Ying Zhao

Orcid: 0000-0001-8350-4033

Affiliations:
  • Naval Postgraduate School, Monterey, CA, USA
  • Quantum Intelligence, Inc., Santa Clara, CA, USA (former)
  • MIT, Artificial Intelligence Laboratory, Cambridge, MA, USA (former)
  • BBN Systems and Technologies, Cambridge, MA, USA (former)


According to our database1, Ying Zhao authored at least 38 papers between 1991 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Quantum Theoretic Values of Collaborative and Self-organizing Agents.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Determining Policy Communication Effectiveness: A Lexical Link Analysis Approach.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Deep Analytics for Management and Cybersecurity of the National Energy Grid.
Proceedings of the Computational Science - ICCS 2020, 2020

Leverage Artificial Intelligence to Learn, Optimize, and Win (LAILOW) for the Marine Maintenance and Supply Complex System.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security Part Two.
AI Mag., 2019

Deep Models, Machine Learning, and Artificial Intelligence Applications in National and International Security.
AI Mag., 2019

Collaborative Learning Agents (CLA) for Swarm Intelligence and Applications to Health Monitoring of System of Systems.
Proceedings of the Computational Science - ICCS 2019, 2019

Measures of Effectiveness (MoEs) for MarineNet: A Case Study for a Smart e-Learning Organization.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Causal Learning to Discover Supply Chain Vulnerability.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Visualization Techniques for Network Analysis and Link Analysis Algorithms.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Theory and use case of game-theoretic lexical link analysis.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Reports of the AAAI 2017 Fall Symposium Series.
AI Mag., 2018

New Value Metrics using Unsupervised Machine Learning, Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-sourcing.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Multilayer Value Metrics Using Lexical Link Analysis and Game Theory for Discovering Innovation from Big Data and Crowd-Sourcing.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Game-Theoretic Lexical Link Analysis for Discovering High-Value Information from Big Data.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Data and Deep Models Applied to Cyber Security Data Analysis.
Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), 2018

2017
Reinforcement Learning for Modeling Large-Scale Cognitive Reasoning.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Discovering High-Value Information from Crowdsourcing.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

A Framework Using Machine Vision and Deep Reinforcement Learning for Self-Learning Moving Objects in a Virtual Environment.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

Analysis of Automatic Dependent Surveillance-Broadcast Data.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

Using D3 to Visualize Lexical Link Analysis (LLA) and ADS-B Data.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
System self-awareness towards deep learning and discovering high-value information.
Proceedings of the 7th IEEE Annual Ubiquitous Computing, 2016

Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID).
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

2009
The Collaborative Learning Agent (CLA) in Trident Warrior 08 Exercise.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Facilitating Decision Making, Re-use and Collaboration - A Knowledge Management Approach for System Self-Awareness.
Proceedings of the KMIS 2009 - Proceedings of the International Conference on Knowledge Management and Information Sharing, Funchal, 2009

2005
Large-scale Drug Function Prediction by Integrating QIS D2 and BioSpice.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

Drug Characteristics Prediction.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

1996
Implementing projection pursuit learning.
IEEE Trans. Neural Networks, 1996

Language-independent OCR using a continuous speech recognition system.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Multi-font recognition of printed Arabic using the BBN BYBLOS speech recognition system.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Hierarchical mixtures of experts methodology applied to continuous speech recognition.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A hybrid segmental neural net/hidden Markov model system for continuous speech recognition.
IEEE Trans. Speech Audio Process., 1994

Is N-Best Dead?
Proceedings of the Human Language Technology, 1994

1993
Segmental Neural Net Optimization for Continuous Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Some Approximation Properties of Projection Pursuit Learning Networks.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991


  Loading...