Feng Xia

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 375

Top Venues

CoRR

IEEE Access

WWW (Companion Volume)

IEEE Trans. Comput. Soc. Syst.

Publications

Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia
Anomalous citations detection in academic networks. Artif. Intell. Rev. 57 (4) (2024)
Ke Sun, Ciyuan Peng, Shuo Yu, Zhuoyang Han, Feng Xia
From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis. IEEE Intell. Syst. 39 (2) (2024)
Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. CoRR (2024)
Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, Feng Xia
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. CoRR (2024)
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor
Deep Outdated Fact Detection in Knowledge Graphs. CoRR (2024)
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR (2024)
Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor
Graph Transformers: A Survey. CoRR (2024)
Liangtian Wan, Huijin Han, Lu Sun, Zixun Zhang, Zhaolong Ning, Xiaoran Yan, Feng Xia
Flexible Graph Neural Diffusion with Latent Class Representation Learning. KDD (2024)
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia
Higher-order Structure Based Anomaly Detection on Attributed Networks. CoRR (2024)
Kai Lin, Honglong Chen, Zhe Li, Na Yan, Huansheng Xue, Feng Xia
Efficiently Identifying Unknown COTS RFID Tags for Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, Selena Firmin, Feng Xia
Deepfake video detection: challenges and opportunities. Artif. Intell. Rev. 57 (6) (2024)
Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia
Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach. IEEE Trans. Consumer Electron. 70 (1) (2024)
Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. CoRR (2024)
Jianhui Zhang, Yanhong Xu, Jiacheng Wang, Hanxiang Wang, Bei Zhao, Liming Liu, Feng Xia
Efficient Throughput Maximization in Dynamic Rechargeable Networks. IEEE Trans. Mob. Comput. 23 (3) (2024)
Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. Tiny Papers @ ICLR (2024)
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation. CoRR (2024)
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation. Eng. Appl. Artif. Intell. 136 (2024)
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty
PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Ciyuan Peng, Jiayuan He, Feng Xia
Learning on Multimodal Graphs: A Survey. CoRR (2024)
Feng Xia, Jiafu Wan
Digital Twins for Discrete Manufacturing Lines: A Review. Big Data Cogn. Comput. 8 (5) (2024)
Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang
Algorithmic Fairness: A Tolerance Perspective. CoRR (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. CoRR (2024)
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
Collaborative Team Recognition: A Core Plus Extension Structure. CoRR (2024)
Falih Gozi Febrinanto, Mujie Liu, Feng Xia
Balanced Graph Structure Information for Brain Disease Detection. CoRR (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
FairGT: A Fairness-aware Graph Transformer. CoRR (2024)
Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia
Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security. IEEE Trans. Consumer Electron. 70 (1) (2024)
Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. IEEE Internet Things J. 11 (6) (2024)
Bo Xu, Longjiao Li, Wei Luo, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia
Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. LREC/COLING (2024)
Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Si Shen, Guojiang Shen, Xiaoxue Yang, Feng Xia, Hao Du, Xiangjie Kong
Mean-field reinforcement learning for decentralized task offloading in vehicular edge computing. J. Syst. Archit. 146 (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. KDD (2024)
Xiaolong Liu, Honglong Chen, Yuping Liu, Wentao Wei, Huansheng Xue, Feng Xia
Multitask Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing. IEEE Internet Things J. 11 (9) (2024)
Xuejian Chi, Honglong Chen, Guoxin Li, Zhichen Ni, Nan Jiang, Feng Xia
EDSP-Edge: Efficient Dynamic Edge Service Entity Placement for Mobile Virtual Reality Systems. IEEE Trans. Wirel. Commun. 23 (4) (2024)
Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A survey on fairness-aware recommender systems. Inf. Fusion 100 (2023)
Liangtian Wan, Xiaona Li, Huijin Han, Xiaoran Yan, Lu Sun, Zhaolong Ning, Feng Xia
Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters. WWW (2023)
Teng Guo, Xiaomei Bai, Shihao Zhen, Shagufta Abid, Feng Xia
Lost at starting line: Predicting maladaptation of university freshmen based on educational big data. J. Assoc. Inf. Sci. Technol. 74 (1) (2023)
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal
Graph Lifelong Learning: A Survey. IEEE Comput. Intell. Mag. 18 (1) (2023)
Xiangjie Kong, Qiao Chen, Mingliang Hou, Hui Wang, Feng Xia
Mobility trajectory generation: a survey. Artif. Intell. Rev. 56 (Supplement 3) (2023)
Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock
Quantum Graph Learning: Frontiers and Outlook. CoRR (2023)
Dongyu Zhang, Ciyuan Peng, Xiaojun Chang, Feng Xia
The Effect of Facial Perception and Academic Performance on Social Centrality. IEEE Trans. Comput. Soc. Syst. 10 (3) (2023)
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne
Knowledge Graphs: Opportunities and Challenges. CoRR (2023)
Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Angelo Antonio Salatino, Yu Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel M. Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai
3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). WWW (Companion Volume) (2023)
Shuo Yu, Sihan He, Zhen Cai, Ivan Lee, Mehdi Naseriparsa, Feng Xia
Exploring Public Sentiment During COVID-19: A Cross Country Analysis. IEEE Trans. Comput. Soc. Syst. 10 (3) (2023)
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. CoRR (2023)
Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. 38 (2) (2023)
Falih Gozi Febrinanto, Mujie Liu, Feng Xia
Balanced Graph Structure Information for Brain Disease Detection. PKAW (2023)
Liangtian Wan, Zhenqiang Fu, Lu Sun, Xianpeng Wang, Gang Xu, Xiaoran Yan, Feng Xia
Self-Supervised Teaching and Learning of Representations on Graphs. WWW (2023)
Shuo Yu, Feng Xia, Shihao Li, Mingliang Hou, Quan Z. Sheng
Spatio-temporal Graph Learning for Epidemic Prediction. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection. CoRR (2023)
Zhi Liu, Hanlin Zhou, Feng Xia, Guojiang Shen, Vidya Saikrishna, Xiaohua He, Jiaxin Du, Xiangjie Kong
Subgraph Federated Learning with Global Graph Reconstruction. APWeb-WAIM (1) (2023)
Jing Ren, Feng Xia, Ivan Lee, Azadeh Noori Hoshyar, Charu C. Aggarwal
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Xiaomei Bai, Fuli Zhang, Jiaying Liu, Feng Xia
Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks. J. Informetrics 17 (2) (2023)
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) (2023)
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee
Explainable Knowledge Distillation for On-device Chest X-Ray Classification. CoRR (2023)
Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia
Web of Conferences: A Conference Knowledge Graph. WSDM (2023)
Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (4) (2023)
Gengxiang Chen, Sheng Liu, Xu Yang, Tao Wang, Linlin You, Feng Xia
FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning. TrustCom (2023)
Teng Guo, Feng Xia
Student Behavior Pattern Mining and Analysis: Towards Smart Campuses. WSDM (2023)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A Survey on Fairness-aware Recommender Systems. CoRR (2023)
Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia
MEGA: Explaining Graph Neural Networks with Network Motifs. IJCNN (2023)
Zhi Liu, Yang Chen, Feng Xia, Jixin Bian, Bing Zhu, Guojiang Shen, Xiangjie Kong
TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Xingfa Shen, Wentao Lv, Jianhui Qiu, Achhardeep Kaur, Fengjun Xiao, Feng Xia
Trust-Aware Detection of Malicious Users in Dating Social Networks. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne
Knowledge Graphs: Opportunities and Challenges. Artif. Intell. Rev. 56 (11) (2023)
Roopdeep Kaur, Gour C. Karmakar, Feng Xia, Muhammad Imran
Deep learning: survey of environmental and camera impacts on internet of things images. Artif. Intell. Rev. 56 (9) (2023)
Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu
Physics-Informed Graph Learning. ICDM (Workshops) (2022)
Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia
Graph Learning for Fake Review Detection. Frontiers Artif. Intell. 5 (2022)
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
Collaborative Team Recognition: A Core Plus Extension Structure. J. Informetrics 16 (4) (2022)
Teng Guo, Wenhong Zhao, Mubarak Alrashoud, Amr Tolba, Selena Firmin, Feng Xia
Multimodal Educational Data Fusion for Students' Mental Health Detection. IEEE Access 10 (2022)
Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126 (2022)
Shuo Yu, Feng Xia, Chen Zhang, Haoran Wei, Kathleen Keogh, Honglong Chen
Familiarity-Based Collaborative Team Recognition in Academic Social Networks. IEEE Trans. Comput. Soc. Syst. 9 (5) (2022)
Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia
Surf or sleep? Understanding the influence of bedtime patterns on campus. CoRR (2022)
Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong
How to optimize an academic team when the outlier member is leaving? CoRR (2022)
Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu
Collaborative Filtering With Network Representation Learning for Citation Recommendation. IEEE Trans. Big Data 8 (5) (2022)
Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia
MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. SIGIR (2022)
Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee
CHIEF: Clustering with Higher-order Motifs in Big Networks. CoRR (2022)
Honglong Chen, Zhe Li, Zhu Wang, Zhichen Ni, Junjian Li, Ge Xu, Abdul Aziz, Feng Xia
Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation. CoRR (2022)
Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour Karmakar, Jianxin Li
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. CoRR (2022)
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
Deep Graph Learning for Anomalous Citation Detection. CoRR (2022)
Honglong Chen, Joel J. P. C. Rodrigues, Feng Xia, Sajal K. Das
Guest Editorial: Special Section on Distributed Intelligence Over Internet of Things. IEEE Trans. Ind. Informatics 18 (9) (2022)
Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, Feng Xia
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation. CoRR (2022)
Feng Xia, Zhaoyang Zhang, Jie Yang, Mohamad Sawan
Compact Power Front-end Management for Wireless Supply of Multi-voltages to Neuromodulators. APCCAS (2022)
Jing Ren, Yajie Shi, Adrian Shatte, Xiangjie Kong, Feng Xia
The significance and impact of winning an academic award: a study of early career academics. JCDL (2022)
Feng Xia, Shuo Yu, Chengfei Liu, Jianxin Li, Ivan Lee
CHIEF: Clustering With Higher-Order Motifs in Big Networks. IEEE Trans. Netw. Sci. Eng. 9 (3) (2022)
Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Feng Xia
Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing. WWW (Companion Volume) (2022)
Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee
Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions. CoRR (2022)
Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. CoRR (2022)
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
Web of Scholars: A Scholar Knowledge Graph. CoRR (2022)
Shuo Yu, Feng Xia, Chen Zhang, Kathleen Keogh, Honglong Chen
Familiarity-based Collaborative Team Recognition in Academic Social Networks. CoRR (2022)
Xiangjie Kong, Yuhan Wu, Hui Wang, Feng Xia
Edge Computing for Internet of Everything: A Survey. IEEE Internet Things J. 9 (23) (2022)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
Graph Augmentation Learning. WWW (Companion Volume) (2022)
Mohamed Jaward Bah, Ji Zhang, Ting Yu, Feng Xia, Zhao Li, Shuigeng Zhou, Hongzhi Wang
A Generative Adversarial Active Learning Method for Effective Outlier Detection. ICTAI (2022)
Jing Ren, Feng Xia, Azadeh Noori Hoshyar, Charu C. Aggarwal
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. CoRR (2022)
Honglong Chen, Zhe Li, Zhu Wang, Zhichen Ni, Junjian Li, Ge Xu, Abdul Aziz, Feng Xia
Edge data based trailer inception probabilistic matrix factorization for context-aware movie recommendation. World Wide Web 25 (5) (2022)
Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia
Data-Driven Decision Making in COVID-19 Response: A Survey. CoRR (2022)
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
Deep Graph Learning for Anomalous Citation Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Feng Xia