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Zhengzhang Chen
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2020 – today
- 2024
- [c61]Junxiang Wang
, Guangji Bai
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD 2024: 3140-3151 - [c60]Lecheng Zheng
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW 2024: 4107-4116 - [i25]Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen:
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR abs/2402.02357 (2024) - [i24]Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen:
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024) - [i23]Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao:
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection. CoRR abs/2407.09698 (2024) - 2023
- [c59]Yufei Li
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG 2023: 9-18 - [c58]Dongjie Wang
Incremental Causal Graph Learning for Online Root Cause Analysis. KDD 2023: 2269-2278 - [c57]Dongjie Wang
Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-5060 - [c56]Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu:
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS 2023 - [i22]Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen:
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR abs/2302.01987 (2023) - [i21]Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen:
Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR abs/2305.10638 (2023) - [i20]Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - [i19]Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao:
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR abs/2309.03433 (2023) - [i18]Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu:
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR abs/2309.05953 (2023) - [i17]Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR abs/2312.12276 (2023) - 2022
- [j13]Yuening Li
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022) - [c55]Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu:
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. IEEE Big Data 2022: 636-645 - [c54]Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen:
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR 2022 - [c53]Yuening Li, Zhengzhang Chen
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - [c52]Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang:
Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) 2022: 155-171 - 2021
- [j12]Boxiang Dong
Anomalous Event Sequence Detection. IEEE Intell. Syst. 36(3): 5-13 (2021) - [c51]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI 2021: 651-659 - [c50]Jingchao Ni, Zhengzhang Chen
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM 2021: 1366-1375 - [c49]Lei Cai, Zhengzhang Chen
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CIKM 2021: 3747-3756 - [c48]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [c47]Yuening Li, Zhengzhang Chen
AutoOD: Neural Architecture Search for Outlier Detection. ICDE 2021: 2117-2122 - [c46]Hui Hu, Mike Borowczak
Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data. IJCNN 2021: 1-9 - [c45]Zhiwei Wang, Zhengzhang Chen
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD 2021: 3726-3734 - [c44]Xinyang Feng
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia 2021: 5546-5554 - [i16]Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR abs/2103.02164 (2021) - [i15]Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang:
Unsupervised Document Embedding via Contrastive Augmentation. CoRR abs/2103.14542 (2021) - [i14]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - [i13]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i12]Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR abs/2107.13720 (2021) - 2020
- [j11]Haibo Hu, Rik Sarkar, Zhengzhang Chen:
Introduction to the Special Issue on Retrieving and Learning from Internet of Things Data. Trans. Data Sci. 1(4): 24:1 (2020) - [c43]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI 2020: 7667-7674 - [c42]Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen
This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. ACSAC 2020: 165-178 - [c41]Jiaping Gui, Ding Li, Zhengzhang Chen
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE 2020: 1701-1712 - [c40]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM 2020: 1388-1393 - [c39]Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen:
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS 2020 - [c38]Jiaping Gui, Zhengzhang Chen
Anomaly Detection on Web-User Behaviors Through Deep Learning. SecureComm (1) 2020: 467-473 - [c37]Pengyang Wang, Jiaping Gui, Zhengzhang Chen
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW 2020: 2144-2154 - [i11]Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo:
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR abs/2001.04346 (2020) - [i10]Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CoRR abs/2005.07427 (2020) - [i9]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR abs/2006.11321 (2020) - [i8]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR abs/2008.13361 (2020) - [i7]Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong:
T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR abs/2010.13903 (2020)
2010 – 2019
- 2019
- [c36]Shen Wang, Zhengzhang Chen
Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI 2019: 3762-3770 - [c35]Wajih Ul Hassan, Shengjian Guo, Ding Li, Zhengzhang Chen, Kangkook Jee, Zhichun Li, Adam Bates:
NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. NDSS 2019 - [c34]Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM 2019: 693-701 - [i6]Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu:
Adversarial Defense Framework for Graph Neural Network. CoRR abs/1905.03679 (2019) - [i5]Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu:
Heterogeneous Graph Matching Networks. CoRR abs/1910.08074 (2019) - 2018
- [c33]Cheng Cao, Zhengzhang Chen
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. CIKM 2018: 1977-1985 - [c32]Ying Lin, Zhengzhang Chen
Collaborative Alert Ranking for Anomaly Detection. CIKM 2018: 1987-1995 - [c31]Chen Luo, Zhengzhang Chen
TINET: Learning Invariant Networks via Knowledge Transfer. KDD 2018: 1890-1899 - [i4]Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Deep Program Reidentification: A Graph Neural Network Solution. CoRR abs/1812.04064 (2018) - 2017
- [j10]Yusheng Xie, Zhengzhang Chen
SILVERBACK+: scalable association mining via fast list intersection for columnar social data. Knowl. Inf. Syst. 50(3): 969-997 (2017) - [c30]Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. AAAI 2017: 3344-3350 - [c29]Boxiang Dong, Zhengzhang Chen
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. CIKM 2017: 707-715 - [i3]Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li:
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer. CoRR abs/1708.07867 (2017) - 2016
- [j9]Qiaojun Wang, Kai Zhang, Zhengzhang Chen
Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing 171: 1335-1343 (2016) - [c28]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI 2016: 1396-1403 - [c27]Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD 2016: 805-814 - [c26]Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD 2016: 1325-1334 - [c25]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang:
Integrating Community and Role Detection in Information Networks. SDM 2016: 72-80 - [i2]Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Haifeng Chen, Guofei Jiang:
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems. CoRR abs/1608.02639 (2016) - [i1]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR abs/1608.07502 (2016) - 2015
- [c24]Chen Jin, Ruoqian Liu, Zhengzhang Chen
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService 2015: 418-426 - [c23]Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen
Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. CCGRID 2015: 565-575 - [c22]Ruoqian Liu, Ankit Agrawal
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. IC3 2015: 13-18 - [c21]Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang:
From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. SDM 2015: 46-54 - [c20]Chen Jin, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. SpringSim (HPS) 2015: 83-92 - 2014
- [j8]Yusheng Xie, Zhengzhang Chen
MuSES: Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intell. Syst. 29(4): 34-42 (2014) - [j7]Seung Woo Son, Zhengzhang Chen
Data Compression for the Exascale Computing Era - Survey. Supercomput. Front. Innov. 1(2): 76-88 (2014) - [j6]Wenbin Chen
Solving the maximum duo-preservation string mapping problem with linear programming. Theor. Comput. Sci. 530: 1-11 (2014) - [c19]Yusheng Xie, Zhengzhang Chen
Indexing bipartite memberships in web graphs. ASONAM 2014: 166-173 - [c18]Zhengzhang Chen
NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. SC 2014: 733-744 - [c17]Yu Cheng, Zhengzhang Chen
Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. SDM 2014: 10-18 - 2013
- [j5]Zhengzhang Chen
Discovery of extreme events-related communities in contrasting groups of physical system networks. Data Min. Knowl. Discov. 27(2): 225-258 (2013) - [c16]Kunpeng Zhang, Doug Downey, Zhengzhang Chen
A probabilistic graphical model for brand reputation assessment in social networks. ASONAM 2013: 223-230 - [c15]Yusheng Xie, Zhengzhang Chen
Elver: Recommending Facebook pages in cold start situation without content features. IEEE BigData 2013: 475-479 - [c14]Yu Cheng, Zhengzhang Chen
Bootstrapping active name disambiguation with crowdsourcing. CIKM 2013: 1213-1216 - [c13]Yu Cheng, Zhengzhang Chen
Feedback-driven multiclass active learning for data streams. CIKM 2013: 1311-1320 - [c12]Yusheng Xie, Zhengzhang Chen
Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. CIKM 2013: 1473-1476 - [c11]Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary:
Forecast Oriented Classification of Spatio-Temporal Extreme Events. IJCAI 2013: 2952-2954 - [c10]Yusheng Xie, Zhengzhang Chen, Alok N. Choudhary:
Detecting and Tracking Disease Outbreaks by Mining Social Media Data. IJCAI 2013: 2958-2961 - [c9]Yu Cheng, Yusheng Xie, Zhengzhang Chen
JobMiner: a real-time system for mining job-related patterns from social media. KDD 2013: 1450-1453 - [c8]Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi:
Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. SDM 2013: 494-502 - [c7]Ankit Agrawal
Graphical Modeling of Macro Behavioral Targeting in Social Networks. SDM 2013: 740-748 - 2012
- [j4]Zhengzhang Chen
Spice: discovery of phenotype-determining component interplays. BMC Syst. Biol. 6: 40 (2012) - [j3]Zhengzhang Chen
Community-based anomaly detection in evolutionary networks. J. Intell. Inf. Syst. 39(1): 59-85 (2012) - [c6]Doel L. Gonzalez, Zhengzhang Chen
Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. ICDM Workshops 2012: 781-788 - 2011
- [j2]Matthew C. Schmidt, Andrea M. Rocha, Kanchana Padmanabhan, Zhengzhang Chen
Efficient alpha, beta-motif Finder for Identification of Phenotype-related Functional Modules. BMC Bioinform. 12: 440 (2011) - [c5]Kevin A. Wilson, Andrea M. Rocha, Kanchana Padmanabhan, Kuangyu Wang, Zhengzhang Chen
Detecting Pathway Cross-Talks by Analyzing Conserved Functional Modules across Multiple Phenotype-Expressing Organisms. BIBM 2011: 443-449 - [c4]Huseyin Sencan, Zhengzhang Chen
Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. IJCAI 2011: 1478-1484 - 2010
- [j1]Wenbin Chen, Dengpan Yin, Zhengzhang Chen
Inapproximability results for equations over infinite groups. Theor. Comput. Sci. 411(26-28): 2513-2519 (2010) - [c3]Zhengzhang Chen
Detecting and Tracking Community Dynamics in Evolutionary Networks. ICDM Workshops 2010: 318-327
2000 – 2009
- 2007
- [c2]Xiaoyuan Yang, Hui Ren, Bo Li, Zhengzhang Chen
Wavelet Image Compression Based on Context Predicting With Past Information in Rows (Columns). ICNC (4) 2007: 629-636 - [c1]Zhengzhang Chen, Bo Li, Feifei Zhou, Xiaoyuan Yang, Qian Wang, Yong Shi:
The Study on Software Optimization Technology of Remote Sensing Image Compression System Based on DSP Platform. MSA 2007: 145-
Coauthor Index
[c61] [c60] [i25] [i24] [i23] [c59] [c58] [c57] [c56] [i22] [i21] [i20] [i19] [i18] [i17] [j13] [c55] [c54] [c53] [c52] [j12] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [i16] [i15] [i14] [i13] [i12] [c43] [c41] [c40] [c39] [c38] [c37] [i11] [i10] [i9] [i8] [i7] [c36] [c34] [i6] [i5] [c31] [i4] [c29] [c27] [c26] [c25] [i2]
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