Shangde Gao

According to our database, Shangde Gao authored at least 27 papers between 2017 and 2026.

Collaborative distances:

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

2026

LLM-SDaT: A knowledge-informed LLM framework for syndrome differentiation in TCM.

Bingtao Guan, Shangde Gao, Dawei Zheng, Haoxiang Xia, Zhiyuan Wu, Jian Wu, Hongxia Xu

Neural Networks, 2026

2025

Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization.

Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen

CoRR, December, 2025

R²Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection.

Shuaike Shen, Ke Liu, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao

CoRR, November, 2025

Enhancing Demand-Oriented Regionalization with Agentic AI and Local Heterogeneous Data for Adaptation Planning.

Seyedeh Mobina Noorani, Shangde Gao, Changjie Chen, Karla Saldana Ochoa

CoRR, November, 2025

Learning Individual Movement Shifts After Urban Disruptions with Social Infrastructure Reliance.

Shangde Gao, Zelin Xu, Zhe Jiang

CoRR, October, 2025

Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors.

Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Uncertainty-Aware Multi-expert Knowledge Distillation for Imbalanced Disease Grading.

Shuo Tong, Shangde Gao, Ke Liu, Zihang Huang, Hongxia Xu, Haochao Ying, Jian Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Probabilistic Integration of Renal Cancer Radiology and Pathology Using Graph Neural Networks.

Shangqi Gao, Shangde Gao, Inês Machado, Mireia Crispin-Ortuzar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System.

Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu

Proceedings of the International Joint Conference on Neural Networks, 2025

Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models.

Ke Liu, Shangde Gao, Yichao Fu, Xiaoliang Wu, Shuo Tong, Ajitha Rajan, Hao Xu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Universal Periodicity Injection Module for Crystal Property Prediction.

Yichao Fu, Ke Liu, Shangde Gao, Lai Wei, Te Qiao, Chao Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Learning Individual Movement Shifts After Urban Disruptions with Social Infrastructure Reliance.

Shangde Gao, Zelin Xu, Zhe Jiang

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

A periodicity aware transformer for crystal property prediction.

Ke Liu, Kaifan Yang, Shangde Gao

Neural Comput. Appl., April, 2024

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning.

Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han

Inf. Sci., 2024

KA²ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation.

Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu

Proceedings of the Comprehensive Analysis and Computing of Real-World Medical Images, 2024

2023

Unified Matrix Factorization with Dynamic Multi-view Clustering.

Shangde Gao, Ke Liu, Yichao Fu

CoRR, 2023

Investigating the Dynamics of Social Norm Emergence within Online Communities.

Shangde Gao, Yan Wang, My T. Thai

CoRR, 2023

PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals.

Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han

Proceedings of the International Joint Conference on Neural Networks, 2023

Contrastive Knowledge Amalgamation for Unsupervised Image Classification.

Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Causal Modeling of Descriptive Social Norms from Twitter and the Physical World on Expressed Attitudes Change: A Case Study of COVID-19 Vaccination.

Shangde Gao, Yan Wang, Gregory D. Webster

Cyberpsychology Behav. Soc. Netw., 2022

Exploring Feature Coupling for Multiple Operations Type and Order Detection.

Shangde Gao, Jiaxin Chen, Xin Liao

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

2021

Interest-oriented Universal User Representation via Contrastive Learning.

Qinghui Sun, Jie Gu, Bei Yang, Xiaoxiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu

CoRR, 2021

Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19.

Yan Wang, Shangde Gao, Wenyu Gao

CoRR, 2021

Crowdsourcing the perceived urban built environment via social media: The case of underutilized land.

Yan Wang, Shangde Gao, Nan Li, Siyu Yu

Adv. Eng. Informatics, 2021

Modeling U.S. Health Agencies' Message Dissemination on Twitter and Users' Exposure to Vaccine-related Misinformation Using System Dynamics.

Shangde Gao, Yan Wang, Lisa Sundahl Platt

Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

2019

Real-time detecting one specific tampering operation in multiple operator chains.

Shangde Gao, Xin Liao, Xuchong Liu

J. Real Time Image Process., 2019

2017

Forensic Detection for Image Operation Order: Resizing and Contrast Enhancement.

Shangde Gao, Xin Liao, Sujin Guo, Xiong Li, Pandi Vijayakumar

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017