Attack-Resistant Federated Learning with Residual-based Reweighting. - Shuhao Fu; Chulin Xie; Bo Li 026; Qifeng Chen (CoRR, 2019)

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. - Shuhao Fu; Yongyi Lu; Yan Wang 033; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2020)

Visual Analogy: Deep Learning Versus Compositional Models. - Nicholas Ichien; Qing Liu 017; Shuhao Fu; Keith J. Holyoak; Alan L. Yuille; Hongjing Lu (CogSci, 2021)

From Vision to Reasoning: Probabilistic Analogical Mapping Between 3D Objects. - Shuhao Fu; Hongjing Lu; Keith J. Holyoak (CogSci, 2022)

Causal versus Associative Relations: Do Humans Perceive and Represent Them Differently? - Icy (Yunyi) Zhang; Shuhao Fu; Alice (Zhongrui) Xu; Hongjing Lu (CogSci, 2022)

Zero-shot visual reasoning through probabilistic analogical mapping. - Taylor W. Webb; Shuhao Fu; Trevor Bihl; Keith J. Holyoak; Hongjing Lu (CoRR, 2022)

Training ChatGPT-like Models with In-network Computation. - Shuhao Fu; Yong Liao; Pengyuan Zhou (APNet, 2023)

Human similarity judgments of emojis support alignment of conceptual systems across modalities. - Bryor Snefjella; Yiling Yun; Shuhao Fu; Hongjing Lu (CogSci, 2023)

Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. - Nicholas Ichien; Qing Liu 017; Shuhao Fu; Keith J. Holyoak; Alan L. Yuille; Hongjing Lu (Cogn. Sci., 2023)

5G MEC Computation Handoff for Mobile Augmented Reality. - Peng Yuan Zhou; Shuhao Fu; Benjamin Finley; Xuebing Li; Sasu Tarkoma; Jussi Kangasharju; Mostafa H. Ammar; Pan Hui 001 (MetaCom, 2024)

Synthetic Data Generation with LLM for Improved Depression Prediction. - Andrea Kang; Jun Yu Chen; Zoe Lee-Youngzie; Shuhao Fu (CoRR, 2024)

Evaluating Compositional Scene Understanding in Multimodal Generative Models. - Shuhao Fu; Andrew Jun Lee; Anna Wang 002; Ida Momennejad; Trevor Bihl; Hongjing Lu; Taylor Whittington Webb (Trans. Mach. Learn. Res., 2025)

Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models. - Shuhao Fu; Philip J. Kellman; Hongjing Lu (CoRR, 2025)