MAM: A Metaphor-Based Approach for Mental Illness Detection. - Dongyu Zhang 001; Nan Shi; Ciyuan Peng; Abdul Aziz; Wenhong Zhao; Feng Xia 001 (ICCS (3), 2021)

In Your Face: Sentiment Analysis of Metaphor with Facial Expressive Features. - Dongyu Zhang 001; Minghao Zhang; Teng Guo; Ciyuan Peng; Vidya Saikrishna; Feng Xia 001 (IJCNN, 2021)

Metaphor research in the 21st century: A bibliographic analysis. - Dongyu Zhang 001; Minghao Zhang; Ciyuan Peng; Jason J. Jung; Feng Xia 001 (Comput. Sci. Inf. Syst., 2021)

Interpretation of metaphors in Chinese poetry: Where did Li Bai place his emotions? - Ciyuan Peng; Jason J. Jung (Digit. Scholarsh. Humanit., 2021)

Knowledge graph-based metaphor representation for literature understanding. - Ciyuan Peng; Dang-Thinh Vu; Jason J. Jung (Digit. Scholarsh. Humanit., 2021)

Physics-Informed Graph Learning. - Ciyuan Peng; Feng Xia 001; Vidya Saikrishna; Huan Liu 001 (ICDM (Workshops), 2022)

Abnormal Entity-Aware Knowledge Graph Completion. - Ke Sun 011; Shuo Yu 001; Ciyuan Peng; Xiang Li; Mehdi Naseriparsa; Feng Xia 001 (ICDM (Workshops), 2022)

Expressing Metaphorically, Writing Creatively: Metaphor Identification for Creativity Assessment in Writing. - Dongyu Zhang 001; Minghao Zhang; Ciyuan Peng; Feng Xia 001 (WWW (Companion Volume), 2022)

Physics-Informed Graph Learning: A Survey. - Ciyuan Peng; Feng Xia 001; Vidya Saikrishna; Huan Liu 001 (CoRR, 2022)

Web of Conferences: A Conference Knowledge Graph. - Shuo Yu 001; Ciyuan Peng; Chengchuan Xu; Chen Zhang; Feng Xia 001 (WSDM, 2023)

Quantum Graph Learning: Frontiers and Outlook. - Shuo Yu 001; Ciyuan Peng; Yingbo Wang; Ahsan Shehzad; Feng Xia 001; Edwin R. Hancock (CoRR, 2023)

The Effect of Facial Perception and Academic Performance on Social Centrality. - Dongyu Zhang 001; Ciyuan Peng; Xiaojun Chang; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Knowledge Graphs: Opportunities and Challenges. - Ciyuan Peng; Feng Xia 001; Mehdi Naseriparsa; Francesco Osborne (Artif. Intell. Rev., 2023)

Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection. - Chengyao Xie; Wenhao Zhou; Ciyuan Peng; Azadeh Noori Hoshyar; Chengpei Xu; Usman Naseem; Feng Xia 001 (AI (2), 2024)

Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. - Ciyuan Peng; Mujie Liu; Chenxuan Meng; Shuo Yu 001; Feng Xia 001 (Tiny Papers @ ICLR, 2024)

Learning on Multimodal Graphs: A Survey. - Ciyuan Peng; Jiayuan He 002; Feng Xia 001 (CoRR, 2024)

Graph Transformers: A Survey. - Ahsan Shehzad; Feng Xia 001; Shagufta Abid; Ciyuan Peng; Shuo Yu 001; Dongyu Zhang 001; Karin Verspoor (CoRR, 2024)

From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis. - Ke Sun 011; Ciyuan Peng; Shuo Yu 001; Zhuoyang Han; Feng Xia 001 (IEEE Intell. Syst., 2024)

Physics-Informed Explainable Continual Learning on Graphs. - Ciyuan Peng; Tao Tang 007; Qiuyang Yin; Xiaomei Bai; Suryani Lim; Charu C. Aggarwal (IEEE Trans. Neural Networks Learn. Syst., 2024)

Biologically Plausible Brain Graph Transformer. - Ciyuan Peng; Yuelong Huang; Qichao Dong; Shuo Yu 001; Feng Xia 001; Chengqi Zhang; Yaochu Jin (ICLR, 2025)

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection. - Saba Fathi Rabooki; Bowen Li 012; Falih Gozi Febrinanto; Ciyuan Peng; Elham Naghizade; Fengling Han; Feng Xia 001 (CoRR, 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 001 (IEEE Trans. Consumer Electron., 2025)

BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization. - Nguyen Linh Dan Le; Jing Ren 001; Ciyuan Peng; Chengyao Xie; Bowen Li 012; Feng Xia 001 (CoRR, 2025)

Joint Structural-Functional Brain Graph Transformer. - Ciyuan Peng; Huafei Huang; Tianqi Guo; Chengxuan Meng; Jingjing Zhou; Wenhong Zhao; Ruwan B. Tennakoon; Feng Xia 001 (ACM Trans. Intell. Syst. Technol., 2025)

Graph Learning. - Feng Xia 001; Ciyuan Peng; Jing Ren 001; Falih Gozi Febrinanto; Renqiang Luo; Vidya Saikrishna; Shuo Yu 001; Xiangjie Kong 001 (CoRR, 2025)