Zhengzhang Chen
Orcid: 0000-0002-6803-0535
According to our database1,
Zhengzhang Chen
authored at least 92 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection.
CoRR, 2024
CoRR, 2024
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.
Proceedings of the ACM on Web Conference 2024, 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
2023
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
CoRR, 2023
CoRR, 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 IEEE International Conference on Knowledge Graph, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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 Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
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
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
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
Proceedings of the Security and Privacy in Communication Networks, 2020
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
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
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
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
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Neurocomputing, 2016
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems.
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
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
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
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
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015
2014
Theor. Comput. Sci., 2014
Supercomput. Front. Innov., 2014
IEEE Intell. Syst., 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the International Conference for High Performance Computing, 2014
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
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the IJCAI 2013, 2013
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
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
J. Intell. Inf. Syst., 2012
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
Theor. Comput. Sci., 2010
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