Zhengzhang Chen

Orcid: 0000-0002-6803-0535

According to our database1, Zhengzhang Chen authored at least 86 papers between 2007 and 2024.

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Bibliography

2024
Multi-modal Causal Structure Learning and Root Cause Analysis.
CoRR, 2024

2023
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.
CoRR, 2023

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.
CoRR, 2023

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization.
CoRR, 2023

Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interdependent Causal Networks for Root Cause Localization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Incremental Causal Graph Learning for Online Root Cause Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

2022
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-source Inductive Knowledge Graph Transfer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards Learning Disentangled Representations for Time Series.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Robust Graph Neural Networks via Adversarial Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Anomalous Event Sequence Detection.
IEEE Intell. Syst., 2021

Learning Disentangled Representations for Time Series.
CoRR, 2021

Unsupervised Document Embedding via Contrastive Augmentation.
CoRR, 2021

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

AutoOD: Neural Architecture Search for Outlier Detection.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Introduction to the Special Issue on Retrieving and Learning from Internet of Things Data.
Trans. Data Sci., 2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR, 2020

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Anomaly Detection on Web-User Behaviors Through Deep Learning.
Proceedings of the Security and Privacy in Communication Networks, 2020

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

T<sup>2</sup>-Net: A Semi-supervised Deep Model for Turbulence Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

APTrace: A Responsive System for Agile Enterprise Level Causality Analysis.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Heterogeneous Graph Matching Networks.
CoRR, 2019

Adversarial Defense Framework for Graph Neural Network.
CoRR, 2019

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage.
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Heterogeneous Graph Matching Networks for Unknown Malware Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Deep Program Reidentification: A Graph Neural Network Solution.
CoRR, 2018

TINET: Learning Invariant Networks via Knowledge Transfer.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Collaborative Alert Ranking for Anomaly Detection.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
SILVERBACK+: scalable association mining via fast list intersection for columnar social data.
Knowl. Inf. Syst., 2017

Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer.
CoRR, 2017

Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Distinguish Polarity in Bag-of-Words Visualization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Enhancing semi-supervised learning through label-aware base kernels.
Neurocomputing, 2016

GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems.
CoRR, 2016

Integrating Community and Role Detection in Information Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce.
Proceedings of the Symposium on High Performance Computing, 2015

From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization.
Proceedings of the Eighth International Conference on Contemporary Computing, 2015

Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

A Scalable Hierarchical Clustering Algorithm Using Spark.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014
Solving the maximum duo-preservation string mapping problem with linear programming.
Theor. Comput. Sci., 2014

Data Compression for the Exascale Computing Era - Survey.
Supercomput. Front. Innov., 2014

MuSES: Multilingual Sentiment Elicitation System for Social Media Data.
IEEE Intell. Syst., 2014

Batch Mode Active Learning with Hierarchical-Structured Embedded Variance.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing.
Proceedings of the International Conference for High Performance Computing, 2014

Indexing bipartite memberships in web graphs.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Discovery of extreme events-related communities in contrasting groups of physical system networks.
Data Min. Knowl. Discov., 2013

Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Graphical Modeling of Macro Behavioral Targeting in Social Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

JobMiner: a real-time system for mining job-related patterns from social media.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Detecting and Tracking Disease Outbreaks by Mining Social Media Data.
Proceedings of the IJCAI 2013, 2013

Forecast Oriented Classification of Spatio-Temporal Extreme Events.
Proceedings of the IJCAI 2013, 2013

Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Bootstrapping active name disambiguation with crowdsourcing.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Feedback-driven multiclass active learning for data streams.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Elver: Recommending Facebook pages in cold start situation without content features.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

A probabilistic graphical model for brand reputation assessment in social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Community-based anomaly detection in evolutionary networks.
J. Intell. Inf. Syst., 2012

Spice: discovery of phenotype-determining component interplays.
BMC Syst. Biol., 2012

Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Efficient alpha, beta-motif Finder for Identification of Phenotype-related Functional Modules.
BMC Bioinform., 2011

Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction.
Proceedings of the IJCAI 2011, 2011

Detecting Pathway Cross-Talks by Analyzing Conserved Functional Modules across Multiple Phenotype-Expressing Organisms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Inapproximability results for equations over infinite groups.
Theor. Comput. Sci., 2010

Detecting and Tracking Community Dynamics in Evolutionary Networks.
Proceedings of the ICDMW 2010, 2010

2007
The Study on Software Optimization Technology of Remote Sensing Image Compression System Based on DSP Platform.
Proceedings of the 2007 International Conference on Multimedia Systems and Applications, 2007

Wavelet Image Compression Based on Context Predicting With Past Information in Rows (Columns).
Proceedings of the Third International Conference on Natural Computation, 2007


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