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Author

Peng Cao

Observed name: Cao, Peng
ORCID: 0000-0002-7859-2769
Observed ORCID: 0000-0002-7859-2769
OpenAlex ID: A5128727915
BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling
2026 · Guiliang Guo, Guangqi Wen, et al. · Lecture notes in computer science
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Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
2026 · Jingfeng Tang, Peng Cao, et al. · Lecture notes in computer science
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Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
2026 · Siyu Liu, Guangqi Wen, et al. · Lecture notes in computer science
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MEGSA: Adaptive Motif-Level Structural Alignment for Graph Similarity Learning
2026 · Zhuolin Jia, Guangqi Wen, et al. · Lecture notes in computer science
Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation
2026 · Zhiqiang Shen, Qingshan Hou, et al. · Artificial Intelligence in Medicine
Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning
2026 · Association for Computational Linguistics 2026, Cao, Peng, et al. · Underline Science Inc.
EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks
2026 · Li, Yihang, Wei, Xuelong, et al. · arXiv (Cornell University)
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JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy
2026 · Zhang, Tianle, Yuan, Zhihao, et al. · arXiv (Cornell University)
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IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis
2026 · Wang, Chongxiao, Liang, Junjie, et al. · arXiv (Cornell University)
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BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis
2026 · Li, Xiaolong, Guo, Guiliang, et al. · arXiv (Cornell University)
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DisNet : Learning interpretable depression representations in speech
2026 · Wenju Yang, Peng Cao, et al. · Neural Networks
Structure-Aware Self-supervised Graph Representation Learning
2026 · Lingwen Liu, Peng Cao, et al. · Lecture notes in computer science
From Emotion to Depression: How to leverage Emotional Representations for Multimodal Depression Diagnosis?
2026 · Junjie Liang, Peng Cao, et al. · IEEE Transactions on Affective Computing
MoDEpression: Exploring Individual Differences in Personalized Depression Diagnosis Using Mixture-of-Expert
2026 · Junjie Liang, Peng Cao, et al. · IEEE Transactions on Multimedia
Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning
2026 · Zhenguang Wang, Bo Li, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 15
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