| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2026 | ACL | Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling. | Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao |
| 2025 | ACL | Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions. | Yubo Li, Yidi Miao, Xueying Ding, Ramayya Krishnan, Rema Padman |
| 2025 | ICLR | MetaOOD: Automatic Selection of OOD Detection Models. | Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao |
| 2024 | AIES | Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. | Xueying Ding, Rui Xi, Leman Akoglu |
| 2024 | ICLR | PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks. | Leo Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash |
| 2024 | KDD | Fast Unsupervised Deep Outlier Model Selection with Hypernetworks. | Xueying Ding, Yue Zhao, Leman Akoglu |
| 2020 | AAAI | Combining Machine Learning Models Using combo Library. | Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding |