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Feng Chen 0001
Person information

- affiliation: University of Texas at Dallas, TX, USA
- affiliation (2014-2018): University at Albany - SUNY, NY, USA
- affiliation (PhD 2012): Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Other persons with the same name
- Feng Chen — disambiguation page
- Feng Chen 0002
— Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more)
- Feng Chen 0003 — University of Alberta, Canada
- Feng Chen 0004
— De Montfort University, Leicester, UK (and 1 more)
- Feng Chen 0005
— Louisiana State University, Baton Rouge, LA, USA (and 1 more)
- Feng Chen 0006 — University of Illinois at Urbana-Champaign, USA
- Feng Chen 0007
— Tsinghua University, Department of Automation, Center for Brain-Inspired Computing Research, Beijing, China
- Feng Chen 0008
— The University of New South Wales, Australia
- Feng Chen 0009 — Chinese Academy of Sciences, Beijing, China (and 1 more)
- Feng Chen 0010
— Politecnico di Torino, Turin, Italy
- Feng Chen 0011 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA
- Feng Chen 0012 — Siemens AG, Germany (and 1 more)
- Feng Chen 0013 — Xidian University, Xi'an, China
- Feng Chen 0014 — Henan University of Technology, Zhengzhou, China (and 1 more)
- Feng Chen 0015 — National University of Defense Technology, Changsha, China
- Feng Chen 0016 — University of California, San Diego, La Jolla, CA, USA
- Feng Chen 0017 — The Hong Kong University of Science and Technology, China
- Feng Chen 0018 — University of California, Los Angeles, CA, USA
- Feng Chen 0019
(aka: Chris F. Chen) — City University of New York, Baruch College, Department of Mathematics, NY, USA
- Feng Chen 0020
— Shanghai Jiao Tong University, Sino-US Logistics Institute, China (and 2 more)
- Feng Chen 0021
— Peking University, School and Hospital of Stomatology, Beijing, China
- Feng Chen 0022
— Xiamen University, School of Informatics, Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen, China
- Feng Chen 0023
— Southwest University, College of Artificial Intelligence, Chongqing, China (and 2 more)
- Feng Chen 0024 — Shibaura Institute of Technology, Tokyo, Japan
- Feng Chen 0025 — University of Science and Technology of China, Department of Automation, Hefei, China
- Feng Chen 0026
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Feng Chen 0027
— Air Force Engineering University, Department of Air Defense and Anti-Missile, Xi'an, China
- Feng Chen 0028
— Institute of Medical Support Technology, Tianjin, China
- Feng Chen 0029
— Beijing Jiaotong University, School of Civil Engineering, Beijing, China
- Feng Chen 0030
— Harbin Engineering University, College of Underwater Acoustic Engineering, Harbin, China (and 1 more)
- Feng Chen 0031
— Anhui University of Technology, School of Electrical Information and Engineering, Ma'anshan, China
- Feng Chen 0032
— Nanjing Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Nanjing, China
- Feng Chen 0033
— Xi'an Jiaotong University, School of Electrical Engineering, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an, China
- Feng Chen 0034 — Brown University, Division of Applied Mathematics, Providence, RI, USA (and 1 more)
- Feng Chen 0035 — University of Oklahoma, School of Electrical and Computer Engineering, Tulsa, OK, USA
- Feng Chen 0036 — China University of Mining and Technology, State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing, China
- Feng Chen 0037 — University of Tennessee, Department of Plant Sciences, Knoxville, TN, USA
- Feng Chen 0038 — Zhejiang University, College of Medicine, The First Affiliated Hospital, Department of Radiology, Hangzhou, China (and 1 more)
- Feng Chen 0039 — IBM Research China, Beijing, China
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2020 – today
- 2022
- [j34]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) - [c77]Chunpai Wang, Daniel B. Neill, Feng Chen:
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. AAAI 2022: 4201-4209 - [c76]KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer:
A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI 2022: 7176-7184 - [c75]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP 2022: 3618-3622 - [c74]Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer:
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML 2022: 12826-12842 - [c73]Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. PAKDD (2) 2022: 526-538 - [i30]Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer:
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR abs/2201.12928 (2022) - [i29]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR abs/2202.02441 (2022) - [i28]Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. CoRR abs/2203.00192 (2022) - [i27]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. CoRR abs/2205.11264 (2022) - [i26]Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong H. Jeong, Audun Jøsang:
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR abs/2206.05675 (2022) - [i25]Chunpai Wang, Daniel B. Neill, Feng Chen:
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. CoRR abs/2206.12786 (2022) - [i24]Debanjan Datta, Feng Chen, Naren Ramakrishnan:
Framing Algorithmic Recourse for Anomaly Detection. CoRR abs/2206.14384 (2022) - 2021
- [j33]Yu Nong, Haipeng Cai
, Pengfei Ye, Li Li
, Feng Chen
:
Evaluating and comparing memory error vulnerability detectors. Inf. Softw. Technol. 137: 106614 (2021) - [j32]Shuai Zhang
, Haoyi Zhou, Feng Chen
, Jianxin Li
:
A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. IEEE Trans. Comput. Soc. Syst. 8(1): 161-170 (2021) - [j31]Minglai Shao
, Jianxin Li
, Qiben Yan
, Feng Chen
, Hongyi Huang
, Xunxun Chen
:
Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release. IEEE Trans. Dependable Secur. Comput. 18(6): 2983-2995 (2021) - [j30]Adil Alim
, Jin-Hee Cho, Feng Chen:
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. ACM Trans. Intell. Syst. Technol. 12(1): 7:1-7:26 (2021) - [c72]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI 2021: 7815-7822 - [c71]Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu:
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. AISTATS 2021: 2188-2196 - [c70]Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. EMNLP (1) 2021: 6716-6723 - [c69]Chen Zhao, Feng Chen, Bhavani Thuraisingham:
Fairness-Aware Online Meta-learning. KDD 2021: 2294-2304 - [c68]KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer:
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS 2021: 14488-14501 - [i23]KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer:
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR abs/2106.07760 (2021) - [i22]Chen Zhao, Feng Chen, Bhavani Thuraisingham:
Fairness-Aware Online Meta-learning. CoRR abs/2108.09435 (2021) - [i21]Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR abs/2109.00194 (2021) - 2020
- [j29]Fei Jie
, Chunpai Wang
, Feng Chen
, Lei Li
, Xindong Wu
:
A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization. IEEE Access 8: 157800-157818 (2020) - [j28]Adil Alim
, Aparna Joshi, Feng Chen, Catherine T. Lawson:
Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network. GeoInformatica 24(2): 269-299 (2020) - [j27]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) - [j26]Liang Zhao
, Feng Chen, Yanfang Ye:
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. IEEE Trans. Knowl. Data Eng. 32(10): 1923-1935 (2020) - [c67]Chen Zhao, Feng Chen:
Unfairness Discovery and Prevention For Few-Shot Regression. ICKG 2020: 137-144 - [c66]Chen Zhao, Changbin Li, Jincheng Li, Feng Chen:
Fair Meta-Learning For Few-Shot Classification. ICKG 2020: 275-282 - [c65]Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM 2020: 821-830 - [c64]Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu:
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS 2020 - [c63]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS 2020 - [c62]Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy:
Detecting Media Self-Censorship without Explicit Training Data. SDM 2020: 550-558 - [i20]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) - [i19]Chen Zhao, Feng Chen:
Rank-Based Multi-task Learning for Fair Regression. CoRR abs/2009.11405 (2020) - [i18]Chen Zhao, Feng Chen:
Unfairness Discovery and Prevention For Few-Shot Regression. CoRR abs/2009.11406 (2020) - [i17]Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. CoRR abs/2009.12675 (2020) - [i16]Chen Zhao, Changbin Li, Jincheng Li, Feng Chen:
Fair Meta-Learning For Few-Shot Classification. CoRR abs/2009.13516 (2020) - [i15]Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen:
Robust Semi-Supervised Learning with Out of Distribution Data. CoRR abs/2010.03658 (2020) - [i14]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. CoRR abs/2010.12783 (2020) - [i13]KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen:
A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR abs/2011.06782 (2020) - [i12]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. CoRR abs/2012.13676 (2020)
2010 – 2019
- 2019
- [j25]Yan Hu
, Rui Wang, Feng Chen:
Bi-submodular Optimization (BSMO) for Detecting Drug-Drug Interactions (DDIs) from On-line Health Forums. J. Heal. Informatics Res. 3(1): 19-42 (2019) - [j24]Song Gao, Shawn D. Newsam
, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
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 11(3): 23-24 (2019) - [j23]Jose Cadena
, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. ACM Trans. Knowl. Discov. Data 13(2): 20:1-20:33 (2019) - [j22]Nannan Wu
, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li
, Naren Ramakrishnan
:
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. IEEE Trans. Knowl. Data Eng. 31(10): 1849-1862 (2019) - [c61]Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai:
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. AAAI 2019: 5433-5440 - [c60]Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData 2019: 6-15 - [c59]Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen:
Uncertainty-based Decision Making Using Deep Reinforcement Learning. FUSION 2019: 1-8 - [c58]Chen Zhao, Feng Chen:
Rank-Based Multi-task Learning for Fair Regression. ICDM 2019: 916-925 - [c57]Fei Jie, Chunpai Wang, Feng Chen, Lei Li
, Xindong Wu:
Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. ICDM 2019: 1138-1143 - [c56]Baojian Zhou, Feng Chen, Yiming Ying:
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. ICML 2019: 7563-7573 - [c55]Baojian Zhou, Feng Chen, Yiming Ying:
Dual Averaging Method for Online Graph-structured Sparsity. KDD 2019: 436-446 - [c54]Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala:
Spatio-temporal Event Forecasting and Precursor Identification. KDD 2019: 3237-3238 - [e1]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i11]Baojian Zhou, Feng Chen, Yiming Ying:
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. CoRR abs/1905.03652 (2019) - [i10]Baojian Zhou, Feng Chen, Yiming Ying:
Dual Averaging Method for Online Graph-structured Sparsity. CoRR abs/1905.10714 (2019) - [i9]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. CoRR abs/1910.05640 (2019) - [i8]Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho:
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR abs/1910.06864 (2019) - 2018
- [j21]Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu:
Preface: special issue on geo-social media analytics. GeoInformatica 22(3): 503-506 (2018) - [j20]Jose Cadena
, Feng Chen, Anil Vullikanti:
Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE 106(5): 829-845 (2018) - [j19]Lu Lin
, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai:
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data. IEEE Trans. Knowl. Data Eng. 30(7): 1310-1323 (2018) - [c53]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. IEEE BigData 2018: 1150-1155 - [c52]Boyang Hu, Baojian Zhou, Qiben Yan
, Adil Alim, Feng Chen, Huacheng Zeng:
PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications. CNS 2018: 1-9 - [c51]Audun Jøsang
, Jin-Hee Cho, Feng Chen:
Uncertainty Characteristics of Subjective Opinions. FUSION 2018: 1998-2005 - [c50]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 - [c49]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning Based Scalable Inference of Uncertain Opinions. ICDM 2018: 807-816 - [c48]Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen
:
An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM 2018: 2258-2266 - [c47]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Uncertainty-Based Opinion Inference on Network Data Using Graph Convolutional Neural Networks. MILCOM 2018: 731-736 - [i7]Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen:
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. CoRR abs/1808.08951 (2018) - [i6]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
- [j18]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) - [j17]Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju:
Parallel algorithms for anomalous subgraph detection. Concurr. Comput. Pract. Exp. 29(3) (2017) - [j16]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) - [j15]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) - [j14]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) - [c46]Feng Chen, Chunpai Wang, Jin-Hee Cho:
Collective subjective logic: Scalable uncertainty-based opinion inference. IEEE BigData 2017: 7-16 - [c45]Adil Alim, Aparna Joshi, Feng Chen, Catherine T. Lawson:
Techniques for efficient detection of rapid weather changes and analysis of their impacts on a highway network. IEEE BigData 2017: 3378-3387 - [c44]Frank de Jong, Joan Van den Ende, Hennie van Heijst, Yoshiaki Matsuzawa, Paul A. Kirschner, Jianwei Zhang, Mei-Hwa Chen, Feng Chen, Carolyn Penstein 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:
Making a Difference: Analytics for Quality Knowledge-Building Conversations. CSCL 2017 - [c43]Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao:
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. ICDM 2017: 41-50 - [c42]Yan Hu, Rui Wang, Feng Chen:
Drug-Drug Interactions (DDIs) Detection from On-Line Health Forums: Bi-Submodular Optimization (BSMO). ICHI 2017: 163-170 - [c41]Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li:
Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs. IJCAI 2017: 3105-3111 - [c40]Fang Jin, Wei Wang, Prithwish Chakraborty, Nathan Self, Feng Chen, Naren Ramakrishnan:
Tracking Multiple Social Media for Stock Market Event Prediction. ICDM 2017: 16-30 - [c39]Yizhen Chen, Ming Ying, Daren Liu, Adil Alim, Feng Chen, Mei-Hwa Chen:
Effective online software anomaly detection. ISSTA 2017: 136-146 - [c38]Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan:
Absenteeism Detection in Social Media. SDM 2017: 606-614 - [c37]Jose Cadena, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM 2017: 624-632 - [c36]Minglai Shao, Jianxin Li, Feng Chen, Hongyi Huang, Shuai Zhang, Xunxun Chen
:
An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks. WWW 2017: 1631-1639 - [r4]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query. Encyclopedia of GIS 2017: 1433-1440 - [r3]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query, Definition. Encyclopedia of GIS 2017: 1440-1441 - [i5]Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao:
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. CoRR abs/1709.05246 (2017) - 2016
- [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [c35]Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan:
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. AAAI 2016: 1352-1358 - [c34]Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Topical Analysis of Interactions Between News and Social Media. AAAI 2016: 2964-2971 - [c33]Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung:
Graph Topic Scan Statistic for Spatial Event Detection. CIKM 2016: 489-498 - [c32]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-resolution Spatial Event Forecasting in Social Media. ICDM 2016: 689-698 - [c31]Baojian Zhou, Feng Chen:
Graph-Structured Sparse Optimization for Connected Subgraph Detection. ICDM 2016: 709-718 - [c30]Feng Chen, Baojian Zhou:
A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. IJCAI 2016: 1389-1395 - [c29]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 - [i4]Baojian Zhou, Feng Chen:
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection. CoRR abs/1609.09864 (2016) - [i3]Rongrong Tao, Baojian Zhou, Adil Alim, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan:
Social Media as a Sensor for Censorship Detection in News Media. CoRR abs/1611.06947 (2016) - [i2]Feng Chen, Baojian Zhou:
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. CoRR abs/1612.03364 (2016) - 2015
- [j7]Feng Chen, Daniel B. Neill:
Human Rights Event Detection from Heterogeneous Social Media Graphs. Big Data 3(1): 34-40 (2015) - [j6]Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen:
Fast adaptive kernel density estimator for data streams. Knowl. Inf. Syst. 42(2): 285-317 (2015) - [j5]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) - [c28]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Dynamic theme tracking in Twitter. IEEE BigData 2015: 561-570 - [c27]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 - [c26]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 - [c25]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting in Social Media. SDM 2015: 963-971 - 2014
- [j4]Xutong Liu, Feng Chen, Chang-Tien Lu:
On detecting spatial categorical outliers. GeoInformatica 18(3): 501-536 (2014) - [j3]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) - [c24]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 - [c23]Po-Ta Chen, Feng Chen, Zhen Qian:
Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields. ICDM 2014: 80-89 - [c22]Feng Chen, Daniel B. Neill
:
Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. KDD 2014: 1166-1175 - [c21]Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan:
Modeling mass protest adoption in social network communities using geometric brownian motion. KDD 2014: 1660-1669 - [c20]