Ying Zhao

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 24

Top Topics

Artificial Intelligence

Top Venues

AAAI Fall Symposia

Publications

Ying Zhao, Charles C. Zhou
Quantum Theoretic Values of Collaborative and Self-organizing Agents. ASONAM (2023)
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion (2022)
Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion (2021)
Claire Dyer, Brian Wood, Ying Zhao, Douglas J. MacKinnon
Determining Policy Communication Effectiveness: A Lexical Link Analysis Approach. KDIR (2021)
Ying Zhao
Deep Analytics for Management and Cybersecurity of the National Energy Grid. ICCS (5) (2020)
Ying Zhao, Arjuna Flenner
Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security Part Two. AI Mag. 40 (2) (2019)
Ying Zhao, Arjuna Flenner
Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security. AI Mag. 40 (1) (2019)
Ying Zhao, Ralucca Gera, Quinn Halpin, Jesse Zhou
Visualization Techniques for Network Analysis and Link Analysis Algorithms. KDIR (2019)
Ying Zhao, Charles C. Zhou, Sihui Huang
Theory and use case of game-theoretic lexical link analysis. ASONAM (2019)
Ying Zhao, Charles C. Zhou
Collaborative Learning Agents (CLA) for Swarm Intelligence and Applications to Health Monitoring of System of Systems. ICCS (3) (2019)
Ying Zhao, Jacob Jones, Douglas J. MacKinnon
Causal Learning to Discover Supply Chain Vulnerability. KDIR (2019)
Ying Zhao, Tony Kendall, Riqui Schwamm
Measures of Effectiveness (MoEs) for MarineNet: A Case Study for a Smart e-Learning Organization. KMIS (2019)
Ying Zhao, Charles C. Zhou
A Game-Theoretic Lexical Link Analysis for Discovering High-Value Information from Big Data. ASONAM (2018)
Ying Zhao, Charles C. Zhou, Jennie K. Bellonio
Multilayer Value Metrics Using Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-Sourcing. ASONAM (2018)
Ying Zhao, Charles Zhou, Jennie K. Bellonio
New Value Metrics using Unsupervised Machine Learning, Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-sourcing. KEOD (2018)
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
Reports of the AAAI 2017 Fall Symposium Series. AI Mag. 39 (2) (2018)
Ying Zhao, Andrew Polk, Shaun Kallis, Lauren Jones, Riqui Schwamm, Tony Kendall
Data and Deep Models Applied to Cyber Security Data Analysis. AAAI Fall Symposium: ALEC (2018)
Ryan Salcido, Anthony Kendall, Ying Zhao
Analysis of Automatic Dependent Surveillance-Broadcast Data. AAAI Fall Symposia (2017)
Quinn Halpin, Ying Zhao, Anthony Kendall
Using D3 to Visualize Lexical Link Analysis (LLA) and ADS-B Data. AAAI Fall Symposia (2017)
Ying Zhao, Emily Mooren, Nate Derbinsky
Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning. KEOD (2017)
Richard Wu, Ying Zhao, Alan Clarke, Anthony Kendall
A Framework Using Machine Vision and Deep Reinforcement Learning for Self-Learning Moving Objects in a Virtual Environment. AAAI Fall Symposia (2017)
Ying Zhao, Douglas J. MacKinnon, Charles C. Zhou
Discovering High-Value Information from Crowdsourcing. ASONAM (2017)
Ying Zhao, Tony Kendall, Bonnie Johnson
Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID). KDIR (2016)
Ying Zhao, Charles C. Zhou
System self-awareness towards deep learning and discovering high-value information. UEMCON (2016)
Shelley P. Gallup, Douglas J. MacKinnon, Ying Zhao, John Robey, Chris Odell
Facilitating Decision Making, Re-use and Collaboration - A Knowledge Management Approach for System Self-Awareness. KMIS (2009)
Charles Zhou, Ying Zhao, Chetan Kotak
The Collaborative Learning Agent (CLA) in Trident Warrior 08 Exercise. KDIR (2009)
Ying Zhao, Charles Zhou
Drug Characteristics Prediction. CSB Workshops (2005)
Ying Zhao, Charles Zhou, Ian Oglesby, Cliff Zhou
Large-scale Drug Function Prediction by Integrating QIS D2 and BioSpice. CSB Workshops (2005)
Richard M. Schwartz, Christopher LaPre, John Makhoul, Christopher Raphael, Ying Zhao
Language-independent OCR using a continuous speech recognition system. ICPR (1996)
Christopher LaPre, Ying Zhao, Christopher Raphael, Richard M. Schwartz, John Makhoul
Multi-font recognition of printed Arabic using the BBN BYBLOS speech recognition system. ICASSP (1996)
Ying Zhao, Christopher G. Atkeson
Implementing projection pursuit learning. IEEE Trans. Neural Networks 7 (2) (1996)
Ying Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul
Hierarchical mixtures of experts methodology applied to continuous speech recognition. ICASSP (1995)
Long Nguyen, Richard M. Schwartz, Ying Zhao, George Zavaliagkos
Is N-Best Dead? HLT (1994)
Ying Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul
Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition. NIPS (1994)
George Zavaliagkos, Ying Zhao, Richard M. Schwartz, John Makhoul
A hybrid segmental neural net/hidden Markov model system for continuous speech recognition. IEEE Trans. Speech Audio Process. 2 (1) (1994)
Ying Zhao, Richard M. Schwartz, John Makhoul, George Zavaliagkos
Segmental Neural Net Optimization for Continuous Speech Recognition. NIPS (1993)
George Zavaliagkos, Ying Zhao, Richard M. Schwartz, John Makhoul
A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition. NIPS (1992)
Ying Zhao, Christopher G. Atkeson
Some Approximation Properties of Projection Pursuit Learning Networks. NIPS (1991)