Selected Publications

Categorised by the main topic; *Corresponding Author (for journal publications)

Preprints 

• Ciyuan Peng, Jiayuan He, Feng Xia. Learning on Multimodal Graphs: A Survey. arXiv:2402.05322

• Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, Feng Xia. Entropy Causal Graphs for Multivariate Time Series Anomaly Detection, arXiv:2312.09478

• Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R Hancock. Quantum Graph Learning: Frontiers and Outlook, arXiv:2302.00892

Graph Learning

• Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia. HIM: Discovering Implicit Relationships in Heterogeneous Social Networks, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 14-19, 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 Transactions on Consumer Electronics, 2024. DOI: 10.1109/TCE.2024.3355122 [PDF]

• Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor. Deep Outdated Fact Detection in Knowledge Graphs, 2023 IEEE International Conference on Data Mining Workshops (ICDMW), December 1-4, 2023, Shanghai, China. DOI: 10.1109/ICDMW60847.2023.00184. [PDF]

• Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia. MEGA: Explaining Graph Neural Networks with Network Motifs, International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 18-23 June 2023. DOI: 10.1109/IJCNN54540.2023.10191684  [PDF]

• Liangtian Wan, Zhenqiang Fu, Lu Sun, Xianpeng Wang, Gang Xu, Xiaoran Yan, Feng Xia. Self-Supervised Teaching and Learning of Representations on Graphs, In Proceedings of the ACM Web Conference (TheWebConf), April 30 - May 04, 2023, Austin, TX, USA  DOI: 10.1145/3543507.3583441 [PDF]

• 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, In Proceedings of the ACM Web Conference (TheWebConf), April 30 - May 04, 2023, Austin, TX, USA. https://doi.org/10.1145/3543507.3583253. [PDF]

• Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You. Coupled Attention Networks for Multivariate Time Series Anomaly Detection, IEEE Transactions on Emerging Topics in Computing, 2023. DOI: 10.1109/TETC.2023.3280577  [PDF]

• Liangtian Wan, Zhengqiang Fu, Yi Ling, Yuchen Sun, Xiaona Li, Lu Sun, Feng Xia, Xiaoran Yan, Charu Aggarwal. Z-Laplacian Matrix Factorization: Network Embedding with Interpretable Graph Signals, IEEE Transactions on Knowledge and Data Engineering, 2023. DOI: 10.1109/TKDE.2023.3331027. [PDF]

• Shuo Yu, Feng Xia*, Shihao Li, Mingliang Hou, and Quan Z. Sheng. Spatio-Temporal Graph Learning for Epidemic Prediction, ACM Transactions on Intelligent Systems and Technology, 2023. DOI: 10.1145/3579815. [PDF]

• Mingliang Hou, Feng Xia*, Xin Chen, Vidya Saikrishna, and Honglong Chen. Adaptive Spatio-Temporal Graph Learning for Bus Station Profiling, ACM Transactions on Spatial Algorithms and Systems, 2023. DOI: 10.1145/3636459. [PDF]

• Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu. Physics-Informed Graph Learning, The 22nd IEEE International Conference on Data Mining (ICDM) Workshops, Nov. 28 - Dec. 1, 2022, Orlando, FL, USA. https://doi.org/10.1109/ICDMW58026.2022.00100. [PDF]

• Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, and Feng Xia. Abnormal Entity-Aware Knowledge Graph Completion, The 22nd IEEE International Conference on Data Mining (ICDM) Workshops, Nov. 28 - Dec. 1, 2022, Orlando, FL, USA. https://doi.org/10.1109/ICDMW58026.2022.00118. [PDF]

• Yuhang Lin, Yanze Huang, Sun-Yuan Hsieh, Limei Lin, Feng Xia. Layered Malicious Nodes Detection with Graph Attention Network in Human-Cyber-Physical Networks, The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), October 20 - 22, 2022, Denver, Colorado, USA. https://doi.org/10.1109/MASS56207.2022.00079. [PDF]

• Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia. Graph Augmentation Learning, The ACM Web Conference (TheWebConf), Companion, April 25–29, 2022, Virtual Event, Lyon, France. https://doi.org/10.1145/3487553.3524718. [PDF]

• Ke Sun, Feng Xia*, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu Aggarwal. Attributed Graph Force Learning, IEEE Transactions on Neural Networks and Learning Systems, 2022. DOI: 10.1109/TNNLS.2022.3221100. [PDF]

• Shuo Yu, Feng Xia*, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty. PANDORA: Deep graph learning based COVID-19 infection risk level forecasting, IEEE Transactions on Computational Social Systems, 2022. DOI: 10.1109/TCSS.2022.3229671. [PDF]

• Jing Ren, Feng Xia*, Ivan Lee, Azadeh Noori Hoshyar, Charu Aggarwal. Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges, ACM Transactions on Intelligent Systems and Technology, 2022. DOI: 10.1145/3570906. [PDF]

• Falih Gozi Febrinanto, Feng Xia*, Kristen Moore, Chandra Thapa, and Charu Aggarwal. Graph Lifelong Learning: A Survey, IEEE Computational Intelligence Magazine, 2022. DOI: 10.1109/MCI.2022.3222049. [PDF]

• Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, and Irwin King. CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs, IEEE Transactions on Knowledge and Data Engineering, 2022. DOI: 10.1109/TKDE.2022.3149888. [PDF]

• Jiaying Liu, Feng Xia*, Xu Feng, Jing Ren, Huan Liu. Deep Graph Learning for Anomalous Citation Detection, IEEE Transactions on Neural Networks and Learning Systems, 33(6): 2543-2557, 2022. DOI: 10.1109/TNNLS.2022.3145092. [PDF]

• Jiaying Liu, Feng Xia*, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi. MIRROR: Mining Implicit Relationships with Structure-Enhanced Graph Convolutional Networks, ACM Transactions on Knowledge Discovery from Data, 2022. DOI: 10.1145/3564531. [PDF]

• Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia*, Gour Karmakar, Jianxin Li. Exploring Human Mobility for Multi-pattern Passenger Prediction: A Graph Learning Framework, IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3148116. [PDF]

• Mingliang Hou, Feng Xia*, Haoran Gao, Xin Chen, Honglong Chen. Urban Region Profiling with Spatio-Temporal Graph Neural Networks, IEEE Transactions on Computational Social Systems, 2022. DOI: 10.1109/TCSS.2022.3183570. [PDF]

• Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Feng Xia, Philip S. Yu. Graph Self-Supervised Learning: A Survey, IEEE Transactions on Knowledge and Data Engineering, 2022, DOI: 10.1109/TKDE.2022.3172903. [PDF]

• 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 Transactions on Knowledge Discovery from Data, 2022. https://doi.org/10.1145/3564594. [PDF]

• Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia*. Graph Learning for Fake Review Detection, Frontiers in Artificial Intelligence, Vol. 5, 2022. DOI: 10.3389/frai.2022.922589

• Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia. Cross Network Representation Matching with Outliers, International Conference on Data Mining (ICDM) Workshops, December 7-10, 2021, Auckland, New Zealand. https://doi.org/10.1109/ICDMW53433.2021.00124. [PDF]

• Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, and Feng Xia. Higher-order Structure Based Anomaly Detection on Attributed Networks, IEEE International Conference on Big Data (BigData), Dec 15-18, 2021, Online. https://doi.org/10.1109/BigData52589.2021.9671990. 

• Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur and Feng Xia. Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach. The 7th IEEE International Conference on Data Science and Systems (DSS), Dec 20 - 22, 2021, Haikou, China (Best Paper Award) https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00182 

• Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia. Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks, The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), December 14-17, 2021, Melbourne, Australia. https://doi.org/10.1145/3498851.3498926  [PDF]

• Fangming Zhong, Guangze Wang, Zhikui Chen, Xu Yuan, Feng Xia. Multiple-Input Multiple-Output Fusion Network for Generalized Zero-Shot Learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6-11 June 2021, Toronto, Canada. https://doi.org/10.1109/ICASSP39728.2021.9413509 

• Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong and Feng Xia. A3Graph: Adversarial Attributed Autoencoder for Graph Representation, The 36th ACM Symposium on Applied Computing (SAC), Virtual, South Korea, March 22-26, 2021. https://doi.org/10.1145/3412841.3442042. 

• Feng Xia*, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu. Graph Learning: A Survey, IEEE Transactions on Artificial Intelligence, 2(2): 109-127, 2021. DOI: 10.1109/TAI.2021.3076021. [PDF]

• Feng Xia, Shuo Yu, Chengfei Liu, Jianxin Li, and Ivan Lee. CHIEF: Clustering with Higher-order Motifs in Big Networks, IEEE Transactions on Network Science and Engineering, 2022, 9(3): 990-1005. DOI: 10.1109/TNSE.2021.3108974. [PDF]

• Wei Wang, Feng Xia*, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison. Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction, ACM Transactions on Knowledge Discovery from Data (TKDD), April 2021, 15(3), Article No.: 40. DOI: 10.1145/3442199. 

• Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia*, Zhiguo Gong, Irwin King. Attributed Collaboration Network Embedding for Academic Relationship Mining, ACM Transactions on the Web, November 2020, Vol.15, Issue 1, Article No.: 4, DOI: 10.1145/3409736

• Wei Wang, Tao Tang, Feng Xia*, Zhiguo Gong, Zhikui Chen, Huan Liu. Collaborative Filtering with Network Representation Learning for Citation Recommendation, IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2020.3034976.

• 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 Transactions on Knowledge and Data Engineering, 33(4): 1763-1777, 2021. DOI: 10.1109/TKDE.2019.2946825. [PDF]

• Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee. OFFER: A Motif Dimensional Framework for Network Representation Learning, The 29th ACM International Conference on Information and Knowledge Management (CIKM), October 19 - 23, 2020, Virtual Event, Ireland. https://doi.org/10.1145/3340531.3417446. [PDF]

• Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, and Feng Xia. Graph Force Learning, IEEE International Conference on Big Data (BigData), December 10-13, 2020, Online. https://doi.org/10.1109/BigData50022.2020.9378120  [PDF]

• Wei Wang, Zhiguo Gong, Jing Ren, Feng Xia*, Zhihan Lv, Wei Wei. Venue Topic Model enhanced Deep Graph Modelling for Citation Recommendation in Scholarly Big Data, ACM Transactions on Asian and Low-Resource Language Information Processing, 2020, DOI: 10.1145/3404995. 

• Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia*. Network Embedding: Taxonomies, Frameworks and Applications, Computer Science Review, Volume 38, November 2020, 100296, DOI: 10.1016/j.cosrev.2020.100296

• 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, 2020, 8: 205600-205617. DOI: 10.1109/ACCESS.2020.3037118 (Featured Article: IEEE Access Article of the Week)

• Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia. MODEL: Motif-Based Deep Feature Learning for Link Prediction, IEEE Transactions on Computational Social Systems, 7(2): 503-516, April 2020, DOI: 10.1109/TCSS.2019.2962819. [PDF]

• Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia*. Big Networks: A Survey, Computer Science Review, Volume 37, August 2020, 100247. DOI: 10.1016/j.cosrev.2020.100247. [PDF]

• Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia. Motif Discovery in Networks: A Survey, Computer Science Review, Volume 37, August 2020, 100267. DOI: 10.1016/j.cosrev.2020.100267

• Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong. Random Walks: A Review of Algorithms and Applications, IEEE Transactions on Emerging Topics in Computational Intelligence, 4(2): 95-107, April 2020. DOI: 10.1109/TETCI.2019.2952908. [PDF]

• Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia. DINE: A Framework for Deep Incomplete Network Embedding, The 32nd Australasian Joint Conference on Artificial Intelligence (AI), 2-5 Dec 2019, Adelaide Australia. https://doi.org/10.1007/978-3-030-35288-2_14  [PDF]

• Kaiyuan Zhang, Shuo Yu, Liangtian Wan, Jianxin Li, Feng Xia. Predictive Representation Learning in Motif-based Graph Networks, The 32nd Australasian Joint Conference on Artificial Intelligence (AI), 2-5 Dec 2019, Adelaide Australia. https://doi.org/10.1007/978-3-030-35288-2_15 

• Jiaying Liu, Xiangjie Kong, Feng Xia*, Xiaomei Bai, Lei Wang, Qing Qing, and Ivan Lee. Artificial Intelligence in the 21st Century, IEEE Access, 2018, 6(1): 34403-34421. DOI: 10.1109/ACCESS.2018.2819688

Brain Science and Digital Health

• Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia. Adaptive Brain Network Augmentation based on Group-aware Graph Learning, International Conference on Learning Representations (ICLR), Vienna Austria, May 7-11, 2024.

• Ke Sun, Ciyuan Peng, Shuo Yu, Zhuoyang Han, Feng Xia*. From Electroencephalogram (EEG) Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis, IEEE Intelligent Systems, 2024. DOI: 10.1109/MIS.2024.3352972. [PDF]

• Falih Febrinanto, Mujie Liu and Feng Xia, Balanced Graph Structure Information for Brain Disease Detection, 19th Pacific-Rim Knowledge Acquisition Workshop (PKAW), Jakarta, Indonesia, November 15-16, 2023, Lecture Notes in Artificial Intelligence (LNAI), Volume 14317. https://doi.org/10.1007/978-981-99-7855-7_11  [PDF]

• Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee. Explainable Knowledge Distillation for On-device Chest X-Ray Classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023. DOI: 10.1109/TCBB.2023.3272333. [PDF]

• Shuo Yu, Sihan He, Zhen Cai, Ivan Lee, Mehdi Naseriparsa, and Feng Xia. Exploring Public Sentiment During COVID-19: A Cross Country Analysis, IEEE Transactions on Computational Social Systems, 2022. DOI: 10.1109/TCSS.2022.3146633. [PDF]

• Teng Guo, Wenhong Zhao, Mubarak Alrashoud, Amr Tolba, Selena Firmin, Feng Xia. Multimodal Educational Data Fusion for Students' Mental Health Detection, IEEE Access, Vol. 10, pp: 70370 - 70382, June 2022. DOI: 10.1109/ACCESS.2022.3187502

• Dongyu Zhang, Teng Guo, Shiyu Han, Sadaf Vahabli, Mehdi Naseriparsa, and Feng Xia. Predicting Mental Health Problems with Personality, Behavior, and Social Networks, IEEE International Conference on Big Data (BigData), Dec 15-18, 2021, Online. https://doi.org/10.1109/BigData52589.2021.9671987 

• Dongyu Zhang, Nan Shi, Ciyuan Peng, Abdul Aziz, Wenhong Zhao, and Feng Xia. MAM: A Metaphor-based Approach for Mental Illness Detection, International Conference on Computational Science (ICCS), Krakow, Poland, 16-18 June 2021. https://doi.org/10.1007/978-3-030-77967-2_47 

• Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia*. Data-Driven Decision Making in COVID-19 Response: A Survey, IEEE Transactions on Computational Social Systems, 8(4): 1016-1029, 2021. DOI: 10.1109/TCSS.2021.3075955. [PDF]

• 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 Research, 2021. DOI: 10.1016/j.bdr.2021.100236

• Mingliang Liu, Shuo Yu, Xinbei Chu, and Feng Xia. CRI: Measuring City Infection Risk amid COVID-19, The 7th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 16 - 18 December, 2020, Virtual, Australia (Best Paper Award) https://doi.org/10.1109/CSDE50874.2020.9411559 

• Bo Xu, Xiufeng Shi, Yueqin Yin, Zhehuan Zhao, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, and Feng Xia. Incorporating User Generated Content for Drug Drug Interaction Extraction Based on Full Attention Mechanism, IEEE Transactions on NanoBioscience, 18(3): 360-367, 2019. DOI: 10.1109/TNB.2019.2919188

• Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Jie Dong, Hongfei Lin, Zhihao Yang, Jian Wang and Feng Xia. A Network Embedding Model for Pathogenic Genes Prediction by Multi-path Random Walking on Heterogeneous Network. BMC Medical Genomics, 2019, 12: 1-12. DOI:10.1186/s12920-019-0627-z 

• Bo Xu, Xiufeng Shi, Zhehuan Zhao, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, and Feng Xia. Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3-6 December 2018, Madrid, Spain. https://doi.org/10.1109/BIBM.2018.8621281 

• Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, and Feng Xia. Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3-6 December 2018, Madrid, Spain. https://doi.org/10.1109/BIBM.2018.8621103 

• Bo Xu, Kun Li, Xiaoxia Liu, Delong Liu, Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, and Feng Xia. Protein Complexes Detection Based on Global Network Representation Learning, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3-6 December 2018, Madrid, Spain. https://doi.org/10.1109/BIBM.2018.8621541 

Robotics and Systems Engineering

• Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia*. Multiple Instance Learning for Cheating Detection and Localization in Online Examinations, IEEE Transactions on Cognitive and Developmental Systems, 2024. DOI: 10.1109/TCDS.2024.3349705

• Tingting Wang, Tao Tang, Zhen Cai, Kai Fang, Jinyu Tian, Jianqing Li, Wei Wang, and Feng Xia. Federated Learning-based Information Leakage Risk Detection for Secure Medical Internet of Things. ACM Transactions on Internet Technology, 2024. DOI: 10.1145/3639466

• Feng Xia*, Leman Akoglu, Charu Aggarwal, Huan Liu. Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection, IEEE Intelligent Systems, Guest Editorial, vol. 38, no. 2, pp. 32-35, 2023, DOI: 10.1109/MIS.2023.3255590.

• Jianhui Zhang, Yanhong Xu, Jiacheng Wang, HanXiang Wang, Bei Zhao, Feng Xia, Liming Liu. Efficient Throughput Maximization in Dynamic Rechargeable Networks, IEEE Transactions on Mobile Computing, 2023. DOI: 10.1109/TMC.2023.3256007

• Kai Lin, Honglong Chen, Zhe Li, Na Yan, Huansheng Xue, Feng Xia. Efficiently Identifying Unknown COTS RFID Tags for Intelligent Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, 2023. DOI: 10.1109/TITS.2023.3289072

• Xuejian Chi, Honglong Chen, Guoxin Li, Zhichen Ni, Nan Jiang, and Feng Xia. EDSP-Edge: Efficient Dynamic Edge Service Entity Placement for Mobile Virtual Reality Systems, IEEE Transactions on Wireless Communications, 2023. DOI: 10.1109/TWC.2023.3302917.

• Xiangjie Kong, Yuhan Wu, Hui Wang, Feng Xia*. Edge Computing for Internet of Everything: A Survey, IEEE Internet of Things Journal, 2022. DOI: 10.1109/JIOT.2022.3200431

• Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee. Deep Video Anomaly Detection: Opportunities and Challenges, International Conference on Data Mining (ICDM) Workshops, December 7-10, 2021, Auckland, New Zealand

• Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia. In Your Face: Sentiment Analysis of Metaphor Using Facial Expressive Features, International Joint Conference on Neural Networks (IJCNN), 18-22 July 2021, Online

• 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 Transactions on Industrial Informatics, 2021. DOI: 10.1109/TII.2021.3067324

• Wei Wang, Feng Xia*, Hansong Nie, Zhikui Chen, Zhiguo Gong, Xiangjie Kong, and Wei Wei. Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles, IEEE Transactions on Intelligent Transportation Systems, 22(6): 3567-3576, June 2021, DOI: 10.1109/TITS.2020.2995856

• Liangtian Wan, Yuchen Sun, Ivan Lee, Wenhong Zhao and Feng Xia*. Industrial Pollution Areas Detection and Location via Satellite-Based IIOT, IEEE Transactions on Industrial Informatics, 17(3): 1785-1794, March 2021. DOI: 10.1109/TII.2020.2992658

• Fangming Zhong, Zhikui Chen, Geyong Min, Feng Xia. Semantic Augmentation Hashing for Zero-Shot Image Retrieval, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-8 May 2020, Barcelona, Spain.

• Zhaolong Ning, Peiran Dong, Xiaojie Wang, Joel Rodrigues, Feng Xia*. Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System, ACM Transactions on Intelligent Systems and Technology, 2019. 10(6), Article No. 60. DOI: 10.1145/3317572

• Xiangjie Kong, Xiaoteng Liu, Behrouz Jedari, Menglin Li, Liangtian Wan, Feng Xia*. Mobile Crowdsourcing in Smart Cities: Technologies, Applications and Future Challenges, IEEE Internet of Things Journal, 6(5): 095-8113, Oct. 2019. DOI: 10.1109/JIOT.2019.2921879

• Xiangjie Kong, Kai Ma, Shen Hou, Di Shang, Feng Xia*. Human Interactive Behaviour: A Bibliographic Review, IEEE Access, 7(1): 4611-4628, 2019. DOI: 10.1109/ACCESS.2018.2887341 (Invited Paper)

• Ram Prasad Padhy, Feng Xia, Suman Kumar Choudhury, Pankaj Kumar Sa, and Sambit Bakshi. Monocular Vision Aided Autonomous UAV Navigation in Indoor Corridor Environments, IEEE Transactions on Sustainable Computing, 4(1): 96-108, 2019. DOI: 10.1109/TSUSC.2018.2810952

• Zhaolong Ning, Xiaojie Wang, Feng Xia*, Joel Jose Rodrigues. Joint Computation Offloading, Power Allocation, and Channel Assignment for 5G-enabled Traffic Management Systems, IEEE Transactions on Industrial Informatics, 15(5): 3058-3067, 2019. DOI: 10.1109/TII.2019.2892767

• Zhaolong Ning, Peiran Dong, Xiangjie Kong and Feng Xia*. A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things, IEEE Internet of Things Journal, 6(3): 4804-4814, 2019. DOI: 10.1109/JIOT.2018.2868616

• Zhaolong Ning, Xiangjie Kong, Feng Xia*, Weigang Hou, Xiaojie Wang. Green and Sustainable Cloud of Things: Enabling Collaborative Edge Computing, IEEE Communications Magazine, 57(1): 72-78, 2019. DOI: 10.1109/MCOM.2018.1700895

• Liangtian Wan, Lu Sun, Xiangjie Kong, Yuyuan Yuan, Ke Sun, and Feng Xia. Task-Driven Resource Assignment in Mobile-Edge Computing Exploiting Evolutionary Computation, IEEE Wireless Communications, 26(6): 94-101, 2019. DOI: 10.1109/MWC.001.1800582

• Behrouz Jedari, Feng Xia*, Honglong Chen, Sajal K. Das, Amr Tolba, Zafer AL-Makhadmeh. A social-based watchdog system to detect selfish nodes in opportunistic mobile networks, Future Generation Computer Systems, Volume 92, March 2019, Pages 777-788. DOI: 10.1016/j.future.2017.10.049

• Behrouz Jedari, Feng Xia*, Zhaolong Ning. A Survey on Human-centric Communications in Non-cooperative Wireless Relay Networks, IEEE Communications Surveys & Tutorials, 20(2): 914-944, 2018. DOI: 10.1109/COMST.2018.2791428

• Liangtian Wan, Xiangjie Kong, and Feng Xia*. Joint Range-Doppler-Angle Estimation for Intelligent Tracking of Moving Aerial Targets, IEEE Internet of Things Journal, 2018, 5(3): 1625-1636. DOI: 10.1109/JIOT.2017.2787785

• Honglong Chen, Wei Lou, Zhibo Wang, Feng Xia. On Achieving Asynchronous Energy-Efficient Neighbor Discovery for Mobile Sensor Networks. IEEE Transactions on Emerging Topics in Computing, 2018, 6(4): 553-565. DOI: 10.1109/TETC.2016.2586192

• Honglong Chen, Zhibo Wang, Feng Xia, Yanjun Li, Leyi Shi. Efficiently and Completely Identifying Missing Key Tags for Anonymous RFID Systems, IEEE Internet of Things Journal, 2018, 5(4): 2915-2926. DOI: 10.1109/JIOT.2017.2752239

• Syed Adeel Ali Shah, Ejaz Ahmed, Feng Xia*, Ahmad Karim, Muhammad Shiraz, Rafidah MD Noor. Adaptive Beaconing Approaches for Vehicular Ad Hoc Networks: A Survey, IEEE Systems Journal, 2018, 12(2): 1263-1277. DOI: 10.1109/JSYST.2016.2573680.

• Jiankang Ren, Guowei Wu, Xiaoyan Su, Guanghai Cui, Feng Xia, and Mohammad S. Obaidat. Learning Automata-Based Data Aggregation Tree Construction Framework for Cyber-Physical Systems, IEEE Systems Journal, 2018, 12(2): 1467-1479, DOI: 10.1109/JSYST.2015.2507577

• Tie Qiu, Aoyang Zhao, Feng Xia, Weisheng Si, Dapeng Wu. ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks, IEEE/ACM Transactions on Networking, 25(5): 2944-2959, 2017. DOI: 10.1109/TNET.2017.2713530 

• Honglong Chen, Guolei Ma, Zhibo Wang, Feng Xia, Jiguo Yu. Probabilistic Detection of Missing Tags for Anonymous Multi-Category RFID Systems. IEEE Transactions on Vehicular Technology, 66(12): 11295-11305, 2017. DOI: 10.1109/TVT.2017.2726005

• Zhaolong Ning, Feng Xia*, Noor Ullah, Xiangjie Kong, and Xiping Hu. Vehicular Social Networks: Enabling Smart Mobility, IEEE Communications Magazine, Vol.55, No.5, pp: 49-55, May 2017. DOI: 10.1109/MCOM.2017.1600263

• Zhaolong Ning, Feng Xia*, Xiping Hu, Zhikui Chen, and Mohammad S. Obaidat. Social-oriented Adaptive Transmission in Opportunistic Internet of Smartphones, IEEE Transactions on Industrial Informatics, Vol. 13, No. 2, pp: 810-820, 2017, DOI: 10.1109/TII.2016.2635081   

• Zhaolong Ning, Li Liu, Feng Xia*, Behrouz Jedari, Ivan Lee, and Weishan Zhang. CAIS: A Copy Adjustable Incentive Scheme in Community-based Socially-Aware Networking, IEEE Transactions on Vehicular Technology, Vol. 66, No.4, pp: 3406-3419, 2017. DOI: 10.1109/TVT.2016.2593051   

• Feng Xia, Behrouz Jedari, Laurence Tianruo Yang, Jianhua Ma, and Runhe Huang. A Signaling Game for Uncertain Data Delivery in Selfish Mobile Social Networks, IEEE Transactions on Computational Social Systems, Vol. 3, No. 2, 2016, pp: 100 - 112. DOI: 10.1109/TCSS.2016.2584103

• Feng Xia, Li Liu, Behrouz Jedari, and Sajal K. Das. PIS: A Multi-dimensional Routing Protocol for Socially-aware Networking, IEEE Transactions on Mobile Computing, 15(11): 2825-2836, 2016. DOI: 10.1109/TMC.2016.2517649

• Zhaolong Ning, Feng Xia*, Xiangjie Kong, and Zhikui Chen. Social-Oriented Resource Management in Cloud-Based Mobile Networks, IEEE Cloud Computing, Volume: 3, Issue: 4, pp: 24 - 31, 2016. DOI: 10.1109/MCC.2016.82

• Feng Xia, Hannan Bin Liaqat, Jing Deng, Jiafu Wan, Sajal K. Das. Overhead Control with Reliable Transmission of Popular Packets in Ad-Hoc Social Networks, IEEE Transactions on Vehicular Technology, 65(9): 7647-7661, Sept 2016. DOI: 10.1109/TVT.2015.2484418

• Feng Xia, Hannan Bin Liaqat, Ahmedin Mohammed Ahmed, Li Liu, Jianhua Ma, Runhe Huang, Amr Tolba. User Popularity-based Packet Scheduling for Congestion Control in Ad-hoc Social Networks, Journal of Computer and System Sciences, Vol.82, No.1, 2016, pp. 93-112. DOI: 10.1016/j.jcss.2015.07.002

• Feng Xia, Qiuyuan Yang, Jie Li, Jiannong Cao, Li Liu, Ahmedin Mohammed Ahmed. Data Dissemination Using Interest Tree in Socially Aware Networking, Computer Networks, Vol. 91, November 2015, pp: 495-507. DOI: 10.1016/j.comnet.2015.08.047

• Hannan Bin Liaqat, Feng Xia*, Jianhua Ma, Laurence Tianruo Yang, Ahmedin Mohammed Ahmed, and Nana Yaw Asabere. Social-Similarity-aware TCP with Collision Avoidance in Ad-hoc Social Networks, IEEE Systems Journal, vol. 9, no.4, pp: 1273-1284, 2015. DOI: 10.1109/JSYST.2014.2305191

• João Dias, Joel Rodrigues, Feng Xia, Constandinos Mavromoustakis. A Cooperative Watchdog System to Detect Misbehavior Nodes in Vehicular Delay-Tolerant Networks, IEEE Transactions on Industrial Electronics, Vol. 62, No.12, pp:7929-7937, 2015. DOI: 10.1109/TIE.2015.2425357

• Feng Xia, Ahmedin Mohammed Ahmed, Laurence Tianruo Yang, and Zhongxuan Luo. Community-based Event Dissemination with Optimal Load Balancing, IEEE Transactions on Computers, Vol. 64, No. 7, July 2015, pp: 1857-1869; DOI: 10.1109/TC.2014.2345409

• Feng Xia, Li Liu, Jie Li, Ahmedin Mohammed Ahmed, Laurence Tianruo Yang, and Jianhua Ma. BEEINFO: An Interest-based Forwarding Scheme Using Artificial Bee Colony for Socially-aware Networking, IEEE Transactions on Vehicular Technology, Vol. 64, No.3, pp: 1188-1200, 2015, DOI: 10.1109/TVT.2014.2305192

• Atta ur Rehman Khan, Mazliza Othman, Feng Xia*, Abdul Nasir Khan. Context-Aware Mobile Cloud Computing & Its Challenges, IEEE Cloud Computing, 2015, Vol. 2, No. 3, pp: 42-49

• Feng Xia, Li Liu, Jie Li, Jianhua Ma, and Athanasios V. Vasilakos. Socially-Aware Networking: A Survey, IEEE Systems Journal, 2015, Vol 9, No 3, pp: 904 - 921; DOI: 10.1109/JSYST.2013.2281262  

• Yashar Najaflou, Behrouz Jedari, Feng Xia*, Laurence T. Yang, Mohammad S. Obaidat. Safety Challenges and Solutions in Mobile Social Networks, IEEE Systems Journal, 2015, Vol 9, No 3, pp: 834 - 854; DOI: 10.1109/JSYST.2013.2284696

• Biao Zhu, Hongxin Zhang, Wei Chen, Feng Xia, Ross Maciejewski. ShotVis: Smartphone-based Visualization of OCR Information from Images, ACM Transactions on Multimedia Computing Communications and Applications, Vol. 12, No. 1s, Article 12, October 2015. DOI: 10.1145/2808210

• Ahmedin Mohammed Ahmed, Feng Xia, Qiuyuan Yang, Hannan Bin Liaqat, Zhikui Chen, Tie Qiu. Bacteria Inspired Mitigation of Selfish Users in Ad-hoc Social Networks, Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Philadelphia, PA, USA, August 11-14, 2014.

• Feng Xia, Ahmedin Mohammed Ahmed, Laurence Tianruo Yang, Jianhua Ma, Joel Rodrigues. Exploiting Social Relationship to Enable Efficient Replica Allocation in Ad-hoc Social Networks. IEEE Transactions on Parallel and Distributed Systems, 25(12): 3167-3176, 2014; DOI: 10.1109/TPDS.2013.2295805

•  Saeid Abolfazli, Zohreh Sanaei, Mojtaba Alizadeh, Abdullah Gani, Feng Xia. An Experimental Analysis on Cloud-based Mobile Augmentation in Mobile Cloud Computing, IEEE Transactions on Consumer Electronics, Vol. 60, No. 1, pp. 146 - 154, Feb 2014.

Big Data and Social Computing

• Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang and Feng Xia. Web of Conferences: A Conference Knowledge Graph, The 16th ACM International Conference on Web Search and Data Mining (WSDM), Demo, February 27 to March 3, 2023, Singapore

• Teng Guo and Feng Xia. Student Behavior Pattern Mining and Analysis: Towards Smart Campuses, In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM), February 27-March 3, 2023, Singapore

• Mingliang Hou, Tao Tang, Feng Xia*, Ibrahim Sultan, Roopdeep Kaur, Xiangjie Kong. MissII: Missing Information Imputation for Trajectory Data, IEEE Transactions on Emerging Topics in Computing, 2023. DOI: 10.1109/TETC.2023.3280481

• Ciyuan Peng, Feng Xia*, Mehdi Naseriparsa, Francesco Osborne. Knowledge Graphs: Opportunities and Challenges, Artificial Intelligence Review, 2023. DOI: 10.1007/s10462-023-10465-9

• 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 of Things Journal, 2023. DOI: 10.1109/JIOT.2023.3329363.

• Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan. A Survey on Fairness-aware Recommender Systems, Information Fusion, Volume 100, December 2023, 101906, DOI: 10.1016/j.inffus.2023.101906

• Teng Guo, Xiaomei Bai, Shihao Zhen, Shagufta Abid, Feng Xia*. Lost at starting line: Predicting maladaptation of university freshmen based on educational big data, Journal of the Association for Information Science and Technology, 2023, 74(1):17-32. DOI: 10.1002/asi.24718

• Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia*. Collaborative Team Recognition: A Core Plus Extension Structure, Journal of Informetrics, Volume 16, Issue 4, November 2022, 101346, DOI: 10.1016/j.joi.2022.101346.

• Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin and Feng Xia. MET-Meme: A Multimodal Meme Dataset Rich in Metaphors, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 11-15, 2022, Madrid, Spain and online

• Jing Ren, Yajie Shi, Adrian Shatte, Xiangjie Kong and Feng Xia. The Significance and Impact of Winning an Academic Award: A Study of Early Career Academics, ACM/IEEE Joint Conference on Digital Libraries (JCDL), June 20 - 24, 2022, Cologne, Germany and Online.

• Dongyu Zhang, Minghao Zhang, Ciyuan Peng, and Feng Xia. Expressing Metaphorically, Writing Creatively: Metaphor Identification for Assessment of Creativity in Writing, The ACM Web Conference (TheWebConf), Companion, April 25–29, 2022, Virtual Event, Lyon, France

• Dongyu Zhang, Ciyuan Peng, Xiaojun Chang, Feng Xia*. The Effect of Facial Perception and Academic Performance on Social Centrality, IEEE Transactions on Computational Social Systems, 2022. DOI: 10.1109/TCSS.2022.3159829

• Xiangjie Kong, Qiao Chen, Mingliang Hou, Azizur Rahim, Kai Ma, and Feng Xia*. RMGen: A Tri-Layer Vehicular Trajectory Data Generation Model Exploring Urban Region Division and Mobility Pattern, IEEE Transactions on Vehicular Technology, 2022, DOI: 10.1109/TVT.2022.3176243

• Xingfa Shen, Wentao Lv, Jianhui Qiu, Fengjun Xiao, Achhardeep Kaur, and Feng Xia*. Trust-aware Detection of Malicious Users in Dating Social Networks, IEEE Transactions on Computational Social Systems, 2022, DOI: 10.1109/TCSS.2022.3174011

• Teng Guo, Xiaomei Bai, Xue Tian, Selena Firmin, Feng Xia*. Educational Anomaly Analytics: Features, Methods, and Challenges. Frontiers in Big Data, Volume 4, Article 811840, 2022. DOI: 10.3389/fdata.2021.811840.

• Feng Xia*, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang. SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data, ACM/IMS Transactions on Data Science, Volume 2, Issue 4, November 2021, Article No.: 39, pp 1–24. DOI: 10.1145/3510361

• Teng Guo, Tao Tang, Dongyu Zhang, Jianxin Li, and Feng Xia. Web of Students: Class-Level Friendship Network Discovery from Educational Big Data, The 22nd International Conference on Web Information Systems Engineering (WISE), 26-29 Oct 2021, Melbourne, Australia. (Invited Paper)

• Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang and Zitao Liu. Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models, International Conference on Artificial Intelligence in Education (AIED), June 14-18, 2021, Utrecht, Netherlands.

• Shuo Yu, Feng Xia*, Chen Zhang, Haoran Wei, Kathleen Keogh, Honglong Chen. Familiarity-based Collaborative Team Recognition in Academic Social Networks, IEEE Transactions on Computational Social Systems, 2021. DOI: 10.1109/TCSS.2021.3129054

• Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, and Feng Xia. VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021. DOI: 10.1109/TETCI.2021.3102619

• Jing Ren, Feng Xia*, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong. Matching Algorithms: Fundamentals, Applications and Challenges, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 5(3): 332-350, 2021. DOI: 10.1109/TETCI.2021.3067655

• Teng Guo, Linhong Li, Dongyu Zhang, Feng Xia*. Surf or sleep? Understanding the influence of bedtime pattern on campus, ACM SIGKDD Explorations, Dec 2021

• 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, 2021. DOI: 10.1007/s11280-021-00974-4

• Xiaomei Bai, Fuli Zhang, Jinzhou Li, Teng Guo, Abdul Aziz, Aijing Jin, Feng Xia*. Educational Big Data: Prediction, Applications and Challenges, Big Data Research, Volume 26, November 2021, 100270. DOI: 10.1016/j.bdr.2021.100270

• Liangtian Wan, Feng Xia*, Xiangjie Kong, Ching-Hsien Hsu, Runhe Huang, Jianhua Ma. Deep Matrix Factorization for Trust-Aware Recommendation in Social Networks, IEEE Transactions on Network Science and Engineering, 8(1): 511-528, 2021. DOI: 10.1109/TNSE.2020.3044035

• Shuo Yu, Jiaying Liu, Feng Xia*, Haoran Wei, Hanghang Tong. How to optimize an academic team when the outlier member is leaving? IEEE Intelligent Systems, 36(3): 23-30, 2021. DOI: 10.1109/MIS.2020.3042871 (featured in IEEE Spectrum)

• Shuo Yu, Feng Xia*, Yuchen Sun, Tao Tang, Xiaoran Yan, and Ivan Lee. Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions, IEEE Transactions on Computational Social Systems, 8(1): 134-147, Feb 2021. DOI: 10.1109/TCSS.2020.2977958

• Liangtian Wan, Yuyuan Yuan, Feng Xia*, Huan Liu. To Your Surprise: Identifying Serendipitous Collaborators, IEEE Transactions on Big Data, 7(3): 574-589, July 2021. DOI: 10.1109/TBDATA.2019.2921567.

• Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong. Turing Number: How Far Are You to A. M. Turing Award? ACM SIGWEB Newsletter, November 2020, Article No.: 5, pp 1-8. DOI: 10.1145/3427478.3427483

• Jing Ren, Ivan Lee, Lei Wang, Xiangtai Chen, Feng Xia. On the Correlation between Research Complexity and Academic Competitiveness, The 22nd International Conference on Asia-Pacific Digital Libraries (ICADL), November 30 to December 1, 2020, Online

• Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia. Multivariate Relations Aggregation Learning in Social Networks, ACM/IEEE Joint Conference on Digital Libraries (JCDL), Wuhan, China, August 1 - 5, 2020. (ACM SIGWEB/SIGIR Vannevar Bush Best Paper Honorable Mention)

• Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, and Feng Xia. Web of Scholars: A Scholar Knowledge Graph. the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 25 - 30, 2020, Xi’an, China.

• Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang. Graduate Employment Prediction with Bias, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), February 7-12, 2020, New York, USA.

• Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia*. The Gene of Scientific Success, ACM Transactions on Knowledge Discovery from Data, Volume 14, Issue 4, May 2020, Article No.: 41, pp 1–19. DOI: 10.1145/3385530 (featured in Nature Index)

• Feng Xia, Jinzhong Wang, Xiangjie Kong, Da Zhang, and Zhibo Wang. Ranking Station Importance with Human Mobility Patterns Using Subway Network Datasets, IEEE Transactions on Intelligent Transportation Systems, 21(7): 2840-2852, 2020. DOI: 10.1109/TITS.2019.2920962

• Wei Wang, Jing Ren, Mubarak Alrashoud, Feng Xia*, Mengyi Mao, Amr Tolba. Early-Stage Reciprocity in Sustainable Scientific Collaboration, Journal of Informetrics, Volume 14, Issue 3, August 2020, 101041, DOI: 10.1016/j.joi.2020.101041

• Xiaomei Bai, Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Feng Xia. Quantifying Success in Science: An Overview, IEEE Access, Vol. 8, 2020, pp: 123200 - 123214. DOI: 10.1109/ACCESS.2020.3007709

• Jun Zhang, Wei Wang, Feng Xia*, Yu-Ru Lin, Hanghang Tong. Data-driven Computational Social Science: A Survey, Big Data Research, Volume 21, September 2020, 100145. DOI: 10.1016/j.bdr.2020.100145

• Fangming Zhong, Zhikui Chen, Geyong Min, Feng Xia. A Novel Strategy to Balance the Results of Cross-Modal Hashing, Pattern Recognition, Volume 107, November 2020, 107523, DOI: 10.1016/j.patcog.2020.107523

• Jianxin Li, Taotao Cai, Ke Deng, Xinjue Wang, Timos Sellis, Feng Xia. Community-diversified Influence Maximization in Social Networks, Information Systems, Volume 92, September 2020, 101522, DOI: 10.1016/j.is.2020.101522

• Xiangjie Kong, Yajie Shi, Wei Wang, Kai Ma, Liangtian Wan and Feng Xia. The Evolution of Turing Award Collaboration Network: Bibliometric-level and Network-level Metrics, IEEE Transactions on Computational Social Systems, 6(6): 1318-1328, 2019. DOI: 10.1109/TCSS.2019.2950445

• Shuo Yu, Feng Xia*, Huan Liu. Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect, IEEE Transactions on Computational Social Systems, 6(5): 1083-1094, Oct 2019. DOI: 10.1109/TCSS.2019.2913460

• Dongyu Zhang, Heting Zhang, Xikai Liu, Hongfei Lin, Feng Xia. Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes, The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 3–7, 2019, Hong Kong, China

• Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin and Feng Xia. Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks, The Web Conference (WWW), San Francisco, USA, May 13-17, 2019

• Xiangjie Kong, Feng Xia*, Kai Ma, Jianxin Li, Qiuyuan Yang. Discovering Transit-Oriented Development Regions of Mega Cities Using Heterogeneous Urban Data, IEEE Transactions on Computational Social Systems, 6(5): 943-955, Oct 2019. DOI: 10.1109/TCSS.2019.2919960

• Jinzhong Wang, Xiangjie Kong, Feng Xia, Lijun Sun. Urban Human Mobility: Data-Driven Modeling and Prediction, ACM SIGKDD Explorations, 2019, 21(1): 1-19. DOI: 10.1145/3331651.3331653

• 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 Transactions on Industrial Informatics, 2020, 16(2): 1436-1444. DOI: 10.1109/TII.2019.2947063

• Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia. Data Mining and Information Retrieval in the 21st Century: A Bibliographic Review, Computer Science Review, Volume 34, November 2019, 100193, DOI: 10.1016/j.cosrev.2019.100193

• Jie Hou, Hanxiao Pan, Teng Guo, Ivan Lee, Xiangjie Kong, Feng Xia. Prediction Methods and Applications in the Science of Science: A Survey, Computer Science Review, Volume 34, November 2019, 100197. DOI: 10.1016/j.cosrev.2019.100197

• Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia*. Academic Social Networks: Modeling, Analysis, Mining and Applications, Journal of Network and Computer Applications, Volume 132, April 2019, Pages 86-103. DOI: 10.1016/j.jnca.2019.01.029

• Wei Wang, Jiaying Liu, Zhuo Yang, Xiangjie Kong, Feng Xia. Sustainable Collaborator Recommendation Based on Conference Closure, IEEE Transactions on Computational Social Systems, 6(2): 311-322, 2019. DOI: 10.1109/TCSS.2019.2898198

• Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, Feng Xia. Scientific Paper Recommendation: A Survey, IEEE Access, 2019, 7(1): 9324-9339, DOI: 10.1109/ACCESS.2018.2890388

• Shuo Yu, Hayat Dino Bedru, Ivan Lee, Feng Xia*. Science of Scientific Team Science: A Survey, Computer Science Review, Volume 31, February 2019, Pages 72-83. DOI: 10.1016/j.cosrev.2018.12.001 

• Xiangjie Kong, Menglin Li, Gaoxing Zhao, Huijie Zhang, and Feng Xia*. COOC: Visual Exploration of Co-occurrence Mobility Patterns in Urban Scenarios, IEEE Transactions on Computational Social Systems, 6(3): 403-413, 2019. DOI: 10.1109/TCSS.2018.2883582

• Jiaying Liu, Jiahao Tian, Xiangjie Kong, Ivan Lee, Feng Xia*. Two decades of information systems: a bibliometric review, Scientometrics, 118(2), 617-643, 2019. DOI: 10.1007/s11192-018-2974-5

• Liwei Cai, Jiahao Tian, Jiaying Liu, Xiaomei Bai, Ivan Lee, Xiangjie Kong, Feng Xia. Scholarly impact assessment: a survey of citation weighting solutions, Scientometrics, 118(2): 453–478, 2019. DOI: 10.1007/s11192-018-2973-6

• Xiangjie Kong, Feng Xia*, Zhaolong Ning, Azizur Rahim, Yinqiong Cai, Zhiqiang Gao, Jianhua Ma. Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data, IEEE Transactions on Vehicular Technology, 2018, 67(5): 3874-3886. DOI: 10.1109/TVT.2017.2788441 (IEEE Vehicular Technology Society Best Land Transportation Paper Award)

• Zhibo Wang, Yongquan Zhang, Honglong Chen, Zhetao Li, Feng Xia. Deep User Modeling for Content-based Event Recommendation in Event-based Social Networks, IEEE Conference on Computer Communications (INFOCOM), Honolulu, USA, April 2018.

• Xiangjie Kong, Menglin Li, Kai Ma, Kaiqi Tian, Mengyuan Wang, Zhaolong Ning, Feng Xia*. Big Trajectory Data: A Survey of Applications and Services, IEEE Access, Volume 6, pp: 58295-58306, October 2018. DOI: 10.1109/ACCESS.2018.2873779

• Xiangjie Kong, Menglin Li, Tao Tang, Kaiqi Tian, Luis Moreira-Matias, and Feng Xia*. Shared Subway Shuttle Bus Route Planning Based on Transport Data Analytics, IEEE Transactions on Automation Science and Engineering, Volume: 15 Issue: 4, 2018, pp: 1507-1520. DOI: 10.1109/TASE.2018.2865494

• Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, and Feng Xia*. A Survey of Scholarly Data Visualization, IEEE Access, 2018, 6(1): 19205-19221. DOI: 10.1109/ACCESS.2018.2815030

• Feng Xia, Jinzhong Wang, Xiangjie Kong, Zhibo Wang, Jianxin Li, and Chengfei Liu. Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective, IEEE Communications Magazine, 56(3): 142 – 149, 2018. DOI: 10.1109/MCOM.2018.1700242

• Feng Xia, Azizur Rahim, Xiangjie Kong, Meng Wang, Yinqiong Cai, and Jinzhong Wang. Modeling and Analysis of Large-scale Urban Mobility for Green Transportation, IEEE Transactions on Industrial Informatics, 2018, 14(4): 1469-1481. DOI: 10.1109/TII.2017.2785383

• Shuo Yu, Feng Xia, Kaiyuan Zhang, Zhaolong Ning, Jiaofei Zhong and Chengfei Liu. Team Recognition in Big Scholarly Data: Exploring Collaboration Intensity, The 3rd IEEE International Conference on Big Data Intelligence and Computing (DataCom), Orlando, Florida, USA, November 6-10, 2017  (Best Paper Award)

• Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong. Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data, The 26th International World Wide Web Conference (WWW), Perth, Australia, 3-7 April 2017.

• Wei Wang, Zixin Cui, Tong Gao, Shuo Yu, Xiangjie Kong, Feng Xia. Is scientific collaboration sustainability predictable? The 26th International World Wide Web Conference (WWW), Poster Track, Perth, Australia, 3-7 April 2017.

• Jianxin Li, Chengfei Liu, Lu Chen, Zhenying He, Amitava Datta, Feng Xia. iTopic: Influential Topic Discovery from Information Networks via Keyword Query, The 26th International World Wide Web Conference (WWW), Demo Track, Perth, Australia, 3-7 April 2017. (Best Demo Award)

• Ivan Lee, Feng Xia, Göran Roos. An Observation of Research Complexity in Top Universities Based on Research Publications, The 26th International World Wide Web Conference (WWW), Companion Volume, Perth, Australia, 3-7 April 2017.

• Zhibo Wang, Yongquan Zhang, Yijie Li, Qian Wang, Feng Xia. Exploiting Social Influence for Context-Aware Event Recommendation in Event-based Social Networks, IEEE International Conference on Computer Communications (INFOCOM), 1-4 May 2017, Atlanta, GA, USA

• Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, and Wei Wang. Socially-Aware Conference Participant Recommendation with Personality Traits, IEEE Systems Journal, 11(4): 2255-2266, 2017. DOI: 10.1109/JSYST.2014.2342375

• Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Feng Xia. A High-Order Possibilistic C-Means Algorithm for Clustering Incomplete Multimedia Data, IEEE Systems Journal, 11(4): 2160-2169, 2017. DOI: 10.1109/JSYST.2015.2423499

• Xiangjie Kong, Feng Xia*, Jinzhong Wang, Azizur Rahim, and Sajal K. Das. Time-Location-Relationship Combined Service Recommendation Based on Taxi Trajectory Data, IEEE Transactions on Industrial Informatics, Vol.13, No. 3, pp: 1202-1212, 2017. DOI: 10.1109/TII.2017.2684163

• Wei Wang, Shuo Yu, Teshome Megersa Bekele, Xiangjie Kong, Feng Xia. Scientific collaboration patterns vary with scholars' academic ages. Scientometrics, Vol. 112, No. 1, pp: 329-343, 2017. DOI: 10.1007/s11192-017-2388-9 (featured in Nature Index)

• Feng Xia, Wei Wang, Teshome Megersa Bekele, Huan Liu. Big Scholarly Data: A Survey, IEEE Transactions on Big Data, Vol. 3, No. 1, 2017, pp: 18 - 35. DOI: 10.1109/TBDATA.2016.2641460

• Haifeng Liu, Feng Xia*, Zhen Chen, Nana Yaw Asabere, Jianhua Ma, and Runhe Huang. TruCom: Exploiting Domain-Specific Trust Networks for Multi-Category Item Recommendation, IEEE Systems Journal, Vol. 11, No. 1, pp: 295-304, 2017, DOI: 10.1109/JSYST.2015.2427193

• Jun Zhang, Zhaolong Ning, Xiaomei Bai, Wei Wang, Shuo Yu and Feng Xia. Who are the Rising Stars in Academia? ACM/IEEE Joint Conference on Digital Libraries (JCDL), Newark, NJ, USA, June 19-23, 2016.

• Jun Zhang, Feng Xia, Wei Wang, Xiaomei Bai, Shuo Yu, Teshome Megersa Bekele and Zhong Peng. CocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars, The 25th International World Wide Web Conference (WWW), Companion Volume, Montreal, Canada, April 11-15, 2016.

• Xiaomei Bai, Jun Zhang, Hai Cui, Zhaolong Ning, Feng Xia. PNCOIRank: Evaluating the Impact of Scholarly Articles with Positive and Negative Citations, The 25th International World Wide Web Conference (WWW), Poster Track, Montreal, Canada, April 11-15, 2016.

• Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao. Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences, IEEE Transactions on Big Data, Vol. 2, No. 2, June 2016, pp: 101 - 112. DOI: 10.1109/TBDATA.2016.2555318

• Zhen Chen, Feng Xia, Huizhen Jiang, Haifeng Liu, Jun Zhang. AVER: Random Walk Based Academic Venue Recommendation, the 24th International World Wide Web Conference (WWW), Companion Volume, Florence, Italy, May 18-22, 2015

• Feng Xia, Haifeng Liu, Nana Yaw Asabere, Wei Wang and Zhuo Yang. Multi-Category Item Recommendation Using Neighborhood Associations in Trust Networks, The 23rd International World Wide Web Conference (WWW), Poster Track, Seoul, Korea, April 7-11, 2014.

• Feng Xia, Zhen Chen, Wei Wang, Jing Li, Laurence T. Yang. MVCWalker: Random Walk Based Most Valuable Collaborators Recommendation Exploiting Academic Factors, IEEE Transactions on Emerging Topics in Computing, 2(3): 364-375, 2014; DOI: 10.1109/TETC.2014.2356505

• Nana Yaw Asabere, Feng Xia*, Wei Wang, Joel J.P.C. Rodrigues, Filippo Basso, and Jianhua Ma. Improving Smart Conference Participation through Socially-Aware Recommendation, IEEE Transactions on Human-Machine Systems, 44(5): 689-700, 2014. DOI: 10.1109/THMS.2014.2325837