Liang Zhao

Affiliations:
  • Emory University, Atlanta, GA, USA
  • George Mason University, Department of Information Science and Technology, Fairfax, VA, USA (former)
  • Virginia Tech, Blacksburg, VA, USA (PhD 2016)


According to our database1, Liang Zhao authored at least 133 papers between 2013 and 2022.

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Bibliography

2022
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data, 2022

Online and Distributed Robust Regressions with Extremely Noisy Labels.
ACM Trans. Knowl. Discov. Data, 2022

Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization.
Neurocomputing, 2022

Controllable Data Generation by Deep Learning: A Review.
CoRR, 2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR, 2022

Temporal Domain Generalization with Drift-Aware Dynamic Neural Network.
CoRR, 2022

Interpretable Molecular Graph Generation via Monotonic Constraints.
CoRR, 2022

Black-box Node Injection Attack for Graph Neural Networks.
CoRR, 2022

Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment.
CoRR, 2022

Deep Generative Model for Periodic Graphs.
CoRR, 2022

Small molecule generation via disentangled representation learning.
Bioinform., 2022

An Invertible Graph Diffusion Neural Network for Source Localization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Convergence and Applications of ADMM on the Multi-convex Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RES: A Robust Framework for Guiding Visual Explanation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Saliency-Regularized Deep Multi-Task Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Adaptive Kernel Graph Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Disentangled Spatiotemporal Graph Generative Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph.
IEEE Trans. Knowl. Data Eng., 2021

CPM: A general feature dependency pattern mining framework for contrast multivariate time series.
Pattern Recognit., 2021

Schematic memory persistence and transience for efficient and robust continual learning.
Neural Networks, 2021

Deep graph transformation for attributed, directed, and signed networks.
Knowl. Inf. Syst., 2021

BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization.
Frontiers Neurorobotics, 2021

Deep Graph Learning for Circuit Deobfuscation.
Frontiers Big Data, 2021

Time series clustering in linear time complexity.
Data Min. Knowl. Discov., 2021

Event Prediction in the Big Data Era: A Systematic Survey.
ACM Comput. Surv., 2021

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR, 2021

A Convergent ADMM Framework for Efficient Neural Network Training.
CoRR, 2021

Community-based Layerwise Distributed Training of Graph Convolutional Networks.
CoRR, 2021

Heterogeneous Temporal Graph Neural Network.
CoRR, 2021

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
CoRR, 2021

Sign-regularized Multi-task Learning.
CoRR, 2021

Integrating memory-mapping and N-dimensional hash function for fast and efficient grid-based climate data query.
Ann. GIS, 2021

TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Disentangled Dynamic Graph Deep Generation.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
Proceedings of the SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, Missouri, USA, November 14, 2021

GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Deep Generative Models for Spatial Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Property Controllable Variational Autoencoder via Invertible Mutual Dependence.
Proceedings of the 9th International Conference on Learning Representations, 2021

GNES: Learning to Explain Graph Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Deep Latent-Variable Models for Controllable Molecule Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Deep Graph Spectral Evolution Networks for Graph Topological Evolution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment.
ACM Trans. Spatial Algorithms Syst., 2020

Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2020

Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification Over Encrypted Wi-Fi Traffic.
IEEE Trans. Inf. Forensics Secur., 2020

Online flu epidemiological deep modeling on disease contact network.
GeoInformatica, 2020

Taking the pulse of COVID-19: a spatiotemporal perspective.
Int. J. Digit. Earth, 2020

Online Decision Trees with Fairness.
CoRR, 2020

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR, 2020

Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints.
CoRR, 2020

Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.
CoRR, 2020

A Systematic Survey on Deep Generative Models for Graph Generation.
CoRR, 2020

TG-GAN: Deep Generative Models for Continuously-time Temporal Graph Generation.
CoRR, 2020

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.
CoRR, 2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
CoRR, 2020

Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.
IEEE Access, 2020

Interpretable Deep Graph Generation with Node-edge Co-disentanglement.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks.
Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints.
ACM Trans. Spatial Algorithms Syst., 2019

Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.
ACM Trans. Knowl. Discov. Data, 2019

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.
ACM SIGSPATIAL Special, 2019

BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization.
CoRR, 2019

Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
CoRR, 2019

Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning.
CoRR, 2019

Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network.
Proceedings of the World Wide Web Conference, 2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient Global String Kernel with Random Features: Beyond Counting Substructures.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

ADMM for Efficient Deep Learning with Global Convergence.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Spatio-temporal Event Forecasting and Precursor Identification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Interpreting and Evaluating Neural Network Robustness.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Machine Learning-Based Delay-Aware UAV Detection Over Encrypted Wi-Fi Traffic.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-stage Deep Classifier Cascades for Open World Recognition.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Graph Translation.
CoRR, 2018

Adverse event detection by integrating twitter data and VAERS.
J. Biomed. Semant., 2018

Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Forecasting Gang Homicides with Multi-level Multi-task Learning.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Prediction-time Efficient Classification Using Feature Computational Dependencies.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Media based Simulation Models for Understanding Disease Dynamics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Regression via Online Feature Selection Under Adversarial Data Corruption.
Proceedings of the IEEE International Conference on Data Mining, 2018

Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features.
Proceedings of the IEEE International Conference on Data Mining, 2018

KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations.
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2018

Situation-Based Interpretable Learning for Personality Prediction in Social Media.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network.
Proceedings of the 34th Annual Computer Security Applications Conference, 2018

Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2017

Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proc. IEEE, 2017

Robust Regression via Heuristic Hard Thresholding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online and Distributed Robust Regressions Under Adversarial Data Corruption.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Modeling and Prediction of People's Needs (Vision Paper).
Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2017

A Uniform Representation for Trajectory Learning Tasks.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

TRACES: Generating Twitter stories via shared subspace and temporal smoothness.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A natural language normalization approach to enhance social media text reasoning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Determining Relative Airport Threats from News and Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Online Spatial Event Forecasting in Microblogs.
ACM Trans. Spatial Algorithms Syst., 2016

A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.
ISPRS Int. J. Geo Inf., 2016

Automatic targeted-domain spatiotemporal event detection in twitter.
GeoInformatica, 2016

A topic-focused trust model for Twitter.
Comput. Commun., 2016

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-resolution Spatial Event Forecasting in Social Media.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
How events unfold: spatiotemporal mining in social media.
ACM SIGSPATIAL Special, 2015

Spatiotemporal Event Forecasting in Social Media.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multi-Task Learning for Spatio-Temporal Event Forecasting.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Dynamic theme tracking in Twitter.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Misinformation Propagation in the Age of Twitter.
Computer, 2014

Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.
Big Data, 2014


The EMBERS architecture for streaming predictive analytics.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
STED: semi-supervised targeted-interest event detectionin in twitter.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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