| 2026 | ACL | PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection. | Jinhan Liu, Yibo Yang, Ruiying Lu, Piotr Piekos, Yimeng Chen, Peng Wang, Dandan Guo |
| 2026 | ACL | Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment. | Haozhong Wang, Zhuo Li, Yibo Yang, He Zhao, Hongyuan Zha, Dandan Guo |
| 2025 | CVPR | Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration. | Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha |
| 2025 | CVPR | Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning. | Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang |
| 2025 | CVPR | FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. | Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang |
| 2025 | EMNLP | APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport. | Zhuo Li, Yuege Feng, Dandan Guo, Jinpeng Hu, Anningzhe Gao, Xiang Wan |
| 2025 | ICLR | FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking. | Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang |
| 2025 | ICLR | DRL: Decomposed Representation Learning for Tabular Anomaly Detection. | Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang |
| 2024 | ICLR | PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. | Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang |
| 2024 | ICML | Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification. | Jintong Gao, He Zhao, Dandan Guo, Hongyuan Zha |
| 2023 | AAAI | A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. | Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2022 | ICLR | Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. | Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou |
| 2022 | ICLR | Learning Prototype-oriented Set Representations for Meta-Learning. | Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha |
| 2020 | ICML | Recurrent Hierarchical Topic-Guided RNN for Language Generation. | Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou |
| 2018 | ICLR | WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling. | Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou |