Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration. - Yu Wang 102; Jingyang Lin; Jingjing Zou; Yingwei Pan; Ting Yao; Tao Mei 001 (NeurIPS, 2021)

Out-of-Distribution Detection via Conditional Kernel Independence Model. - Yu Wang 060; Jingjing Zou; Jingyang Lin; Qing Ling; Yingwei Pan; Ting Yao; Tao Mei 001 (NeurIPS, 2022)

Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding. - Yiren Wang; Fatima-tuz-Zahra; Rong Zablocki; Chongzhi Di; Marta M. Jankowska; John Bellettiere; Jordan A. Carlson; Andrea Z. LaCroix; Sheri J. Hartman; Dori E. Rosenberg; Jingjing Zou; Loki Natarajan (CoRR, 2022)

Analysis of Film and Television Symbols and Communication Strategies of Chinese Films in Cross-Cultural Perspective. - Weilong Wu; Jingjing Zou (HCI (67), 2025)

MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements. - Howon Ryu; Yuliang Chen; Yacun Wang; Andrea Z. LaCroix; Chongzhi Di; Loki Natarajan; Yu Wang; Jingjing Zou (CoRR, 2025)

Kernel Masked Image Modeling Through the Lens of Theoretical Understanding. - Yurui Qian; Yu Wang 060; Jingjing Zou; Jingyang Lin; Yingwei Pan; Ting Yao; Qibin Sun; Tao Mei 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)