Ying Zhao - RankMe

42 papers B 7C 2Misc 2Journal 5Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Discovering Root Causes of Risks Using Counterfactual Knowledge Graphs (CKG). ASONAM (3) Ying Zhao, Gabe E. Mata, Jesse Zhou, Charles C. Zhou
2025	—	`conf`	Scoring the Impact of Unstructured Data Using Quantum Properties. ASONAM (3) Ying Zhao, Charles C. Zhou
2024	—	`conf`	Knowledge Graphs (KG) Assisted Variational Autoencoder (VAE) for Large-Scale Anomaly and Event Detection. ASONAM (4) Ying Zhao
2023	B	`conf`	Quantum Theoretic Values of Collaborative and Self-organizing Agents. ASONAM Ying Zhao, Charles C. Zhou
2022	—	`conf`	Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. GECCO Companion Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
2021	—	`conf`	Determining Policy Communication Effectiveness: A Lexical Link Analysis Approach. KDIR Claire Dyer, Brian Wood, Ying Zhao, Douglas J. MacKinnon
2021	—	`conf`	Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. GECCO Companion Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly
2020	—	`conf`	Deep Analytics for Management and Cybersecurity of the National Energy Grid. ICCS (5) Ying Zhao
2020	B	`conf`	Leverage Artificial Intelligence to Learn, Optimize, and Win (LAILOW) for the Marine Maintenance and Supply Complex System. ASONAM Ying Zhao, Gabe E. Mata
2019	—	`conf`	Causal Learning to Discover Supply Chain Vulnerability. KDIR Ying Zhao, Jacob Jones, Douglas J. MacKinnon
2019	—	`conf`	Collaborative Learning Agents (CLA) for Swarm Intelligence and Applications to Health Monitoring of System of Systems. ICCS (3) Ying Zhao, Charles C. Zhou
2019	J	`jnl`	Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security Part Two. AI Mag. Ying Zhao, Arjuna Flenner
2019	J	`jnl`	Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security. AI Mag. Ying Zhao, Arjuna Flenner
2019	—	`conf`	Measures of Effectiveness (MoEs) for MarineNet: A Case Study for a Smart e-Learning Organization. KMIS Ying Zhao, Tony Kendall, Riqui Schwamm
2019	B	`conf`	Theory and use case of game-theoretic lexical link analysis. ASONAM Ying Zhao, Charles C. Zhou, Sihui Huang
2019	—	`conf`	Visualization Techniques for Network Analysis and Link Analysis Algorithms. KDIR Ying Zhao, Ralucca Gera, Quinn Halpin, Jesse Zhou
2018	B	`conf`	A Game-Theoretic Lexical Link Analysis for Discovering High-Value Information from Big Data. ASONAM Ying Zhao, Charles C. Zhou
2018	—	`conf`	Data and Deep Models Applied to Cyber Security Data Analysis. AAAI Fall Symposium: ALEC Ying Zhao, Andrew Polk, Shaun Kallis, Lauren Jones, Riqui Schwamm, Tony Kendall
2018	B	`conf`	Multilayer Value Metrics Using Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-Sourcing. ASONAM Ying Zhao, Charles C. Zhou, Jennie K. Bellonio
2018	C	`conf`	New Value Metrics using Unsupervised Machine Learning, Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-sourcing. KEOD Ying Zhao, Charles Zhou, Jennie K. Bellonio
2018	J	`jnl`	Reports of the AAAI 2017 Fall Symposium Series. AI Mag. 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
2017	—	`conf`	A Framework Using Machine Vision and Deep Reinforcement Learning for Self-Learning Moving Objects in a Virtual Environment. AAAI Fall Symposia Richard Wu, Ying Zhao, Alan Clarke, Anthony Kendall
2017	—	`conf`	Analysis of Automatic Dependent Surveillance-Broadcast Data. AAAI Fall Symposia Ryan Salcido, Anthony Kendall, Ying Zhao
2017	B	`conf`	Discovering High-Value Information from Crowdsourcing. ASONAM Ying Zhao, Douglas J. MacKinnon, Charles C. Zhou
2017	C	`conf`	Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning. KEOD Ying Zhao, Emily Mooren, Nate Derbinsky
2017	—	`conf`	Using D3 to Visualize Lexical Link Analysis (LLA) and ADS-B Data. AAAI Fall Symposia Quinn Halpin, Ying Zhao, Anthony Kendall
2016	—	`conf`	Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID). KDIR Ying Zhao, Tony Kendall, Bonnie Johnson
2016	—	`conf`	System self-awareness towards deep learning and discovering high-value information. UEMCON Ying Zhao, Charles C. Zhou
2009	—	`conf`	Facilitating Decision Making, Re-use and Collaboration - A Knowledge Management Approach for System Self-Awareness. KMIS Shelley P. Gallup, Douglas J. MacKinnon, Ying Zhao, John Robey, Chris Odell
2009	—	`conf`	The Collaborative Learning Agent (CLA) in Trident Warrior 08 Exercise. KDIR Charles Zhou, Ying Zhao, Chetan Kotak
2005	—	`conf`	Drug Characteristics Prediction. CSB Workshops Ying Zhao, Charles Zhou
2005	—	`conf`	Large-scale Drug Function Prediction by Integrating QIS D2 and BioSpice. CSB Workshops Ying Zhao, Charles Zhou, Ian Oglesby, Cliff Zhou
1996	J	`jnl`	Implementing projection pursuit learning. IEEE Trans. Neural Networks Ying Zhao, Christopher G. Atkeson
1996	B	`conf`	Language-independent OCR using a continuous speech recognition system. ICPR Richard M. Schwartz, Christopher LaPre, John Makhoul, Christopher Raphael, Ying Zhao
1996	Misc	`conf`	Multi-font recognition of printed Arabic using the BBN BYBLOS speech recognition system. ICASSP Christopher LaPre, Ying Zhao, Christopher Raphael, Richard M. Schwartz, John Makhoul
1995	Misc	`conf`	Hierarchical mixtures of experts methodology applied to continuous speech recognition. ICASSP Ying Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul
1994	J	`jnl`	A hybrid segmental neural net/hidden Markov model system for continuous speech recognition. IEEE Trans. Speech Audio Process. George Zavaliagkos, Ying Zhao, Richard M. Schwartz, John Makhoul
1994	—	`conf`	Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition. NIPS Ying Zhao, Richard M. Schwartz, Jason J. Sroka, John Makhoul
1994	—	`conf`	Is N-Best Dead? HLT Long Nguyen, Richard M. Schwartz, Ying Zhao, George Zavaliagkos
1993	—	`conf`	Segmental Neural Net Optimization for Continuous Speech Recognition. NIPS Ying Zhao, Richard M. Schwartz, John Makhoul, George Zavaliagkos
1992	—	`conf`	A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition. NIPS George Zavaliagkos, Ying Zhao, Richard M. Schwartz, John Makhoul
1991	—	`conf`	Some Approximation Properties of Projection Pursuit Learning Networks. NIPS Ying Zhao, Christopher G. Atkeson