Feng Chen

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 146

Top Venues

Publications

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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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) (2024)
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) (2024)
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 (2024)
Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2024)
Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. CoRR (2024)
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)
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)
Linlin Yu, Yifei Lou, Feng Chen
Uncertainty-aware Graph-based Hyperspectral Image Classification. ICLR (2024)
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. CoRR (2024)
Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai
VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning. ICSE (2023)
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) (2023)
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 (2023)
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)
Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD (2023)
Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen
Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. CoRR (2023)
Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2023)
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
Towards Fair Disentangled Online Learning for Changing Environments. CoRR (2023)
Aneesh Komanduri, Xintao Wu, Yongkai Wu, Feng Chen
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling. CoRR (2023)
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)
Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR (2023)
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
Towards Fair Disentangled Online Learning for Changing Environments. KDD (2023)
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 (2023)
Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR (2022)
Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen
Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. PAKDD (2) (2022)
KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer
A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI (2022)
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. CoRR (2022)
Chunpai Wang, Daniel B. Neill, Feng Chen
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. CoRR (2022)
Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu
Defending Evasion Attacks via Adversarially Adaptive Training. Big Data (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP (2022)
Audun Jøsang, Jin-Hee Cho, Feng Chen
. MFI (2022)
Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. Big Data (2022)
Debanjan Datta, Feng Chen, Naren Ramakrishnan
Framing Algorithmic Recourse for Anomaly Detection. CoRR (2022)
Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong H. Jeong, Jin-Hee Cho
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. CoRR (2022)
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) (2022)
Chunpai Wang, Daniel B. Neill, Feng Chen
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. AAAI (2022)
Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen
How Out-of-Distribution Data Hurts Semi-Supervised Learning. ICDM (2022)
Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. KDD (2022)
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 (2022)
Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML (2022)
Debanjan Datta, Feng Chen, Naren Ramakrishnan
Framing Algorithmic Recourse for Anomaly Detection. KDD (2022)
Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai
Generating realistic vulnerabilities via neural code editing: an empirical study. ESEC/SIGSOFT FSE (2022)
KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. CoRR (2021)
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) (2021)
Adil Alim, Jin-Hee Cho, Feng Chen
CSL+: Scalable Collective Subjective Logic under Multidimensional Uncertainty. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Chen Zhao, Feng Chen, Bhavani M. Thuraisingham
Fairness-Aware Online Meta-learning. CoRR (2021)
Chen Zhao, Feng Chen, Bhavani M. Thuraisingham
Fairness-Aware Online Meta-learning. KDD (2021)
Yu Nong, Haipeng Cai, Pengfei Ye, Li Li, Feng Chen
Evaluating and comparing memory error vulnerability detectors. Inf. Softw. Technol. 137 (2021)
Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR (2021)
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI (2021)
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) (2021)
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)
KrishnaTeja Killamsetty, Xujiang Zhao, Feng Chen, Rishabh K. Iyer
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning. NeurIPS (2021)
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) (2020)
Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho
Uncertainty Aware Semi-Supervised Learning on Graph Data. CoRR (2020)
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
Multidimensional Uncertainty-Aware Evidential Neural Networks. CoRR (2020)
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) (2020)
Chen Zhao, Feng Chen
Rank-Based Multi-task Learning for Fair Regression. CoRR (2020)
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) (2020)
Chen Zhao, Feng Chen
Unfairness Discovery and Prevention For Few-Shot Regression. ICKG (2020)
Chen Zhao, Feng Chen
Unfairness Discovery and Prevention For Few-Shot Regression. CoRR (2020)
Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy
Detecting Media Self-Censorship without Explicit Training Data. SDM (2020)
KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen
A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR (2020)
Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS (2020)
Xujiang Zhao, Feng Chen, Shu Hu, Jin-Hee Cho
Uncertainty Aware Semi-Supervised Learning on Graph Data. NeurIPS (2020)
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 (2020)
Chen Zhao, Changbin Li, Jincheng Li, Feng Chen
Fair Meta-Learning For Few-Shot Classification. ICKG (2020)
Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan
A Primal-Dual Subgradient Approach for Fair Meta Learning. CoRR (2020)
Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan
A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM (2020)
Xujiang Zhao, KrishnaTeja Killamsetty, Rishabh K. Iyer, Feng Chen
Robust Semi-Supervised Learning with Out of Distribution Data. CoRR (2020)
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 (2020)
Chen Zhao, Changbin Li, Jincheng Li, Feng Chen
Fair Meta-Learning For Few-Shot Classification. CoRR (2020)
Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks. CoRR (2019)
Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. IEEE BigData (2019)
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) (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Dual Averaging Method for Online Graph-structured Sparsity. CoRR (2019)
Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
Spatio-temporal Event Forecasting and Precursor Identification. KDD (2019)
Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs. AAAI (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. CoRR (2019)
Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. ICDM (2019)
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) (2019)
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) (2019)
Xujiang Zhao, Shu Hu, Jin-Hee Cho, Feng Chen
Uncertainty-based Decision Making Using Deep Reinforcement Learning. FUSION (2019)
Chen Zhao, Feng Chen
Rank-Based Multi-task Learning for Fair Regression. ICDM (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Dual Averaging Method for Online Graph-structured Sparsity. KDD (2019)
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) (2019)
Baojian Zhou, Feng Chen, Yiming Ying
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization. ICML (2019)
Xujiang Zhao, Feng Chen, Jin-Hee Cho
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. CoRR (2019)
Xujiang Zhao, Feng Chen, Jin-Hee Cho
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data. IEEE BigData (2018)
Boyang Hu, Baojian Zhou, Qiben Yan, Adil Alim, Feng Chen, Huacheng Zeng
PSCluster: Differentially Private Spatial Cluster Detection for Mobile Crowdsourcing Applications. CNS (2018)
Xujiang Zhao, Feng Chen, Jin-Hee Cho
Uncertainty-Based Opinion Inference on Network Data Using Graph Convolutional Neural Networks. MILCOM (2018)
Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM (2018)
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. CoRR (2018)
Audun Jøsang, Jin-Hee Cho, Feng Chen
Uncertainty Characteristics of Subjective Opinions. FUSION (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Feng Chen