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ORCIDFeng 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
![[0000-0002-7837-3232]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7837-3232")
— 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 — Jiangxi Academy of Water Science and Engineering, Jiangxi Provincial Key Laboratory of Soil Erosion and Prevention, Nanchang, China (and 2 more)
- 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
- Feng Chen 0040 — EEasy Technology Company Ltd., Zhuhai, China (and 1 more)
- Feng Chen 0041 — Fuzhou University, Department of Electronic Information, China
- Feng Chen 0042 — Nanjing University, National Key Laboratory for Novel Software Technology, China
- Feng Chen 0043 — Frey Computing Services Center, Louisiana State University, Baton Rouge, LA, USA
- Feng Chen 0044 — Lenovo
- Feng Chen 0045 — Wuhan Research Institute of Post and Telecommunications, China
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2020 – today
- 2024
[j41]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56(5): 126:1-126:42 (2024)- [j40]Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho:
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion 101: 101987 (2024) - [j39]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. ACM Trans. Knowl. Discov. Data 18(6): 153:1-153:23 (2024) - [j38]Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen:
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. Trans. Mach. Learn. Res. 2024 (2024) - [c104]Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu:
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. ECAI 2024: 2516-2523 - [c103]Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu:
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024: 16514-16575 - [c102]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. ICLR 2024 - [c101]Linlin Yu, Yifei Lou, Feng Chen:
Uncertainty-aware Graph-based Hyperspectral Image Classification. ICLR 2024 - [c100]Yu Nong, Richard Fang, Guangbei Yi, Kunsong Zhao, Xiapu Luo, Feng Chen, Haipeng Cai:
VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses. ICSE 2024: 149:1-149:13 - [c99]Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu:
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. IJCAI 2024: 4308-4316 - [c98]Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen:
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. KDD 2024: 4419-4430 - [c97]Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen:
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2024: 6751-6752 - [c96]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen:
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD 2024: 6755-6756 - [c95]Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen:
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. NAACL-HLT (Findings) 2024: 2823-2835 - [c94]Yu Nong, Haoran Yang, Feng Chen, Haipeng Cai:
VinJ: An Automated Tool for Large-Scale Software Vulnerability Data Generation. SIGSOFT FSE Companion 2024: 567-571 - [i54]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. CoRR abs/2402.12319 (2024) - [i53]Yu Nong, Mohammed Aldeen, Long Cheng, Hongxin Hu, Feng Chen, Haipeng Cai:
Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities. CoRR abs/2402.17230 (2024) - [i52]Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen:
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty. CoRR abs/2404.10980 (2024) - [i51]Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu:
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. CoRR abs/2404.17735 (2024) - [i50]Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho:
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization. CoRR abs/2404.18826 (2024) - [i49]Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen:
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. CoRR abs/2405.20986 (2024) - [i48]Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu:
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? CoRR abs/2406.17274 (2024) - [i47]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:
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. CoRR abs/2410.20199 (2024) - [i46]Kai Jiang, Chen Zhao, Haoliang Wang, Feng Chen:
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. CoRR abs/2411.01316 (2024) - [i45]Haoliang Wang, Chen Zhao, Feng Chen:
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning. CoRR abs/2411.02444 (2024) - [i44]Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu:
Fair In-Context Learning via Latent Concept Variables. CoRR abs/2411.02671 (2024) - 2023
- [j37]Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Lance M. Kaplan, Audun Jøsang, Soo-Yeon Ji:
Interactive Web-Based Visual Analysis on Network Traffic Data. Inf. 14(1): 16 (2023) - [c93]Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen:
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP 2023: 1-5 - [c92]Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai:
VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning. ICSE 2023: 2527-2539 - [c91]Zhen Guo, Qi Zhang, Qisheng Zhang, Lance M. Kaplan, Audun Jøsang, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
Detecting Intents of Fake News Using Uncertainty-Aware Deep Reinforcement Learning. ICWS 2023: 722-724 - [c90]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. KDD 2023: 3480-3491 - [c89]Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou:
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2023: 5903-5904 - [c88]Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen:
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD 2023: 5907-5908 - [c87]Russell Hart, Linlin Yu, Yifei Lou, Feng Chen:
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization. NeurIPS 2023 - [i43]Zhen Guo, Qi Zhang, Xinwei An, Qisheng Zhang, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information. CoRR abs/2302.10195 (2023) - [i42]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. CoRR abs/2306.01007 (2023) - [i41]Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu:
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. CoRR abs/2306.01213 (2023) - [i40]Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen:
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR abs/2309.10209 (2023) - [i39]Dong Hyun Jeong, Jin-Hee Cho, Feng Chen, Audun Jøsang, Soo-Yeon Ji:
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation. CoRR abs/2310.01580 (2023) - [i38]Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen:
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. CoRR abs/2310.11011 (2023) - [i37]Yu Nong, Richard Fang, Guangbei Yi, Kunsong Zhao, Xiapu Luo, Feng Chen, Haipeng Cai:
VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses. CoRR abs/2310.15436 (2023) - [i36]Russell Alan Hart, Linlin Yu, Yifei Lou, Feng Chen:
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization. CoRR abs/2311.05795 (2023) - [i35]Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen:
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. CoRR abs/2311.08726 (2023) - [i34]Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen:
Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. CoRR abs/2311.13816 (2023) - 2022
- [j36]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) - [c86]Chunpai Wang, Daniel B. Neill, Feng Chen:
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. AAAI 2022: 4201-4209 - [c85]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 - [c84]Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu:
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. IEEE Big Data 2022: 1014-1023 - [c83]Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu:
Defending Evasion Attacks via Adversarially Adaptive Training. IEEE Big Data 2022: 1515-1524 - [c82]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 - [c81]Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen:
How Out-of-Distribution Data Hurts Semi-Supervised Learning. ICDM 2022: 763-772 - [c80]Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer:
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML 2022: 12826-12842 - [c79]Debanjan Datta, Feng Chen, Naren Ramakrishnan:
Framing Algorithmic Recourse for Anomaly Detection. KDD 2022: 283-293 - [c78]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. KDD 2022: 2565-2575 - [c77]Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs:
1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). KDD 2022: 4914-4915 - [c76]Audun Jøsang, Jin-Hee Cho, Feng Chen:
Noninformative Prior Weights for Dirichlet PDFs*. MFI 2022: 1-6 - [c75]Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. PAKDD (2) 2022: 526-538 - [c74]Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai:
Generating realistic vulnerabilities via neural code editing: an empirical study. ESEC/SIGSOFT FSE 2022: 1097-1109 - [i33]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) - [i32]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) - [i31]Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. CoRR abs/2203.00192 (2022) - [i30]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) - [i29]Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang:
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR abs/2206.05675 (2022) - [i28]Chunpai Wang, Daniel B. Neill, Feng Chen:
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. CoRR abs/2206.12786 (2022) - [i27]Debanjan Datta, Feng Chen, Naren Ramakrishnan:
Framing Algorithmic Recourse for Anomaly Detection. CoRR abs/2206.14384 (2022) - [i26]Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu:
Block-Structured Optimization for Subgraph Detection in Interdependent Networks. CoRR abs/2210.02702 (2022) - [i25]Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR abs/2212.06343 (2022) - 2021
- [j35]Yu Nong, Haipeng Cai, Pengfei Ye, Li Li, Feng Chen:
Evaluating and comparing memory error vulnerability detectors. Inf. Softw. Technol. 137: 106614 (2021) - [j34]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) - [j33]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) - [j32]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) - [c73]Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI 2021: 7815-7822 - [c72]Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu:
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. AISTATS 2021: 2188-2196 - [c71]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 - [c70]Chen Zhao, Feng Chen, Bhavani Thuraisingham:
Fairness-Aware Online Meta-learning. KDD 2021: 2294-2304 - [c69]KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer:
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS 2021: 14488-14501 - [i24]KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer:
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR abs/2106.07760 (2021) - [i23]Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR abs/2107.10234 (2021) - [i22]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
- [j31]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) - [j30]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) - [j29]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) - [j28]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) - [c68]Chen Zhao, Feng Chen:
Unfairness Discovery and Prevention For Few-Shot Regression. ICKG 2020: 137-144 - [c67]Chen Zhao, Changbin Li, Jincheng Li, Feng Chen:
Fair Meta-Learning For Few-Shot Classification. ICKG 2020: 275-282 - [c66]Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM 2020: 821-830 - [c65]Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu:
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS 2020 - [c64]Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho:
Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS 2020 - [c63]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
- [j27]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) - [j26]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) - [j25]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) - [j24]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) - [c62]Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai:
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. AAAI 2019: 5433-5440 - [c61]Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData 2019: 6-15 - [c60]Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen:
Uncertainty-based Decision Making Using Deep Reinforcement Learning. FUSION 2019: 1-8 - [c59]Chen Zhao, Feng Chen:
Rank-Based Multi-task Learning for Fair Regression. ICDM 2019: 916-925 - [c58]Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu:
Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. ICDM 2019: 1138-1143 - [c57]Baojian Zhou, Feng Chen, Yiming Ying:
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. ICML 2019: 7563-7573 - [c56]Baojian Zhou, Feng Chen, Yiming Ying:
Dual Averaging Method for Online Graph-structured Sparsity. KDD 2019: 436-446 - [c55]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
- [j23]Feng Chen, Arnold P. Boedihardjo, Chang-Tien Lu:
Preface: special issue on geo-social media analytics. GeoInformatica 22(3): 503-506 (2018) - [j22]Jose Cadena, Feng Chen, Anil Vullikanti:
Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE 106(5): 829-845 (2018) - [j21]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) - [c54]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. IEEE BigData 2018: 1150-1155 - [c53]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 - [c52]Audun Jøsang, Jin-Hee Cho, Feng Chen:
Uncertainty Characteristics of Subjective Opinions. FUSION 2018: 1998-2005 - [c51]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 - [c50]Xujiang Zhao, Feng Chen, Jin-Hee Cho:
Deep Learning Based Scalable Inference of Uncertain Opinions. ICDM 2018: 807-816 - [c49]Minglai Shao, Jianxin Li, Feng Chen, Xunxun Chen:
An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks. INFOCOM 2018: 2258-2266 - [c48]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
- [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [c47]Feng Chen, Chunpai Wang, Jin-Hee Cho:
Collective subjective logic: Scalable uncertainty-based opinion inference. IEEE BigData 2017: 7-16 - [c46]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 - [c45]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:
Making a Difference: Analytics for Quality Knowledge-Building Conversations. CSCL 2017 - [c44]Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao:
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. ICDM 2017: 41-50 - [c43]Yan Hu, Rui Wang, Feng Chen:
Drug-Drug Interactions (DDIs) Detection from On-Line Health Forums: Bi-Submodular Optimization (BSMO). ICHI 2017: 163-170 - [c42]Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Bo Li:
Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs. IJCAI 2017: 3105-3111 - [c41]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 - [c40]Yizhen Chen, Ming Ying, Daren Liu, Adil Alim, Feng Chen, Mei-Hwa Chen:
Effective online software anomaly detection. ISSTA 2017: 136-146 - [c39]Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan:
Absenteeism Detection in Social Media. SDM 2017: 606-614 - [c38]Jose Cadena, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM 2017: 624-632 - [c37]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
- [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [c36]Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan:
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. AAAI 2016: 1352-1358 - [c35]Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Topical Analysis of Interactions Between News and Social Media. AAAI 2016: 2964-2971 - [c34]Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung:
Graph Topic Scan Statistic for Spatial Event Detection. CIKM 2016: 489-498 - [c33]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-resolution Spatial Event Forecasting in Social Media. ICDM 2016: 689-698 - [c32]Baojian Zhou, Feng Chen:
Graph-Structured Sparse Optimization for Connected Subgraph Detection. ICDM 2016: 709-718 - [c31]Feng Chen, Baojian Zhou:
A Generalized Matching Pursuit Approach for Graph-Structured Sparsity. IJCAI 2016: 1389-1395 - [c30]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
- [j9]Feng Chen, Daniel B. Neill:
Human Rights Event Detection from Heterogeneous Social Media Graphs. Big Data 3(1): 34-40 (2015) - [j8]Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen:
Fast adaptive kernel density estimator for data streams. Knowl. Inf. Syst. 42(2): 285-317 (2015) - [j7]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) - [c29]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Dynamic theme tracking in Twitter. IEEE BigData 2015: 561-570 - [c28]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 - [c27]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 - [c26]Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Spatiotemporal Event Forecasting in Social Media. SDM 2015: 963-971 - 2014
- [j6]Xutong Liu, Feng Chen, Chang-Tien Lu:
On detecting spatial categorical outliers. GeoInformatica 18(3): 501-536 (2014) - [j5]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) - [c25]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 - [c24]Po-Ta Chen, Feng Chen, Zhen Qian:
Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields. ICDM 2014: 80-89 - [c23]Feng Chen, Daniel B. Neill:
Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. KDD 2014: 1166-1175 - [c22]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 - [c21]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - [i1]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014) - 2013
- [b1]Feng Chen:
Efficient Algorithms for Mining Large Spatio-Temporal Data. Virginia Tech, Blacksburg, VA, USA, 2013 - [j4]Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers:
Analyzing Civil Unrest through Social Media. Computer 46(12): 80-84 (2013) - [c20]Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu:
A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. AAAI 2013: 633-639 - [c19]Yunzhong Liu, Feng Chen, Yi Chen:
Learning thread reply structure on patient forums. DARE@CIKM 2013: 1-4 - [c18]Ahmed Elbery, Mustafa ElNainay, Feng Chen, Chang-Tien Lu, Jeffrey Kendall:
A carpooling recommendation system based on social VANET and geo-social data. SIGSPATIAL/GIS 2013: 546-549 - [c17]Qiben Yan, Ming Li, Feng Chen, Tingting Jiang, Wenjing Lou, Y. Thomas Hou, Chang-Tien Lu:
Non-parametric passive traffic monitoring in cognitive radio networks. INFOCOM 2013: 1240-1248 - [c16]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
STED: semi-supervised targeted-interest event detectionin in twitter. KDD 2013: 1466-1469 - [c15]Arnold P. Boedihardjo, Feng Chen, Haili Dong, Chang-Tien Lu, Bingsheng Wang:
A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation. SDM 2013: 704-712 - 2012
- [j3]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang:
Mining bridging rules between conceptual clusters. Appl. Intell. 36(1): 108-118 (2012) - [c14]Yang Chen, Feng Chen, Jing Dai, T. Charles Clancy, Yao-Jan Wu:
Student-t Based Robust Spatio-temporal Prediction. ICDM 2012: 151-160 - [c13]Xutong Liu, Feng Chen, Chang-Tien Lu:
Robust Prediction and Outlier Detection for Spatial Datasets. ICDM 2012: 469-478 - [c12]Bingsheng Wang, Feng Chen, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu:
Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary. ICDM 2012: 1134-1139 - 2011
- [c11]Xutong Liu, Feng Chen, Chang-Tien Lu:
Spatial categorical outlier detection: pair correlation function based approach. GIS 2011: 465-468 - [c10]Jing Dai, Ming Li, Sambit Sahu, Milind R. Naphade, Feng Chen:
Multi-granular demand forecasting in SmarterWater. UbiComp 2011: 595-596 - [c9]Feng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu:
Activity analysis based on low sample rate smart meters. KDD 2011: 240-248 - 2010
- [c8]Xutong Liu, Chang-Tien Lu, Feng Chen:
Spatial outlier detection: random walk based approaches. GIS 2010: 370-379 - [c7]Jing Dai, Feng Chen, Sambit Sahu, Milind R. Naphade:
Regional behavior change detection via local spatial scan. GIS 2010: 490-493 - [c6]Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo:
GLS-SOD: a generalized local statistical approach for spatial outlier detection. KDD 2010: 1069-1078
2000 – 2009
- 2009
- [j2]Shichao Zhang, Feng Chen, Zhi Jin, Ruili Wang:
Mining class-bridge rules based on rough sets. Expert Syst. Appl. 36(3): 6453-6460 (2009) - 2008
- [j1]Dechang Chen, Chang-Tien Lu, Yufeng Kou, Feng Chen:
On Detecting Spatial Outliers. GeoInformatica 12(4): 455-475 (2008) - [c5]Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen:
A framework for estimating complex probability density structures in data streams. CIKM 2008: 619-628 - [c4]Chang-Tien Lu, Arnold P. Boedihardjo, Jing Dai, Feng Chen:
HOMES: highway operation monitoring and evaluation system. GIS 2008: 85 - [c3]Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo:
On Locally Linear Classification by Pairwise Coupling. ICDM 2008: 749-754 - [c2]Xutong Liu, Chang-Tien Lu, Feng Chen:
An entropy-based method for assessing the number of spatial outliers. IRI 2008: 244-249 - [r2]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query. Encyclopedia of GIS 2008: 776-782 - [r1]Feng Chen, Chang-Tien Lu:
Nearest Neighbor Query, Definition. Encyclopedia of GIS 2008: 782-783 - 2006
- [c1]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang:
Identifying bridging rules between conceptual clusters. KDD 2006: 815-820
Coauthor Index
[j41] [c103] [c95] [i48] [i47] [i35] [j36] [i23] [j29] [i20] [c55] [j23] [c51] [i7] [i6] [j20] [j18] [j17] [j16] [c39] [r4] [r3] [j15] [j14] [j13] [j12] [j11] [j10] [c35] [c33] [c30] [j8] [j7] [c29] [c28] [c27] [c26] [j6] [j5] [c25] [c21] [i1] [j4] [c20] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c9] [c8] [c6] [j1] [c5] [c4] [c3] [c2] [r2] [r1]
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