Tag-aware dynamic music recommendation. - Ervine Zheng; Gustavo Yukio Kondo; Stephen J. Zilora; Qi Yu 001 (Expert Syst. Appl., 2018)

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (NeurIPS, 2020)

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AAAI, 2021)

MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICDM, 2021)

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Yu Kong 001; Qi Yu 001 (AAAI, 2022)

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2022)

Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. - Ervine Zheng; Qi Yu 001; Zhi Zheng 002 (AAAI, 2023)

Knowledge Acquisition for Human-In-The-Loop Image Captioning. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2023)

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery. - Dingrong Wang; Deep Shankar Pandey; Krishna Prasad Neupane; Zhiwei Yu; Ervine Zheng; Zhi Zheng 002; Qi Yu 001 (ICML, 2023)

Evidential Interactive Learning for Medical Image Captioning. - Ervine Zheng; Qi Yu 001 (ICML, 2023)

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation. - Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (NeurIPS, 2024)

Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. - Ervine Zheng; Qi Yu 001 (AAAI, 2025)

Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. - Dingrong Wang; Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICLR, 2025)