Zhengzhang Chen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 67

Top Topics

Hierarchical Clustering

Top Venues

Publications

Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW (2024)
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR (2024)
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 (2024)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD (2024)
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 (2024)
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR (2023)
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 (2023)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR (2023)
Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
Incremental Causal Graph Learning for Online Root Cause Analysis. KDD (2023)
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
Interdependent Causal Networks for Root Cause Localization. KDD (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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. ICKG (2023)
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)
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
Towards Learning Disentangled Representations for Time Series. KDD (2022)
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)
Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. Big Data (2022)
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia (2021)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
Learning Disentangled Representations for Time Series. CoRR (2021)
Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM (2021)
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)
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 (2021)
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)
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. CIKM (2021)
Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li
Anomalous Event Sequence Detection. IEEE Intell. Syst. 36 (3) (2021)
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 (2021)
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
AutoOD: Neural Architecture Search for Outlier Detection. ICDE (2021)
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 (2021)
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 (2021)
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. KDD (2021)
Hui Hu, Mike Borowczak, Zhengzhang Chen
Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data. IJCNN (2021)
Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, Adam Bates
This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. ACSAC (2020)
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR (2020)
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)
Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen
APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE (2020)
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 (2020)
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 (2020)
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 (2020)
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)
Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen
Anomaly Detection on Web-User Behaviors Through Deep Learning. SecureComm (1) (2020)
Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW (2020)
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) (2020)
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM (2020)
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 (2020)
Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
Adversarial Defense Framework for Graph Neural Network. CoRR (2019)
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 for Unknown Malware Detection. IJCAI (2019)
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)
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)
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 (2019)
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 (2018)
Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li
Collaborative Alert Ranking for Anomaly Detection. CIKM (2018)
Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye
TINET: Learning Invariant Networks via Knowledge Transfer. KDD (2018)
Cheng Cao, Zhengzhang Chen, James Caverlee, Lu-An Tang, Chen Luo, Zhichun Li
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. CIKM (2018)
Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. CIKM (2017)
Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary
SILVERBACK+: scalable association mining via fast list intersection for columnar social data. Knowl. Inf. Syst. 50 (3) (2017)
Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary
Distinguish Polarity in Bag-of-Words Visualization. AAAI (2017)
Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer. CoRR (2017)
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI (2016)
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 (2016)
Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic
Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing 171 (2016)
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang
Integrating Community and Role Detection in Information Networks. SDM (2016)
Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD (2016)
Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD (2016)
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR (2016)
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)
Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService (2015)
Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Zhengzhang Chen
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. IC3 (2015)
Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary
Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. CCGRID (2015)
Chen Jin, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. SpringSim (HPS) (2015)
Wenbin Chen, Zhengzhang Chen, Nagiza F. Samatova, Lingxi Peng, Jianxiong Wang, Maobin Tang
Solving the maximum duo-preservation string mapping problem with linear programming. Theor. Comput. Sci. 530 (2014)
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel Honbo, Ankit Agrawal, Alok N. Choudhary
MuSES: Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intell. Syst. 29 (4) (2014)
Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Ankit Agrawal, Alok N. Choudhary
Indexing bipartite memberships in web graphs. ASONAM (2014)
Zhengzhang Chen, Seung Woo Son, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. SC (2014)
Seung Woo Son, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
Data Compression for the Exascale Computing Era - Survey. Supercomput. Front. Innov. 1 (2) (2014)
Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary
Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. SDM (2014)
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)
Yusheng Xie, Zhengzhang Chen, Alok N. Choudhary
Detecting and Tracking Disease Outbreaks by Mining Social Media Data. IJCAI (2013)
Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary
Bootstrapping active name disambiguation with crowdsourcing. CIKM (2013)
Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo
JobMiner: a real-time system for mining job-related patterns from social media. KDD (2013)
Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
A probabilistic graphical model for brand reputation assessment in social networks. ASONAM (2013)
Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang
Graphical Modeling of Macro Behavioral Targeting in Social Networks. SDM (2013)
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)
Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Lu Liu
Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. CIKM (2013)
Zhengzhang Chen, William Hendrix, Hang Guan, Isaac K. Tetteh, Alok N. Choudhary, Fredrick H. M. Semazzi, Nagiza F. Samatova
Discovery of extreme events-related communities in contrasting groups of physical system networks. Data Min. Knowl. Discov. 27 (2) (2013)
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok N. Choudhary
Elver: Recommending Facebook pages in cold start situation without content features. IEEE BigData (2013)
Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary
Feedback-driven multiclass active learning for data streams. CIKM (2013)
Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova
Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. ICDM Workshops (2012)
Zhengzhang Chen, Kanchana Padmanabhan, Andrea M. Rocha, Yekaterina Shpanskaya, James R. Mihelcic, Kathleen Scott, Nagiza F. Samatova
Spice: discovery of phenotype-determining component interplays. BMC Syst. Biol. 6 (2012)
Zhengzhang Chen, William Hendrix, Nagiza F. Samatova
Community-based anomaly detection in evolutionary networks. J. Intell. Inf. Syst. 39 (1) (2012)
Kevin A. Wilson, Andrea M. Rocha, Kanchana Padmanabhan, Kuangyu Wang, Zhengzhang Chen, Ye Jin, James R. Mihelcic, Nagiza F. Samatova
Detecting Pathway Cross-Talks by Analyzing Conserved Functional Modules across Multiple Phenotype-Expressing Organisms. BIBM (2011)
Matthew C. Schmidt, Andrea M. Rocha, Kanchana Padmanabhan, Zhengzhang Chen, Kathleen Scott, James R. Mihelcic, Nagiza F. Samatova
Efficient alpha, beta-motif Finder for Identification of Phenotype-related Functional Modules. BMC Bioinform. 12 (2011)
Huseyin Sencan, Zhengzhang Chen, William Hendrix, Tatdow Pansombut, Fredrick H. M. Semazzi, Alok N. Choudhary, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova
Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. IJCAI (2011)
Wenbin Chen, Dengpan Yin, Zhengzhang Chen
Inapproximability results for equations over infinite groups. Theor. Comput. Sci. 411 (26-28) (2010)
Zhengzhang Chen, Kevin A. Wilson, Ye Jin, William Hendrix, Nagiza F. Samatova
Detecting and Tracking Community Dynamics in Evolutionary Networks. ICDM Workshops (2010)
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)
Xiaoyuan Yang, Hui Ren, Bo Li, Zhengzhang Chen
Wavelet Image Compression Based on Context Predicting With Past Information in Rows (Columns). ICNC (4) (2007)