou (CSB Workshops, 2005)

Large-scale Drug Function Prediction by Integrating QIS D2 and BioSpice. - Ying Zhao 006; Charles Zhou; Ian Oglesby; Cliff Zhou (CSB Workshops, 2005)

Facilitating Decision Making, Re-use and Collaboration - A Knowledge Management Approach for System Self-Awareness. - Shelley P. Gallup; Douglas J. MacKinnon; Ying Zhao 006; John Robey; Chris Odell (KMIS, 2009)

The Collaborative Learning Agent (CLA) in Trident Warrior 08 Exercise. - Charles Zhou; Ying Zhao 006; Chetan Kotak (KDIR, 2009)

Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID). - Ying Zhao 006; Tony Kendall; Bonnie Johnson (KDIR, 2016)

System self-awareness towards deep learning and discovering high-value information. - Ying Zhao 006; Charles C. Zhou (UEMCON, 2016)

Using D3 to Visualize Lexical Link Analysis (LLA) and ADS-B Data. - Quinn Halpin; Ying Zhao 006; Anthony Kendall (AAAI Fall Symposia, 2017)

Analysis of Automatic Dependent Surveillance-Broadcast Data. - Ryan Salcido; Anthony Kendall; Ying Zhao 006 (AAAI Fall Symposia, 2017)

A Framework Using Machine Vision and Deep Reinforcement Learning for Self-Learning Moving Objects in a Virtual Environment. - Richard Wu; Ying Zhao 006; Alan Clarke; Anthony Kendall (AAAI Fall Symposia, 2017)

Discovering High-Value Information from Crowdsourcing. - Ying Zhao 006; Douglas J. MacKinnon; Charles C. Zhou (ASONAM, 2017)

Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning. - Ying Zhao 006; Emily Mooren; Nate Derbinsky (KEOD, 2017)

Data and Deep Models Applied to Cyber Security Data Analysis. - Ying Zhao 006; Andrew Polk; Shaun Kallis; Lauren Jones; Riqui Schwamm; Tony Kendall (AAAI Fall Symposium: ALEC, 2018)

A Game-Theoretic Lexical Link Analysis for Discovering High-Value Information from Big Data. - Ying Zhao 006; Charles C. Zhou (ASONAM, 2018)

Multilayer Value Metrics Using Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-Sourcing. - Ying Zhao 006; Charles C. Zhou; Jennie K. Bellonio (ASONAM, 2018)

New Value Metrics using Unsupervised Machine Learning, Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-sourcing. - Ying Zhao 006; Charles Zhou; Jennie K. Bellonio (KEOD, 2018)

Reports of the AAAI 2017 Fall Symposium Series. - Arjuna Flenner; Marlena R. Fraune; Laura M. Hiatt; Tony Kendall; John E. Laird; Christian Lebiere; Paul S. Rosenbloom; Frank Stein; Elin Anna Topp; Vaibhav V. Unhelkar; Ying Zhao 006 (AI Mag., 2018)

Theory and use case of game-theoretic lexical link analysis. - Ying Zhao 006; Charles C. Zhou; Sihui Huang (ASONAM, 2019)

Visualization Techniques for Network Analysis and Link Analysis Algorithms. - Ying Zhao 006; Ralucca Gera; Quinn Halpin; Jesse Zhou (KDIR, 2019)

Causal Learning to Discover Supply Chain Vulnerability. - Ying Zhao 006; Jacob Jones; Douglas J. MacKinnon (KDIR, 2019)

Measures of Effectiveness (MoEs) for MarineNet: A Case Study for a Smart e-Learning Organization. - Ying Zhao 006; Tony Kendall; Riqui Schwamm (KMIS, 2019)

Collaborative Learning Agents (CLA) for Swarm Intelligence and Applications to Health Monitoring of System of Systems. - Ying Zhao 006; Charles C. Zhou (ICCS (3), 2019)

Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security. - Ying Zhao 006; Arjuna Flenner (AI Mag., 2019)

Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security Part Two. - Ying Zhao 006; Arjuna Flenner (AI Mag., 2019)

Leverage Artificial Intelligence to Learn, Optimize, and Win (LAILOW) for the Marine Maintenance and Supply Complex System. - Ying Zhao 006; Gabe E. Mata (ASONAM, 2020)

Deep Analytics for Management and Cybersecurity of the National Energy Grid. - Ying Zhao 006 (ICCS (5), 2020)

Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. - Ying Zhao 006; Erik Hemberg; Nate Derbinsky; Gabino Mata; Una-May O'Reilly (GECCO Companion, 2021)

Determining Policy Communication Effectiveness: A Lexical Link Analysis Approach. - Claire Dyer; Brian Wood; Ying Zhao 006; Douglas J. MacKinnon (KDIR, 2021)

Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. - Ying Zhao 006; Erik Hemberg; Nate Derbinsky; Gabino Mata; Una-May O'Reilly (GECCO Companion, 2022)

Quantum Theoretic Values of Collaborative and Self-organizing Agents. - Ying Zhao 006; Charles C. Zhou (ASONAM, 2023)

Knowledge Graphs (KG) Assisted Variational Autoencoder (VAE) for Large-Scale Anomaly and Event Detection. - Ying Zhao 006 (ASONAM (4), 2024)