Conference Publications [bibtex]

  1. Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao and Hongyuan Zha. "Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification", in Conference on Neural Information Processing Systems PDF Python Code in GitHub
  2. Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou and Hongyuan Zha. "Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport", in Conference on Neural Information Processing Systems PDF Python Code in GitHub
  3. Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou and Hongyuan Zha. "Learning Prototype-oriented Set Representations for Meta-Learning ", in International Conference on Learning Representations（ICLR）, 2022. PDF Python Code in GitHub
  4. Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen and Mingyuan Zhou. "Representing Mixtures of Word Embeddings with Topic Embeddings ", in International Conference on Learning Representations（ICLR）, 2022. (*Equal contribution by the first two authors). PDF Python Code in GitHub
  5. Dandan Guo, Bo Chen, Ruiying Lu and Mingyuan Zhou. " Recurrent Hierarchical Topic-Guided RNN for Language Generation", in International Conference on Machine Learning（ICML）, 2020. PDF Python Code in GitHub
  6. Dandan Guo, Bo Chen, Hao Zhang and Mingyuan Zhou. "Deep Poisson Gamma Dynamical Systems." in Conference on Neural Information Processing Systems （NeurIPS）, 2018. PDF
  7. Hao Zhang, Bo Chen, Dandan Guo, and Mingyuan Zhou. “WHAI. Weibull Autoencoding Inference for Deep Topic Modeling”, in International Conference on Learning Representations（ICLR）, 2018. PDF Python Code in GitHub


Journal Publications [bibtex]

  1. Dandan Guo, Chaojie Wang, Baoxiang Wang and Hongyuan Zha, "Learning Fair Representations via Distance Correlation Minimization", accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
  2. Chuan Du, Yulai Cong, Lei Zhang, Dandan Guo, Song Wei. "A Practical Deceptive Jamming Method Based on Vulnerable Location Awareness Adversarial Attack for Radar HRRP Target Recognition" in IEEE Transactions on Information Forensics and Security(TIFS)，2022. IEEE /
  3. Dandan Guo, Ruiying Lu, Bo Chen and Mingyuan Zhou. "Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning", in International Journal of Computer Vision (IJCV), 2022. (*Equal contribution by the first two authors). PDF Python Code in GitHub
  4. Dandan Guo, Bo Chen, Meixi Zheng and Hongwei Liu." SAR Automatic Target Recognition based on Supervised Deep Variational Auto-encoding Model " ， in IEEE Transactions on Aerospace and Electronic Systems (TAES), 2021. IEEE / PDF
  5. Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, and Mingyuan Zhou, "Variational Temporal Deep Generative Model for Radar HRRP Target Recognition", in IEEE Transactons on Signal Processing (TSP), 2020. IEEE / PDF
  6. Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, and Mingyuan Zhou. “Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference”, in IEEE IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. IEEE / PDF
  7. Chuan Du, Bo Chen, Bin Xu, Dandan Guo, and Hongwei Liu, “Factorized discriminative conditional variational auto-encoder for radar HRRP target recognition,” in Signal Processing (SP), vol. 158, pp. 176–189, 2019. /

    8. © Dandan Guo