The gardener's problem for web information monitoring. - Byron J. Gao; Mingji Xia; Walter Cai; David C. Anastasiu (CIKM, 2009)

OLAP For Multicriteria Maintenance Scheduling. - Walter Cai; David C. Anastasiu; Mingji Xia; Byron J. Gao (DMIN, 2009)

Utilizing User-input Contextual Terms for Query Disambiguation. - Byron J. Gao; David C. Anastasiu; Xing Jiang (COLING (Posters), 2010)

A framework for personalized and collaborative clustering of search results. - David C. Anastasiu; Byron J. Gao; David Buttler (CIKM, 2011)

ClusteringWiki: personalized and collaborative clustering of search results. - Dragos C. Anastasiu; Byron J. Gao; David Buttler (SIGIR, 2011)

Document Clustering: The Next Frontier. - David C. Anastasiu; Andrea Tagarelli; George Karypis (Data Clustering: Algorithms and Applications, 2013)

User-Centric Organization of Search Results. - Byron J. Gao; David Buttler; David C. Anastasiu; Shuaiqiang Wang; Peng Zhang 001; Joey Jan (IEEE Internet Comput., 2013)

A novel two-box search paradigm for query disambiguation. - David C. Anastasiu; Byron J. Gao; Xing Jiang; George Karypis (World Wide Web, 2013)

Big Data Frequent Pattern Mining. - David C. Anastasiu; Jeremy Iverson; Shaden Smith; George Karypis (Frequent Pattern Mining, 2014)

L2AP: Fast cosine similarity search with prefix L-2 norm bounds. - David C. Anastasiu; George Karypis (ICDE, 2014)

L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning. - David C. Anastasiu; George Karypis (CIKM, 2015)

Understanding computer usage evolution. - David C. Anastasiu; Al Mamunur Rashid; Andrea Tagarelli; George Karypis (ICDE, 2015)

PL2AP: fast parallel cosine similarity search. - David C. Anastasiu; George Karypis (IA3@SC, 2015)

Fast Parallel Cosine K-Nearest Neighbor Graph Construction. - David C. Anastasiu; George Karypis (IA3@SC, 2016)

Robust classification of city roadway objects for traffic related applications. - Niveditha Bhandary; Charles MacKay; Alex Richards; Ji Tong; David C. Anastasiu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Optimal constrained wireless emergency network antenna placement. - Swapnil Gaikwad; David C. Anastasiu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

The NVIDIA AI City Challenge. - Milind Naphade; David C. Anastasiu; Anuj Sharma; Vamsi Jagrlamudi; Hyeran Jeon; Kaikai Liu; Ming-Ching Chang; Siwei Lyu; Jerry Zeyu Gao (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Efficient identification of Tanimoto nearest neighbors. - David C. Anastasiu; George Karypis (Int. J. Data Sci. Anal., 2017)

Scalability and Distribution of Collaborative Recommenders. - Evangelia Christakopoulou; Shaden Smith; Mohit Sharma 002; Alex Richards; David C. Anastasiu; George Karypis (Collaborative Recommendations, 2018)

Data Structure for Efficient Line of Sight Queries. - Swapnil Gaikwad; Melody Moh; David C. Anastasiu (CIKM, 2018)

Vehicle Tracking and Speed Estimation From Traffic Videos. - Shuai Hua; Manika Kapoor; David C. Anastasiu (CVPR Workshops, 2018)

The 2018 NVIDIA AI City Challenge. - Milind Naphade; Ming-Ching Chang; Anuj Sharma; David C. Anastasiu; Vamsi Jagarlamudi; Pranamesh Chakraborty; Tingting Huang; Shuo Wang; Ming-Yu Liu 001; Rama Chellappa; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2018)

Improving Student Motivation through Competitive Active Learning. - Manika Kapoor; Shuai Hua; David C. Anastasiu (FIE, 2018)

Stock Price Prediction Using News Sentiment Analysis. - Saloni Mohan; Sahitya Mullapudi; Sudheer Sammeta; Parag Vijayvergia; David C. Anastasiu (BigDataService, 2019)

The 2019 AI City Challenge. - Milind Naphade; Zheng Tang; Ming-Ching Chang; David C. Anastasiu; Anuj Sharma; Rama Chellappa; Shuo Wang; Pranamesh Chakraborty; Tingting Huang; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2019)

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. - Zheng Tang; Milind Naphade; Ming-Yu Liu 001; Xiaodong Yang 001; Stan Birchfield; Shuo Wang; Ratnesh Kumar 004; David C. Anastasiu; Jenq-Neng Hwang (CVPR, 2019)

Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems. - David C. Anastasiu; Huzefa Rangwala; Andrea Tagarelli (KDD, 2019)

Study Area Recommendation via Network Log Analytics. - Anupama Upadhayula; Avinash Ravilla; Ishwarya Varadarajan; Sowmya Viswanathan; David C. Anastasiu (MobileCloud, 2019)

Effective Vehicle Tracking Algorithm for Smart Traffic Networks. - Shuai Hua; David C. Anastasiu (SOSE, 2019)

Parallel cosine nearest neighbor graph construction. - David C. Anastasiu; George Karypis (J. Parallel Distributed Comput., 2019)

The 4th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Liang Zheng 001; Anuj Sharma; Rama Chellappa; Pranamesh Chakraborty (CVPR Workshops, 2020)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Christian E. López; Anuj Sharma; Qi Feng 004; et al. (CVPR Workshops, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CoRR, 2021)

The 6th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2022)

Key Point-Based Driver Activity Recognition. - Arpita Vats; David C. Anastasiu (CVPR Workshops, 2022)

CLP: A Platform for Competitive Learning. - Arpita Vats; Gheorghi Guzun; David C. Anastasiu (EC-TEL, 2022)

On-Device Prediction for Chronic Kidney Disease. - Alex Whelan; Soham Phadke; Alessandro Bellofiore; David C. Anastasiu (GHTC, 2022)

Synthetic Distracted Driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver. - Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma; Jiyang Wang; Senem Velipasalar Gursoy; David C. Anastasiu; Shuo Wang (CoRR, 2022)

"Managing, Mining and Learning in the Legal Data Domain". - Andrea Tagarelli; Ester Zumpano; David C. Anastasiu; Andrea Calì; Gottfried Vossen (Inf. Syst., 2022)

An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks. - Yanhong Li; Jack Xu; David C. Anastasiu (AAAI, 2023)

SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. - Yanhong Li; Jack Xu; David C. Anastasiu (IEEE Big Data, 2023)

The 7th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2023)

Enhancing Retail Checkout through Video Inpainting, YOLOv8 Detection, and DeepSort Tracking. - Arpita Vats; David C. Anastasiu (CVPR Workshops, 2023)

CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis. - Yijia Li; Jonathan Nguyen; David C. Anastasiu; Edgar A. Arriaga (Briefings Bioinform., 2023)

Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. - Yanhong Li; Jack Xu; David C. Anastasiu (AAAI, 2024)

Long-Term Hydrologic Time Series Prediction with LSPM. - Sicheng Zhou; David C. Anastasiu (CIKM, 2024)

The 8th AI City Challenge. - Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Pranamesh Chakraborty; Sanjita Prajapati; Quan Kong; et al. (CVPR Workshops, 2024)

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting. - Yanhong Li; David C. Anastasiu (IEEE Access, 2024)

WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding. - Quan Kong; Yuki Kawana; Rajat Saini; Ashutosh Kumar; Jingjing Pan; Ta Gu; Yohei Ozao; Balazs Opra; David C. Anastasiu; Yoichi Sato; Norimasa Kobori (CoRR, 2024)

PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. - Yanhong Li; David C. Anastasiu (PAKDD (6), 2025)

Explainable AI for Real-Time Video Anomaly Anticipation. - David C. Anastasiu (SDM, 2025)

ML-NIC: accelerating machine learning inference using smart network interface cards. - Raghav Kapoor; David C. Anastasiu; Sean Choi (Frontiers Comput. Sci., 2025)

MC-ANN: A Mixture Clustering-Based Attention Neural Network for Time Series Forecasting. - Yanhong Li; David C. Anastasiu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)