Feng Chen - RankMe

224 papers A* 64A 12B 6C 2Misc 4Journal 103Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization. IEEE Trans. Netw. Sci. Eng. Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2026	J	`jnl`	Distribution shift, generalization and OOD challenge in offline reinforcement learning: a comprehensive survey. Neural Comput. Appl. Ali Riahi Samani, Xujiang Zhao, Feng Chen
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
2026	J	`jnl`	X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection. CoRR Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025	—	`conf`	4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD (2) Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025	J	`jnl`	Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization. CoRR Qi Zhang, Dian Chen, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025	B	`conf`	Ethical AI for Healthcare Systems: Uncertainty-Aware, Fair Federated Learning. CHASE Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2025	A	`conf`	Evidential Uncertainty Probes for Graph Neural Networks. AISTATS Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
2025	J	`jnl`	Evidential Uncertainty Probes for Graph Neural Networks. CoRR Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
2025	B	`conf`	Fair In-Context Learning via Latent Concept Variables. IEEE Big Data Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu
2025	A*	`conf`	Fairness-Aware Active Online Learning with Changing Environments. ICDE Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Earl Grant, Feng Chen
2025	B	`conf`	Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection. COLING Ali Riahi Samani, Tianhao Wang, Kangshuo Li, Feng Chen
2025	—	`conf`	Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation. ACL (Findings) Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Grant, Fariha Ishrat Rahman, Feng Chen
2025	A*	`conf`	Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function. ICLR Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
2025	J	`jnl`	SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search. CoRR Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2025	—	`conf`	The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2) Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen
2025	A*	`conf`	fair-LDP: Uncertainty-Guided Fairness and Privacy for Federated Healthcare Learning. ICDM Dian Chen, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	A*	`conf`	3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
2024	A*	`conf`	3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen
2024	J	`jnl`	A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	A*	`conf`	Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. KDD Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen
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	J	`jnl`	Camera-view supervision for bird's-eye-view semantic segmentation. Frontiers Big Data Bowen Yang, Linlin Yu, Feng Chen
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	A	`conf`	Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. ECAI Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu
2024	J	`jnl`	Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. CoRR Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu
2024	J	`jnl`	Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities. CoRR Yu Nong, Mohammed Aldeen, Long Cheng, Hongxin Hu, Feng Chen, Haipeng Cai
2024	J	`jnl`	Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. CoRR Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2024	J	`jnl`	Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. ACM Trans. Knowl. Discov. Data Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2024	J	`jnl`	FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. CoRR Kai Jiang, Chen Zhao, Haoliang Wang, Feng Chen
2024	J	`jnl`	Fair In-Context Learning via Latent Concept Variables. CoRR Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu
2024	J	`jnl`	From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. Trans. Mach. Learn. Res. Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen
2024	A*	`conf`	Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024	J	`jnl`	Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen
2024	A*	`conf`	Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. IJCAI Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
2024	J	`jnl`	MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning. CoRR Haoliang Wang, Chen Zhao, Feng Chen
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	—	`conf`	Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. NAACL-HLT (Findings) Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2024	J	`jnl`	Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. CoRR Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
2024	B	`conf`	Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic. IEEE Big Data Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	A*	`conf`	Uncertainty-aware Graph-based Hyperspectral Image Classification. ICLR Linlin Yu, Yifei Lou, Feng Chen
2024	A*	`conf`	VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses. ICSE Yu Nong, Richard Fang, Guangbei Yi, Kunsong Zhao, Xiapu Luo, Feng Chen, Haipeng Cai
2024	—	`conf`	VinJ: An Automated Tool for Large-Scale Software Vulnerability Data Generation. SIGSOFT FSE Companion Yu Nong, Haoran Yang, Feng Chen, Haipeng Cai
2024	J	`jnl`	Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2023	A*	`conf`	2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou
2023	A*	`conf`	2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2023	J	`jnl`	Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. CoRR Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Audun Jøsang, Soo-Yeon Ji
2023	A	`conf`	Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2023	J	`jnl`	Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. CoRR Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen
2023	J	`jnl`	From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. CoRR Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen
2023	A*	`conf`	Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization. NeurIPS Russell Hart, Linlin Yu, Yifei Lou, Feng Chen
2023	J	`jnl`	Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization. CoRR Russell Alan Hart, Linlin Yu, Yifei Lou, Feng Chen
2023	J	`jnl`	Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji
2023	J	`jnl`	Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. CoRR Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
2023	Misc	`conf`	Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
2023	J	`jnl`	Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen
2023	A*	`conf`	Towards Fair Disentangled Online Learning for Changing Environments. KDD Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
2023	J	`jnl`	Towards Fair Disentangled Online Learning for Changing Environments. CoRR Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
2023	J	`jnl`	Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. CoRR Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2023	J	`jnl`	Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2023	J	`jnl`	VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses. CoRR Yu Nong, Richard Fang, Guangbei Yi, Kunsong Zhao, Xiapu Luo, Feng Chen, Haipeng Cai
2023	A*	`conf`	VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning. ICSE Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai
2022	A*	`conf`	1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). KDD Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs
2022	A*	`conf`	A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer
2022	J	`jnl`	A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang
2022	A*	`conf`	Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. KDD Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2022	J	`jnl`	Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. CoRR Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2022	J	`jnl`	Block-Structured Optimization for Subgraph Detection in Interdependent Networks. CoRR Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
2022	A*	`conf`	Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. AAAI Chunpai Wang, Daniel B. Neill, Feng Chen
2022	J	`jnl`	Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. CoRR Chunpai Wang, Daniel B. Neill, Feng Chen
2022	B	`conf`	Defending Evasion Attacks via Adversarially Adaptive Training. IEEE Big Data Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu
2022	A*	`conf`	Framing Algorithmic Recourse for Anomaly Detection. KDD Debanjan Datta, Feng Chen, Naren Ramakrishnan
2022	J	`jnl`	Framing Algorithmic Recourse for Anomaly Detection. CoRR Debanjan Datta, Feng Chen, Naren Ramakrishnan
2022	—	`conf`	Generating realistic vulnerabilities via neural code editing: an empirical study. ESEC/SIGSOFT FSE Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai
2022	A*	`conf`	How Out-of-Distribution Data Hurts Semi-Supervised Learning. ICDM Xujiang Zhao, Krishnateja Killamsetty, Rishabh K. Iyer, Feng Chen
2022	—	`conf`	Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. PAKDD (2) Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen
2022	J	`jnl`	Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. CoRR Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen
2022	—	`conf`	Noninformative Prior Weights for Dirichlet PDFs MFI Audun Jøsang, Jin-Hee Cho, Feng Chen
2022	A*	`conf`	PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
2022	J	`jnl`	PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
2022	J	`jnl`	PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho
2022	B	`conf`	SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. IEEE Big Data Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu
2022	J	`jnl`	SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022	Misc	`conf`	Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
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
2021	J	`jnl`	A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. IEEE Trans. Comput. Soc. Syst. Shuai Zhang, Haoyi Zhou, Feng Chen, Jianxin Li
2021	—	`conf`	Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. EMNLP (1) Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021	J	`jnl`	Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
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`	CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. ACM Trans. Intell. Syst. Technol. Adil Alim, Jin-Hee Cho, Feng Chen
2021	A	`conf`	Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. AISTATS Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu
2021	J	`jnl`	Evaluating and comparing memory error vulnerability detectors. Inf. Softw. Technol. Yu Nong, Haipeng Cai, Pengfei Ye, Li Li, Feng Chen
2021	A*	`conf`	Fairness-Aware Online Meta-learning. KDD Chen Zhao, Feng Chen, Bhavani Thuraisingham
2021	J	`jnl`	Fairness-Aware Online Meta-learning. CoRR Chen Zhao, Feng Chen, Bhavani Thuraisingham
2021	A*	`conf`	Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
2021	A*	`conf`	RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
2021	J	`jnl`	RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR Krishnateja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
2021	J	`jnl`	Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. IEEE Trans. Dependable Secur. Comput. Minglai Shao, Jianxin Li, Qiben Yan, Feng Chen, Hongyi Huang, Xunxun Chen
2020	J	`jnl`	A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization. IEEE Access Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
2020	A*	`conf`	A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan
2020	J	`jnl`	A Primal-Dual Subgradient Approach for Fair Meta Learning. CoRR Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan
2020	J	`jnl`	A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen
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`	Detecting Media Self-Censorship without Explicit Training Data. SDM Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy
2020	J	`jnl`	Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. IEEE Trans. Knowl. Data Eng. Liang Zhao, Feng Chen, Yanfang Ye
2020	—	`conf`	Fair Meta-Learning For Few-Shot Classification. ICKG Chen Zhao, Changbin Li, Jincheng Li, Feng Chen
2020	J	`jnl`	Fair Meta-Learning For Few-Shot Classification. CoRR Chen Zhao, Changbin Li, Jincheng Li, Feng Chen
2020	J	`jnl`	Multidimensional Uncertainty-Aware Evidential Neural Networks. CoRR Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
2020	A*	`conf`	Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu
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`	Rank-Based Multi-task Learning for Fair Regression. CoRR Chen Zhao, Feng Chen
2020	J	`jnl`	Robust Semi-Supervised Learning with Out of Distribution Data. CoRR Xujiang Zhao, Krishnateja Killamsetty, Rishabh K. Iyer, Feng Chen
2020	J	`jnl`	Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network. GeoInformatica Adil Alim, Aparna Joshi, Feng Chen, Catherine T. Lawson
2020	A*	`conf`	Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho
2020	J	`jnl`	Uncertainty Aware Semi-Supervised Learning on Graph Data. CoRR Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho
2020	—	`conf`	Unfairness Discovery and Prevention For Few-Shot Regression. ICKG Chen Zhao, Feng Chen
2020	J	`jnl`	Unfairness Discovery and Prevention For Few-Shot Regression. CoRR Chen Zhao, Feng Chen
2019	J	`jnl`	A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. IEEE Trans. Knowl. Data Eng. Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan
2019	J	`jnl`	Bi-submodular Optimization (BSMO) for Detecting Drug-Drug Interactions (DDIs) from On-line Health Forums. J. Heal. Informatics Res. Yan Hu, Rui Wang, Feng Chen
2019	A*	`conf`	Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. ICDM Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
2019	J	`jnl`	Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. CoRR Xujiang Zhao, Feng Chen, Jin-Hee Cho
2019	A*	`conf`	Dual Averaging Method for Online Graph-structured Sparsity. KDD Baojian Zhou, Feng Chen, Yiming Ying
2019	J	`jnl`	Dual Averaging Method for Online Graph-structured Sparsity. CoRR Baojian Zhou, Feng Chen, Yiming Ying
2019	J	`jnl`	GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019	J	`jnl`	Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. ACM Trans. Knowl. Discov. Data Jose Cadena, Feng Chen, Anil Vullikanti
2019	—	`ed.`	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. GeoAI@SIGSPATIAL Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019	J	`jnl`	Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho
2019	A*	`conf`	Rank-Based Multi-task Learning for Fair Regression. ICDM Chen Zhao, Feng Chen
2019	A*	`conf`	Spatio-temporal Event Forecasting and Precursor Identification. KDD Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
2019	A*	`conf`	Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. ICML Baojian Zhou, Feng Chen, Yiming Ying
2019	J	`jnl`	Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. CoRR Baojian Zhou, Feng Chen, Yiming Ying
2019	—	`conf`	Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen
2019	C	`conf`	Uncertainty-based Decision Making Using Deep Reinforcement Learning. FUSION Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen
2019	A*	`conf`	Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. AAAI Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
2018	A*	`conf`	An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen
2018	A*	`conf`	Deep Learning Based Scalable Inference of Uncertain Opinions. ICDM Xujiang Zhao, Feng Chen, Jin-Hee Cho
2018	—	`conf`	Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. IEEE BigData Xujiang Zhao, Feng Chen, Jin-Hee Cho
2018	J	`jnl`	Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE Jose Cadena, Feng Chen, Anil Vullikanti
2018	—	`conf`	PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications. CNS Boyang Hu, Baojian Zhou, Qiben Yan, Adil Alim, Feng Chen, Huacheng Zeng
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	J	`jnl`	Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. IEEE Trans. Knowl. Data Eng. Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai
2018	C	`conf`	Uncertainty Characteristics of Subjective Opinions. FUSION Audun Jøsang, Jin-Hee Cho, Feng Chen
2018	—	`conf`	Uncertainty-Based Opinion Inference on Network Data Using Graph Convolutional Neural Networks. MILCOM Xujiang Zhao, Feng Chen, Jin-Hee Cho
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`	A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. ICDM Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
2017	J	`jnl`	A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. CoRR Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
2017	A	`conf`	Absenteeism Detection in Social Media. SDM Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan
2017	A*	`conf`	An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. WWW Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen
2017	—	`conf`	Collective subjective logic: Scalable uncertainty-based opinion inference. IEEE BigData Feng Chen, Chunpai Wang, Jin-Hee Cho
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	—	`conf`	Drug-Drug Interactions (DDIs) Detection from On-Line Health Forums: Bi-Submodular Optimization (BSMO). ICHI Yan Hu, Rui Wang, Feng Chen
2017	A	`conf`	Effective online software anomaly detection. ISSTA Yizhen Chen, Ming Ying, Daren Liu, Adil Alim, Feng Chen, Mei-Hwa Chen
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	—	`conf`	Making a Difference: Analytics for Quality Knowledge-Building Conversations. CSCL Frank de Jong, Joan Van den Ende, Hennie van Heijst, Yoshiaki Matsuzawa, Paul A. Kirschner, Jianwei Zhang, Mei-Hwa Chen, Feng Chen, Carolyn P. Rosé, Erick Velazquez Godinez, Sylvie Ratté, Bodong Chen, Carol K. K. Chan, Jan van Aalst, Christine Yang, Jun Oshima, Cindy E. Hmelo-Silver, Alyssa Friend Wise
2017	A	`conf`	Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM Jose Cadena, Feng Chen, Anil Vullikanti
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	J	`jnl`	Parallel algorithms for anomalous subgraph detection. Concurr. Comput. Pract. Exp. Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju
2017	A*	`conf`	Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs. IJCAI Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li
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	—	`conf`	Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network. IEEE BigData Adil Alim, Aparna Joshi, Feng Chen, Catherine T. Lawson
2017	A*	`conf`	Tracking Multiple Social Media for Stock Market Event Prediction. ICDM Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan
2016	A*	`conf`	A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. IJCAI Feng Chen, Baojian Zhou
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`	Automatic targeted-domain spatiotemporal event detection in twitter. GeoInformatica Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
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`	Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. AAAI Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan
2016	A	`conf`	Graph Topic Scan Statistic for Spatial Event Detection. CIKM Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung
2016	A*	`conf`	Graph-Structured Sparse Optimization for Connected Subgraph Detection. ICDM Baojian Zhou, Feng Chen
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	J	`jnl`	Social Media as a Sensor for Censorship Detection in News Media. CoRR Rongrong Tao, Baojian Zhou, Adil Alim, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan
2016	J	`jnl`	Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. CoRR Feng Chen, Baojian Zhou
2016	J	`jnl`	Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection. CoRR Baojian Zhou, Feng Chen
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`	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	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`	Human Rights Event Detection from Heterogeneous Social Media Graphs. Big Data Feng Chen, Daniel B. Neill
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
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	—	`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	A*	`conf`	Modeling mass protest adoption in social network communities using geometric brownian motion. KDD Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan
2014	A*	`conf`	Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. KDD Feng Chen, Daniel B. Neill
2014	J	`jnl`	On detecting spatial categorical outliers. GeoInformatica Xutong Liu, Feng Chen, Chang-Tien Lu
2014	A*	`conf`	Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields. ICDM Po-Ta Chen, Feng Chen, Zhen Qian
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
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`	Analyzing Civil Unrest through Social Media. Computer Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers
2013	—	`—`	Efficient Algorithms for Mining Large Spatio-Temporal Data. Feng Chen
2013	—	`conf`	Learning thread reply structure on patient forums. DARE@CIKM Yunzhong Liu, Feng Chen, Yi Chen
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	J	`jnl`	Mining bridging rules between conceptual clusters. Appl. Intell. Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang
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
2012	A*	`conf`	Student-t Based Robust Spatio-temporal Prediction. ICDM Yang Chen, Feng Chen, Jing Dai, T. Charles Clancy, Yao-Jan Wu
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	Misc	`conf`	Multi-granular demand forecasting in SmarterWater. UbiComp Jing Dai, Ming Li, Sambit Sahu, Milind R. Naphade, Feng Chen
2011	—	`conf`	Spatial categorical outlier detection: pair correlation function based approach. GIS Xutong Liu, Feng Chen, 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`	Regional behavior change detection via local spatial scan. GIS Jing Dai, Feng Chen, Sambit Sahu, Milind R. Naphade
2010	—	`conf`	Spatial outlier detection: random walk based approaches. GIS Xutong Liu, Chang-Tien Lu, Feng Chen
2009	J	`jnl`	Mining class-bridge rules based on rough sets. Expert Syst. Appl. Shichao Zhang, Feng Chen, Zhi Jin, Ruili Wang
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	—	`conf`	HOMES: highway operation monitoring and evaluation system. GIS Chang-Tien Lu, Arnold P. Boedihardjo, Jing Dai, Feng Chen
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
2006	A*	`conf`	Identifying bridging rules between conceptual clusters. KDD Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang