Forensic Detection for Image Operation Order: Resizing and Contrast Enhancement. - Shangde Gao; Xin Liao 001; Sujin Guo; Xiong Li 002; Pandi Vijayakumar (SpaCCS Workshops, 2017)

Real-time detecting one specific tampering operation in multiple operator chains. - Shangde Gao; Xin Liao 001; Xuchong Liu (J. Real Time Image Process., 2019)

Modeling U.S. Health Agencies' Message Dissemination on Twitter and Users' Exposure to Vaccine-related Misinformation Using System Dynamics. - Shangde Gao; Yan Wang 066; Lisa Sundahl Platt (ISCRAM, 2021)

Crowdsourcing the perceived urban built environment via social media: The case of underutilized land. - Yan Wang 066; Shangde Gao; Nan Li 014; Siyu Yu (Adv. Eng. Informatics, 2021)

Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19. - Yan Wang 066; Shangde Gao; Wenyu Gao (CoRR, 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)

Exploring Feature Coupling for Multiple Operations Type and Order Detection. - Shangde Gao; Jiaxin Chen; Xin Liao 001 (MMSP, 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 066; Gregory D. Webster (Cyberpsychology Behav. Soc. Netw., 2022)

Contrastive Knowledge Amalgamation for Unsupervised Image Classification. - Shangde Gao; Yichao Fu; Ke Liu 012; Yuqiang Han (ICANN (2), 2023)

PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. - Ke Liu 012; Shangde Gao; Kaifan Yang; Yuqiang Han (IJCNN, 2023)

Investigating the Dynamics of Social Norm Emergence within Online Communities. - Shangde Gao; Yan Wang 066; My T. Thai (CoRR, 2023)

Unified Matrix Factorization with Dynamic Multi-view Clustering. - Shangde Gao; Ke Liu 012; Yichao Fu (CoRR, 2023)

KA2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation. - Shangde Gao; Yichao Fu; Ke Liu 012; Hongxia Xu; Jian Wu 001 (CARE@MICCAI, 2024)

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning. - Shangde Gao; Yichao Fu; Ke Liu 012; Wei Gao 001; Hongxia Xu; Jian Wu 001; Yuqiang Han (Inf. Sci., 2024)

A periodicity aware transformer for crystal property prediction. - Ke Liu 012; Kaifan Yang; Shangde Gao (Neural Comput. Appl., 2024)

A Universal Periodicity Injection Module for Crystal Property Prediction. - Yichao Fu; Ke Liu 012; Shangde Gao; Lai Wei; Te Qiao; Chao Zhang (ICIC (26), 2025)

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. - Shangde Gao; Ke Liu 012; Yichao Fu; Hongxia Xu; Jian Wu 001 (CoRR, 2025)

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading. - Shuo Tong; Shangde Gao; Ke Liu 012; Zihang Huang; Hongxia Xu; Haochao Ying; Jian Wu 001 (CoRR, 2025)