Ciyuan Peng

According to our database, Ciyuan Peng authored at least 31 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification.

Dexuan Ding, Ciyuan Peng, Endrowednes Kuantama, Jingcai Guo, Jia Wu, Jian Yang, Amin Beheshti, Ming-Hsuan Yang, Yuankai Qi

CoRR, January, 2026

Learning on Multimodal Graphs.

Ciyuan Peng, Estrid He, Feng Xia

IEEE Intell. Syst., 2026

Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation.

Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee, Xiangjie Kong

Proceedings of the ACM Web Conference 2026, 2026

2025

NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis.

Tianqi Guo, Liping Chen, Ciyuan Peng, Jingjing Zhou, Jing Ren

CoRR, October, 2025

Brain PathoGraph Learning.

Ciyuan Peng, Nguyen Linh Dan Le, Shan Jin, Dexuan Ding, Shuo Yu, Feng Xia

CoRR, September, 2025

Joint Structural-Functional Brain Graph Transformer.

Ciyuan Peng, Huafei Huang, Tianqi Guo, Chengxuan Meng, Jingjing Zhou, Wenhong Zhao, Ruwan B. Tennakoon, Feng Xia

ACM Trans. Intell. Syst. Technol., June, 2025

BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization.

Nguyen Linh Dan Le, Jing Ren, Ciyuan Peng, Chengyao Xie, Bowen Li, Feng Xia

CoRR, June, 2025

mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer.

Ciyuan Peng, Tianqi Guo, Chengyao Xie, Xiaomei Bai, Jingjing Zhou, Xiaohui Zhao, Estrid He, Feng Xia

IEEE Trans. Consumer Electron., May, 2025

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection.

Saba Fathi Rabooki, Bowen Li, Falih Gozi Febrinanto, Ciyuan Peng, Elham Naghizade, Fengling Han, Feng Xia

CoRR, January, 2025

Graph Learning.

Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong

Found. Trends Signal Process., 2025

Biologically Plausible Brain Graph Transformer.

Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Physics-Informed Explainable Continual Learning on Graphs.

Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, Charu C. Aggarwal

IEEE Trans. Neural Networks Learn. Syst., September, 2024

From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis.

Ke Sun, Ciyuan Peng, Shuo Yu, Zhuoyang Han, Feng Xia

IEEE Intell. Syst., 2024

Graph Transformers: A Survey.

Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor

CoRR, 2024

Learning on Multimodal Graphs: A Survey.

Ciyuan Peng, Jiayuan He, Feng Xia

CoRR, 2024

Stage-aware Brain Graph Learning for Alzheimer's Disease.

Ciyuan Peng, Mujie Liu, Chenxuan Meng, Sha Xue, Kathleen Keogh, Feng Xia

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Adaptive Brain Network Augmentation Based on Group-aware Graph Learning.

Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection.

Chengyao Xie, Wenhao Zhou, Ciyuan Peng, Azadeh Noori Hoshyar, Chengpei Xu, Usman Naseem, Feng Xia

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Knowledge Graphs: Opportunities and Challenges.

Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne

Artif. Intell. Rev., November, 2023

The Effect of Facial Perception and Academic Performance on Social Centrality.

Dongyu Zhang, Ciyuan Peng, Xiaojun Chang, Feng Xia

IEEE Trans. Comput. Soc. Syst., 2023

Quantum Graph Learning: Frontiers and Outlook.

Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock

CoRR, 2023

Web of Conferences: A Conference Knowledge Graph.

Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Physics-Informed Graph Learning: A Survey.

Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu

CoRR, 2022

Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing.

Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Feng Xia

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Abnormal Entity-Aware Knowledge Graph Completion.

Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Physics-Informed Graph Learning.

Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Knowledge graph-based metaphor representation for literature understanding.

Ciyuan Peng, Dang-Thinh Vu, Jason J. Jung

Digit. Scholarsh. Humanit., 2021

Interpretation of metaphors in Chinese poetry: Where did Li Bai place his emotions?

Ciyuan Peng, Jason J. Jung

Digit. Scholarsh. Humanit., 2021

Metaphor research in the 21st century: A bibliographic analysis.

Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Jason J. Jung, Feng Xia

Comput. Sci. Inf. Syst., 2021

In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features.

Dongyu Zhang, Minghao Zhang, Teng Guo, Ciyuan Peng, Vidya Saikrishna, Feng Xia

Proceedings of the International Joint Conference on Neural Networks, 2021

MAM: A Metaphor-Based Approach for Mental Illness Detection.

Dongyu Zhang, Nan Shi, Ciyuan Peng, Abdul Aziz, Wenhong Zhao, Feng Xia

Proceedings of the Computational Science - ICCS 2021, 2021