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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 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.dagstuhl.de/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
- 2023
[j247]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)- [j246]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) - [j245]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) - [j244]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) - [j243]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) - [j242]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) - [j241]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) - [j240]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) - [j239]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) - [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) - [c128]Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia:
MEGA: Explaining Graph Neural Networks with Network Motifs. IJCNN 2023: 1-9 - [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, 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: 783 - [i120]Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. CoRR abs/2302.00892 (2023) - [i119]Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne:
Knowledge Graphs: Opportunities and Challenges. CoRR abs/2303.13948 (2023) - [i118]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) - [i117]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) - [i116]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) - 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]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. CoRR abs/2202.11360 (2022) - [i104]Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia:
Data-Driven Decision Making in COVID-19 Response: A Survey. CoRR abs/2202.11435 (2022) - [i103]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - [i102]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 abs/2203.07999 (2022) - [i101]Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia:
Graph Augmentation Learning. CoRR abs/2203.09020 (2022) - [i100]Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee:
CHIEF: Clustering with Higher-order Motifs in Big Networks. CoRR abs/2204.02656 (2022) - [i99]Shuo Yu, Feng Xia, Chen Zhang, Kathleen Keogh, Honglong Chen:
Familiarity-based Collaborative Team Recognition in Academic Social Networks. CoRR abs/2204.02667 (2022) - [i98]Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee:
Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions. CoRR abs/2204.02676 (2022) - [i97]Jing Ren, Feng Xia, Azadeh Noori Hoshyar, Charu C. Aggarwal:
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. CoRR abs/2212.05532 (2022) - 2021
- [j215]Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, Feng Xia:
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. Big Data Res. 25: 100236 (2021) - [j214]Xiaomei Bai, Fuli Zhang, Jinzhou Li, Teng Guo, Abdul Aziz, Aijing Jin, Feng Xia:
Educational Big Data: Predictions, Applications and Challenges. Big Data Res. 26: 100270 (2021) - [j213]Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Jason J. Jung, Feng Xia:
Metaphor research in the 21st century: A bibliographic analysis. Comput. Sci. Inf. Syst. 18(1): 303-321 (2021) - [j212]Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong:
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36(3): 23-30 (2021) - [j211]Teng Guo, Xiaomei Bai, Xue Tian, Selena Firmin, Feng Xia:
Educational Anomaly Analytics: Features, Methods, and Challenges. Frontiers Big Data 4: 811840 (2021) - [j210]Linlin Liu, Jianfei Yu, Junming Huang, Feng Xia, Tao Jia:
The dominance of big teams in China's scientific output. Quant. Sci. Stud. 2(1): 350-362 (2021) - [j209]Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia:
Surf or sleep?: Understanding the influence of bedtime patterns on campus. SIGKDD Explor. 23(2): 3-12 (2021) - [j208]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. IEEE Trans. Artif. Intell. 2(2): 109-127 (2021) - [j207]Wei Wang, Zhiguo Gong, Jing Ren, Feng Xia, Zhihan Lv, Wei Wei:
Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 4:1-4:15 (2021) - [j206]Liangtian Wan, Yuyuan Yuan, Feng Xia, Huan Liu:
To Your Surprise: Identifying Serendipitous Collaborators. IEEE Trans. Big Data 7(3): 574-589 (2021) - [j205]Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee:
Detecting Outlier Patterns With Query-Based Artificially Generated Searching Conditions. IEEE Trans. Comput. Soc. Syst. 8(1): 134-147 (2021) - [j204]Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia:
Data-Driven Decision-Making in COVID-19 Response: A Survey. IEEE Trans. Comput. Soc. Syst. 8(4): 1016-1029 (2021) - [j203]Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang:
SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. Trans. Data Sci. 2(4): 39:1-39:24 (2021) - [j202]Feng Xia, C. Lee Giles, Huan Liu, Kuansan Wang:
Guest Editorial: Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. 9(1): 200-203 (2021) - [j201]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 332-350 (2021) - [j200]Liangtian Wan, Yuchen Sun, Ivan Lee, Wenhong Zhao, Feng Xia:
Industrial Pollution Areas Detection and Location via Satellite-Based IIoT. IEEE Trans. Ind. Informatics 17(3): 1785-1794 (2021) - [j199]Xiangjie Kong, Kailai Wang, Mingliang Hou, Xinyu Hao, Guojiang Shen, Xin Chen, Feng Xia:
A Federated Learning-Based License Plate Recognition Scheme for 5G-Enabled Internet of Vehicles. IEEE Trans. Ind. Informatics 17(12): 8523-8530 (2021) - [j198]Wei Wang, Feng Xia, Hansong Nie, Zhikui Chen, Zhiguo Gong, Xiangjie Kong, Wei Wei:
Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 22(6): 3567-3576 (2021) - [j197]Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021) - [j196]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j195]Liangtian Wan, Feng Xia, Xiangjie Kong, Ching-Hsien Hsu, Runhe Huang, Jianhua Ma:
Deep Matrix Factorization for Trust-Aware Recommendation in Social Networks. IEEE Trans. Netw. Sci. Eng. 8(1): 511-528 (2021) - [j194]Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King:
Attributed Collaboration Network Embedding for Academic Relationship Mining. ACM Trans. Web 15(1): 4:1-4:20 (2021) - [c112]Qiao Chen, Kai Ma, Mingliang Hou, Xiangjie Kong, Feng Xia:
Decision Behavior Based Private Vehicle Trajectory Generation Towards Smart Cities. WISA 2021: 109-120 - [c111]Qing Qing, Teng Guo, Dongyu Zhang, Feng Xia:
ANSWER: Generating Information Dissemination Network on Campus. ADC 2021: 74-86 - [c110]Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. AIED (2) 2021: 256-261 - [c109]Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia:
Higher-order Structure Based Anomaly Detection on Attributed Networks. IEEE BigData 2021: 2691-2700 - [c108]Dongyu Zhang, Teng Guo, Shiyu Han, Sadaf Vahabli, Mehdi Naseriparsa, Feng Xia:
Predicting Mental Health Problems with Personality, Behavior, and Social Networks. IEEE BigData 2021: 4537-4546 - [c107]Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, Feng Xia:
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. HPCC/DSS/SmartCity/DependSys 2021: 1178-1187 - [c106]Fangming Zhong, Guangze Wang, Zhikui Chen, Xu Yuan, Feng Xia:
Multiple-Input Multiple-Output Fusion Network for Generalized Zero-Shot Learning. ICASSP 2021: 1725-1729 - [c105]Dongyu Zhang, Nan Shi, Ciyuan Peng, Abdul Aziz, Wenhong Zhao, Feng Xia:
MAM: A Metaphor-Based Approach for Mental Illness Detection. ICCS (3) 2021: 570-583 - [c104]Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia:
In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features. IJCNN 2021: 1-8 - [c103]Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia:
Cross Network Representation Matching with Outliers. ICDM (Workshops) 2021: 951-958 - [c102]Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee:
Deep Video Anomaly Detection: Opportunities and Challenges. ICDM (Workshops) 2021: 959-966 - [c101]Jianhui Zhang, Siqi Guan, Jiacheng Wang, Liming Liu, Hanxiang Wang, Feng Xia:
Time-expanded Method Improving Throughput in Dynamic Renewable Networks. IWQoS 2021: 1-10 - [c100]Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong, Feng Xia:
A3Graph: adversarial attributed autoencoder for graph representation learning. SAC 2021: 1697-1704 - [c99]Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. WI/IAT (Workshop/Special Session) 2021: 29-36 - [c98]Teng Guo, Tao Tang, Dongyu Zhang, Jianxin Li, Feng Xia:
Web of Students: Class-Level Friendship Network Discovery from Educational Big Data. WISE (1) 2021: 497-511 - [i96]