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ORCIDFeng Xia 0001
Person information
- affiliation: Federation University Australia, School of Science, Engineering and Information Technology, Ballarat, Australia
- affiliation: Dalian University of Technology, School of Software, China
- affiliation (PhD): Zhejiang University, Hangzhou, China
Other persons with the same name
- Feng Xia — disambiguation page
- Feng Xia 0002 — Hainan Normal University, College of Information Science and Technology, Haikou, China
- Feng Xia 0003 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Feng Xia 0004 — South China Agricultural University, Department of Information, Guangzhou, China
- Feng Xia 0005 — Shenyang University of Technology, School of Information Science and Engineering, China
- Feng Xia 0006
![[0000-0001-5279-9908]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5279-9908")
— Tencent, WeChat Search Application Department, Beijing, China - Feng Xia 0007 — Xiamen University, Department of Computer Science and Technology, China
- Feng Xia 0008 — China Meteorological Administration, Guangzhou, China
- Feng Xia 0009 — Wuhan Asia General Hospital, Department of Cardiovascular Surgery, China
- Feng Xia 0010 — Army Medical University, Southwest Hospital, Chongqing, China
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2020 – today
- 2024
[j271]Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia:
Anomalous citations detection in academic networks. Artif. Intell. Rev. 57(4): 103 (2024)- [j270]Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, Selena Firmin, Feng Xia:
Deepfake video detection: challenges and opportunities. Artif. Intell. Rev. 57(6): 159 (2024) - [j269]Feng Xia, Jiafu Wan:
Digital Twins for Discrete Manufacturing Lines: A Review. Big Data Cogn. Comput. 8(5): 45 (2024) - [j268]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: 109030 (2024) - [j267]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): 21-29 (2024) - [j266]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): 10384-10397 (2024) - [j265]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): 16845-16858 (2024) - [j264]Guoxin Li, Honglong Chen, Liantao Wu, Xuejian Chi, Junmei Yao, Feng Xia, Jiguo Yu:
Efficient Deployment and Scheduling of Shared VNF Instances in Mobile Edge Computing Networks. IEEE Internet Things J. 11(19): 32259-32271 (2024) - [j263]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: 103048 (2024) - [j262]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): 1315-1326 (2024) - [j261]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): 3709-3721 (2024) - [j260]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): 4062-4072 (2024) - [j259]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): 717-730 (2024) - [j258]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): 240-253 (2024) - [j257]Mingliang Hou, Tao Tang, Feng Xia, Ibrahim A. Sultan, Roopdeep Kaur, Xiangjie Kong:
MissII: Missing Information Imputation for Traffic Data. IEEE Trans. Emerg. Top. Comput. 12(3): 752-765 (2024) - [j256]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): 987-997 (2024) - [j255]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): 2254-2268 (2024) - [j254]Huansheng Xue, Honglong Chen, Zhichen Ni, Xiaolong Liu, Feng Xia:
Towards Maximizing Coverage of Targets for WRSNs by Multiple Chargers Scheduling. IEEE Trans. Mob. Comput. 23(10): 9959-9970 (2024) - [j253]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): 4502-4515 (2024) - [j252]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [j251]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): 2771-2783 (2024) - [c136]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: 2318-2328 - [c135]Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia:
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. Tiny Papers @ ICLR 2024 - [c134]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: 2072-2081 - [c133]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: 2936-2947 - [i137]Falih Gozi Febrinanto, Mujie Liu, Feng Xia:
Balanced Graph Structure Information for Brain Disease Detection. CoRR abs/2401.00876 (2024) - [i136]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. CoRR abs/2402.03732 (2024) - [i135]Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, Feng Xia:
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. CoRR abs/2402.03750 (2024) - [i134]Ciyuan Peng, Jiayuan He, Feng Xia:
Learning on Multimodal Graphs: A Survey. CoRR abs/2402.05322 (2024) - [i133]Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia:
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. CoRR abs/2402.06107 (2024) - [i132]Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang:
Seeing Text in the Dark: Algorithm and Benchmark. CoRR abs/2404.08965 (2024) - [i131]Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. CoRR abs/2404.17169 (2024) - [i130]Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang:
Algorithmic Fairness: A Tolerance Perspective. CoRR abs/2405.09543 (2024) - [i129]Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia:
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. CoRR abs/2405.17034 (2024) - [i128]Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia:
Higher-order Structure Based Anomaly Detection on Attributed Networks. CoRR abs/2406.04690 (2024) - [i127]Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia:
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. CoRR abs/2406.04702 (2024) - [i126]Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia:
Collaborative Team Recognition: A Core Plus Extension Structure. CoRR abs/2406.06617 (2024) - [i125]Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty:
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR abs/2406.06618 (2024) - [i124]Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor:
Graph Transformers: A Survey. CoRR abs/2407.09777 (2024) - [i123]Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee:
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation. CoRR abs/2407.20062 (2024) - [i122]Wenchao Weng, Mei Wu, Hanyu Jiang, Wanzeng Kong, Xiangjie Kong, Feng Xia:
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction. CoRR abs/2408.07100 (2024) - 2023
- [j250]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): 9605-9638 (2023) - [j249]Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne:
Knowledge Graphs: Opportunities and Challenges. Artif. Intell. Rev. 56(11): 13071-13102 (2023) - [j248]Xiangjie Kong, Qiao Chen, Mingliang Hou, Hui Wang, Feng Xia:
Mobility trajectory generation: a survey. Artif. Intell. Rev. 56(Supplement 3): 3057-3098 (2023) - [j247]Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. IEEE Comput. Intell. Mag. 18(1): 32-51 (2023) - [j246]Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu:
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. 38(2): 32-35 (2023) - [j245]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A survey on fairness-aware recommender systems. Inf. Fusion 100: 101906 (2023) - [j244]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): 17-32 (2023) - [j243]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): 101397 (2023) - [j242]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): 2376-2386 (2023) - [j241]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): 970-981 (2023) - [j240]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): 1083-1094 (2023) - [j239]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): 2587-2598 (2023) - [j238]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): 28:1-28:29 (2023) - [j237]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): 36:1-36:25 (2023) - [j236]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): 55:1-55:24 (2023) - [j235]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): 56:1-56:25 (2023) - [j234]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): 4555-4569 (2023) - [j233]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): 5879-5900 (2023) - [c132]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: 158-173 - [c131]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) 2023: 1443-1452 - [c130]Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia:
MEGA: Explaining Graph Neural Networks with Network Motifs. IJCNN 2023: 1-9 - [c129]Falih Gozi Febrinanto, Mujie Liu, Feng Xia:
Balanced Graph Structure Information for Brain Disease Detection. PKAW 2023: 134-143 - [c128]Gengxiang Chen, Sheng Liu, Xu Yang, Tao Wang, Linlin You, Feng Xia:
FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning. TrustCom 2023: 189-196 - [c127]Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia:
Web of Conferences: A Conference Knowledge Graph. WSDM 2023: 1172-1175 - [c126]Teng Guo, Feng Xia:
Student Behavior Pattern Mining and Analysis: Towards Smart Campuses. WSDM 2023: 1305-1306 - [c125]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: 177-187 - [c124]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: 489-498 - [c123]Angelo Antonio Salatino, Yi 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: 783 - [i121]Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. CoRR abs/2302.00892 (2023) - [i120]Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne:
Knowledge Graphs: Opportunities and Challenges. CoRR abs/2303.13948 (2023) - [i119]Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee:
Explainable Knowledge Distillation for On-device Chest X-Ray Classification. CoRR abs/2305.06244 (2023) - [i118]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A Survey on Fairness-aware Recommender Systems. CoRR abs/2306.00403 (2023) - [i117]Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You:
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. CoRR abs/2306.07114 (2023) - [i116]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 abs/2312.09478 (2023) - 2022
- [j232]Teng Guo, Wenhong Zhao, Mubarak Alrashoud, Amr Tolba, Selena Firmin, Feng Xia:
Multimodal Educational Data Fusion for Students' Mental Health Detection. IEEE Access 10: 70370-70382 (2022) - [j231]Ke Sun, Wuyang Li, Vidya Saikrishna, Mehmood Chadhar, Feng Xia:
COVID-19 datasets: A brief overview. Comput. Sci. Inf. Syst. 19(3): 1115-1132 (2022) - [j230]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: 88-90 (2022) - [j229]Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia:
Graph Learning for Fake Review Detection. Frontiers Artif. Intell. 5 (2022) - [j228]Xiangjie Kong, Yuhan Wu, Hui Wang, Feng Xia:
Edge Computing for Internet of Everything: A Survey. IEEE Internet Things J. 9(23): 23472-23485 (2022) - [j227]Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia:
Collaborative Team Recognition: A Core Plus Extension Structure. J. Informetrics 16(4): 101346 (2022) - [j226]Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza, Fayez Hussain Alqahtani, Amr Tolba, Feng Xia:
Efficient anomaly recognition using surveillance videos. PeerJ Comput. Sci. 8: e1117 (2022) - [j225]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): 1233-1246 (2022) - [j224]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): 1432-1445 (2022) - [j223]Mingliang Hou, Feng Xia, Haoran Gao, Xin Chen, Honglong Chen:
Urban Region Profiling With Spatio-Temporal Graph Neural Networks. IEEE Trans. Comput. Soc. Syst. 9(6): 1736-1747 (2022) - [j222]Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, Feng Xia:
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 519-529 (2022) - [j221]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): 6233-6235 (2022) - [j220]Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour C. Karmakar, Jianxin Li:
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. IEEE Trans. Intell. Transp. Syst. 23(9): 16148-16160 (2022) - [j219]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): 2543-2557 (2022) - [j218]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): 990-1005 (2022) - [j217]Xiangjie Kong, Qiao Chen, Mingliang Hou, Azizur Rahim, Kai Ma, Feng Xia:
RMGen: A Tri-Layer Vehicular Trajectory Data Generation Model Exploring Urban Region Division and Mobility Pattern. IEEE Trans. Veh. Technol. 71(9): 9225-9238 (2022) - [j216]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): 1863-1882 (2022) - [c122]Feng Xia, Zhaoyang Zhang, Jie Yang, Mohamad Sawan:
Compact Power Front-end Management for Wireless Supply of Multi-voltages to Neuromodulators. APCCAS 2022: 65-68 - [c121]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning. ICDM (Workshops) 2022: 732-739 - [c120]Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia:
Abnormal Entity-Aware Knowledge Graph Completion. ICDM (Workshops) 2022: 891-900 - [c119]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: 131-139 - [c118]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: 31 - [c117]Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang:
International Workshop on Data-driven Science of Science. KDD 2022: 4856-4857 - [c116]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: 2887-2899 - [c115]Feng Xia, Renaud Lambiotte, Charu Aggarwal:
GraphLearning'22: 1st International Workshop on Graph Learning. WWW (Companion Volume) 2022: 1004-1005 - [c114]Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia:
Graph Augmentation Learning. WWW (Companion Volume) 2022: 1063-1072 - [c113]Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Feng Xia:
Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing. WWW (Companion Volume) 2022: 1198-1205 - [i115]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. CoRR abs/2202.07826 (2022) - [i114]Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. CoRR abs/2202.07832 (2022) - [i113]Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. CoRR abs/2202.08461 (2022) - [i112]Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia:
Surf or sleep? Understanding the influence of bedtime patterns on campus. CoRR abs/2202.09283 (2022) - [i111]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 abs/2202.10236 (2022) - [i110]Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, Feng Xia:
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation. CoRR abs/2202.10241 (2022) - [i109]Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour C. Karmakar, Jianxin Li:
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. CoRR abs/2202.10339 (2022) - [i108]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning: A Survey. CoRR abs/2202.10679 (2022) - [i107]Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. CoRR abs/2202.10688 (2022) - [i106]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. CoRR abs/2202.11311 (2022) - [i105]