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ORCIDChang-Tien Lu
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- affiliation: Virginia Tech, Falls Church, VA, USA
- affiliation (PhD 2001): University of Minnesota, Minneapolis, MN, USA
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Journal Articles
- 2024
[j60]Zhiqian Chen
, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56(5): 126:1-126:42 (2024)- [j59]Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18(6): 144:1-144:23 (2024) - 2023
- [j58]Zhen Guo, Jin-Hee Cho, Chang-Tien Lu:
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions. IEEE Trans. Comput. Soc. Syst. 10(2): 435-447 (2023) - [j57]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. 9(1): 2:1-2:24 (2023) - [j56]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9(1): 5:1-5:31 (2023) - 2022
- [j55]Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao:
Semantic inpainting on segmentation map via multi-expansion loss. Neurocomputing 501: 306-317 (2022) - [j54]Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu:
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 4729-4742 (2022) - [j53]Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan:
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16(2): 40:1-40:28 (2022) - [j52]Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Online and Distributed Robust Regressions with Extremely Noisy Labels. ACM Trans. Knowl. Discov. Data 16(3): 41:1-41:24 (2022) - 2021
- [j51]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j50]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data 4: 762899 (2021) - [j49]Manu Shukla, Dinesh Dharme, Pallavi Ramnarain, Ray Dos Santos, Chang-Tien Lu:
DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce. IEEE Trans. Big Data 7(6): 930-951 (2021) - 2020
- [j48]Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan:
Online flu epidemiological deep modeling on disease contact network. GeoInformatica 24(2): 443-475 (2020) - [j47]Ruizhi Wu, Guangchun Luo, Qi Jin, Junming Shao, Chang-Tien Lu:
Learning evolving user's behaviors on location-based social networks. GeoInformatica 24(3): 713-743 (2020) - [j46]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
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 12(3): 3-6 (2020) - [j45]Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy:
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14(2): 24:1-24:27 (2020) - [j44]Sina Dabiri, Chang-Tien Lu, Kevin P. Heaslip, Chandan K. Reddy:
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. 32(5): 1010-1023 (2020) - 2019
- [j43]Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu:
Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special 11(2): 16-25 (2019) - [j42]Yan Shi, Min Deng, Jianya Gong, Chang-Tien Lu, Xuexi Yang, Huimin Liu:
Detection of clusters in traffic networks based on spatio-temporal flow modeling. Trans. GIS 23(2): 312-333 (2019) - [j41]Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation. ACM Trans. Knowl. Discov. Data 13(3): 28:1-28:22 (2019) - 2018
- [j40]Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu:
Preface: special issue on geo-social media analytics. GeoInformatica 22(3): 503-506 (2018) - [j39]Manu Shukla, Zhiqian Chen, Chang-Tien Lu:
DIMPL: a distributed in-memory drone flight path builder system. J. Big Data 5: 24 (2018) - [j38]Bingsheng Wang, Zhiqian Chen, Arnold P. Boedihardjo, Chang-Tien Lu:
Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring. ACM Trans. Intell. Syst. Technol. 9(4): 39:1-39:30 (2018) - [j37]Yating Wang, Ing-Ray Chen, Jin-Hee Cho, Ananthram Swami, Yen-Cheng Lu, Chang-Tien Lu, Jeffrey J. P. Tsai:
CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks. IEEE Trans. Serv. Comput. 11(6): 908-921 (2018) - 2017
- [j36]Manu Shukla, Raimundo F. Dos Santos, Feng Chen, Chang-Tien Lu:
DISCRN: A Distributed Storytelling Framework for Intelligence Analysis. Big Data 5(3): 225-245 (2017) - [j35]Manu Shukla, Raimundo F. Dos Santos, Andrew Fong, Chang-Tien Lu:
DERIV: distributed brand perception tracking framework. J. Big Data 4: 17 (2017) - [j34]Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization. Proc. IEEE 105(10): 1953-1970 (2017) - [j33]Xutong Liu, Feng Chen, Yen-Cheng Lu, Chang-Tien Lu:
Spatial Prediction for Multivariate Non-Gaussian Data. ACM Trans. Knowl. Discov. Data 11(3): 36:1-36:27 (2017) - [j32]Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting. IEEE Trans. Knowl. Data Eng. 29(5): 1059-1072 (2017) - 2016
- [j31]Liang Zhao, Ting Hua, Chang-Tien Lu, Ing-Ray Chen:
A topic-focused trust model for Twitter. Comput. Commun. 76: 1-11 (2016) - [j30]Raimundo F. Dos Santos, Sumit Shah, Arnold P. Boedihardjo, Feng Chen, Chang-Tien Lu, Patrick Butler, Naren Ramakrishnan:
A framework for intelligence analysis using spatio-temporal storytelling. GeoInformatica 20(2): 285-326 (2016) - [j29]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Automatic targeted-domain spatiotemporal event detection in twitter. GeoInformatica 20(4): 765-795 (2016) - [j28]Raimundo F. Dos Santos, Arnold P. Boedihardjo, Sumit Shah, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
The big data of violent events: algorithms for association analysis using spatio-temporal storytelling. GeoInformatica 20(4): 879-921 (2016) - [j27]Yan Shi, Min Deng, Xuexi Yang, Qiliang Liu, Liang Zhao, Chang-Tien Lu:
A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter. ISPRS Int. J. Geo Inf. 5(10): 193 (2016) - [j26]Yao-Jan Wu, Feng Chen, Chang-Tien Lu, Shu Yang:
Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model. J. Intell. Transp. Syst. 20(3): 282-293 (2016) - [j25]Yen-Cheng Lu, Feng Chen, Yating Wang, Chang-Tien Lu:
Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach. IEEE Trans. Knowl. Data Eng. 28(10): 2582-2595 (2016) - [j24]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Online Spatial Event Forecasting in Microblogs. ACM Trans. Spatial Algorithms Syst. 2(4): 15:1-15:39 (2016) - 2015
- [j23]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:
Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. 30(5): 86-90 (2015) - [j22]Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen:
Fast adaptive kernel density estimator for data streams. Knowl. Inf. Syst. 42(2): 285-317 (2015) - [j21]Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
How events unfold: spatiotemporal mining in social media. ACM SIGSPATIAL Special 7(3): 19-25 (2015) - 2014
- [j20]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:
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. Big Data 2(4): 185-195 (2014) - [j19]Fang Jin, Wei Wang, Liang Zhao, Edward R. Dougherty, Yang Cao, Chang-Tien Lu, Naren Ramakrishnan:
Misinformation Propagation in the Age of Twitter. Computer 47(12): 90-94 (2014) - [j18]Xutong Liu, Feng Chen, Chang-Tien Lu:
On detecting spatial categorical outliers. GeoInformatica 18(3): 501-536 (2014) - [j17]Arnold P. Boedihardjo, Chang-Tien Lu, Bingsheng Wang:
A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams. ACM Trans. Knowl. Discov. Data 9(1): 2:1-2:38 (2014) - [j16]Qiben Yan, Ming Li, Feng Chen, Tingting Jiang, Wenjing Lou, Yiwei Thomas Hou, Chang-Tien Lu:
SpecMonitor: Toward Efficient Passive Traffic Monitoring for Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 13(10): 5893-5905 (2014) - 2013
- [j15]Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers:
Analyzing Civil Unrest through Social Media. Computer 46(12): 80-84 (2013) - [j14]Qi Li, Chang-Tien Lu:
A two-layer framework for appearance based recognition using spatial and discriminant influences. Neurocomputing 119: 425-433 (2013) - 2011
- [j13]Chang-Tien Lu, Raimundo F. Dos Santos, Xutong Liu, Yufeng Kou:
A Graph-Based Approach to Detect Abnormal Spatial Points and Regions. Int. J. Artif. Intell. Tools 20(4): 721-751 (2011) - 2009
- [j12]Chang-Tien Lu, Jing Dai, Ying Jin, Janek Mathuria:
GLIP: A Concurrency Control Protocol for Clipping Indexing. IEEE Trans. Knowl. Data Eng. 21(5): 714-728 (2009) - 2008
- [j11]Chad M. S. Steel, Chang-Tien Lu:
Impersonator identification through dynamic fingerprinting. Digit. Investig. 5(1-2): 60-70 (2008) - [j10]Dechang Chen, Chang-Tien Lu, Yufeng Kou, Feng Chen:
On Detecting Spatial Outliers. GeoInformatica 12(4): 455-475 (2008) - 2007
- [j9]Chang-Tien Lu, Raimundo F. Dos Santos, Lakshmi N. Sripada, Yufeng Kou:
Advances in GML for Geospatial Applications. GeoInformatica 11(1): 131-157 (2007) - [j8]Chang-Tien Lu, Yufeng Kou, Jiang Zhao, Li Chen:
Detecting and tracking regional outliers in meteorological data. Inf. Sci. 177(7): 1609-1632 (2007) - 2005
- [j7]Yufeng Kou, Chang-Tien Lu, Adil Godrej, Thomas Grizzard, Harold Post:
A Web-based Data Visualization and Analysis System for Watershed Management. Ann. GIS 11(1): 40-49 (2005) - [j6]Chang-Tien Lu, Lakshmi N. Sripada, Shashi Shekhar, Rulin Liu:
Transportation data visualisation and mining for emergency management. Int. J. Crit. Infrastructures 1(2/3): 170-194 (2005) - 2004
- [j5]Chang-Tien Lu, Dechang Chen, Yufeng Kou:
Multivariate Spatial Outlier Detection. Int. J. Artif. Intell. Tools 13(4): 801-812 (2004) - 2003
- [j4]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
A Unified Approach to Detecting Spatial Outliers. GeoInformatica 7(2): 139-166 (2003) - 2002
- [j3]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
Detecting graph-based spatial outliers. Intell. Data Anal. 6(5): 451-468 (2002) - [j2]Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada:
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach. IEEE Trans. Knowl. Data Eng. 14(6): 1400-1421 (2002) - 1999
- [j1]Shashi Shekhar, Sanjay Chawla, Sivakumar Ravada, Andrew Fetterer, Xuan Liu, Chang-Tien Lu:
Spatial Databases - Accomplishments and Research Needs. IEEE Trans. Knowl. Data Eng. 11(1): 45-55 (1999)
Conference and Workshop Papers
- 2024
- [c146]Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu:
GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) 2024: 431-443 - 2023
- [c145]Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu:
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI 2023: 15912-15920 - [c144]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. ACL (1) 2023: 11014-11026 - [c143]Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu:
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. ASONAM 2023: 492-501 - [c142]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM 2023: 522-529 - [c141]Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji:
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. ASONAM 2023: 538-542 - [c140]Yanshen Sun, Jianger Yu, Chang-Tien Lu:
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks. BIBM 2023: 1429-1436 - [c139]Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. IEEE Big Data 2023: 895-904 - [c138]Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu:
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. IEEE Big Data 2023: 1863-1872 - [c137]Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. IEEE Big Data 2023: 5014-5023 - [c136]Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu:
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. IEEE Big Data 2023: 5134-5139 - [c135]Lulwah Alkulaib, Chang-Tien Lu:
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. IEEE Big Data 2023: 5140-5145 - [c134]Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu:
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. SIGSPATIAL/GIS 2023: 25:1-25:10 - [c133]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. SIGSPATIAL/GIS 2023: 80:1-80:4 - [c132]Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao:
Infinitely Deep Graph Transformation Networks. ICDM 2023: 778-787 - [c131]Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu:
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD 2023: 698-710 - [c130]Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li:
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. SIGIR 2023: 3130-3134 - [c129]Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu:
LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP 2023: 89-100 - 2022
- [c128]Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen:
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI 2022: 13015-13016 - [c127]Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu:
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI 2022: 13075-13076 - [c126]Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). AAAI 2022: 13111-13112 - [c125]Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen:
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI 2022: 13115-13116 - [c124]Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu:
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM 2022: 427-435 - [c123]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM 2022: 444-453 - [c122]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. IEEE Big Data 2022: 693-700 - [c121]Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu:
Twitter Bot Identification: An Anomaly Detection Approach. IEEE Big Data 2022: 3577-3585 - [c120]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. IEEE Big Data 2022: 5163-5172 - [c119]Sara A. Alsalamah, Shada Alsalamah, Walaa N. Ismail, Hessah A. Alsalamah, Chang-Tien Lu:
Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. IEEE Big Data 2022: 5200-5209 - [c118]Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. IEEE Big Data 2022: 5338-5345 - [c117]Charles Duong, Lei Zhang, Chang-Tien Lu:
HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. IEEE Big Data 2022: 5698-5707 - [c116]Sara A. Alsalamah, Shada Alsalamah, Hessah A. Alsalamah, Chang-Tien Lu:
Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals' Legacy Information Systems. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c115]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu:
Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) 2022: 73-90 - [c114]Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu:
Granger Causal Inference for Interpretable Traffic Prediction. ITSC 2022: 1645-1651 - [c113]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) 2022: 1987-1997 - [c112]Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen:
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM 2022: 100-108 - 2021
- [c111]Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI 2021: 7953-7960 - [c110]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM 2021: 168-175 - [c109]Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu:
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData 2021: 1619-1624 - [c108]Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu:
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. IEEE BigData 2021: 4313-4322 - [c107]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS 2021: 450-453 - [c106]Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu:
Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map. ICCVW 2021: 1876-1885 - [c105]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME 2021: 1-6 - 2020
- [c104]Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu:
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI 2020: 6845-6852 - [c103]Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu:
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI 2020: 6853-6860 - [c102]Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
Geospatial Clustering for Balanced and Proximal Schools. AAAI 2020: 13358-13365 - [c101]Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick, Yanlin Li:
RISECURE: Metro Incidents And Threat Detection Using Social Media. ASONAM 2020: 531-535 - [c100]Jason Wang, Kaiqun Fu, Chang-Tien Lu:
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. IEEE BigData 2020: 1699-1708 - [c99]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao:
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363 - [c98]Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu:
Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) 2020: 8362-8372 - [c97]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS 2020: 25-35 - [c96]Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu:
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS 2020: 135-138 - [c95]Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS 2020: 497-506 - 2019
- [c94]Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Feature driven learning framework for cybersecurity event detection. ASONAM 2019: 196-203 - [c93]Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu:
Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) 2019: 5001-5010 - [c92]Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu:
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS 2019: 329-338 - [c91]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS 2019: 544-547 - [c90]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI 2019: 2621-2627 - [c89]Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala:
Spatio-temporal Event Forecasting and Precursor Identification. KDD 2019: 3237-3238 - [c88]Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
Mitigating Uncertainty in Document Classification. NAACL-HLT (1) 2019: 3126-3136 - [c87]Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu:
Collect Ethically: Reduce Bias in Twitter Datasets. SIMBig 2019: 106-114 - 2018
- [c86]Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
Multi-Task Learning for Transit Service Disruption Detection. ASONAM 2018: 634-641 - [c85]Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, Chang-Tien Lu:
Situation-Based Interpretable Learning for Personality Prediction in Social Media. IEEE BigData 2018: 1554-1562 - [c84]Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu:
StreetNet: preference learning with convolutional neural network on urban crime perception. SIGSPATIAL/GIS 2018: 269-278 - [c83]Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu:
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM 2018: 59-68 - [c82]Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Online Feature Selection Under Adversarial Data Corruption. ICDM 2018: 1440-1445 - [c81]Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI 2018: 3148-3154 - [c80]Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI 2018: 3797-3804 - 2017
- [c79]Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan:
Determining Relative Airport Threats from News and Social Media. AAAI 2017: 4701-4707 - [c78]Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu:
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. IEEE BigData 2017: 1590-1599 - [c77]Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData 2017: 1688-1693 - [c76]Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. CIKM 2017: 507-516 - [c75]Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan:
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CIKM 2017: 1049-1057 - [c74]Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Online and Distributed Robust Regressions Under Adversarial Data Corruption. ICDM 2017: 625-634 - [c73]Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu:
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. ICDM 2017: 817-822 - [c72]Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Heuristic Hard Thresholding. IJCAI 2017: 3434-3440 - [c71]Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu:
Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI 2017: 3967-3973 - [c70]Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan:
Absenteeism Detection in Social Media. SDM 2017: 606-614 - 2016
- [c69]Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Topical Analysis of Interactions Between News and Social Media. AAAI 2016: 2964-2971 - [c68]Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu:
Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. IEEE BigData 2016: 1522-1531 - [c67]Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan:
Automatical Storyline Generation with Help from Twitter. CIKM 2016: 2383-2388 - [c66]Manu Shukla, Ray Dos Santos, Andrew Fong, Chang-Tien Lu:
DISTL: Distributed In-Memory Spatio-Temporal Event-based Storyline Categorization Platform in Social Media. GISTAM 2016: 39-50 - [c65]Manu Shukla, Andrew Fong, Raimundo F. Dos Santos, Chang-Tien Lu:
Event Categorization and Key Prospect Identification from Storylines. GISTAM (Selected Papers) 2016: 62-88 - [c64]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-resolution Spatial Event Forecasting in Social Media. ICDM 2016: 689-698 - [c63]Manu Shukla, Andrew Fong, Raimundo F. Dos Santos, Chang-Tien Lu:
DERIV: Distributed In-Memory Brand Perception Tracking Framework. ICMLA 2016: 387-393 - [c62]Yen-Cheng Lu, Chih-Wei Wu, Alexander Lerch, Chang-Tien Lu:
Automatic Outlier Detection in Music Genre Datasets. ISMIR 2016: 101-107 - [c61]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:
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD 2016: 205-214 - [c60]Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. KDD 2016: 2085-2094 - [c59]Yen-Cheng Lu, Chih-Wei Wu, Chang-Tien Lu, Alexander Lerch:
An Unsupervised Approach to Anomaly Detection in Music Datasets. SIGIR 2016: 749-752 - 2015
- [c58]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Dynamic theme tracking in Twitter. IEEE BigData 2015: 561-570 - [c57]Kaiqun Fu, Weisheng Zhong, Chang-Tien Lu, Arnold P. Boedihardjo:
Find the butterfly: a social media based arterial incidents detection and causality analysis system. SIGSPATIAL/GIS 2015: 99:1-99:4 - [c56]Manu Shukla, Ziqian Chen, Chang-Tien Lu:
DIFPL - Distributed Drone Flight Path Builder System. GISTAM 2015: 17-26 - [c55]Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan:
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. ICDM 2015: 639-648 - [c54]Kaiqun Fu, Chang-Tien Lu, Rakesh Nune, Jason Xianding Tao:
Steds: Social Media Based Transportation Event Detection with Text Summarization. ITSC 2015: 1952-1957 - [c53]Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-Task Learning for Spatio-Temporal Event Forecasting. KDD 2015: 1503-1512 - [c52]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting in Social Media. SDM 2015: 963-971 - 2014
- [c51]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:
The EMBERS architecture for streaming predictive analytics. IEEE BigData 2014: 11-13 - [c50]Raimundo F. Dos Santos, Sumit Shah, Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan:
Forecasting location-based events with spatio-temporal storytelling. LBSN@SIGSPATIAL/GIS 2014: 13-22 - [c49]Kruthika Rathinavel, Gaurav Dixit, Michael Matarazzo, Chang-Tien Lu:
Shopaholic: a crowd-sourced spatio-temporal product-deals evaluation system (demo paper). IWGS 2014: 81-84 - [c48]Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang:
A search and summary application for traffic events detection based on Twitter data. SIGSPATIAL/GIS 2014: 549-552 - [c47]Kaiqun Fu, Yen-Cheng Lu, Chang-Tien Lu:
TREADS: a safe route recommender using social media mining and text summarization. SIGSPATIAL/GIS 2014: 557-560 - [c46]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:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - 2013
- [c45]Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu:
A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. AAAI 2013: 633-639 - [c44]Ahmed Elbery, Mustafa ElNainay, Feng Chen, Chang-Tien Lu, Jeffrey Kendall:
A carpooling recommendation system based on social VANET and geo-social data. SIGSPATIAL/GIS 2013: 546-549 - [c43]Douglas Grosvenor, Jeffrey Kendall, Amy Sanders, Chang-Tien Lu:
Kongress: a search and data mining application for U.S. congressional voting and Twitter data. SIGSPATIAL/GIS 2013: 550-553 - [c42]Haili Dong, Bingsheng Wang, Chang-Tien Lu:
Deep Sparse Coding based Recursive Disaggregation Model for Water Conservation. IJCAI 2013: 2804-2810 - [c41]Qiben Yan, Ming Li, Feng Chen, Tingting Jiang, Wenjing Lou, Y. Thomas Hou, Chang-Tien Lu:
Non-parametric passive traffic monitoring in cognitive radio networks. INFOCOM 2013: 1240-1248 - [c40]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
STED: semi-supervised targeted-interest event detectionin in twitter. KDD 2013: 1466-1469 - [c39]Arnold P. Boedihardjo, Feng Chen, Haili Dong, Chang-Tien Lu, Bingsheng Wang:
A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation. SDM 2013: 704-712 - 2012
- [c38]Bingsheng Wang, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu, Harland Yu, Ing-Ray Chen, Jing Dai:
An integrated framework for spatio-temporal-textual search and mining. SIGSPATIAL/GIS 2012: 570-573 - [c37]Xutong Liu, Feng Chen, Chang-Tien Lu:
Robust Prediction and Outlier Detection for Spatial Datasets. ICDM 2012: 469-478 - [c36]Bingsheng Wang, Feng Chen, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu:
Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary. ICDM 2012: 1134-1139 - 2011
- [c35]Yang Chen, Manabu Torii, Chang-Tien Lu, Hongfang Liu:
Learning from positive and unlabeled documents for automated detection of alternative splicing sentences in medline abstracts. BIBM Workshops 2011: 530-537 - [c34]Xutong Liu, Feng Chen, Chang-Tien Lu:
Spatial categorical outlier detection: pair correlation function based approach. GIS 2011: 465-468 - [c33]Sumit Shah, Fenye Bao, Chang-Tien Lu, Ing-Ray Chen:
CROWDSAFE: crowd sourcing of crime incidents and safe routing on mobile devices. GIS 2011: 521-524 - [c32]Yuan-Chi Chang, Chang-Tien Lu, Huong Morris, Pamela M. Murray-Tuite, Quoc-Bao Nguyen:
Community Situational Awareness and Resilience through Mobile Applications. ICEBE 2011: 185-192 - [c31]Feng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu:
Activity analysis based on low sample rate smart meters. KDD 2011: 240-248 - [c30]Jing Dai, Chang-Tien Lu:
DIME: Disposable Index for Moving Objects. Mobile Data Management (1) 2011: 68-77 - [c29]Raimundo F. Dos Santos, Arnold P. Boedihardjo, Chang-Tien Lu:
A framework for the expansion of spatial features based on semantic footprints. SMC 2011: 3421-3426 - 2010
- [c28]Xutong Liu, Chang-Tien Lu, Feng Chen:
Spatial outlier detection: random walk based approaches. GIS 2010: 370-379 - [c27]Xutong Liu, Changshu Jian, Chang-Tien Lu:
A spatio-temporal-textual crime search engine. GIS 2010: 528-529 - [c26]Jing Dai, Chang-Tien Lu:
C3: Concurrency control on continuous queries over moving objects. ICDE 2010: 121-132 - [c25]Qi Li, Chang-Tien Lu:
Appearance Based Recognition Using Spatial and Discriminant Influence. ICMLA 2010: 78-83 - [c24]Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo:
GLS-SOD: a generalized local statistical approach for spatial outlier detection. KDD 2010: 1069-1078 - 2009
- [c23]Jing Dai, Chang-Tien Lu, Lien Fu Lai:
A Concurrency Control Protocol for Continuously Monitoring Moving Objects. Mobile Data Management 2009: 132-141 - 2008
- [c22]Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen:
A framework for estimating complex probability density structures in data streams. CIKM 2008: 619-628 - [c21]Chang-Tien Lu, Arnold P. Boedihardjo, Jing Dai, Feng Chen:
HOMES: highway operation monitoring and evaluation system. GIS 2008: 85 - [c20]Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo:
On Locally Linear Classification by Pairwise Coupling. ICDM 2008: 749-754 - [c19]Xutong Liu, Chang-Tien Lu, Feng Chen:
An entropy-based method for assessing the number of spatial outliers. IRI 2008: 244-249 - 2007
- [c18]Jing Dai, Chang-Tien Lu:
CLAM: concurrent location management for moving objects. GIS 2007: 38 - [c17]Yufeng Kou, Chang-Tien Lu, Raimundo F. Dos Santos:
Spatial Outlier Detection: A Graph-Based Approach. ICTAI (1) 2007: 281-288 - [c16]Chang-Tien Lu, Manu Shukla, Siri H. Subramanya, Yamin Wu:
Performance Evaluation of Desktop Search Engines. IRI 2007: 110-115 - 2006
- [c15]Chang-Tien Lu, Arnold P. Boedihardjo, Jinping Zheng:
AITVS: Advanced Interactive Traffic Visualization System. ICDE 2006: 167 - [c14]Arnold P. Boedihardjo, Chang-Tien Lu:
AOID: adaptive on-line incident detection system. ITSC 2006: 858-863 - [c13]Yufeng Kou, Chang-Tien Lu, Dechang Chen:
Spatial Weighted Outlier Detection. SDM 2006: 614-618 - 2005
- [c12]Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Manalwar:
Exploiting efficient data mining techniques to enhance intrusion detection systems. IRI 2005: 512-517 - [c11]Wei Fan, Janek Mathuria, Chang-Tien Lu:
Making Data Mining Models Useful to Model Non-paying Customers of Exchange Carriers. SDM 2005: 486-490 - 2004
- [c10]Lakshmi N. Sripada, Chang-Tien Lu, Weili Wu:
Evaluating GML Support for Spatial Databases. COMPSAC Workshops 2004: 74-77 - [c9]Chang-Tien Lu, Lily R. Liang:
Wavelet fuzzy classification for detecting and tracking region outliers in meteorological data. GIS 2004: 258-265 - [c8]Jianghui Ying, Denis Gracanin, Chang-Tien Lu:
Web visualization of geo-spatial data using SVG and VRML/X3D. ICIG 2004: 497-500 - [c7]Seema Nambiar, Chang-Tien Lu, Lily R. Liang:
Analysis of Payment Transaction Security in Mobile Commerce. IRI 2004: 475-480 - 2003
- [c6]Jiang Zhao, Chang-Tien Lu, Yufeng Kou:
Detecting region outliers in meteorological data. GIS 2003: 49-55 - [c5]Chang-Tien Lu, Dechang Chen, Yufeng Kou:
Algorithms for Spatial Outlier Detection. ICDM 2003: 597-600 - [c4]Chang-Tien Lu, Dechang Chen, Yufeng Kou:
Detecting Spatial Outliers with Multiple Attributes. ICTAI 2003: 122-128 - 2002
- [c3]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Rulin Liu:
Data Mining for Selective Visualization of Large Spatial Datasets. ICTAI 2002: 41-48 - 2001
- [c2]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
Detecting graph-based spatial outliers: algorithms and applications (a summary of results). KDD 2001: 371-376 - 1998
- [c1]Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla:
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach. SRDS 1998: 302-308
Editorship
- 2021
- [e4]Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie:
SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021. ACM 2021, ISBN 978-1-4503-8664-7 [contents] - 2020
- [e3]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020. ACM 2020, ISBN 978-1-4503-8019-5 [contents] - 2017
- [e2]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:
Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21-23, 2017, Proceedings. Lecture Notes in Computer Science 10411, Springer 2017, ISBN 978-3-319-64366-3 [contents] - 2009
- [e1]Divyakant Agrawal, Walid G. Aref, Chang-Tien Lu, Mohamed F. Mokbel, Peter Scheuermann, Cyrus Shahabi, Ouri Wolfson:
17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2009, November 4-6, 2009, Seattle, Washington, USA, Proceedings. ACM 2009, ISBN 978-1-60558-649-6 [contents]
Reference Works
- 2017
- [r14]Jing (David) Dai, Chang-Tien Lu:
Concurrency Control for Spatial Access. Encyclopedia of GIS 2017: 285-286 - [r13]Jing (David) Dai, Chang-Tien Lu:
Concurrency Control for Spatial Access Method. Encyclopedia of GIS 2017: 286-291 - [r12]Raimundo F. Dos Santos, Chang-Tien Lu:
Geography Markup Language (GML). Encyclopedia of GIS 2017: 689-694 - [r11]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query. Encyclopedia of GIS 2017: 1433-1440 - [r10]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query, Definition. Encyclopedia of GIS 2017: 1440-1441 - [r9]Yufeng Kou, Chang-Tien Lu:
Outlier Detection. Encyclopedia of GIS 2017: 1538-1539 - [r8]Yufeng Kou, Chang-Tien Lu:
Outlier Detection, Spatial. Encyclopedia of GIS 2017: 1539-1546 - 2008
- [r7]Jing Dai, Chang-Tien Lu:
Concurrency Control for Spatial Access. Encyclopedia of GIS 2008: 124 - [r6]Jing Dai, Chang-Tien Lu:
Concurrency Control for Spatial Access Method. Encyclopedia of GIS 2008: 124-128 - [r5]Raimundo F. Dos Santos, Chang-Tien Lu:
Geography Markup Language (GML). Encyclopedia of GIS 2008: 364-368 - [r4]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query. Encyclopedia of GIS 2008: 776-782 - [r3]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query, Definition. Encyclopedia of GIS 2008: 782-783 - [r2]Yufeng Kou, Chang-Tien Lu:
Outlier Detection. Encyclopedia of GIS 2008: 832-833 - [r1]Yufeng Kou, Chang-Tien Lu:
Outlier Detection, Spatial. Encyclopedia of GIS 2008: 833-838
Data and Artifacts
- 2021
- [d1]Jason Wang, Kaiqun Fu, Chang-Tien Lu:
Fine-Grained Balanced Cyberbullying Dataset. IEEE DataPort, 2021
Informal and Other Publications
- 2024
- [i38]Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu:
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. CoRR abs/2402.11406 (2024) - [i37]Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu:
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges. CoRR abs/2403.18249 (2024) - 2023
- [i36]Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR abs/2303.12238 (2023) - [i35]Dongjie Wang, Chang-Tien Lu, Yanjie Fu:
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning. CoRR abs/2304.03892 (2023) - [i34]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR abs/2306.02175 (2023) - [i33]Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu:
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain. CoRR abs/2306.08871 (2023) - [i32]Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu:
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. CoRR abs/2309.05840 (2023) - [i31]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR abs/2309.17437 (2023) - [i30]Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji:
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. CoRR abs/2310.18706 (2023) - [i29]Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen:
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. CoRR abs/2311.08726 (2023) - [i28]Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu:
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. CoRR abs/2312.03758 (2023) - [i27]Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhang Wang, Chang-Tien Lu:
Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization. CoRR abs/2312.07763 (2023) - 2022
- [i26]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Sampling-based techniques for designing school boundaries. CoRR abs/2206.03703 (2022) - [i25]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic algorithms for Spatial Partitioning problems. CoRR abs/2208.02867 (2022) - [i24]Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu:
LANS: Large-scale Arabic News Summarization Corpus. CoRR abs/2210.13600 (2022) - 2021
- [i23]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR abs/2107.10234 (2021) - [i22]Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu:
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. CoRR abs/2109.11053 (2021) - [i21]Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR abs/2111.05199 (2021) - [i20]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR abs/2112.14699 (2021) - 2020
- [i19]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR abs/2002.11867 (2020) - [i18]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. CoRR abs/2007.01496 (2020) - [i17]Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR abs/2008.09912 (2020) - [i16]Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao:
Semantic Editing On Segmentation Map Via Multi-Expansion Loss. CoRR abs/2010.08128 (2020) - 2019
- [i15]Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Robust Regression via Online Feature Selection under Adversarial Data Corruption. CoRR abs/1902.01729 (2019) - [i14]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu:
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR abs/1902.05357 (2019) - [i13]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR abs/1905.10022 (2019) - [i12]Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
Mitigating Uncertainty in Document Classification. CoRR abs/1907.07590 (2019) - [i11]Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu:
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR abs/1911.08684 (2019) - 2018
- [i10]Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR abs/1807.02234 (2018) - [i9]Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen:
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. CoRR abs/1808.08951 (2018) - [i8]Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu:
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR abs/1808.10073 (2018) - 2017
- [i7]Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan:
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CoRR abs/1702.07745 (2017) - [i6]Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Online and Distributed Robust Regressions under Adversarial Data Corruption. CoRR abs/1710.00904 (2017) - [i5]Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu:
Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR abs/1712.01455 (2017) - [i4]Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu:
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. CoRR abs/1712.01456 (2017) - [i3]Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu:
SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing. CoRR abs/1712.01469 (2017) - 2016
- [i2]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:
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. CoRR abs/1604.00033 (2016) - 2014
- [i1]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:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014)
Coauthor Index
[j60] [j53] [j48] [j40] [j36] [j34] [j33] [j32] [j30] [j29] [j28] [j26] [j25] [j24] [j22] [j21] [j18] [j16] [j15] [j10] [c89] [c83] [c70] [c69] [c64] [c60] [c58] [c55] [c53] [c52] [c50] [c46] [c45] [c44] [c41] [c40] [c39] [c37] [c36] [c34] [c31] [c28] [c24] [c22] [c21] [c20] [c19] [r11] [r10] [r4] [r3] [i29] [i23] [i19] [i9] [i8] [i1]
Jing Dai
aka: Jing (David) Dai
aka: Jing (David) Dai
[j59] [j56] [j53] [j48] [j34] [j32] [j30] [j29] [j28] [j24] [j23] [j21] [j20] [j19] [j15] [c145] [c125] [c111] [c110] [c102] [c97] [c96] [c94] [c91] [c90] [c88] [c86] [c80] [c79] [c76] [c75] [c70] [c69] [c67] [c64] [c61] [c60] [c58] [c55] [c53] [c52] [c51] [c50] [c46] [c40] [i26] [i25] [i21] [i13] [i12] [i7] [i2] [i1]
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