Liang Zhao
Orcid: 0000-0002-2648-9989Affiliations:
- 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 244 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting.
IEEE Trans. Knowl. Data Eng., December, 2024
ACM Comput. Surv., September, 2024
ACM Comput. Surv., July, 2024
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv., May, 2024
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design.
Proc. ACM Hum. Comput. Interact., 2024
Deep graph representation learning influence maximization with accelerated inference.
Neural Networks, 2024
Frontiers Big Data, 2024
CoRR, 2024
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multi-modal Foundation Models.
CoRR, 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations.
CoRR, 2024
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs.
CoRR, 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
CoRR, 2024
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models.
CoRR, 2024
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR, 2024
CoRR, 2024
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration.
CoRR, 2024
CoRR, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
ACM Trans. Spatial Algorithms Syst., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Frontiers Big Data, January, 2023
Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities.
IEEE Trans. Knowl. Data Eng., 2023
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations.
Proc. ACM Hum. Comput. Interact., 2023
CoRR, 2023
CoRR, 2023
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy.
CoRR, 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data.
CoRR, 2023
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation.
CoRR, 2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR, 2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR, 2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023
CoRR, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023
2022
ACM Trans. Knowl. Discov. Data, 2022
ACM Trans. Knowl. Discov. Data, 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment.
Proc. ACM Hum. Comput. Interact., 2022
Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization.
Neurocomputing, 2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Beam Pattern Fingerprinting with Missing Features for Spoofing Attack Detection in Millimeter-Wave Networks.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Data Mining, 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
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Factorized deep generative models for end-to-end trajectory generation with spatiotemporal validity constraints.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Dataset for Disentangled Representation Learning for Interpretable Molecule Generation.
Dataset, April, 2021
Dataset for Generative Adversarial Learning of Protein Tertiary Structures. Molecules, 2021.
Dataset, February, 2021
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
Knowl. Inf. Syst., 2021
BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization.
Frontiers Neurorobotics, 2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR, 2021
CoRR, 2021
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR, 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
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
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 International Conference for High Performance Computing, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
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
GeoInformatica, 2020
Int. J. Digit. Earth, 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
CoRR, 2020
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
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
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
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
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
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
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
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
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
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
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 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
2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018.
ACM SIGSPATIAL Special, 2018
CoRR, 2018
J. Biomed. Semant., 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2018
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
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
IEEE Trans. Knowl. Data Eng., 2017
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proc. IEEE, 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.
CoRR, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.
Proceedings of the 34th International Conference on Machine Learning, 2017
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
Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News, 2017
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
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
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
ACM Trans. Spatial Algorithms Syst., 2016
A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.
ISPRS Int. J. Geo Inf., 2016
GeoInformatica, 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
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
ACM SIGSPATIAL Special, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
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
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.
Big Data, 2014
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013