“Before you speak, listen. Before you write, think. Before you quit, try. ” - William Arthur Ward
“Before you speak, listen. Before you write, think. Before you quit, try. ” - William Arthur Ward
Google Scholar Profile: https://scholar.google.com/citations?user=HDFA2VYAAAAJ
Jing Ren, Tao Tang, Hong Jia, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia. Foundation Models for Anomaly Detection: Vision and Challenges, arXiv:2502.06911
Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia. Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning, arXiv:2501.01124
Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor. Graph Transformers: A Survey. arXiv:2407.09777
Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang. Algorithmic Fairness: A Tolerance Perspective, arXiv:2405.09543
Jing Ren, Feng Xia. Brain-inspired Artificial Intelligence: A Comprehensive Review. arXiv:2408.14811
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
Wenchao Weng, Mei Wu, Hanyu Jiang, Wanzeng Kong, Xiangjie Kong, and Feng Xia. Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction, IEEE Transactions on Intelligent Transportation Systems, 2025. DOI: 10.1109/TITS.2025.3564564
Shuo Yu, Yicong Li, Shuo Wang, Tao Tang, Qiang Zhang, Jingjing Zhou, Ivan Lee, and Feng Xia. CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems, ACM Transactions on Information Systems, 2025. DOI: 10.1145/3729224
Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia. Factor Graph-based Interpretable Neural Networks, The Thirteenth International Conference on Learning Representations (ICLR), 24-28 Apr 2025, Singapore
Zhenhua Huang, Wenhao Zhou, Yufeng Li, Xiuyang Wu, Chengpei Xu, Junfeng Fang, Zhaohong Jia, Linyuan Lü, Feng Xia. SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks, The ACM Web Conference (WWW), Sydney, Australia, 28 April - 2 May 2025
Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang. Revisiting Dynamic Graph Clustering via Matrix Factorization, The ACM Web Conference (WWW), Sydney, Australia, 28 April - 2 May 2025
Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, and Feng Xia. HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs, The ACM Web Conference (WWW), Emerging World Track, Sydney, Australia, 28 April - 2 May 2025
Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia. FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning, 39th Annual AAAI Conference on Artificial Intelligence (AAAI), February 25 - March 4, 2025, Philadelphia, Pennsylvania, USA
Shuo Yu, Yingbo Wang, Zhitao Wan, Yanming Shen, Qiang Zhang, Feng Xia*. Path-aware Few-shot Knowledge Graph Completion, IEEE Transactions on Artificial Intelligence, 2025. DOI: 10.1109/TAI.2025.3540796
Chengpei Xu, Wenhao Zhou, Zhixiong Huang, Yuanfang Zhang, Yan Zhang, Weimin Wang, Feng Xia*. Fusion-based graph neural networks for synergistic underwater image enhancement, Information Fusion, Volume 117, 2025, 102857. DOI: 10.1016/j.inffus.2024.102857.
Zhi Liu, Hanlin Zhou, Xiaohua He, Haopeng Yuan, Jiaxin Du, Mengmeng Wang, Guojiang Shen, Xiangjie Kong, and Feng Xia. Model-Heterogeneous Federated Graph Learning with Prototype Propagation, IEEE Transactions on Artificial Intelligence, 2024. DOI: 10.1109/TAI.2024.3490557
Junjian Li, Honglong Chen, Zhe Li, Anqing Zhang, Xiaomeng Wang, Xingang Wang, and Feng Xia. Generative Adversarial Network Based Image-Scaling Attack and Defense Modeling, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. DOI: 10.1109/TETCI.2024.3418822
Shuo Yu, Feng Xia*, Honglong Chen, Ivan Lee, Lianhua Chi, Hanghang Tong. Heterogeneous Network Motif Coding, Counting, and Profiling, ACM Transactions on Knowledge Discovery from Data, 2024. DOI: 10.1145/3687465
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, 25-29 August 2024
Liangtian Wan, Huijin Han, Lu Sun, Zixun Zhang, Zhaolong Ning, Xiaoran Yan, Feng Xia. Flexible Graph Neural Diffusion with Latent Class Representation Learning, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, 25-29 August 2024
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia. FairGT: A Fairness-aware Graph Transformer, The 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju Island, South Korea, 3-9 August 2024
Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng. Enhancing Length Generalization for Attention based Knowledge Tracing Models with Linear Biases, The 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju Island, South Korea, 3-9 August 2024
Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia. Anomalous Citations Detection in Academic Networks, Artificial Intelligence Review, 2024, Vol. 57, article number 103. DOI: 10.1007/s10462-023-10655-5
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. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00182 (Best Paper Award)
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
Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia. EchoGPT: An Interactive Cardiac Function Assessment Large Language Model for Echocardiogram Videos, the 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16 - 22, 2025.
Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu, Hongfei Lin, Feng Xia. SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer’s Disease Detection, the 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16 - 22, 2025.
Falih Gozi Febrinanto, Adonia Simango, Chengpei Xu, Jingjing Zhou*, Jiangang Ma, Sonika Tyagi, Feng Xia*. Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification, Artificial Intelligence Review, 2025. DOI: 10.1007/s10462-025-11231-9
Mehdi Naseriparsa, Suku Sukunesan, Zhen Cai, Osama Alfarraj, Amr Tolba, Saba Fathi Rabooki, Feng Xia. ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification, Artificial Intelligence Review, 2025. DOI: 10.1007/s10462-025-11244-4
Ciyuan Peng, Huafei Huang, Tianqi Guo, Chengxuan Meng, Jingjing Zhou, Wenhong Zhao, Ruwan Tennakoon, and Feng Xia*. Joint Structural-Functional Brain Graph Transformer, ACM Transactions on Intelligent Systems and Technology, 2025. DOI: 10.1145/3729243
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia*, Chengqi Zhang, Yaochu Jin*. Biologically Plausible Brain Graph Transformer, The Thirteenth International Conference on Learning Representations (ICLR), 24-28 Apr 2025, Singapore
Ahsan Shehzad, Dongyu Zhang, Shuo Yu, Shagufta Abid, Dinesh Kant Kumar, Feng Xia. Multiscale Graph Transformer for Brain Disorder Diagnosis, IEEE Transactions on Consumer Electronics, 2025. DOI: 10.1109/TCE.2025.3542794
Ahsan Shehzad, Dongyu Zhang, Shuo Yu, Shagufta Abid, Feng Xia. Dynamic Graph Transformer for Brain Disorder Diagnosis, IEEE Journal of Biomedical and Health Informatics, 2025. DOI: 10.1109/JBHI.2025.3538040
Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia. Long-range Brain Graph Transformer, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 10 - 15 December 2024.
Bo Xu, Ruiyuan Wang, Lingfan Ping, Chaoyue Zhu, Xiaoxia Liu, Hongfei Lin, Linlin Tian, and Feng Xia. MAT: Medical AI-generated Text Detection Dataset from Multi-models and Multi-Methods, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 3-6 Dec 2024, Lisbon, Portugal.
Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto, Azadeh Noori Hoshyar, and Feng Xia. Motif-induced Subgraph Generative Learning for Explainable Neurological Disorder Detection, Australasian Joint Conference on Artificial Intelligence (AJCAI), Melbourne, Australia, 25 - 29 Nov 2024.
Chengyao Xie, Wenhao Zhou, Ciyuan Peng, Azadeh Noori Hoshyar, Chengpei Xu, Usman Naseem, Feng Xia. Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection, Australasian Joint Conference on Artificial Intelligence (AJCAI), Melbourne, Australia, 25 - 29 Nov 2024. (Best Student Paper Award)
Ciyuan Peng, Tianqi Guo, Chengyao Xie, Xiaomei Bai, Jingjing Zhou, Xiaohui Zhao, Estrid He, Feng Xia. mBGT: Encoding Brain Networks with Multimodal Brain Graph Transformer, IEEE Transactions on Consumer Electronics, 2024. DOI: 10.1109/TCE.2024.3425478
Ciyuan Peng, Mujie Liu, Chenxuan Meng, Sha Xue, Kathleen Keogh, Feng Xia. Stage-aware Brain Graph Learning for Alzheimer’s Disease, The 2024 IEEE Conference on Artificial Intelligence (CAI), 25-27 June 2024, Singapore
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
Xiangjie Kong, Zhenghao Chen, Weiyao Liu, Kaili Ning, Lechao Zhang, Syauqie Muhammad Marier, Yichen Liu, Yuhao Chen, Feng Xia*. Deep Learning for Time Series Forecasting: A Survey, International Journal of Machine Learning and Cybernetics, 2025. DOI: 10.1007/s13042-025-02560-w
Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang. Seeing Text in the Dark: Algorithm and Benchmark, ACM International Conference on Multimedia (MM), 28 October - 1 November 2024, Melbourne, Australia.
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, and Ivan Lee. SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation. Engineering Applications of Artificial Intelligence, 136: 109030, 2024. DOI: 10.1016/j.engappai.2024.109030
Guoxin Li, Honglong Chen, Liantao Wu, Xuejian Chi, Junmei Yao, Feng Xia, Jiguo Yu. Efficient Deployment and Scheduling of Shared VNF Instances in Mobile Edge Computing Networks, IEEE Internet of Things Journal, 2024. DOI: 10.1109/JIOT.2024.3424575
Yudong Gao, Honglong Chen, Junjian Li, Xinggang Wang, Abdullah Alharbi, Amr Tolba, Feng Xia. Frequency is Devious: Deep Stealthy Backdoor in Artificial Intelligence Based Consumer Internet of Things, IEEE Transactions on Consumer Electronics, 2024, DOI: 10.1109/TCE.2024.3399475
Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia. Few-shot Semantic Segmentation for Consumer Electronics: An Inter-class Relation Mining Approach, IEEE Transactions on Consumer Electronics, 70(1): 3709-3721, 2024. DOI: 10.1109/TCE.2024.3373630
Xiaolong Liu, Honglong Chen, Yuping Liu, Wentao Wei, Huansheng Xue, Feng Xia. Multitask Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing, IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16845-16858, 2024, doi: 10.1109/JIOT.2024.3364239.
Huansheng Xue, Honglong Chen, Zhichen Ni, Xiaolong Liu, and Feng Xia. Towards Maximizing Coverage of Targets for WRSNs by Multiple Chargers Scheduling, IEEE Transactions on Mobile Computing, 2024. DOI: 10.1109/TMC.2024.3369054
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.
Wenfeng Zhou, Guojiang Shen, Yimei Zhang, Zhaolin Deng, Xiangjie Kong, Feng Xia. Sequence-to-Sequence Traffic Missing Data Imputation via Self-Supervised Contrastive Learning, IEEE Transactions on Intelligent Transportation Systems, 2025. DOI: 10.1109/TITS.2025.3564578
Zhen Qian, Xiuzhen Zhang, Xiaofei Xu, Feng Xia. Teaching Large Language Models Number-Focused Headline Generation With Key Element Rationales, Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Albuquerque, New Mexico, USA, April 29 – May 4, 2025
Teng Guo, Yu Qin, Yubin Xia, Mingliang Hou, Zitao Liu, Feng Xia and Weiqi Luo. Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data, The ACM Web Conference (WWW), Web4Good Track, Sydney, Australia, 28 April - 2 May 2025
Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao and Feng Xia. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory, The ACM Web Conference (WWW), Short Papers Track, Sydney, Australia, 28 April - 2 May 2025
Xingyuan Lu, Yuxi Liu, Dongyu Zhang, Zhiyao Wu, Jing Ren, Feng Xia. EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors, The ACM Web Conference (WWW), Emerging World Track, Sydney, Australia, 28 April - 2 May 2025
Bo Xu, Junzhe Zheng, Jiayuan He, Yuxuan Sun, Hongfei Lin, Liang Zhao, Feng Xia. Generating Multimodal Metaphorical Features for Meme Understanding, ACM International Conference on Multimedia (MM), 28 October - 1 November 2024, Melbourne, Australia.
Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, Selena Firmin, and Feng Xia. Deepfake video detection: challenges and opportunities. Artificial Intelligence Review, 57(6): 1-47, 2024. DOI: 10.1007/s10462-024-10810-6
Bo Xu, Longjiao Li, Wei Luo, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, and Feng Xia. Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Torino, Italy, 20-25 May 2024.
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