Zhengzhang Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
21
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. | Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao |
| 2026 | ACL | Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs. | Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Haoyu Wang, Yujun Yan, Haifeng Chen, Zhengzhang Chen |
| 2026 | ACL | Uncertainty-Aware Test-Time Search for Optimization Problem Solving. | Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen |
| 2026 | ACL | LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory. | Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, Jundong Li, Haifeng Chen |
| 2026 | ACL | Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models. | Binchi Zhang, Xujiang Zhao, Jundong Li, Haifeng Chen, Zhengzhang Chen |
| 2026 | EACL | Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. | Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen |
| 2026 | EACL | Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. | Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2026 | WWW | Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. | Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen |
| 2025 | ACL | Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery. | ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni |
| 2025 | CIKM | Correlation-aware Online Change Point Detection. | Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen |
| 2025 | ICML | Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion. | Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li |
| 2025 | NAACL | MixLLM: Dynamic Routing in Mixed Large Language Models. | Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2025 | SDM | Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. | Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen |
| 2024 | KDD | POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. | Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen |
| 2024 | WWW | MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. | Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen |
| 2023 | KDD | Incremental Causal Graph Learning for Online Root Cause Analysis. | Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen |
| 2023 | KDD | Interdependent Causal Networks for Root Cause Localization. | Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen |
| 2022 | ICLR | Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. | Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen |
| 2022 | KDD | Towards Learning Disentangled Representations for Time Series. | Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu |
| 2021 | AAAI | Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. | Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson |
| 2021 | CIKM | Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. | Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen |
| 2021 | CIKM | Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. | Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen |
| 2021 | CVPR | FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. | Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik |
| 2021 | ICDE | AutoOD: Neural Architecture Search for Outlier Detection. | Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu |
| 2021 | IJCNN | Privacy-Preserving Fair Machine Learning Without Collecting Sensitive Demographic Data. | Hui Hu, Mike Borowczak, Zhengzhang Chen |
| 2021 | KDD | Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. | Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang |
| 2020 | AAAI | Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. | Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo |
| 2020 | ACSAC | This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage. | Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Dawei Wang, Zhengzhang Chen, Zhichun Li, Junghwan Rhee, Jiaping Gui, Adam Bates |
| 2020 | ICDE | APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. | Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen |
| 2020 | ICDM | T | Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong |
| 2020 | NDSS | You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. | Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen |
| 2020 | WWW | A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. | Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu |
| 2020 | SecureComm | Anomaly Detection on Web-User Behaviors Through Deep Learning. | Jiaping Gui, Zhengzhang Chen, Xiao Yu, Cristian Lumezanu, Haifeng Chen |
| 2019 | IJCAI | Heterogeneous Graph Matching Networks for Unknown Malware Detection. | Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu |
| 2019 | NDSS | NoDoze: Combatting Threat Alert Fatigue with Automated Provenance Triage. | Wajih Ul Hassan, Shengjian Guo, Ding Li, Zhengzhang Chen, Kangkook Jee, Zhichun Li, Adam Bates |
| 2019 | SDM | Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. | Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu |
| 2018 | CIKM | Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. | Cheng Cao, Zhengzhang Chen, James Caverlee, Lu-An Tang, Chen Luo, Zhichun Li |
| 2018 | CIKM | Collaborative Alert Ranking for Anomaly Detection. | Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li |
| 2018 | KDD | TINET: Learning Invariant Networks via Knowledge Transfer. | Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye |
| 2017 | AAAI | Distinguish Polarity in Bag-of-Words Visualization. | Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary |
| 2017 | CIKM | Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. | Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen |
| 2016 | IJCAI | Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. | Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang |
| 2016 | KDD | Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. | Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang |
| 2016 | KDD | Annealed Sparsity via Adaptive and Dynamic Shrinking. | Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye |
| 2016 | SDM | Integrating Community and Role Detection in Information Networks. | Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang |
| 2015 | CCGRID | Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. | Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary |
| 2015 | SDM | From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. | Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang |
| 2014 | SC | NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. | Zhengzhang Chen, Seung Woo Son, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary |
| 2014 | SDM | Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. | Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary |
| 2013 | CIKM | Feedback-driven multiclass active learning for data streams. | Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary |
| 2013 | CIKM | Bootstrapping active name disambiguation with crowdsourcing. | Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary |
| 2013 | CIKM | Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. | Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Lu Liu |
| 2013 | IJCAI | Forecast Oriented Classification of Spatio-Temporal Extreme Events. | Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary |
| 2013 | IJCAI | Detecting and Tracking Disease Outbreaks by Mining Social Media Data. | Yusheng Xie, Zhengzhang Chen, Alok N. Choudhary |
| 2013 | KDD | JobMiner: a real-time system for mining job-related patterns from social media. | Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo |
| 2013 | SDM | Graphical Modeling of Macro Behavioral Targeting in Social Networks. | Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang |
| 2013 | SDM | Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. | Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi |
| 2012 | ICDM | Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. | Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova |
| 2011 | IJCAI | Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. | Huseyin Sencan, Zhengzhang Chen, William Hendrix, Tatdow Pansombut, Fredrick H. M. Semazzi, Alok N. Choudhary, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova |
| 2010 | ICDM | Detecting and Tracking Community Dynamics in Evolutionary Networks. | Zhengzhang Chen, Kevin A. Wilson, Ye Jin, William Hendrix, Nagiza F. Samatova |
| 2007 | ICNC | Wavelet Image Compression Based on Context Predicting With Past Information in Rows (Columns). | Xiaoyuan Yang, Hui Ren, Bo Li, Zhengzhang Chen |