| 2025 | AAAI | Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. | Ervine Zheng, Qi Yu |
| 2025 | ACL | Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization. | Cheng Zhen, Ervine Zheng, Jilong Kuang, Geoffrey J. Tso |
| 2025 | EMNLP | Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents. | Ervine Zheng, Yikuan Li, Geoffrey J. Tso, Jilong Kuang |
| 2025 | ICLR | Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. | Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2023 | AAAI | Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. | Ervine Zheng, Qi Yu, Zhi Zheng |
| 2023 | AISTATS | Knowledge Acquisition for Human-In-The-Loop Image Captioning. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2023 | ICML | 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, Qi Yu |
| 2023 | ICML | Evidential Interactive Learning for Medical Image Captioning. | Ervine Zheng, Qi Yu |
| 2022 | AAAI | A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu |
| 2022 | AISTATS | Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2021 | AAAI | A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2021 | ICDM | MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Qi Yu |