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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 — Tencent, WeChat Search Application Department, Beijing, China
- Feng Xia 0007
![[0000-0002-4172-254X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4172-254X")
— Xiamen University, Department of Computer Science and Technology, China
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2020 – today
- 2022
[j220]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)- [j219]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) - [j218]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) - [j217]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) - [j216]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) - [c113]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: 31:1-31:11 - [i114]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) - [i113]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) - [i112]Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. CoRR abs/2202.08461 (2022) - [i111]Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia:
Surf or sleep? Understanding the influence of bedtime patterns on campus. CoRR abs/2202.09283 (2022) - [i110]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) - [i109]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) - [i108]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 abs/2202.10339 (2022) - [i107]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning: A Survey. CoRR abs/2202.10679 (2022) - [i106]Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, Charu Aggarwal:
Graph Lifelong Learning: A Survey. CoRR abs/2202.10688 (2022) - [i105]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. CoRR abs/2202.11311 (2022) - [i104]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. CoRR abs/2202.11360 (2022) - [i103]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) - [i102]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) - [i101]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) - [i100]Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia:
Graph Augmentation Learning. CoRR abs/2203.09020 (2022) - [i99]Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee:
CHIEF: Clustering with Higher-order Motifs in Big Networks. CoRR abs/2204.02656 (2022) - [i98]Shuo Yu, Feng Xia, Chen Zhang, Kathleen Keogh, Honglong Chen:
Familiarity-based Collaborative Team Recognition in Academic Social Networks. CoRR abs/2204.02667 (2022) - [i97]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) - 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]Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. CoRR abs/2103.00111 (2021) - [i95]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. CoRR abs/2103.03770 (2021) - [i94]Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia:
Network Representation Learning: From Traditional Feature Learning to Deep Learning. CoRR abs/2103.04339 (2021) - [i93]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. CoRR abs/2103.04344 (2021) - [i92]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. CoRR abs/2105.00696 (2021) - [i91]Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong:
Turing Number: How Far Are You to A. M. Turing Award? CoRR abs/2105.00706 (2021) - [i90]Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Jason J. Jung, Feng Xia:
Metaphor Research in the 21st Century: A Bibliographic Analysis. CoRR abs/2105.00714 (2021) - [i89]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. CoRR abs/2107.07122 (2021) - [i88]Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee:
Deep Video Anomaly Detection: Opportunities and Challenges. CoRR abs/2110.05086 (2021) - 2020
- [j193]Fangming Zhong, Guangze Wang, Zhikui Chen, Feng Xia, Geyong Min:
Cross-Modal Retrieval for CPSS Data. IEEE Access 8: 16689-16701 (2020) - [j192]Xiaomei Bai, Hanxiao Pan, Jie Hou, Teng Guo, Ivan Lee, Feng Xia:
Quantifying Success in Science: An Overview. IEEE Access 8: 123200-123214 (2020) - [j191]Fangming Zhong, Guangze Wang, Zhikui Chen, Feng Xia:
MESH: A Flexible Manifold-Embedded Semantic Hashing for Cross-Modal Retrieval. IEEE Access 8: 147569-147579 (2020) - [j190]Hayat Dino Bedru, Wenhong Zhao, Mubarak Alrashoud, Amr Tolba, He Guo, Feng Xia:
TOSNet: A Topic-Based Optimal Subnetwork Identification in Academic Networks. IEEE Access 8: 201015-201027 (2020) - [j189]Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia:
Network Representation Learning: From Traditional Feature Learning to Deep Learning. IEEE Access 8: 205600-205617 (2020) - [j188]Muhammad Imran, Joel J. P. C. Rodrigues, Ahmed E. Kamal, Ejaz Ahmed, Feng Xia, Irfan Awan:
IEEE Access Special Section Editorial: Survivability Strategies for Emerging Wireless Networks. IEEE Access 8: 225219-225225 (2020) - [j187]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-Driven Computational Social Science: A Survey. Big Data Res. 21: 100145 (2020) - [j186]Fangming Zhong, Zhikui Chen, Yuchun Zhang, Feng Xia:
Zero- and few-shot learning for diseases recognition of Citrus aurantium L. using conditional adversarial autoencoders. Comput. Electron. Agric. 179: 105828 (2020) - [j185]Noor Ullah, Xiangjie Kong, Limei Lin, Mubarak Alrashoud, Amr Tolba, Feng Xia:
Real-time dissemination of emergency warning messages in 5G enabled selfish vehicular social networks. Comput. Networks 182: 107482 (2020) - [j184]Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia:
Big networks: A survey. Comput. Sci. Rev. 37: 100247 (2020) - [j183]Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia:
Motif discovery in networks: A survey. Comput. Sci. Rev. 37: 100267 (2020) - [j182]Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia:
Network embedding: Taxonomies, frameworks and applications. Comput. Sci. Rev. 38: 100296 (2020) - [j181]Jianxin Li, Taotao Cai, Ke Deng, Xinjue Wang, Timos Sellis, Feng Xia:
Community-diversified influence maximization in social networks. Inf. Syst. 92: 101522 (2020) - [j180]Wei Wang, Jing Ren, Mubarak Alrashoud, Feng Xia, Mengyi Mao, Amr Tolba:
Early-stage reciprocity in sustainable scientific collaboration. J. Informetrics 14(3): 101041 (2020) - [j179]Fangming Zhong, Zhikui Chen, Geyong Min, Feng Xia:
A novel strategy to balance the results of cross-modal hashing. Pattern Recognit. 107: 107523 (2020) - [j178]Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong:
Turing number: how far are you to A. M. Turing award? SIGWEB Newsl. 2020(Autumn): 5:1-5:8 (2020) - [j177]Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia:
MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Trans. Comput. Soc. Syst. 7(2): 503-516 (2020) - [j176]Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong:
Random Walks: A Review of Algorithms and Applications. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 95-107 (2020) - [j175]Xiangjie Kong, Feng Xia, Jianxin Li, Mingliang Hou, Menglin Li, Yong Xiang:
A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data. IEEE Trans. Ind. Informatics 16(2): 1436-1444 (2020) - [j174]Feng Xia, Jinzhong Wang, Xiangjie Kong, Da Zhang, Zhibo Wang:
Ranking Station Importance With Human Mobility Patterns Using Subway Network Datasets. IEEE Trans. Intell. Transp. Syst. 21(7): 2840-2852 (2020) - [j173]Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. ACM Trans. Knowl. Discov. Data 14(4): 41:1-41:19 (2020) - [j172]Noor Ullah, Xiangjie Kong, Zhaolong Ning, Amr Tolba, Mubarak Alrashoud, Feng Xia:
Emergency warning messages dissemination in vehicular social networks: A trust based scheme. Veh. Commun. 22: 100199 (2020) - [j171]Peng Li, Zhikui Chen, Jing Gao, Jianing Zhang, Shan Jin, Wenhan Zhao, Feng Xia, Lu Wang:
A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering. Wirel. Commun. Mob. Comput. 2020: 8880430:1-8880430:9 (2020) - [j170]Xiangjie Kong, Feng Xia, Zhenhuan Fu, Xiaoran Yan, Amr Tolba, Zafer Al-Makhadmeh:
TBI2Flow: Travel behavioral inertia based long-term taxi passenger flow prediction. World Wide Web 23(2): 1381-1405 (2020) - [c97]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. AAAI 2020: 670-677 - [c96]Hanxiao Pan, Teng Guo, Hayat Dino Bedru, Qing Qing, Dongyu Zhang, Feng Xia:
DEFINE: Friendship Detection Based on Node Enhancement. ADC 2020: 81-92 - [c95]Hansong Nie, Xiangtai Chen, Xinbei Chu, Wei Wang, Zhenzhen Xu, Feng Xia:
Collaborator Recommendation Based on Dynamic Attribute Network Representation Learning. BESC 2020: 1-6 - [c94]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. IEEE BigData 2020: 2987-2994 - [c93]Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee:
OFFER: A Motif Dimensional Framework for Network Representation Learning. CIKM 2020: 3349-3352 - [c92]Jing Ren, Ivan Lee, Lei Wang, Xiangtai Chen, Feng Xia:
On the Correlation Between Research Complexity and Academic Competitiveness. ICADL 2020: 416-422 - [c91]Fangming Zhong, Zhikui Chen, Geyong Min, Feng Xia:
Semantic Augmentation Hashing for Zero-Shot Image Retrieval. ICASSP 2020: 1943-1947 - [c90]Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. JCDL 2020: 77-86 - [c89]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. SIGIR 2020: 2153-2156 - [i87]Linlin Liu, Jianfei Yu, Junming Huang, Feng Xia, Tao Jia:
China may need to support more small teams in scientific research. CoRR abs/2003.01108 (2020) - [i86]Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia:
MODEL: Motif-based Deep Feature Learning for Link Prediction. CoRR abs/2008.03637 (2020) - [i85]Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia:
Big Networks: A Survey. CoRR abs/2008.03638 (2020) - [i84]Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong:
Random Walks: A Review of Algorithms and Applications. CoRR abs/2008.03639 (2020) - [i83]Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Xiangjie Kong, Feng Xia:
Prediction Methods and Applications in the Science of Science: A Survey. CoRR abs/2008.03640 (2020) - [i82]Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. CoRR abs/2008.03654 (2020) - [i81]Xiaomei Bai, Ivan Lee, Zhaolong Ning, Amr Tolba, Feng Xia:
The Role of Positive and Negative Citations in Scientific Evaluation. CoRR abs/2008.03844 (2020) - [i80]Xiaomei Bai, Fuli Zhang, Jie Hou, Ivan Lee, Xiangjie Kong, Amr Tolba, Feng Xia:
Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations. CoRR abs/2008.03857 (2020) - [i79]Xiaomei Bai, Hui Liu, Fuli Zhang, Zhaolong Ning, Xiangjie Kong, Ivan Lee, Feng Xia:
An Overview on Evaluating and Predicting Scholarly Article Impact. CoRR abs/2008.03867 (2020) - [i78]Xiaomei Bai, Hanxiao Pan, Jie Hou, Teng Guo, Ivan Lee, Feng Xia:
Quantifying Success in Science: An Overview. CoRR abs/2008.04649 (2020) - [i77]Behrouz Jedari, Feng Xia, Zhaolong Ning:
A Survey on Human-centric Communications in Non-cooperative Wireless Relay Networks. CoRR abs/2008.04651 (2020) - [i76]