Zhengzhang Chen

124 papers A* 31A 18B 6Journal 53Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification. CoRR Rui Liu, Steven Jige Quan, Zhong-Ren Peng, Zijun Yao, Han Wang, Zhengzhang Chen, Kunpeng Liu, Yanjie Fu, Dongjie Wang
2026	—	`conf`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. EACL (Findings) Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026	A*	`conf`	Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. WWW Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen
2026	A*	`conf`	MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. AAAI Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026	J	`jnl`	MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. CoRR Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026	J	`jnl`	Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models. CoRR Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen
2026	—	`conf`	Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. EACL (Findings) Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026	J	`jnl`	Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. CoRR Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	A*	`conf`	Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. ICML Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li
2025	J	`jnl`	Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. CoRR Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li
2025	A	`conf`	Correlation-aware Online Change Point Detection. CIKM Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen
2025	A	`conf`	Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. SDM Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen
2025	—	`conf`	Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery. ACL (Findings) ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2025	J	`jnl`	Iterative Feature Space Optimization through Incremental Adaptive Evaluation. CoRR Yanping Wu, Yanyong Huang, Zhengzhang Chen, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang
2025	J	`jnl`	Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. CoRR Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Haifeng Chen, Yanjie Fu
2025	—	`conf`	MixLLM: Dynamic Routing in Mixed Large Language Models. NAACL (Long Papers) Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	J	`jnl`	MixLLM: Dynamic Routing in Mixed Large Language Models. CoRR Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	B	`conf`	Online Multi-Modal Root Cause Identification in Microservice Systems. IEEE Big Data Lecheng Zheng, Zhengzhang Chen, Haifeng Chen
2025	J	`jnl`	Representation Interventions Enable Lifelong Unstructured Knowledge Control. CoRR Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen
2025	J	`jnl`	Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating. CoRR Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen
2025	J	`jnl`	SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search. CoRR Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2024	J	`jnl`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2024	J	`jnl`	Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery. CoRR ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2024	J	`jnl`	LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen
2024	A*	`conf`	MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024	J	`jnl`	Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
2024	J	`jnl`	Online Multi-modal Root Cause Analysis. CoRR Lecheng Zheng, Zhengzhang Chen, Haifeng Chen, Jingrui He
2024	A*	`conf`	POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2024	J	`jnl`	RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection. CoRR Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao
2023	J	`jnl`	Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR 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
2023	J	`jnl`	Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023	—	`conf`	GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023	J	`jnl`	GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023	A*	`conf`	Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
2023	J	`jnl`	Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023	J	`jnl`	Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	A*	`conf`	Incremental Causal Graph Learning for Online Root Cause Analysis. KDD Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023	A*	`conf`	Interdependent Causal Networks for Root Cause Localization. KDD Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023	J	`jnl`	Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2022	J	`jnl`	Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2022	—	`conf`	Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang
2022	A*	`conf`	Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
2022	A*	`conf`	Towards Learning Disentangled Representations for Time Series. KDD Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022	B	`conf`	Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. IEEE Big Data Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
2021	J	`jnl`	Anomalous Event Sequence Detection. IEEE Intell. Syst. Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li
2021	A*	`conf`	AutoOD: Neural Architecture Search for Outlier Detection. ICDE Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021	A*	`conf`	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021	J	`jnl`	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021	A*	`conf`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	A*	`conf`	FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	A	`conf`	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021	J	`jnl`	Learning Disentangled Representations for Time Series. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
2021	A*	`conf`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021	B	`conf`	Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data. IJCNN Hui Hu, Mike Borowczak, Zhengzhang Chen
2021	A	`conf`	Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CIKM Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2021	J	`jnl`	Unsupervised Document Embedding via Contrastive Augmentation. CoRR Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2020	A*	`conf`	A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
2020	A*	`conf`	APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. ICDE Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen
2020	—	`conf`	Anomaly Detection on Web-User Behaviors Through Deep Learning. SecureComm (1) Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen
2020	A*	`conf`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2020	J	`jnl`	Introduction to the Special Issue on Retrieving and Learning from Internet of Things Data. Trans. Data Sci. Haibo Hu, Rik Sarkar, Zhengzhang Chen
2020	J	`jnl`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2020	J	`jnl`	Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CoRR Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2020	A*	`conf`	T ICDM Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	J	`jnl`	T CoRR Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	A	`conf`	This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. ACSAC Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, Adam Bates
2020	A*	`conf`	You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen
2019	J	`jnl`	Adversarial Defense Framework for Graph Neural Network. CoRR Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	A	`conf`	Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2019	A*	`conf`	Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Matching Networks. CoRR Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	A*	`conf`	NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. NDSS Wajih Ul Hassan, Shengjian Guo, Ding Li, Zhengzhang Chen, Kangkook Jee, Zhichun Li, Adam Bates
2018	A	`conf`	Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. CIKM Cheng Cao, Zhengzhang Chen, James Caverlee, Lu-An Tang, Chen Luo, Zhichun Li
2018	A	`conf`	Collaborative Alert Ranking for Anomaly Detection. CIKM Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li
2018	J	`jnl`	Deep Program Reidentification: A Graph Neural Network Solution. CoRR Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2018	A*	`conf`	TINET: Learning Invariant Networks via Knowledge Transfer. KDD Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye
2017	J	`jnl`	Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer. CoRR Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li
2017	A*	`conf`	Distinguish Polarity in Bag-of-Words Visualization. AAAI Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary
2017	A	`conf`	Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. CIKM Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen
2017	J	`jnl`	SILVERBACK+: scalable association mining via fast list intersection for columnar social data. Knowl. Inf. Syst. Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary
2016	A*	`conf`	Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
2016	J	`jnl`	Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic
2016	A*	`conf`	Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016	J	`jnl`	Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016	J	`jnl`	GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems. CoRR Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Haifeng Chen, Guofei Jiang
2016	A	`conf`	Integrating Community and Role Detection in Information Networks. SDM Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang
2016	A*	`conf`	Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
2015	—	`conf`	A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary
2015	A	`conf`	From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. SDM Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang
2015	—	`conf`	Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. SpringSim (HPS) Chen Jin, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary
2015	—	`conf`	Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. IC3 Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Zhengzhang Chen
2015	B	`conf`	Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. CCGRID Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary
2014	A	`conf`	Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. SDM Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary
2014	J	`jnl`	Data Compression for the Exascale Computing Era - Survey. Supercomput. Front. Innov. Seung Woo Son, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2014	B	`conf`	Indexing bipartite memberships in web graphs. ASONAM Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Ankit Agrawal, Alok N. Choudhary
2014	J	`jnl`	MuSES: Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intell. Syst. Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel Honbo, Ankit Agrawal, Alok N. Choudhary
2014	A	`conf`	NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. SC Zhengzhang Chen, Seung Woo Son, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2014	J	`jnl`	Solving the maximum duo-preservation string mapping problem with linear programming. Theor. Comput. Sci. Wenbin Chen, Zhengzhang Chen, Nagiza F. Samatova, Lingxi Peng, Jianxiong Wang, Maobin Tang
2013	B	`conf`	A probabilistic graphical model for brand reputation assessment in social networks. ASONAM Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2013	A	`conf`	Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. SDM Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi
2013	A	`conf`	Bootstrapping active name disambiguation with crowdsourcing. CIKM Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary
2013	A*	`conf`	Detecting and Tracking Disease Outbreaks by Mining Social Media Data. IJCAI Yusheng Xie, Zhengzhang Chen, Alok N. Choudhary
2013	J	`jnl`	Discovery of extreme events-related communities in contrasting groups of physical system networks. Data Min. Knowl. Discov. Zhengzhang Chen, William Hendrix, Hang Guan, Isaac K. Tetteh, Alok N. Choudhary, Fredrick H. M. Semazzi, Nagiza F. Samatova
2013	—	`conf`	Elver: Recommending Facebook pages in cold start situation without content features. IEEE BigData Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok N. Choudhary
2013	A	`conf`	Feedback-driven multiclass active learning for data streams. CIKM Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary
2013	A*	`conf`	Forecast Oriented Classification of Spatio-Temporal Extreme Events. IJCAI Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary
2013	A	`conf`	Graphical Modeling of Macro Behavioral Targeting in Social Networks. SDM Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang
2013	A*	`conf`	JobMiner: a real-time system for mining job-related patterns from social media. KDD Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo
2013	A	`conf`	Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. CIKM Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Lu Liu
2012	J	`jnl`	Community-based anomaly detection in evolutionary networks. J. Intell. Inf. Syst. Zhengzhang Chen, William Hendrix, Nagiza F. Samatova
2012	—	`conf`	Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. ICDM Workshops Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova
2012	J	`jnl`	Spice: discovery of phenotype-determining component interplays. BMC Syst. Biol. Zhengzhang Chen, Kanchana Padmanabhan, Andrea M. Rocha, Yekaterina Shpanskaya, James R. Mihelcic, Kathleen Scott, Nagiza F. Samatova
2011	A*	`conf`	Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. IJCAI Huseyin Sencan, Zhengzhang Chen, William Hendrix, Tatdow Pansombut, Fredrick H. M. Semazzi, Alok N. Choudhary, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova
2011	—	`conf`	Detecting Pathway Cross-Talks by Analyzing Conserved Functional Modules across Multiple Phenotype-Expressing Organisms. BIBM Kevin A. Wilson, Andrea M. Rocha, Kanchana Padmanabhan, Kuangyu Wang, Zhengzhang Chen, Ye Jin, James R. Mihelcic, Nagiza F. Samatova
2011	J	`jnl`	Efficient alpha, beta-motif Finder for Identification of Phenotype-related Functional Modules. BMC Bioinform. Matthew C. Schmidt, Andrea M. Rocha, Kanchana Padmanabhan, Zhengzhang Chen, Kathleen Scott, James R. Mihelcic, Nagiza F. Samatova
2010	—	`conf`	Detecting and Tracking Community Dynamics in Evolutionary Networks. ICDM Workshops Zhengzhang Chen, Kevin A. Wilson, Ye Jin, William Hendrix, Nagiza F. Samatova
2010	J	`jnl`	Inapproximability results for equations over infinite groups. Theor. Comput. Sci. Wenbin Chen, Dengpan Yin, Zhengzhang Chen
2007	—	`conf`	The Study on Software Optimization Technology of Remote Sensing Image Compression System Based on DSP Platform. MSA Zhengzhang Chen, Bo Li, Feifei Zhou, Xiaoyuan Yang, Qian Wang, Yong Shi
2007	—	`conf`	Wavelet Image Compression Based on Context Predicting With Past Information in Rows (Columns). ICNC (4) Xiaoyuan Yang, Hui Ren, Bo Li, Zhengzhang Chen