Multimodal Classification of EEG During Physical Activity. - Yi Ding 010; Brandon Huynh; Aiwen Xu; Tom Bullock; Hubert Cecotti; Matthew Turk 001; Barry Giesbrecht; Tobias Höllerer (ICMI, 2019)

Multimodal Biometric Authentication for VR/AR using EEG and Eye Tracking. - Vrishab Krishna; Yi Ding 010; Aiwen Xu; Tobias Höllerer (ICMI (Adjunct), 2019)

Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract). - Anish Kachinthaya; Yi Ding 010; Tobias Höllerer (AAAI, 2020)

Predicting Video Affect via Induced Affection in the Wild. - Yi Ding 010; Radha Kumaran; Tianjiao Yang; Tobias Höllerer (ICMI, 2020)

Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract). - Kento Nishi; Yi Ding 010; Alex Rich 001; Tobias Höllerer (AAAI, 2021)

Augmentation Strategies for Learning With Noisy Labels. - Kento Nishi; Yi Ding 010; Alex Rich 001; Tobias Höllerer (CVPR, 2021)

Sparse Fusion for Multimodal Transformers. - Yi Ding 010; Alex Rich 001; Mason Wang; Noah Stier; Matthew Turk 001; Pradeep Sen; Tobias Höllerer (CoRR, 2021)

Impact of Annotator Demographics on Sentiment Dataset Labeling. - Yi Ding 010; Jacob You; Tonja-Katrin Machulla; Jennifer Jacobs 001; Pradeep Sen; Tobias Höllerer (Proc. ACM Hum. Comput. Interact., 2022)

Imperfect Label Information in Multimodal Human-Centric Machine Learning - Yi Ding 010 (2022)

Loss Modeling for Multi-Annotator Datasets. - Uthman Jinadu; Jesse Annan; Shanshan Wen; Yi Ding 010 (CoRR, 2023)

Noise Correction on Subjective Datasets. - Uthman Jinadu; Yi Ding 010 (ACL (1), 2024)

MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations. - Hongyu Ke; Jack Morris; Kentaro Oguchi 001; Xiaofei Cao; Yongkang Liu 005; Haoxin Wang; Yi Ding 010 (ICLR, 2025)