Chang-Tien Lu - RankMe

318 papers A* 49A 13B 32C 2Misc 6Journal 123Unranked 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Data Augmentation. IEEE Trans. Knowl. Data Eng. Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
2026	A*	`conf`	Collaborative LLM Numerical Reasoning with Local Data Protection. AAAI Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2026	J	`jnl`	Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving. CoRR Linhan Wang, Zichong Yang, Chen Bai, Guoxiang Zhang, Xiaotong Liu, Xiaoyin Zheng, Xiao-Xiao Long, Chang-Tien Lu, Cheng Lu
2026	A*	`conf`	Optimizing Product Provenance Verification Using Data Valuation Methods. AAAI Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2026	J	`jnl`	Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges. Inf. Fusion Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu
2025	—	`conf`	Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. KDD (2) Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan
2025	J	`jnl`	Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. CoRR Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan
2025	J	`jnl`	Collaborative LLM Numerical Reasoning with Local Data Protection. CoRR Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2025	J	`jnl`	HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset. CoRR Shengkun Wang, Yanshen Sun, Fanglan Chen, Linhan Wang, Naren Ramakrishnan, Chang-Tien Lu, Yinlin Chen
2025	J	`jnl`	Implicit graph neural network for deep graph transformation. Knowl. Inf. Syst. Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2025	—	`conf`	MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss. SIGSPATIAL/GIS Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu
2025	J	`jnl`	MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss. CoRR Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu
2025	—	`conf`	MultiScale Spectral GNN for Fraud Detection. ASONAM (2) Melike Yildiz Aktas, Mustafa Coskun, Chang-Tien Lu
2025	—	`conf`	Network Interdiction Goes Neural. KDD (2) Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2025	J	`jnl`	Optimizing Product Provenance Verification using Data Valuation Methods. CoRR Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2025	A	`conf`	Optimizing Transit Network Expansion with Gated Attentive Graph Reinforcement Learning. SDM Fanglan Chen, Dongjie Wang, Jianfeng He, Shuo Lei, Chang-Tien Lu
2025	—	`conf`	QoLScope: Efficient Visual Exploration of Housing-Centric Quality of Life. ICDM (Workshops) Guann-Luen Chen, Li-Chieh Kung, Fanglan Chen, Chang-Tien Lu
2025	—	`conf`	RailEstate: An Interactive System for Metro Linked Property Trends. SIGSPATIAL/GIS Chen-Wei Chang, Yu-Chieh Cheng, Yun-En Tsai, Fanglan Chen, Chang-Tien Lu
2025	J	`jnl`	RailEstate: An Interactive System for Metro Linked Property Trends. CoRR Chen-Wei Chang, Yu-Chieh Cheng, Yun-En Tsai, Fanglan Chen, Chang-Tien Lu
2025	J	`jnl`	SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment. CoRR Shutonu Mitra, Tomas Neguyen, Qi Zhang, Hyungmin Kim, Hossein Salemi, Chen-Wei Chang, Fengxiu Zhang, Michin Hong, Chang-Tien Lu, Hemant Purohit, Jin-Hee Cho
2025	B	`conf`	Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks. IEEE Big Data Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2025	J	`jnl`	Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks. CoRR Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2025	J	`jnl`	SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning. CoRR Linhan Wang, Jianwen Dou, Wang Li, Shengkun Wang, Zhiwu Xie, Chang-Tien Lu, Yinlin Chen
2025	J	`jnl`	Virtual healthcare bot (VHC-Bot): a Person-centered AI chatbot for transforming patient care and healthcare workforce dynamics. Netw. Model. Anal. Health Informatics Bioinform. Sara A. Alsalamah, Shada Alsalamah, Hessah A. Alsalamah, Haytham A. Sheerah, Kurt Luther, Chang-Tien Lu
2024	J	`jnl`	A Comprehensive Survey on Data Augmentation. CoRR Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
2024	—	`conf`	AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. NAACL (Industry Track) Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu
2024	J	`jnl`	AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. CoRR Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu
2024	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2024	Misc	`conf`	Can LLM Find the Green Circle? Investigation and Human-Guided Tool Manipulation for Compositional Generalization. ICASSP Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhan Wang, Chang-Tien Lu
2024	A*	`conf`	Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
2024	J	`jnl`	Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? CoRR Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
2024	J	`jnl`	Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2024	A*	`conf`	DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos. NeurIPS Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu
2024	J	`jnl`	DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos. CoRR Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu
2024	—	`conf`	Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. ACL (1) Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
2024	J	`jnl`	Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. CoRR Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
2024	B	`conf`	Downscaling Precipitation with Bias-informed Conditional Diffusion Model. IEEE Big Data Ran Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai, Chang-Tien Lu
2024	J	`jnl`	Downscaling Precipitation with Bias-informed Conditional Diffusion Model. CoRR Ran Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai, Chang-Tien Lu
2024	—	`conf`	Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction. ASONAM (4) Abdulaziz Alhamadani, Khadija Althubiti, Jianfeng He, Shailik Sarkar, Lulwah Alkulaib, Abdul Raheem Shaik, Seungwon Lee, Mahmood Khan, Chang-Tien Lu
2024	—	`conf`	Empowering Cross-Patient Epilepsy Diagnosis from Diverse-Sampling Low-Quality EEG Signals. BIBM Yanshen Sun, Jianger Yu, Chang-Tien Lu
2024	—	`conf`	Enhancing School Success Prediction with FRC and Merged GNN. ASONAM (3) Melike Yildiz Aktas, Aadyant Khatri, Mariam Almutairi, Lulwah Alkulaib, Chang-Tien Lu
2024	J	`jnl`	Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges. CoRR Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu
2024	B	`conf`	Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. IEEE Big Data Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2024	J	`jnl`	Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. CoRR Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2024	—	`conf`	FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. BCB Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu
2024	—	`conf`	GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu
2024	—	`conf`	HyperSMOTE-MC: Enhancing Multiclass Bot Detection on X Through Hypergraph-Based Resampling. ASONAM (4) Lulwah Alkulaib, Chang-Tien Lu
2024	B	`ed.`	IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024 IEEE Big Data Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
2024	—	`conf`	IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool. ASONAM (4) Aadyant Khatri, Nicolas Egierski, Ashutosh Pochamreddy, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2024	J	`jnl`	InternalInspector I CoRR Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
2024	—	`conf`	InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. EMNLP (Findings) Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
2024	A*	`conf`	Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. ICRA Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2024	J	`jnl`	Network Interdiction Goes Neural. CoRR Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2024	—	`conf`	Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach. ASONAM (4) Abdul Raheem Shaik, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2024	J	`jnl`	Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. CoRR Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang
2024	J	`jnl`	StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction. CoRR Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu
2024	—	`conf`	Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques. ArabicNLP Mariam Almutairi, Lulwah Alkulaib, Melike Yildiz Aktas, Sara A. Alsalamah, Chang-Tien Lu
2024	B	`conf`	Time Series Forecasting with GCN-LSTM Based Unified Model for Product Demand Prediction. IEEE Big Data Melike Yildiz Aktas, Taoran Ji, Chang-Tien Lu
2024	—	`conf`	Towards Inclusive Cybersecurity: Protecting the Vulnerable with Social Cyber Vulnerability Metrics. TPS-ISA Shutonu Mitra, Qi Zhang, Chen-Wei Chang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Chang-Tien Lu, Jin-Hee Cho
2024	—	`conf`	Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. NAACL-HLT (Findings) Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2023	B	`conf`	ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. ASONAM Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
2023	J	`jnl`	ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. CoRR Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
2023	J	`jnl`	Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
2023	B	`conf`	Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. IEEE Big Data Lulwah Alkulaib, Chang-Tien Lu
2023	A*	`conf`	CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
2023	J	`jnl`	Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization. CoRR Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhang Wang, Chang-Tien Lu
2023	J	`jnl`	DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
2023	A*	`conf`	Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
2023	J	`jnl`	Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. Frontiers Big Data Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2023	B	`conf`	From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. ASONAM Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu
2023	B	`conf`	Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2023	A*	`conf`	Infinitely Deep Graph Transformation Networks. ICDM Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2023	—	`conf`	LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu
2023	J	`jnl`	Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2023	—	`conf`	LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks. BIBM Yanshen Sun, Jianger Yu, Chang-Tien Lu
2023	J	`jnl`	Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain. CoRR Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu
2023	J	`jnl`	Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2023	A*	`conf`	MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. SIGIR Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li
2023	J	`jnl`	Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions. IEEE Trans. Comput. Soc. Syst. Zhen Guo, Jin-Hee Cho, Chang-Tien Lu
2023	B	`conf`	More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. IEEE Big Data Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
2023	B	`conf`	RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. IEEE Big Data Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
2023	—	`conf`	Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. SIGSPATIAL/GIS Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
2023	J	`jnl`	Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. CoRR Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
2023	—	`conf`	Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. SIGSPATIAL/GIS Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
2023	B	`conf`	Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. IEEE Big Data Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
2023	J	`jnl`	Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. CoRR Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
2023	—	`conf`	TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. ACL (1) Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2023	J	`jnl`	TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2023	J	`jnl`	Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning. CoRR Dongjie Wang, Chang-Tien Lu, Yanjie Fu
2023	J	`jnl`	Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. CoRR Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2023	B	`conf`	UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. IEEE Big Data Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu
2022	A*	`conf`	Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
2022	A*	`conf`	Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
2022	B	`conf`	Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. IEEE Big Data Sara A. Alsalamah, Shada Alsalamah, Walaa N. Ismail, Hessah A. Alsalamah, Chang-Tien Lu
2022	—	`conf`	Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu
2022	B	`conf`	DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. IEEE Big Data Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
2022	J	`jnl`	Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu
2022	A*	`conf`	Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
2022	A	`conf`	Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen
2022	B	`conf`	Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. IEEE Big Data Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
2022	A*	`conf`	From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). AAAI Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2022	—	`conf`	Granger Causal Inference for Interpretable Traffic Prediction. ITSC Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu
2022	B	`conf`	HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. IEEE Big Data Charles Duong, Lei Zhang, Chang-Tien Lu
2022	B	`conf`	HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. IEEE Big Data Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2022	J	`jnl`	LANS: Large-scale Arabic News Summarization Corpus. CoRR Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu
2022	J	`jnl`	Memetic algorithms for Spatial Partitioning problems. CoRR Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2022	J	`jnl`	Online and Distributed Robust Regressions with Extremely Noisy Labels. ACM Trans. Knowl. Discov. Data Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2022	B	`conf`	PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
2022	B	`conf`	Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu
2022	J	`jnl`	Sampling-based techniques for designing school boundaries. CoRR Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2022	J	`jnl`	Semantic inpainting on segmentation map via multi-expansion loss. Neurocomputing Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao
2022	J	`jnl`	Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
2022	—	`conf`	Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals' Legacy Information Systems. DASC/PiCom/CBDCom/CyberSciTech Sara A. Alsalamah, Shada Alsalamah, Hessah A. Alsalamah, Chang-Tien Lu
2022	B	`conf`	Twitter Bot Identification: An Anomaly Detection Approach. IEEE Big Data Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu
2022	—	`conf`	Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2021	—	`conf`	A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
2021	—	`conf`	Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
2021	J	`jnl`	Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. CoRR Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
2021	J	`jnl`	Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
2021	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021	J	`jnl`	DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce. IEEE Trans. Big Data Manu Shukla, Dinesh Dharme, Pallavi Ramnarain, Ray Dos Santos, Chang-Tien Lu
2021	J	`jnl`	Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao
2021	B	`conf`	Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021	J	`jnl`	Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021	A*	`conf`	Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021	A	`conf`	Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2021	—	`conf`	Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. IEEE BigData Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu
2021	—	`conf`	Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map. ICCVW Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu
2021	—	`ed.`	SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021 SIGSPATIAL/GIS Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie
2021	J	`jnl`	Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
2020	J	`jnl`	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
2020	A	`conf`	Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao
2020	J	`jnl`	Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. CoRR Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2020	A*	`conf`	Geospatial Clustering for Balanced and Proximal Schools. AAAI Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2020	—	`conf`	Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
2020	—	`conf`	Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2020	J	`jnl`	Learning evolving user's behaviors on location-based social networks. GeoInformatica Ruizhi Wu, Guangchun Luo, Qi Jin, Junming Shao, Chang-Tien Lu
2020	J	`jnl`	Online flu epidemiological deep modeling on disease contact network. GeoInformatica Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2020	J	`jnl`	Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy
2020	B	`conf`	RISECURE: Metro Incidents And Threat Detection Using Social Media. ASONAM Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick, Yanlin Li
2020	—	`conf`	Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
2020	J	`jnl`	Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
2020	—	`ed.`	SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020 SIGSPATIAL/GIS Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong
2020	—	`conf`	SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. IEEE BigData Jason Wang, Kaiqun Fu, Chang-Tien Lu
2020	A*	`conf`	Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu
2020	J	`jnl`	Semantic Editing On Segmentation Map Via Multi-Expansion Loss. CoRR Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
2020	J	`jnl`	Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. Sina Dabiri, Chang-Tien Lu, Kevin P. Heaslip, Chandan K. Reddy
2020	A*	`conf`	TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu
2020	J	`jnl`	The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. ACM SIGSPATIAL Special Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong
2020	—	`conf`	Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu
2019	J	`jnl`	Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
2019	—	`conf`	Collect Ethically: Reduce Bias in Twitter Datasets. SIMBig Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
2019	J	`jnl`	Detection of clusters in traffic networks based on spatio-temporal flow modeling. Trans. GIS Yan Shi, Min Deng, Jianya Gong, Chang-Tien Lu, Xuexi Yang, Huimin Liu
2019	J	`jnl`	Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu
2019	B	`conf`	Feature driven learning framework for cybersecurity event detection. ASONAM Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	Mitigating Uncertainty in Document Classification. NAACL-HLT (1) Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
2019	J	`jnl`	Mitigating Uncertainty in Document Classification. CoRR Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu
2019	A*	`conf`	Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	J	`jnl`	Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2019	J	`jnl`	Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation. ACM Trans. Knowl. Discov. Data Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019	J	`jnl`	Robust Regression via Online Feature Selection under Adversarial Data Corruption. CoRR Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019	A*	`conf`	Spatio-temporal Event Forecasting and Precursor Identification. KDD Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
2019	—	`conf`	TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2019	J	`jnl`	TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2018	J	`jnl`	CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks. IEEE Trans. Serv. Comput. Yating Wang, Ing-Ray Chen, Jin-Hee Cho, Ananthram Swami, Yen-Cheng Lu, Chang-Tien Lu, Jeffrey J. P. Tsai
2018	J	`jnl`	DIMPL: a distributed in-memory drone flight path builder system. J. Big Data Manu Shukla, Zhiqian Chen, Chang-Tien Lu
2018	A*	`conf`	Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018	J	`jnl`	Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018	B	`conf`	Multi-Task Learning for Transit Service Disruption Detection. ASONAM Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2018	J	`jnl`	Preface: special issue on geo-social media analytics. GeoInformatica Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu
2018	A*	`conf`	Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
2018	J	`jnl`	Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
2018	A*	`conf`	Robust Regression via Online Feature Selection Under Adversarial Data Corruption. ICDM Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2018	—	`conf`	Situation-Based Interpretable Learning for Personality Prediction in Social Media. IEEE BigData Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, Chang-Tien Lu
2018	A*	`conf`	Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2018	—	`conf`	StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
2018	J	`jnl`	Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring. ACM Trans. Intell. Syst. Technol. Bingsheng Wang, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu
2018	J	`jnl`	Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. CoRR Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen
2017	A	`conf`	Absenteeism Detection in Social Media. SDM Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan
2017	B	`ed.`	Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21-23, 2017, Proceedings SSTD Michael Gertz, Matthias Renz, Xiaofang Zhou, Erik G. Hoel, Wei-Shinn Ku, Agnès Voisard, Chengyang Zhang, Haiquan Chen, Liang Tang, Yan Huang, Chang-Tien Lu, Siva Ravada
2017	—	`ch.`	Concurrency Control for Spatial Access Method. Encyclopedia of GIS Jing (David) Dai, Chang-Tien Lu
2017	—	`ch.`	Concurrency Control for Spatial Access. Encyclopedia of GIS Jing (David) Dai, Chang-Tien Lu
2017	A	`conf`	Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CIKM Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan
2017	J	`jnl`	Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CoRR Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan
2017	J	`jnl`	DERIV: distributed brand perception tracking framework. J. Big Data Manu Shukla, Raimundo F. Dos Santos, Andrew Fong, Chang-Tien Lu
2017	J	`jnl`	DISCRN: A Distributed Storytelling Framework for Intelligence Analysis. Big Data Manu Shukla, Raimundo F. Dos Santos, Feng Chen, Chang-Tien Lu
2017	A*	`conf`	Determining Relative Airport Threats from News and Social Media. AAAI Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan
2017	J	`jnl`	Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting. IEEE Trans. Knowl. Data Eng. Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2017	—	`ch.`	Geography Markup Language (GML). Encyclopedia of GIS Raimundo F. Dos Santos, Chang-Tien Lu
2017	A*	`conf`	Learning to Fuse Music Genres with Generative Adversarial Dual Learning. ICDM Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
2017	J	`jnl`	Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
2017	A*	`conf`	Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2017	J	`jnl`	Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2017	—	`ch.`	Nearest Neighbor Query, Definition. Encyclopedia of GIS Feng Chen, Chang-Tien Lu
2017	—	`ch.`	Nearest Neighbor Query. Encyclopedia of GIS Feng Chen, Chang-Tien Lu
2017	A*	`conf`	Online and Distributed Robust Regressions Under Adversarial Data Corruption. ICDM Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	J	`jnl`	Online and Distributed Robust Regressions under Adversarial Data Corruption. CoRR Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	—	`ch.`	Outlier Detection, Spatial. Encyclopedia of GIS Yufeng Kou, Chang-Tien Lu
2017	—	`ch.`	Outlier Detection. Encyclopedia of GIS Yufeng Kou, Chang-Tien Lu
2017	A*	`conf`	Robust Regression via Heuristic Hard Thresholding. IJCAI Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	J	`jnl`	SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing. CoRR Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu
2017	J	`jnl`	Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization. Proc. IEEE Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2017	J	`jnl`	Spatial Prediction for Multivariate Non-Gaussian Data. ACM Trans. Knowl. Discov. Data Xutong Liu, Feng Chen, Yen-Cheng Lu, Chang-Tien Lu
2017	A	`conf`	Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. CIKM Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan
2017	—	`conf`	TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	—	`conf`	Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. IEEE BigData Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2016	J	`jnl`	A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter. ISPRS Int. J. Geo Inf. Yan Shi, Min Deng, Xuexi Yang, Qiliang Liu, Liang Zhao, Chang-Tien Lu
2016	J	`jnl`	A framework for intelligence analysis using spatio-temporal storytelling. GeoInformatica Raimundo F. Dos Santos, Sumit Shah, Arnold P. Boedihardjo, Feng Chen, Chang-Tien Lu, Patrick Butler, Naren Ramakrishnan
2016	J	`jnl`	A topic-focused trust model for Twitter. Comput. Commun. Liang Zhao, Ting Hua, Chang-Tien Lu, Ing-Ray Chen
2016	A*	`conf`	An Unsupervised Approach to Anomaly Detection in Music Datasets. SIGIR Yen-Cheng Lu, Chih-Wei Wu, Chang-Tien Lu, Alexander Lerch
2016	—	`conf`	Automatic Outlier Detection in Music Genre Datasets. ISMIR Yen-Cheng Lu, Chih-Wei Wu, Alexander Lerch, Chang-Tien Lu
2016	J	`jnl`	Automatic targeted-domain spatiotemporal event detection in twitter. GeoInformatica Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2016	A	`conf`	Automatical Storyline Generation with Help from Twitter. CIKM Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2016	C	`conf`	DERIV: Distributed In-Memory Brand Perception Tracking Framework. ICMLA Manu Shukla, Andrew Fong, Raimundo F. Dos Santos, Chang-Tien Lu
2016	—	`conf`	DISTL: Distributed In-Memory Spatio-Temporal Event-based Storyline Categorization Platform in Social Media. GISTAM Manu Shukla, Ray Dos Santos, Andrew Fong, Chang-Tien Lu
2016	J	`jnl`	Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach. IEEE Trans. Knowl. Data Eng. Yen-Cheng Lu, Feng Chen, Yating Wang, Chang-Tien Lu
2016	A*	`conf`	EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan
2016	J	`jnl`	EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. CoRR Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak Gupta, David Mares, Naren Ramakrishnan
2016	—	`conf`	Event Categorization and Key Prospect Identification from Storylines. GISTAM (Selected Papers) Manu Shukla, Andrew Fong, Raimundo F. Dos Santos, Chang-Tien Lu
2016	A*	`conf`	Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. KDD Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016	A*	`conf`	Multi-resolution Spatial Event Forecasting in Social Media. ICDM Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016	J	`jnl`	Online Spatial Event Forecasting in Microblogs. ACM Trans. Spatial Algorithms Syst. Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016	—	`conf`	Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. IEEE BigData Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu
2016	J	`jnl`	The big data of violent events: algorithms for association analysis using spatio-temporal storytelling. GeoInformatica Raimundo F. Dos Santos, Arnold P. Boedihardjo, Sumit Shah, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016	A*	`conf`	Topical Analysis of Interactions Between News and Social Media. AAAI Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016	J	`jnl`	Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model. J. Intell. Transp. Syst. Yao-Jan Wu, Feng Chen, Chang-Tien Lu, Shu Yang
2015	—	`conf`	DIFPL - Distributed Drone Flight Path Builder System. GISTAM Manu Shukla, Ziqian Chen, Chang-Tien Lu
2015	—	`conf`	Dynamic theme tracking in Twitter. IEEE BigData Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015	J	`jnl`	Fast adaptive kernel density estimator for data streams. Knowl. Inf. Syst. Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen
2015	—	`conf`	Find the butterfly: a social media based arterial incidents detection and causality analysis system. SIGSPATIAL/GIS Kaiqun Fu, Weisheng Zhong, Chang-Tien Lu, Arnold P. Boedihardjo
2015	J	`jnl`	How events unfold: spatiotemporal mining in social media. ACM SIGSPATIAL Special Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015	J	`jnl`	Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. Naren Ramakrishnan, Chang-Tien Lu, Madhav V. Marathe, Achla Marathe, Anil Vullikanti, Stephen G. Eubank, Scotland Leman, Michael J. Roan, John S. Brownstein, Kristen Maria Summers, Lise Getoor, Aravind Srinivasan, Tanzeem Choudhury, Dipak Gupta, David Mares
2015	A*	`conf`	Multi-Task Learning for Spatio-Temporal Event Forecasting. KDD Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015	A*	`conf`	SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. ICDM Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2015	A	`conf`	Spatiotemporal Event Forecasting in Social Media. SDM Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015	—	`conf`	Steds: Social Media Based Transportation Event Detection with Text Summarization. ITSC Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, Jason Xianding Tao
2014	J	`jnl`	'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
2014	A*	`conf`	'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
2014	J	`jnl`	A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams. ACM Trans. Knowl. Discov. Data Arnold P. Boedihardjo, Chang-Tien Lu, Bingsheng Wang
2014	—	`conf`	A search and summary application for traffic events detection based on Twitter data. SIGSPATIAL/GIS Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang
2014	J	`jnl`	Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. Big Data Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao, Chang-Tien Lu, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan
2014	—	`conf`	Forecasting location-based events with spatio-temporal storytelling. LBSN@SIGSPATIAL/GIS Raimundo F. Dos Santos, Sumit Shah, Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan
2014	J	`jnl`	Misinformation Propagation in the Age of Twitter. Computer Fang Jin, Wei Wang, Liang Zhao, Edward R. Dougherty, Yang Cao, Chang-Tien Lu, Naren Ramakrishnan
2014	J	`jnl`	On detecting spatial categorical outliers. GeoInformatica Xutong Liu, Feng Chen, Chang-Tien Lu
2014	—	`conf`	Shopaholic: a crowd-sourced spatio-temporal product-deals evaluation system (demo paper). IWGS Kruthika Rathinavel, Gaurav Dixit, Michael Matarazzo, Chang-Tien Lu
2014	J	`jnl`	SpecMonitor: Toward Efficient Passive Traffic Monitoring for Cognitive Radio Networks. IEEE Trans. Wirel. Commun. Qiben Yan, Ming Li, Feng Chen, Tingting Jiang, Wenjing Lou, Yiwei Thomas Hou, Chang-Tien Lu
2014	—	`conf`	TREADS: a safe route recommender using social media mining and text summarization. SIGSPATIAL/GIS Kaiqun Fu, Yen-Cheng Lu, Chang-Tien Lu
2014	—	`conf`	The EMBERS architecture for streaming predictive analytics. IEEE BigData Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan
2013	A*	`conf`	A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. AAAI Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu
2013	A	`conf`	A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation. SDM Arnold P. Boedihardjo, Feng Chen, Haili Dong, Chang-Tien Lu, Bingsheng Wang
2013	—	`conf`	A carpooling recommendation system based on social VANET and geo-social data. SIGSPATIAL/GIS Ahmed Elbery, Mustafa ElNainay, Feng Chen, Chang-Tien Lu, Jeffrey Kendall
2013	J	`jnl`	A two-layer framework for appearance based recognition using spatial and discriminant influences. Neurocomputing Qi Li, Chang-Tien Lu
2013	J	`jnl`	Analyzing Civil Unrest through Social Media. Computer Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers
2013	A*	`conf`	Deep Sparse Coding based Recursive Disaggregation Model for Water Conservation. IJCAI Haili Dong, Bingsheng Wang, Chang-Tien Lu
2013	—	`conf`	Kongress: a search and data mining application for U.S. congressional voting and Twitter data. SIGSPATIAL/GIS Douglas Grosvenor, Jeffrey Kendall, Amy Sanders, Chang-Tien Lu
2013	A*	`conf`	Non-parametric passive traffic monitoring in cognitive radio networks. INFOCOM Qiben Yan, Ming Li, Feng Chen, Tingting Jiang, Wenjing Lou, Y. Thomas Hou, Chang-Tien Lu
2013	A*	`conf`	STED: semi-supervised targeted-interest event detectionin in twitter. KDD Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2012	—	`conf`	An integrated framework for spatio-temporal-textual search and mining. SIGSPATIAL/GIS Bingsheng Wang, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu, Harland Yu, Ing-Ray Chen, Jing Dai
2012	A*	`conf`	Robust Prediction and Outlier Detection for Spatial Datasets. ICDM Xutong Liu, Feng Chen, Chang-Tien Lu
2012	A*	`conf`	Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary. ICDM Bingsheng Wang, Feng Chen, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu
2011	J	`jnl`	A Graph-Based Approach to Detect Abnormal Spatial Points and Regions. Int. J. Artif. Intell. Tools Chang-Tien Lu, Raimundo F. Dos Santos, Xutong Liu, Yufeng Kou
2011	B	`conf`	A framework for the expansion of spatial features based on semantic footprints. SMC Raimundo F. Dos Santos, Arnold P. Boedihardjo, Chang-Tien Lu
2011	A*	`conf`	Activity analysis based on low sample rate smart meters. KDD Feng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu
2011	—	`conf`	CROWDSAFE: crowd sourcing of crime incidents and safe routing on mobile devices. GIS Sumit Shah, Fenye Bao, Chang-Tien Lu, Ing-Ray Chen
2011	—	`conf`	Community Situational Awareness and Resilience through Mobile Applications. ICEBE Yuan-Chi Chang, Chang-Tien Lu, Huong Morris, Pamela M. Murray-Tuite, Quoc-Bao Nguyen
2011	B	`conf`	DIME: Disposable Index for Moving Objects. Mobile Data Management (1) Jing Dai, Chang-Tien Lu
2011	—	`conf`	Learning from positive and unlabeled documents for automated detection of alternative splicing sentences in medline abstracts. BIBM Workshops Yang Chen, Manabu Torii, Chang-Tien Lu, Hongfang Liu
2011	—	`conf`	Spatial categorical outlier detection: pair correlation function based approach. GIS Xutong Liu, Feng Chen, Chang-Tien Lu
2010	—	`conf`	A spatio-temporal-textual crime search engine. GIS Xutong Liu, Changshu Jian, Chang-Tien Lu
2010	C	`conf`	Appearance Based Recognition Using Spatial and Discriminant Influence. ICMLA Qi Li, Chang-Tien Lu
2010	A*	`conf`	C3: Concurrency control on continuous queries over moving objects. ICDE Jing Dai, Chang-Tien Lu
2010	A*	`conf`	GLS-SOD: a generalized local statistical approach for spatial outlier detection. KDD Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo
2010	—	`conf`	Spatial outlier detection: random walk based approaches. GIS Xutong Liu, Chang-Tien Lu, Feng Chen
2009	—	`ed.`	17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2009, November 4-6, 2009, Seattle, Washington, USA, Proceedings GIS Divyakant Agrawal, Walid G. Aref, Chang-Tien Lu, Mohamed F. Mokbel, Peter Scheuermann, Cyrus Shahabi, Ouri Wolfson
2009	B	`conf`	A Concurrency Control Protocol for Continuously Monitoring Moving Objects. Mobile Data Management Jing Dai, Chang-Tien Lu, Lien Fu Lai
2009	J	`jnl`	GLIP: A Concurrency Control Protocol for Clipping Indexing. IEEE Trans. Knowl. Data Eng. Chang-Tien Lu, Jing Dai, Ying Jin, Janek Mathuria
2008	A	`conf`	A framework for estimating complex probability density structures in data streams. CIKM Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen
2008	Misc	`conf`	An entropy-based method for assessing the number of spatial outliers. IRI Xutong Liu, Chang-Tien Lu, Feng Chen
2008	—	`ch.`	Concurrency Control for Spatial Access Method. Encyclopedia of GIS Jing Dai, Chang-Tien Lu
2008	—	`ch.`	Concurrency Control for Spatial Access. Encyclopedia of GIS Jing Dai, Chang-Tien Lu
2008	—	`ch.`	Geography Markup Language (GML). Encyclopedia of GIS Raimundo F. Dos Santos, Chang-Tien Lu
2008	—	`conf`	HOMES: highway operation monitoring and evaluation system. GIS Chang-Tien Lu, Arnold P. Boedihardjo, Jing Dai, Feng Chen
2008	J	`jnl`	Impersonator identification through dynamic fingerprinting. Digit. Investig. Chad M. S. Steel, Chang-Tien Lu
2008	—	`ch.`	Nearest Neighbor Query, Definition. Encyclopedia of GIS Feng Chen, Chang-Tien Lu
2008	—	`ch.`	Nearest Neighbor Query. Encyclopedia of GIS Feng Chen, Chang-Tien Lu
2008	J	`jnl`	On Detecting Spatial Outliers. GeoInformatica Dechang Chen, Chang-Tien Lu, Yufeng Kou, Feng Chen
2008	A*	`conf`	On Locally Linear Classification by Pairwise Coupling. ICDM Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo
2008	—	`ch.`	Outlier Detection, Spatial. Encyclopedia of GIS Yufeng Kou, Chang-Tien Lu
2008	—	`ch.`	Outlier Detection. Encyclopedia of GIS Yufeng Kou, Chang-Tien Lu
2007	J	`jnl`	Advances in GML for Geospatial Applications. GeoInformatica Chang-Tien Lu, Raimundo F. Dos Santos, Lakshmi N. Sripada, Yufeng Kou
2007	—	`conf`	CLAM: concurrent location management for moving objects. GIS Jing Dai, Chang-Tien Lu
2007	J	`jnl`	Detecting and tracking regional outliers in meteorological data. Inf. Sci. Chang-Tien Lu, Yufeng Kou, Jiang Zhao, Li Chen
2007	Misc	`conf`	Performance Evaluation of Desktop Search Engines. IRI Chang-Tien Lu, Manu Shukla, Siri H. Subramanya, Yamin Wu
2007	—	`conf`	Spatial Outlier Detection: A Graph-Based Approach. ICTAI (1) Yufeng Kou, Chang-Tien Lu, Raimundo F. Dos Santos
2006	A*	`conf`	AITVS: Advanced Interactive Traffic Visualization System. ICDE Chang-Tien Lu, Arnold P. Boedihardjo, Jinping Zheng
2006	—	`conf`	AOID: adaptive on-line incident detection system. ITSC Arnold P. Boedihardjo, Chang-Tien Lu
2006	A	`conf`	Spatial Weighted Outlier Detection. SDM Yufeng Kou, Chang-Tien Lu, Dechang Chen
2005	J	`jnl`	A Web-based Data Visualization and Analysis System for Watershed Management. Ann. GIS Yufeng Kou, Chang-Tien Lu, Adil N. Godrej, Thomas Grizzard, Harold Post
2005	Misc	`conf`	Exploiting efficient data mining techniques to enhance intrusion detection systems. IRI Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Manalwar
2005	A	`conf`	Making Data Mining Models Useful to Model Non-paying Customers of Exchange Carriers. SDM Wei Fan, Janek Mathuria, Chang-Tien Lu
2005	J	`jnl`	Transportation data visualisation and mining for emergency management. Int. J. Crit. Infrastructures Chang-Tien Lu, Lakshmi N. Sripada, Shashi Shekhar, Rulin Liu
2004	Misc	`conf`	Analysis of Payment Transaction Security in Mobile Commerce. IRI Seema Nambiar, Chang-Tien Lu, Lily R. Liang
2004	—	`conf`	Evaluating GML Support for Spatial Databases. COMPSAC Workshops Lakshmi N. Sripada, Chang-Tien Lu, Weili Wu
2004	J	`jnl`	Multivariate Spatial Outlier Detection. Int. J. Artif. Intell. Tools Chang-Tien Lu, Dechang Chen, Yufeng Kou
2004	—	`conf`	Wavelet fuzzy classification for detecting and tracking region outliers in meteorological data. GIS Chang-Tien Lu, Lily R. Liang
2004	Misc	`conf`	Web visualization of geo-spatial data using SVG and VRML/X3D. ICIG Jianghui Ying, Denis Gracanin, Chang-Tien Lu
2003	J	`jnl`	A Unified Approach to Detecting Spatial Outliers. GeoInformatica Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang
2003	A*	`conf`	Algorithms for Spatial Outlier Detection. ICDM Chang-Tien Lu, Dechang Chen, Yufeng Kou
2003	B	`conf`	Detecting Spatial Outliers with Multiple Attributes. ICTAI Chang-Tien Lu, Dechang Chen, Yufeng Kou
2003	—	`conf`	Detecting region outliers in meteorological data. GIS Jiang Zhao, Chang-Tien Lu, Yufeng Kou
2002	B	`conf`	Data Mining for Selective Visualization of Large Spatial Datasets. ICTAI Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Rulin Liu
2002	J	`jnl`	Detecting graph-based spatial outliers. Intell. Data Anal. Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang
2002	J	`jnl`	Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach. IEEE Trans. Knowl. Data Eng. Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada
2001	A*	`conf`	Detecting graph-based spatial outliers: algorithms and applications (a summary of results). KDD Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang
1999	J	`jnl`	Spatial Databases - Accomplishments and Research Needs. IEEE Trans. Knowl. Data Eng. Shashi Shekhar, Sanjay Chawla, Sivakumar Ravada, Andrew Fetterer, Xuan Liu, Chang-Tien Lu
1998	B	`conf`	Optimizing Join Index Based Join Processing: A Graph Partitioning Approach. SRDS Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla