📃Selected Publications

2025

• Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, and Yaochu Jin. "Biologically Plausible Brain Graph Transformer." ICLR 2025. Paper

• 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, 2024. Paper 

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 (IF: 10.9).

• 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)

• Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia. Adaptive Brain Network Augmentation based on Group-aware Graph Learning, ICLR 2024 (Tiny Papers Track), 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

• 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, 2024 (IF: 10.2).

2023

• Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne. Knowledge Graphs: Opportunities and Challenges, Artificial Intelligence Review, 2023 (IF: 11.7). 

• 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

2022

• 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.

• 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. 

2021

• 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.

• Ciyuan Peng, Dang Thinh Vu, and Jason J. Jung. "Knowledge graph-based metaphor representation for literature understanding." Digital Scholarship in the Humanities, 2021. 

• 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. 

• 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