Identifying bridging rules between conceptual clusters. - Shichao Zhang 001; Feng Chen 001; Xindong Wu 001; Chengqi Zhang (KDD, 2006)

A framework for estimating complex probability density structures in data streams. - Arnold P. Boedihardjo; Chang-Tien Lu; Feng Chen 001 (CIKM, 2008)

HOMES: highway operation monitoring and evaluation system. - Chang-Tien Lu; Arnold P. Boedihardjo; Jing Dai; Feng Chen 001 (GIS, 2008)

On Locally Linear Classification by Pairwise Coupling. - Feng Chen 001; Chang-Tien Lu; Arnold P. Boedihardjo (ICDM, 2008)

An entropy-based method for assessing the number of spatial outliers. - Xutong Liu 001; Chang-Tien Lu; Feng Chen 001 (IRI, 2008)

On Detecting Spatial Outliers. - Dechang Chen; Chang-Tien Lu; Yufeng Kou; Feng Chen 001 (GeoInformatica, 2008)

Nearest Neighbor Query. - Feng Chen 001; Chang-Tien Lu (Encyclopedia of GIS, 2008)

Nearest Neighbor Query, Definition. - Feng Chen 001; Chang-Tien Lu (Encyclopedia of GIS, 2008)

Mining class-bridge rules based on rough sets. - Shichao Zhang 001; Feng Chen 001; Zhi Jin; Ruili Wang (Expert Syst. Appl., 2009)

Regional behavior change detection via local spatial scan. - Jing Dai; Feng Chen 001; Sambit Sahu; Milind R. Naphade (GIS, 2010)

Spatial outlier detection: random walk based approaches. - Xutong Liu 001; Chang-Tien Lu; Feng Chen 001 (GIS, 2010)

GLS-SOD: a generalized local statistical approach for spatial outlier detection. - Feng Chen 001; Chang-Tien Lu; Arnold P. Boedihardjo (KDD, 2010)

Spatial categorical outlier detection: pair correlation function based approach. - Xutong Liu 001; Feng Chen 001; Chang-Tien Lu (GIS, 2011)

Multi-granular demand forecasting in SmarterWater. - Jing Dai; Ming Li 009; Sambit Sahu; Milind R. Naphade; Feng Chen 001 (UbiComp, 2011)

Activity analysis based on low sample rate smart meters. - Feng Chen 001; Jing Dai; Bingsheng Wang; Sambit Sahu; Milind R. Naphade; Chang-Tien Lu (KDD, 2011)

Student-t Based Robust Spatio-temporal Prediction. - Yang Chen 033; Feng Chen 001; Jing Dai; T. Charles Clancy; Yao-Jan Wu (ICDM, 2012)

Robust Prediction and Outlier Detection for Spatial Datasets. - Xutong Liu 001; Feng Chen 001; Chang-Tien Lu (ICDM, 2012)

Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary. - Bingsheng Wang; Feng Chen 001; Haili Dong; Arnold P. Boedihardjo; Chang-Tien Lu (ICDM, 2012)

Mining bridging rules between conceptual clusters. - Shichao Zhang 001; Feng Chen 001; Xindong Wu 001; Chengqi Zhang; Ruili Wang (Appl. Intell., 2012)

A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. - Yen-Cheng Lu; Feng Chen 001; Yang Chen 033; Chang-Tien Lu (AAAI, 2013)

Learning thread reply structure on patient forums. - Yunzhong Liu; Feng Chen 001; Yi Chen 001 (DARE@CIKM, 2013)

A carpooling recommendation system based on social VANET and geo-social data. - Ahmed Elbery; Mustafa ElNainay; Feng Chen 001; Chang-Tien Lu; Jeffrey Kendall (SIGSPATIAL/GIS, 2013)

Non-parametric passive traffic monitoring in cognitive radio networks. - Qiben Yan; Ming Li 003; Feng Chen 001; Tingting Jiang 005; Wenjing Lou; Y. Thomas Hou 001; Chang-Tien Lu (INFOCOM, 2013)

STED: semi-supervised targeted-interest event detectionin in twitter. - Ting Hua; Feng Chen 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (KDD, 2013)

A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation. - Arnold P. Boedihardjo; Feng Chen 001; Haili Dong; Chang-Tien Lu; Bingsheng Wang (SDM, 2013)

Analyzing Civil Unrest through Social Media. - Ting Hua; Chang-Tien Lu; Naren Ramakrishnan; Feng Chen 001; Jaime Arredondo; David Mares; Kristen Maria Summers (Computer, 2013)

Efficient Algorithms for Mining Large Spatio-Temporal Data. - Feng Chen 001 (2013)

Forecasting location-based events with spatio-temporal storytelling. - Raimundo F. Dos Santos; Sumit Shah; Feng Chen 001; Arnold P. Boedihardjo; Chang-Tien Lu; Naren Ramakrishnan (LBSN@SIGSPATIAL/GIS, 2014)

Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields. - Po-Ta Chen; Feng Chen 001; Zhen Qian (ICDM, 2014)

Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. - Feng Chen 001; Daniel B. Neill (KDD, 2014)

Modeling mass protest adoption in social network communities using geometric brownian motion. - Fang Jin; Rupinder Paul Khandpur; Nathan Self; Edward R. Dougherty; Sheng Guo 002; Feng Chen 001; B. Aditya Prakash; Naren Ramakrishnan (KDD, 2014)

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. - Naren Ramakrishnan; Patrick Butler; Sathappan Muthiah; Nathan Self; Rupinder Paul Khandpur; Parang Saraf; Wei Wang 064; Jose Cadena; Anil Vullikanti; Gizem Korkmaz; Chris J. Kuhlman; Achla Marathe; et al. (KDD, 2014)

On detecting spatial categorical outliers. - Xutong Liu 001; Feng Chen 001; Chang-Tien Lu (GeoInformatica, 2014)

SpecMonitor: Toward Efficient Passive Traffic Monitoring for Cognitive Radio Networks. - Qiben Yan; Ming Li 003; Feng Chen 001; Tingting Jiang 005; Wenjing Lou; Yiwei Thomas Hou; Chang-Tien Lu (IEEE Trans. Wirel. Commun., 2014)

Dynamic theme tracking in Twitter. - Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (IEEE BigData, 2015)

SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. - Liang Zhao 002; Jiangzhuo Chen; Feng Chen 001; Wei Wang 064; Chang-Tien Lu; Naren Ramakrishnan (ICDM, 2015)

Multi-Task Learning for Spatio-Temporal Event Forecasting. - Liang Zhao 002; Qian Sun 002; Jieping Ye; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (KDD, 2015)

Spatiotemporal Event Forecasting in Social Media. - Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (SDM, 2015)

Human Rights Event Detection from Heterogeneous Social Media Graphs. - Feng Chen 001; Daniel B. Neill (Big Data, 2015)

Fast adaptive kernel density estimator for data streams. - Arnold P. Boedihardjo; Chang-Tien Lu; Feng Chen 001 (Knowl. Inf. Syst., 2015)

How events unfold: spatiotemporal mining in social media. - Ting Hua; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (ACM SIGSPATIAL Special, 2015)

Topical Analysis of Interactions Between News and Social Media. - Ting Hua; Yue Ning 001; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (AAAI, 2016)

Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. - Nannan Wu; Feng Chen 001; Jianxin Li 002; Baojian Zhou; Naren Ramakrishnan (AAAI, 2016)

Graph Topic Scan Statistic for Spatial Event Detection. - Yu Liu 066; Baojian Zhou; Feng Chen 001; David W. Cheung (CIKM, 2016)

Multi-resolution Spatial Event Forecasting in Social Media. - Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (ICDM, 2016)

Graph-Structured Sparse Optimization for Connected Subgraph Detection. - Baojian Zhou; Feng Chen 001 (ICDM, 2016)

A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. - Feng Chen 001; Baojian Zhou (IJCAI, 2016)

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. - Liang Zhao 002; Jieping Ye; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (KDD, 2016)

Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. - Feng Chen 001; Baojian Zhou (CoRR, 2016)

Social Media as a Sensor for Censorship Detection in News Media. - Rongrong Tao; Baojian Zhou; Adil Alim; Feng Chen 001; David Mares; Patrick Butler; Naren Ramakrishnan (CoRR, 2016)

Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection. - Baojian Zhou; Feng Chen 001 (CoRR, 2016)

Automatic targeted-domain spatiotemporal event detection in twitter. - Ting Hua; Feng Chen 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (GeoInformatica, 2016)

The big data of violent events: algorithms for association analysis using spatio-temporal storytelling. - Raimundo F. Dos Santos; Arnold P. Boedihardjo; Sumit Shah; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (GeoInformatica, 2016)

A framework for intelligence analysis using spatio-temporal storytelling. - Raimundo F. Dos Santos; Sumit Shah; Arnold P. Boedihardjo; Feng Chen 001; Chang-Tien Lu; Patrick Butler; Naren Ramakrishnan (GeoInformatica, 2016)

Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model. - Yao-Jan Wu; Feng Chen 001; Chang-Tien Lu; Shu Yang 001 (J. Intell. Transp. Syst., 2016)

Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach. - Yen-Cheng Lu; Feng Chen 001; Yating Wang; Chang-Tien Lu (IEEE Trans. Knowl. Data Eng., 2016)

Online Spatial Event Forecasting in Microblogs. - Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (ACM Trans. Spatial Algorithms Syst., 2016)

Collective subjective logic: Scalable uncertainty-based opinion inference. - Feng Chen 001; Chunpai Wang; Jin-Hee Cho (IEEE BigData, 2017)

Making a Difference: Analytics for Quality Knowledge-Building Conversations. - Frank de Jong; Joan Van den Ende; Hennie van Heijst; Yoshiaki Matsuzawa; Paul A. Kirschner; Jianwei Zhang 004; Mei-Hwa Chen; Feng Chen 001; Carolyn P. Rosé; Erick Velazquez Godinez; Sylvie Ratté; Bodong Chen; et al. (CSCL, 2017)

A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. - Feng Chen 001; Baojian Zhou; Adil Alim; Liang Zhao 002 (ICDM, 2017)

Drug-Drug Interactions (DDIs) Detection from On-Line Health Forums: Bi-Submodular Optimization (BSMO). - Yan Hu; Rui Wang; Feng Chen 001 (ICHI, 2017)

Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs. - Nannan Wu; Feng Chen 001; Jianxin Li 002; Jinpeng Huai; Bo Li 005 (IJCAI, 2017)

Tracking Multiple Social Media for Stock Market Event Prediction. - Fang Jin; Wei Wang 064; Prithwish Chakraborty; Nathan Self; Feng Chen 001; Naren Ramakrishnan (ICDM, 2017)

Effective online software anomaly detection. - Yizhen Chen; Ming Ying; Daren Liu; Adil Alim; Feng Chen 001; Mei-Hwa Chen (ISSTA, 2017)

Near-Optimal and Practical Algorithms for Graph Scan Statistics. - Jose Cadena; Feng Chen 001; Anil Vullikanti (SDM, 2017)

Absenteeism Detection in Social Media. - Fang Jin; Feng Chen 001; Rupinder Paul Khandpur; Chang-Tien Lu; Naren Ramakrishnan (SDM, 2017)

An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. - Minglai Shao 001; Jianxin Li 002; Feng Chen 001; Hongyi Huang; Shuai Zhang 026; Xunxun Chen (WWW, 2017)

DISCRN: A Distributed Storytelling Framework for Intelligence Analysis. - Manu Shukla; Raimundo F. Dos Santos; Feng Chen 001; Chang-Tien Lu (Big Data, 2017)

Parallel algorithms for anomalous subgraph detection. - Jieyu Zhao; Jianxin Li 002; Baojian Zhou; Feng Chen 001; Paul Tomchik; Wuyang Ju (Concurr. Comput. Pract. Exp., 2017)

Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization. - Liang Zhao 002; Junxiang Wang; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (Proc. IEEE, 2017)

Spatial Prediction for Multivariate Non-Gaussian Data. - Xutong Liu 001; Feng Chen 001; Yen-Cheng Lu; Chang-Tien Lu (ACM Trans. Knowl. Discov. Data, 2017)

Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting. - Liang Zhao 002; Qian Sun 002; Jieping Ye; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (IEEE Trans. Knowl. Data Eng., 2017)

Nearest Neighbor Query. - Feng Chen 001; Chang-Tien Lu (Encyclopedia of GIS, 2017)

Nearest Neighbor Query, Definition. - Feng Chen 001; Chang-Tien Lu (Encyclopedia of GIS, 2017)

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. - Xujiang Zhao; Feng Chen 001; Jin-Hee Cho (IEEE BigData, 2018)

PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications. - Boyang Hu; Baojian Zhou; Qiben Yan; Adil Alim; Feng Chen 001; Huacheng Zeng (CNS, 2018)

Uncertainty Characteristics of Subjective Opinions. - Audun Jøsang; Jin-Hee Cho; Feng Chen 001 (FUSION, 2018)

Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. - Zhiqian Chen; Feng Chen 001; Rongjie Lai; Xuchao Zhang; Chang-Tien Lu (ICDM, 2018)

Deep Learning Based Scalable Inference of Uncertain Opinions. - Xujiang Zhao; Feng Chen 001; Jin-Hee Cho (ICDM, 2018)

An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. - Minglai Shao 001; Jianxin Li 002; Feng Chen 001; Xunxun Chen (INFOCOM, 2018)

Uncertainty-Based Opinion Inference on Network Data Using Graph Convolutional Neural Networks. - Xujiang Zhao; Feng Chen 001; Jin-Hee Cho (MILCOM, 2018)

Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. - Bingsheng Wang; Xuchao Zhang; Chang-Tien Lu; Feng Chen 001 (CoRR, 2018)

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. - Zhiqian Chen; Feng Chen 001; Rongjie Lai; Xuchao Zhang; Chang-Tien Lu (CoRR, 2018)

Preface: special issue on geo-social media analytics. - Feng Chen 001; Arnold P. Boedihardjo; Chang-Tien Lu (GeoInformatica, 2018)

Graph Anomaly Detection Based on Steiner Connectivity and Density. - Jose Cadena; Feng Chen 001; Anil Vullikanti (Proc. IEEE, 2018)

Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. - Lu Lin 001; Jianxin Li 002; Feng Chen 001; Jieping Ye; Jinpeng Huai (IEEE Trans. Knowl. Data Eng., 2018)

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. - Nannan Wu; Wenjun Wang 002; Feng Chen 001; Jianxin Li 002; Bo Li 005; Jinpeng Huai (AAAI, 2019)

Uncertainty-Aware Opinion Inference Under Adversarial Attacks. - Adil Alim; Xujiang Zhao; Jin-Hee Cho; Feng Chen 001 (IEEE BigData, 2019)

Uncertainty-based Decision Making Using Deep Reinforcement Learning. - Xujiang Zhao; Shu Hu; Jin-Hee Cho; Feng Chen 001 (FUSION, 2019)

Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. - Fei Jie; Chunpai Wang; Feng Chen 001; Lei Li 002; Xindong Wu 001 (ICDM, 2019)

Rank-Based Multi-task Learning for Fair Regression. - Chen Zhao 010; Feng Chen 001 (ICDM, 2019)

Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. - Baojian Zhou; Feng Chen 001; Yiming Ying (ICML, 2019)

Spatio-temporal Event Forecasting and Precursor Identification. - Yue Ning 001; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Huzefa Rangwala (KDD, 2019)

Dual Averaging Method for Online Graph-structured Sparsity. - Baojian Zhou; Feng Chen 001; Yiming Ying (KDD, 2019)

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. - Xujiang Zhao; Yuzhe Ou; Lance M. Kaplan; Feng Chen 001; Jin-Hee Cho (CoRR, 2019)

Bi-submodular Optimization (BSMO) for Detecting Drug-Drug Interactions (DDIs) from On-line Health Forums. - Yan Hu; Rui Wang; Feng Chen 001 (J. Heal. Informatics Res., 2019)

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. - Song Gao 001; Shawn D. Newsam; Liang Zhao 002; Dalton D. Lunga; Yingjie Hu; Bruno Martins 001; Xun Zhou 001; Feng Chen 001 (ACM SIGSPATIAL Special, 2019)

Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. - Jose Cadena; Feng Chen 001; Anil Vullikanti (ACM Trans. Knowl. Discov. Data, 2019)

A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. - Nannan Wu; Feng Chen 001; Jianxin Li 002; Jinpeng Huai; Baojian Zhou; Bo Li 005; Naren Ramakrishnan (IEEE Trans. Knowl. Data Eng., 2019)

Unfairness Discovery and Prevention For Few-Shot Regression. - Chen Zhao 010; Feng Chen 001 (ICKG, 2020)

Fair Meta-Learning For Few-Shot Classification. - Chen Zhao 010; Changbin Li; Jincheng Li; Feng Chen 001 (ICKG, 2020)

A Primal-Dual Subgradient Approach for Fair Meta Learning. - Chen Zhao 010; Feng Chen 001; Zhuoyi Wang; Latifur Khan (ICDM, 2020)

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. - Weishi Shi; Xujiang Zhao; Feng Chen 001; Qi Yu 001 (NeurIPS, 2020)

Uncertainty Aware Semi-Supervised Learning on Graph Data. - Xujiang Zhao; Feng Chen 001; Shu Hu; Jin-Hee Cho (NeurIPS, 2020)

Detecting Media Self-Censorship without Explicit Training Data. - Rongrong Tao; Baojian Zhou; Feng Chen 001; David Mares; Patrick Butler; Naren Ramakrishnan; Ryan Kennedy (SDM, 2020)

A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization. - Fei Jie; Chunpai Wang; Feng Chen 001; Lei Li 002; Xindong Wu 001 (IEEE Access, 2020)

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu (CoRR, 2020)

Robust Semi-Supervised Learning with Out of Distribution Data. - Xujiang Zhao; KrishnaTeja Killamsetty; Rishabh K. Iyer; Feng Chen 001 (CoRR, 2020)

A Reweighted Meta Learning Framework for Robust Few Shot Learning. - KrishnaTeja Killamsetty; Changbin Li; Chen Zhao 010; Rishabh K. Iyer; Feng Chen 001 (CoRR, 2020)

Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network. - Adil Alim; Aparna Joshi; Feng Chen 001; Catherine T. Lawson (GeoInformatica, 2020)

Online flu epidemiological deep modeling on disease contact network. - Liang Zhao 002; Jiangzhuo Chen; Feng Chen 001; Fang Jin; Wei Wang 064; Chang-Tien Lu; Naren Ramakrishnan (GeoInformatica, 2020)

Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. - Liang Zhao 002; Feng Chen 001; Yanfang Ye 001 (IEEE Trans. Knowl. Data Eng., 2020)

Multidimensional Uncertainty-Aware Evidential Neural Networks. - Yibo Hu 002; Yuzhe Ou; Xujiang Zhao; Jin-Hee Cho; Feng Chen 001 (AAAI, 2021)

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. - Hitesh Sapkota; Yiming Ying; Feng Chen 001; Qi Yu 001 (AISTATS, 2021)

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. - Liyan Xu; Xuchao Zhang; Xujiang Zhao; Haifeng Chen; Feng Chen 001; Jinho D. Choi (EMNLP (1), 2021)

Fairness-Aware Online Meta-learning. - Chen Zhao 010; Feng Chen 001; Bhavani Thuraisingham (KDD, 2021)

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. - KrishnaTeja Killamsetty; Xujiang Zhao; Feng Chen 001; Rishabh K. Iyer (NeurIPS, 2021)

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu C. Aggarwal; Chang-Tien Lu (CoRR, 2021)

Evaluating and comparing memory error vulnerability detectors. - Yu Nong; Haipeng Cai; Pengfei Ye; Li Li 029; Feng Chen 001 (Inf. Softw. Technol., 2021)

A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. - Shuai Zhang 026; Haoyi Zhou; Feng Chen 001; Jianxin Li 002 (IEEE Trans. Comput. Soc. Syst., 2021)

Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. - Minglai Shao 001; Jianxin Li 002; Qiben Yan; Feng Chen 001; Hongyi Huang; Xunxun Chen (IEEE Trans. Dependable Secur. Comput., 2021)

CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. - Adil Alim; Jin-Hee Cho; Feng Chen 001 (ACM Trans. Intell. Syst. Technol., 2021)

A Nested Bi-level Optimization Framework for Robust Few Shot Learning. - KrishnaTeja Killamsetty; Changbin Li; Chen Zhao 010; Feng Chen 001; Rishabh K. Iyer (AAAI, 2022)

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. - Chunpai Wang; Daniel B. Neill; Feng Chen 001 (AAAI, 2022)

SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. - Aneesh Komanduri; Yongkai Wu; Wen Huang 003; Feng Chen 001; Xintao Wu (IEEE Big Data, 2022)

Defending Evasion Attacks via Adversarially Adaptive Training. - Minh-Hao Van; Wei Du 009; Xintao Wu; Feng Chen 001; Aidong Lu (IEEE Big Data, 2022)

Seed: Sound Event Early Detection Via Evidential Uncertainty. - Xujiang Zhao; Xuchao Zhang; Wei Cheng 002; Wenchao Yu; Yuncong Chen; Haifeng Chen; Feng Chen 001 (ICASSP, 2022)

How Out-of-Distribution Data Hurts Semi-Supervised Learning. - Xujiang Zhao; KrishnaTeja Killamsetty; Rishabh K. Iyer; Feng Chen 001 (ICDM, 2022)

PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. - Changbin Li; Suraj Kothawade; Feng Chen 001; Rishabh K. Iyer (ICML, 2022)

Framing Algorithmic Recourse for Anomaly Detection. - Debanjan Datta; Feng Chen 001; Naren Ramakrishnan (KDD, 2022)

1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). - Chen Zhao 010; Feng Chen 001; Xintao Wu; Christopher Funk; Anthony Hoogs (KDD, 2022)

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. - Chen Zhao 010; Feng Mi; Xintao Wu; Kai Jiang; Latifur Khan; Feng Chen 001 (KDD, 2022)

Noninformative Prior Weights for Dirichlet PDFs*. - Audun Jøsang; Jin-Hee Cho; Feng Chen 001 (MFI, 2022)

Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. - Haoliang Wang; Chen Zhao 010; Xujiang Zhao; Feng Chen 001 (PAKDD (2), 2022)

Generating realistic vulnerabilities via neural code editing: an empirical study. - Yu Nong; Yuzhe Ou; Michael Pradel; Feng Chen 001; Haipeng Cai (ESEC/SIGSOFT FSE, 2022)

A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. - Zhen Guo; Zelin Wan; Qisheng Zhang; Xujiang Zhao; Feng Chen 001; Jin-Hee Cho; Qi Zhang; Lance M. Kaplan; Dong Hyun Jeong; Audun Jøsang (CoRR, 2022)

Block-Structured Optimization for Subgraph Detection in Interdependent Networks. - Fei Jie; Chunpai Wang; Feng Chen 001; Lei Li 002; Xindong Wu 001 (CoRR, 2022)

PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. - Qisheng Zhang; Zhen Guo; Audun Jøsang; Lance M. Kaplan; Feng Chen 001; Dong Hyun Jeong; Jin-Hee Cho (CoRR, 2022)

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. - Liang Zhao 002; Yuyang Gao; Jieping Ye; Feng Chen 001; Yanfang Ye 001; Chang-Tien Lu; Naren Ramakrishnan (ACM Trans. Knowl. Discov. Data, 2022)

Multi-Label Temporal Evidential Neural Networks for Early Event Detection. - Xujiang Zhao; Xuchao Zhang; Chen Zhao 010; Jin-Hee Cho; Lance M. Kaplan; Dong Hyun Jeong; Audun Jøsang; Haifeng Chen; Feng Chen 001 (ICASSP, 2023)

VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning. - Yu Nong; Yuzhe Ou; Michael Pradel; Feng Chen 001; Haipeng Cai (ICSE, 2023)

Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. - Zhen Guo; Qi Zhang; Qisheng Zhang; Lance M. Kaplan; Audun Jøsang; Feng Chen 001; Dong Hyun Jeong; Jin-Hee Cho (ICWS, 2023)

2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). - Chen Zhao 010; Feng Chen 001; Xintao Wu; Haifeng Chen; Jiayu Zhou (KDD, 2023)

Towards Fair Disentangled Online Learning for Changing Environments. - Chen Zhao 010; Feng Mi; Xintao Wu; Kai Jiang; Latifur Khan; Christan Grant; Feng Chen 001 (KDD, 2023)

2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. - Xujiang Zhao; Chen Zhao 010; Feng Chen 001; Jin-Hee Cho; Haifeng Chen (KDD, 2023)

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization. - Russell Hart; Linlin Yu; Yifei Lou; Feng Chen 001 (NeurIPS, 2023)

Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. - Zhen Guo; Qi Zhang; Xinwei An; Qisheng Zhang; Audun Jøsang; Lance M. Kaplan; Feng Chen 001; Dong Hyun Jeong; Jin-Hee Cho (CoRR, 2023)

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. - Haoliang Wang; Chen Zhao 010; Yunhui Guo; Kai Jiang; Feng Chen 001 (CoRR, 2023)

Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. - Dong Hyun Jeong; Jin-Hee Cho; Feng Chen 001; Audun Jøsang; Soo-Yeon Ji (CoRR, 2023)

Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. - Chen Zhao 010; Kai Jiang; Xintao Wu; Haoliang Wang; Latifur Khan; Christan Grant; Feng Chen 001 (CoRR, 2023)

Interactive Web-Based Visual Analysis on Network Traffic Data. - Dong Hyun Jeong; Jin-Hee Cho; Feng Chen 001; Lance M. Kaplan; Audun Jøsang; Soo-Yeon Ji (Inf., 2023)

Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic. - Qi Zhang; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (IEEE Big Data, 2024)

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. - Aneesh Komanduri; Chen Zhao 010; Feng Chen 001; Xintao Wu (ECAI, 2024)

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? - Jianfeng He; Runing Yang; Linlin Yu; Changbin Li; Ruoxi Jia 001; Feng Chen 001; Ming Jin 002; Chang-Tien Lu (EMNLP, 2024)

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. - Changbin Li; Kangshuo Li; Yuzhe Ou; Lance M. Kaplan; Audun Jøsang; Jin-Hee Cho; Dong Hyun Jeong; Feng Chen 001 (ICLR, 2024)

Uncertainty-aware Graph-based Hyperspectral Image Classification. - Linlin Yu; Yifei Lou; Feng Chen 001 (ICLR, 2024)

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses. - Yu Nong; Richard Fang; Guangbei Yi; Kunsong Zhao; Xiapu Luo; Feng Chen 001; Haipeng Cai (ICSE, 2024)

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. - Aneesh Komanduri; Yongkai Wu; Feng Chen 001; Xintao Wu (IJCAI, 2024)

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. - Chen Zhao 010; Kai Jiang; Xintao Wu; Haoliang Wang; Latifur Khan; Christan Grant; Feng Chen 001 (KDD, 2024)

3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). - Chen Zhao 010; Feng Chen 001; Xintao Wu; Jundong Li; Haifeng Chen (KDD, 2024)

3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). - Xujiang Zhao; Chen Zhao 010; Feng Chen 001; Jin-Hee Cho; Wei Hua; Haifeng Chen (KDD, 2024)

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. - Jianfeng He; Linlin Yu; Shuo Lei; Chang-Tien Lu; Feng Chen 001 (NAACL-HLT (Findings), 2024)

VinJ: An Automated Tool for Large-Scale Software Vulnerability Data Generation. - Yu Nong; Haoran Yang; Feng Chen 001; Haipeng Cai (SIGSOFT FSE Companion, 2024)

Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities. - Yu Nong; Mohammed Aldeen; Long Cheng 005; Hongxin Hu; Feng Chen 001; Haipeng Cai (CoRR, 2024)

Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. - Qi Zhang; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (CoRR, 2024)

Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. - Linlin Yu; Bowen Yang; Tianhao Wang; Kangshuo Li; Feng Chen 001 (CoRR, 2024)

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. - Mohammad Beigi; Sijia Wang; Ying Shen 006; Zihao Lin 003; Adithya Kulkarni; Jianfeng He; Feng Chen 001; Ming Jin 002; Jin-Hee Cho; Dawei Zhou 001; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. - Kai Jiang; Chen Zhao 010; Haoliang Wang; Feng Chen 001 (CoRR, 2024)

MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning. - Haoliang Wang; Chen Zhao 010; Feng Chen 001 (CoRR, 2024)

Fair In-Context Learning via Latent Concept Variables. - Karuna Bhaila; Minh-Hao Van; Kennedy Edemacu; Chen Zhao 010; Feng Chen 001; Xintao Wu (CoRR, 2024)

Camera-view supervision for bird's-eye-view semantic segmentation. - Bowen Yang; Linlin Yu; Feng Chen 001 (Frontiers Big Data, 2024)

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. - Aneesh Komanduri; Xintao Wu; Yongkai Wu; Feng Chen 001 (Trans. Mach. Learn. Res., 2024)

A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. - Zhen Guo; Zelin Wan; Qisheng Zhang; Xujiang Zhao; Qi Zhang; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (Inf. Fusion, 2024)

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu Aggarwal 001; Chang-Tien Lu (ACM Comput. Surv., 2024)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. - Chen Zhao 010; Feng Mi; Xintao Wu; Kai Jiang; Latifur Khan; Feng Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation. - Sadaf Md. Halim; Chen Zhao 010; Xintao Wu; Latifur Khan; Christan Grant; Fariha Ishrat Rahman; Feng Chen 001 (ACL (Findings), 2025)

Evidential Uncertainty Probes for Graph Neural Networks. - Linlin Yu; Kangshuo Li; Pritom Kumar Saha; Yifei Lou; Feng Chen 001 (AISTATS, 2025)

Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection. - Ali Riahi Samani; Tianhao Wang; Kangshuo Li; Feng Chen 001 (COLING, 2025)

Fairness-Aware Active Online Learning with Changing Environments. - Sadaf Md. Halim; Chen Zhao 010; Xintao Wu; Latifur Khan; Christan Earl Grant; Feng Chen 001 (ICDE, 2025)

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function. - Linlin Yu; Bowen Yang; Tianhao Wang; Kangshuo Li; Feng Chen 001 (ICLR, 2025)

Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization. - Qi Zhang; Dian Chen; Lance M. Kaplan; Audun Jøsang; Dong Hyun Jeong; Feng Chen 001; Jin-Hee Cho (CoRR, 2025)