Ciyuan Peng, Ziyan Kong, Qing Qing, Ziqi Xu, Xikun Zhang, Ke Sun, Renqiang Luo, Feng Xia. BrainGP: Localizing Disease-Related Functional Regions for Autism Spectrum Disorder. IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM) (CCF B).Â
Chengyao Xie, Qi Liu, Shuo Yu, Yanli Xie, Ciyuan Peng, Xin Zheng, Xinshu Li, Adil Bagirov, Feng Xia. Multiscale Hypergraph Dynamic Autoencoders for Whole-Brain Activity Prediction. IEEE International Conference on Digital Health (ICDH). [Link]
Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee, Xiangjie Kong. Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation. The ACM Web Conference (WWW) (CCF A). [Link]
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong. Graph Learning.  Foundations and Trends® in Signal Processing. [Link]
Ciyuan Peng, Estrid He, Feng Xia. Learning on Multimodal Graphs. IEEE Intelligent Systems, 2026 (IF: 4.5). [Link]
Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor. Graph Transformers: A Survey. IEEE Transactions on Neural Networks and Learning Systems, 2026 (IF: 9.7, Q1). [Link]
Saba Fathi Rabooki, Bowen Li, Falih Gozi Febrinanto, Ciyuan Peng, Elham Naghizade, Fengling Han, Feng Xia. GraphDART: Graph distillation for efficient advanced persistent threat detection. IEEE Transactions on Computational Social Systems (IF: 4.6, Q1). [Link]
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, and Yaochu Jin. Biologically Plausible Brain Graph Transformer. International Conference on Learning Representations (ICLR) (CCF A). [Link]
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 (IF: 10.7, Q1). [Link]
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). [Link]
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 (IF: 10.9, Q1). [Link]
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 (Travel Grant). [Link]
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) (CCF A), Vienna Austria, May 7-11, 2024. [Link]
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. [Link]
Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, and Charu C. Aggarwal. "Physics-Informed Explainable Continual Learning on Graphs." IEEE Transactions on Neural Networks and Learning Systems (IF: 10.2, Q1). [Link]
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne. Knowledge Graphs: Opportunities and Challenges, Artificial Intelligence Review (IF: 11.7, Q1) (Highly Cited Paper). [Link]
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. [Link]
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. [Link]
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 (WWW), Companion, April 25–29, 2022, Virtual Event, Lyon, France.[Link]
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 (IF: 4.6, Q1). [Link]
Ciyuan Peng and Jason J. Jung. "Interpretation of metaphors in Chinese poetry: Where did Li Bai place his emotions?." Digital Scholarship in the Humanities, 2021. [Link]Â
Ciyuan Peng, Dang Thinh Vu, and Jason J. Jung. "Knowledge graph-based metaphor representation for literature understanding." Digital Scholarship in the Humanities, 2021. [Link]
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. [Link]
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. [Link]