Color perception of 3D objects: constancy with respect to variation of surface gloss. - Bei Xiao; David H. Brainard (APGV, 2006)

Estimating the Material Properties of Fabric from Video. - Katherine L. Bouman; Bei Xiao; Peter W. Battaglia; William T. Freeman (ICCV, 2013)

Understanding the role of phase function in translucent appearance. - Ioannis Gkioulekas; Bei Xiao; Shuang Zhao; Edward H. Adelson; Todd E. Zickler; Kavita Bala (ACM Trans. Graph., 2013)

CHI 1994-2013: mapping two decades of intellectual progress through co-word analysis. - Yong Liu 010; Jorge Gonçalves 001; Denzil Ferreira; Bei Xiao; Simo Hosio; Vassilis Kostakos (CHI, 2014)

Perceptual constancy of mechanical properties of cloth under variation of external forces. - Wenyan Bi; Bei Xiao (SAP, 2016)

Fragmentation or cohesion? Visualizing the process and consequences of information system diversity, 1993-2012. - Yong Liu 010; Hongxiu Li; Jorge Gonçalves 001; Vassilis Kostakos; Bei Xiao (Eur. J. Inf. Syst., 2016)

Interaction between static visual cues and force-feedback on the perception of mass of virtual objects. - Wenyan Bi; Jonathan Newport; Bei Xiao (SAP, 2018)

Towards More Accurate Uncertainty Estimation In Text Classification. - Jianfeng He; Xuchao Zhang; Shuo Lei; Zhiqian Chen; Fanglan Chen; Abdulaziz Alhamadani; Bei Xiao; Chang-Tien Lu (EMNLP (1), 2020)

Semantic Editing On Segmentation Map Via Multi-Expansion Loss. - Jianfeng He; Xuchao Zhang; Shuo Lei; Shuhui Wang; Qingming Huang; Chang-Tien Lu; Bei Xiao (CoRR, 2020)

Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map. - Jianfeng He; Bei Xiao; Xuchao Zhang; Shuo Lei; Shuhui Wang; Chang-Tien Lu (ICCVW, 2021)

A Privacy-Preserving Lightweight Energy Data Sharing Scheme Based on Blockchain for Smart Grid. - Xinyang Li; Yujue Wang; Yong Ding 005; Shiye Ma; Bei Xiao; Zhihong Guo; Xiaorui Kang; Xiaohui Ma; Jia Mai (CollaborateCom (2), 2022)

Semantic inpainting on segmentation map via multi-expansion loss. - Jianfeng He; Xuchao Zhang; Shuo Lei; Shuhui Wang; Chang-Tien Lu; Bei Xiao (Neurocomputing, 2022)

CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. - Jianfeng He; Xuchao Zhang; Shuo Lei; Abdulaziz Alhamadani; Fanglan Chen; Bei Xiao; Chang-Tien Lu (KDD, 2023)

Unsupervised learning reveals interpretable latent representations for translucency perception. - Chenxi Liao; Masataka Sawayama; Bei Xiao (PLoS Comput. Biol., 2023)

Multi-Scale Ground Deformation Analysis and Investigation of Driver Factors Based on Remote Sensing Data: A Case Study of Zhuhai City. - Yuxin Tian; Zhenghai Wang; Bei Xiao (Remote. Sens., 2023)

CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models. - Michael Reinisch; Jianfeng He; Chenxi Liao; Sauleh Siddiqui; Bei Xiao (BIBM, 2024)

HLB: Benchmarking LLMs' Humanlikeness in Language Use. - Xufeng Duan; Bei Xiao; Xuemei Tang; Zhenguang G. Cai (CoRR, 2024)

Probing the link between vision and language in material perception using psychophysics and unsupervised learning. - Chenxi Liao; Masataka Sawayama; Bei Xiao (PLoS Comput. Biol., 2024)

Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability. - Xufeng Duan; Xinyu Zhou; Bei Xiao; Zhenguang G. Cai (COLING, 2025)

TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting. - Young-Chae Hong; Bei Xiao; Yangho Chen (CoRR, 2025)