| 2025 | AAAI | Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. | Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal |
| 2025 | CIKM | Fast Outlier Detection in Oblique Subspaces. | Bowen Li, Charu C. Aggarwal, Peixiang Zhao |
| 2025 | ICLR | Precedence-Constrained Winter Value for Effective Graph Data Valuation. | Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma |
| 2025 | WSDM | Edge Classification on Graphs: New Directions in Topological Imbalance. | Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr |
| 2024 | AAAI | Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. | Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr |
| 2024 | CIKM | Ensembles for Outlier Detection and Evaluation. | Charu C. Aggarwal |
| 2024 | ICLR | Sharpness-Aware Data Poisoning Attack. | Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2024 | ICML | Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. | Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar |
| 2024 | IJCAI | Instance-Level Metalearning for Outlier Detection. | Long Vu, Peter Kirchner, Charu C. Aggarwal, Horst Samulowitz |
| 2024 | KDD | Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. | Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu |
| 2023 | EMNLP | Distance-Based Propagation for Efficient Knowledge Graph Reasoning. | Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang |
| 2023 | ICDE | Jointly Attacking Graph Neural Network and its Explanations. | Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal |
| 2022 | ICDM | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | KDD | Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. | Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang |
| 2022 | TrustCom | TINKER: A framework for Open source Cyberthreat Intelligence. | Nidhi Rastogi, Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal |
| 2021 | CIKM | Graph Feature Gating Networks. | Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang |
| 2021 | KDD | Toward Explainable Deep Anomaly Detection. | Guansong Pang, Charu C. Aggarwal |
| 2021 | RANLP | Syntax Matters! Syntax-Controlled in Text Style Transfer. | Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal |
| 2021 | SDM | Signature-Based Anomaly Detection in Networks. | Charu C. Aggarwal, Yao Li, Philip S. Yu |
| 2020 | AAAI | Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. | Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang |
| 2020 | CEC | Survey on Applications of Multi-Armed and Contextual Bandits. | Djallel Bouneffouf, Irina Rish, Charu C. Aggarwal |
| 2020 | CIKM | Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. | Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang |
| 2020 | EMNLP | SetConv: A New Approach for Learning from Imbalanced Data. | Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan |
| 2020 | ICDM | Graph Pooling with Representativeness. | Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang |
| 2020 | IJCNN | Survey on Automated End-to-End Data Science? | Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray |
| 2020 | WSDM | Epidemic Graph Convolutional Network. | Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2020 | SDM | On Supervised Change Detection in Graph Streams. | Charu C. Aggarwal, Yao Li, Philip S. Yu |
| 2019 | CIKM | Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2019 | DIS | Ensemble Clustering for Novelty Detection in Data Streams. | Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cludio Rebelo de S, Joo Mendes-Moreira, Charu C. Aggarwal, Andr C. P. L. F. de Carvalho, Joost N. Kok |
| 2019 | ICDE | Meta Diagram Based Active Social Networks Alignment. | Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang |
| 2019 | ICDM | Improving Spectral Clustering with Deep Embedding and Cluster Estimation. | Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe |
| 2019 | ICDM | Efficient Data Representation by Selecting Prototypes with Importance Weights. | Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal |
| 2019 | ICDM | Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines. | Saket Sathe, Charu C. Aggarwal |
| 2019 | ICDM | Self-Attentive Attributed Network Embedding Through Adversarial Learning. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang |
| 2019 | IJCNN | Transfer Learning for Network Classification. | Bowen Dong, Charu C. Aggarwal, Philip S. Yu |
| 2019 | KDD | Graph Convolutional Networks with EigenPooling. | Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang |
| 2019 | KDD | Efficient Global String Kernel with Random Features: Beyond Counting Substructures. | Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal |
| 2019 | KDD | Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding. | Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal |
| 2019 | SDM | Multi-dimensional Graph Convolutional Networks. | Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang |
| 2018 | CIKM | Signed Network Modeling Based on Structural Balance Theory. | Tyler Derr, Charu C. Aggarwal, Jiliang Tang |
| 2018 | ICDE | Ensemble Direct Density Ratio Estimation for Multistream Classification. | Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, Charu C. Aggarwal |
| 2018 | KDD | You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. | Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal |
| 2018 | KDD | Scalable Spectral Clustering Using Random Binning Features. | Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal |
| 2018 | KDD | NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang |
| 2018 | KDD | Learning Deep Network Representations with Adversarially Regularized Autoencoders. | Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang |
| 2018 | SIGIR | Extracting Real-Time Insights from Graphs and Social Streams. | Charu C. Aggarwal |
| 2018 | SDM | Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. | Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal |
| 2018 | SDM | Modeling Co-Evolution Across Multiple Networks. | Wenchao Yu, Charu C. Aggarwal, Wei Wang |
| 2017 | BigData | Real Time Social Attitude Expression Prediction. | Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui |
| 2017 | CIKM | Attributed Signed Network Embedding. | Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu |
| 2017 | CIKM | Outlier Detection in Sparse Data with Factorization Machines. | Mengxiao Zhu, Charu C. Aggarwal, Shuai Ma, Hui Zhang, Jinpeng Huai |
| 2017 | ICDCS | Rumor Initiator Detection in Infected Signed Networks. | Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu |
| 2017 | ICDE | On Edge Classification in Networks with Structure and Content. | Charu C. Aggarwal, Yao Li, Philip S. Yu, Yuchen Zhao |
| 2017 | ICDE | Efficient Multistream Classification Using Direct Density Ratio Estimation. | Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal |
| 2017 | ICDM | BiCycle: Item Recommendation with Life Cycles. | Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong |
| 2017 | ICDM | Kernel-Based Feature Extraction for Collaborative Filtering. | Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu |
| 2017 | IJCAI | Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang |
| 2017 | INFOCOM | Unveiling polarization in social networks: A matrix factorization approach. | Md. Tanvir Al Amin, Charu C. Aggarwal, Shuochao Yao, Tarek F. Abdelzaher, Lance M. Kaplan |
| 2017 | KDD | REMIX: Automated Exploration for Interactive Outlier Detection. | Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong |
| 2017 | KDD | Unsupervised P2P Rental Recommendations via Integer Programming. | Yanjie Fu, Guannan Liu, Mingfei Teng, Charu C. Aggarwal |
| 2017 | KDD | Similarity Forests. | Saket Sathe, Charu C. Aggarwal |
| 2017 | KDD | Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2017 | KDD | Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. | Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal |
| 2017 | KDD | Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. | Liheng Zhang, Charu C. Aggarwal, Guo-Jun Qi |
| 2017 | WSDM | Temporally Factorized Network Modeling for Evolutionary Network Analysis. | Wenchao Yu, Charu C. Aggarwal, Wei Wang |
| 2017 | SDM | Outlier Detection with Autoencoder Ensembles. | Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga |
| 2017 | SDM | Outlier Detection for Text Data. | Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park |
| 2017 | SDM | Using a Random Forest to Inspire a Neural Network and Improving on It. | Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2017 | SDM | Signed Network Embedding in Social Media. | Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu |
| 2017 | SDM | Exploiting Hierarchical Structures for Unsupervised Feature Selection. | Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu |
| 2016 | CIKM | An Adaptive Framework for Multistream Classification. | Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal |
| 2016 | CIKM | Recommendations For Streaming Data. | Karthik Subbian, Charu C. Aggarwal, Kshiteesh Hegde |
| 2016 | CIKM | Linked Document Embedding for Classification. | Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu |
| 2016 | ICDE | Edge classification in networks. | Charu C. Aggarwal, Gewen He, Peixiang Zhao |
| 2016 | ICDE | Efficient handling of concept drift and concept evolution over Stream Data. | Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal |
| 2016 | ICDE | An embedding approach to anomaly detection. | Renjun Hu, Charu C. Aggarwal, Shuai Ma, Jinpeng Huai |
| 2016 | ICDE | Link prediction in graph streams. | Peixiang Zhao, Charu C. Aggarwal, Gewen He |
| 2016 | ICDM | On Dense Subgraphs in Signed Network Streams. | Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal |
| 2016 | ICDM | Efficient Sampling-Based Kernel Mean Matching. | Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal |
| 2016 | ICDM | Subspace Outlier Detection in Linear Time with Randomized Hashing. | Saket Sathe, Charu C. Aggarwal |
| 2016 | WWW | Recommendations in Signed Social Networks. | Jiliang Tang, Charu C. Aggarwal, Huan Liu |
| 2016 | WSDM | Scaling up Link Prediction with Ensembles. | Liang Duan, Charu C. Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai |
| 2016 | WSDM | Querying and Tracking Influencers in Social Streams. | Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava |
| 2016 | WSDM | The Troll-Trust Model for Ranking in Signed Networks. | Zhaoming Wu, Charu C. Aggarwal, Jimeng Sun |
| 2016 | SDM | Kernelized Matrix Factorization for Collaborative Filtering. | Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe |
| 2016 | SDM | LODES: Local Density Meets Spectral Outlier Detection. | Saket Sathe, Charu C. Aggarwal |
| 2016 | SDM | Node Classification in Signed Social Networks. | Jiliang Tang, Charu C. Aggarwal, Huan Liu |
| 2015 | EDBT | Big Graph Privacy. | Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker |
| 2015 | ICDE | On historical diagnosis of sensor streams. | Charu C. Aggarwal, Philip S. Yu |
| 2015 | ICDE | STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream. | Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu C. Aggarwal, Jianbin Huang |
| 2015 | KDD | Heterogeneous Network Embedding via Deep Architectures. | Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2015 | KDD | State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. | Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno |
| 2015 | WSDM | On Integrating Network and Community Discovery. | Jialu Liu, Charu C. Aggarwal, Jiawei Han |
| 2015 | WSDM | Negative Link Prediction in Social Media. | Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu |
| 2015 | SDM | GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. | Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han |
| 2015 | SDM | Rare Class Detection in Networks. | Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar |
| 2015 | SDM | Towards Classification of Social Streams. | Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang |
| 2015 | SSDBM | Privacy-preserving big data publishing. | Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker |
| 2014 | DCOSS | Data Extrapolation in Social Sensing for Disaster Response. | Siyu Gu, Chenji Pan, Hengchang Liu, Shen Li, Shaohan Hu, Lu Su, Shiguang Wang, Dong Wang, Md. Tanvir Al Amin, Ramesh Govindan, Charu C. Aggarwal, Raghu K. Ganti, Mudhakar Srivatsa, Amotz Barnoy, Peter Terlecky, Tarek F. Abdelzaher |
| 2014 | EDBT | A Condensation Approach to Privacy Preserving Data Mining. | Charu C. Aggarwal, Philip S. Yu |
| 2014 | ICDM | Stream Mining Using Statistical Relational Learning. | Swarup Chandra, Justin Sahs, Latifur Khan, Bhavani Thuraisingham, Charu C. Aggarwal |
| 2014 | ICDM | Learning Local Semantic Distances with Limited Supervision. | Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang |
| 2014 | ICDM | Factorized Similarity Learning in Networks. | Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang |
| 2014 | KDD | The setwise stream classification problem. | Charu C. Aggarwal |
| 2014 | WSDM | Ranking in heterogeneous social media. | Min-Hsuan Tsai, Charu C. Aggarwal, Thomas S. Huang |
| 2014 | SDM | Towards Breaking the Curse of Dimensionality for High-Dimensional Privacy. | Hessam Zakerzadeh, Charu C. Aggarwal, Ken Barker |
| 2014 | SSDBM | Node classification in uncertain graphs. | Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas |
| 2013 | AISTATS | Unsupervised Link Selection in Networks. | Quanquan Gu, Charu C. Aggarwal, Jiawei Han |
| 2013 | CIKM | Content-centric flow mining for influence analysis in social streams. | Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava |
| 2013 | ICDCS | Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications. | Dong Wang, Tarek F. Abdelzaher, Lance M. Kaplan, Charu C. Aggarwal |
| 2013 | ICDE | Link prediction across networks by biased cross-network sampling. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2013 | ICDM | On Anomalous Hotspot Discovery in Graph Streams. | Weiren Yu, Charu C. Aggarwal, Shuai Ma, Haixun Wang |
| 2013 | KDD | Selective sampling on graphs for classification. | Quanquan Gu, Charu C. Aggarwal, Jialu Liu, Jiawei Han |
| 2013 | WWW | Mining collective intelligence in diverse groups. | Guo-Jun Qi, Charu C. Aggarwal, Jiawei Han, Thomas S. Huang |
| 2013 | WSDM | Online community detection in social sensing. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2013 | SDM | Community Detection with Prior Knowledge. | Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Philip S. Yu |
| 2012 | EDBT | Searching by corpus with fingerprints. | Charu C. Aggarwal, Wangqun Lin, Philip S. Yu |
| 2012 | ICDE | On Text Clustering with Side Information. | Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu |
| 2012 | ICDE | Community Detection with Edge Content in Social Media Networks. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2012 | ICDM | Reliable Clustering on Uncertain Graphs. | Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen |
| 2012 | ICDM | Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. | Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani Thuraisingham |
| 2012 | WSDM | On clustering heterogeneous social media objects with outlier links. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2012 | WSDM | When will it happen?: relationship prediction in heterogeneous information networks. | Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla |
| 2012 | SDM | The Multi-Set Stream Clustering Problem. | Charu C. Aggarwal |
| 2012 | SDM | On Influential Node Discovery in Dynamic Social Networks. | Charu C. Aggarwal, Shuyang Lin, Philip S. Yu |
| 2012 | SDM | Event Detection in Social Streams. | Charu C. Aggarwal, Karthik Subbian |
| 2012 | SDM | On Dynamic Link Inference in Heterogeneous Networks. | Charu C. Aggarwal, Yan Xie, Philip S. Yu |
| 2012 | SDM | Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2012 | SECON | On scalability and robustness limitations of real and asymptotic confidence bounds in social sensing. | Dong Wang, Lance M. Kaplan, Tarek F. Abdelzaher, Charu C. Aggarwal |
| 2011 | CVPR | Towards cross-category knowledge propagation for learning visual concepts. | Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang |
| 2011 | DCOSS | On sensor selection in linked information networks. | Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun |
| 2011 | DCOSS | Optimizing quality-of-information in cost-sensitive sensor data fusion. | Dong Wang, Hossein Ahmadi, Tarek F. Abdelzaher, Harshavardhan Chenji, Radu Stoleru, Charu C. Aggarwal |
| 2011 | FUSION | On Bayesian interpretation of fact-finding in information networks. | Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal |
| 2011 | ICDE | On dimensionality reduction of massive graphs for indexing and retrieval. | Charu C. Aggarwal, Haixun Wang |
| 2011 | ICDE | Outlier detection in graph streams. | Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu |
| 2011 | ICDM | On the Hardness of Graph Anonymization. | Charu C. Aggarwal, Yao Li, Philip S. Yu |
| 2011 | ICDM | Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. | Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham |
| 2011 | KDD | On dynamic data-driven selection of sensor streams. | Charu C. Aggarwal, Yan Xie, Philip S. Yu |
| 2011 | KDD | Discovering highly reliable subgraphs in uncertain graphs. | Ruoming Jin, Lin Liu, Charu C. Aggarwal |
| 2011 | WWW | Towards semantic knowledge propagation from text corpus to web images. | Guojun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2011 | SDM | On Classification of Graph Streams. | Charu C. Aggarwal |
| 2011 | SDM | On Flow Authority Discovery in Social Networks. | Charu C. Aggarwal, Arijit Khan, Xifeng Yan |
| 2011 | SDM | On Node Classification in Dynamic Content-based Networks. | Charu C. Aggarwal, Nan Li |
| 2011 | SDM | Towards Community Detection in Locally Heterogeneous Networks. | Charu C. Aggarwal, Yan Xie, Philip S. Yu |
| 2011 | SDM | On Anonymization of Multi-graphs. | Chun Li, Charu C. Aggarwal, Jianyong Wang |
| 2010 | CIKM | On wavelet decomposition of uncertain time series data sets. | Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu |
| 2010 | ICDM | Addressing Concept-Evolution in Concept-Drifting Data Streams. | Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham |
| 2010 | SIGIR | Graphical models for text: a new paradigm for text representation and processing. | Charu C. Aggarwal, Peixiang Zhao |
| 2010 | SDM | On Multidimensional Sharpening of Uncertain Data. | Charu C. Aggarwal |
| 2010 | SDM | The Generalized Dimensionality Reduction Problem. | Charu C. Aggarwal |
| 2010 | SDM | On Classification of High-Cardinality Data Streams. | Charu C. Aggarwal, Philip S. Yu |
| 2010 | SDM | On Clustering Graph Streams. | Charu C. Aggarwal, Yuchen Zhao, Philip S. Yu |
| 2009 | ICDE | A Framework for Clustering Massive-Domain Data Streams. | Charu C. Aggarwal |
| 2009 | ICDE | On High Dimensional Projected Clustering of Uncertain Data Streams. | Charu C. Aggarwal |
| 2009 | ICDE | On Efficient Query Processing of Stream Counts on the Cell Processor. | Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu |
| 2009 | KDD | Frequent pattern mining with uncertain data. | Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang |
| 2009 | SDM | On Segment-Based Stream Modeling and Its Applications. | Charu C. Aggarwal |
| 2008 | ICDE | On Unifying Privacy and Uncertain Data Models. | Charu C. Aggarwal |
| 2008 | ICDE | A Framework for Clustering Uncertain Data Streams. | Charu C. Aggarwal, Philip S. Yu |
| 2008 | ICDE | LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. | Charu C. Aggarwal, Philip S. Yu |
| 2008 | ICDE | On High Dimensional Indexing of Uncertain Data. | Charu C. Aggarwal, Philip S. Yu |
| 2008 | SDM | Outlier Detection with Uncertain Data. | Charu C. Aggarwal, Philip S. Yu |
| 2008 | SDM | On Indexing High Demensional Data with Uncertainty. | Charu C. Aggarwal, Philip S. Yu |
| 2007 | ICDE | On Randomization, Public Information and the Curse of Dimensionality. | Charu C. Aggarwal |
| 2007 | ICDE | On Density Based Transforms for Uncertain Data Mining. | Charu C. Aggarwal |
| 2007 | KDD | A framework for classification and segmentation of massive audio data streams. | Charu C. Aggarwal |
| 2007 | KDD | Xproj: a framework for projected structural clustering of xml documents. | Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki |
| 2007 | KDD | On string classification in data streams. | Charu C. Aggarwal, Philip S. Yu |
| 2007 | VLDB | Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. | Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang |
| 2007 | SDM | On Point Sampling Versus Space Sampling for Dimensionality Reduction. | Charu C. Aggarwal |
| 2007 | SDM | On Privacy-Preservation of Text and Sparse Binary Data with Sketches. | Charu C. Aggarwal, Philip S. Yu |
| 2007 | SDM | On Anonymization of String Data. | Charu C. Aggarwal, Philip S. Yu |
| 2007 | SDM | Discriminating Subsequence Discovery for Sequence Clustering. | Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal |
| 2006 | EDBT | On Futuristic Query Processing in Data Streams. | Charu C. Aggarwal |
| 2006 | ICDE | On the Inverse Classification Problem and its Applications. | Charu C. Aggarwal, Chen Chen, Jiawei Han |
| 2006 | KDD | On privacy preservation against adversarial data mining. | Charu C. Aggarwal, Jian Pei, Bo Zhang |
| 2006 | VLDB | On Biased Reservoir Sampling in the Presence of Stream Evolution. | Charu C. Aggarwal |
| 2006 | SDM | Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. | Charu C. Aggarwal |
| 2006 | SDM | A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. | Charu C. Aggarwal |
| 2006 | SDM | A Framework for Clustering Massive Text and Categorical Data Streams. | Charu C. Aggarwal, Philip S. Yu |
| 2005 | KDD | Towards exploratory test instance specific algorithms for high dimensional classification. | Charu C. Aggarwal |
| 2005 | KDD | On Clustering Techniques for Change Diagnosis in Data Streams. | Charu C. Aggarwal, Philip S. Yu |
| 2005 | VLDB | On k-Anonymity and the Curse of Dimensionality. | Charu C. Aggarwal |
| 2005 | SDM | On Abnormality Detection in Spuriously Populated Data Streams. | Charu C. Aggarwal |
| 2005 | SDM | Online Analysis of Community Evolution in Data Streams. | Charu C. Aggarwal, Philip S. Yu |
| 2005 | SDM | On Variable Constraints in Privacy Preserving Data Mining. | Charu C. Aggarwal, Philip S. Yu |
| 2004 | EDBT | A Condensation Approach to Privacy Preserving Data Mining. | Charu C. Aggarwal, Philip S. Yu |
| 2004 | KDD | On demand classification of data streams. | Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu |
| 2004 | VLDB | A Framework for Projected Clustering of High Dimensional Data Streams. | Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu |
| 2003 | KDD | Towards systematic design of distance functions for data mining applications. | Charu C. Aggarwal |
| 2003 | KDD | XRules: an effective structural classifier for XML data. | Mohammed Javeed Zaki, Charu C. Aggarwal |
| 2003 | PODS | On nearest neighbor indexing of nonlinear trajectories. | Charu C. Aggarwal, Dakshi Agrawal |
| 2003 | SIGMOD | A Framework for Change Diagnosis of Data Streams. | Charu C. Aggarwal |
| 2003 | VLDB | A Framework for Clustering Evolving Data Streams. | Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu |
| 2002 | ICDE | An Intuitive Framework for Understanding Changes in Evolving Data Streams. | Charu C. Aggarwal |
| 2002 | ICDE | Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. | Charu C. Aggarwal |
| 2002 | KDD | On effective classification of strings with wavelets. | Charu C. Aggarwal |
| 2002 | KDD | Collaborative crawling: mining user experiences for topical resource discovery. | Charu C. Aggarwal |
| 2002 | SIGMOD | Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. | Charu C. Aggarwal |
| 2002 | VLDB | An Automated System for Web Portal Personalization. | Charu C. Aggarwal, Philip S. Yu |
| 2001 | CIKM | Effective Nearest Neighbor Indexing with the Euclidean Metric. | Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu |
| 2001 | ICDM | On Effective Conceptual Indexing and Similarity Search in Text Data. | Charu C. Aggarwal, Philip S. Yu |
| 2001 | ICDT | On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. | Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim |
| 2001 | KDD | A human-computer cooperative system for effective high dimensional clustering. | Charu C. Aggarwal |
| 2001 | KDD | Mining massively incomplete data sets by conceptual reconstruction. | Charu C. Aggarwal, Srinivasan Parthasarathy |
| 2001 | PODS | On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. | Charu C. Aggarwal |
| 2001 | PODS | On the Design and Quantification of Privacy Preserving Data Mining Algorithms. | Dakshi Agrawal, Charu C. Aggarwal |
| 2001 | WWW | Intelligent crawling on the World Wide Web with arbitrary predicates. | Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu |
| 2001 | SIGMOD | Outlier Detection for High Dimensional Data. | Charu C. Aggarwal, Philip S. Yu |
| 2000 | KDD | Depth first generation of long patterns. | Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad |
| 2000 | KDD | The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. | Charu C. Aggarwal, Philip S. Yu |
| 2000 | SIGMOD | Finding Generalized Projected Clusters In High Dimensional Spaces. | Charu C. Aggarwal, Philip S. Yu |
| 2000 | VLDB | What Is the Nearest Neighbor in High Dimensional Spaces? | Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim |
| 1999 | KDD | On the Merits of Building Categorization Systems by Supervised Clustering. | Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu |
| 1999 | KDD | Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. | Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu |
| 1999 | PAKDD | Data Mining Techniques for Associations, Clustering and Classification. | Charu C. Aggarwal, Philip S. Yu |
| 1999 | SIGMOD | Fast Algorithms for Projected Clustering. | Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park |
| 1999 | SIGMOD | A New Method for Similarity Indexing of Market Basket Data. | Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu |
| 1998 | CIKM | Online Algorithms for Finding Profile Association Rules. | Charu C. Aggarwal, Zheng Sun, Philip S. Yu |
| 1998 | ICDE | Online Generation of Association Rules. | Charu C. Aggarwal, Philip S. Yu |
| 1998 | KDD | Online Generation of Profile Association Rules. | Charu C. Aggarwal, Zheng Sun, Philip S. Yu |
| 1998 | PODS | A New Framework For Itemset Generation. | Charu C. Aggarwal, Philip S. Yu |
| 1997 | CIKM | On Disk Caching of Web Objects in Proxy Servers. | Charu C. Aggarwal, Philip S. Yu |
| 1996 | SIGMETRICS | On Optimal Piggyback Merging Policies for Video-on-Demand Systems. | Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu |