Guo, Dandan

13 publications

CVPR 2025 Balancing Two Classifiers via a Simplex ETF Structure for Model Calibration Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha

CVPR 2025 Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang

TMLR 2025 Diverse Condensed Data Generation via Class Preserving Distribution Matching Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha

CVPR 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang

NeurIPS 2025 LLM Meeting Decision Trees on Tabular Data Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang

TMLR 2025 Synthesizing Minority Samples for Long-Tailed Classification via Distribution Matching Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha

AAAI 2023 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

NeurIPS 2023 Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-Tailed Classification Jintong Gao, He Zhao, Zhuo Li, Dandan Guo

NeurIPS 2022 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha

NeurIPS 2022 Learning to Re-Weight Examples with Optimal Transport for Imbalanced Classification Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha

ICML 2020 Recurrent Hierarchical Topic-Guided RNN for Language Generation Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou

NeurIPS 2018 Deep Poisson Gamma Dynamical Systems Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou

ICLR 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou