Gan, Zhe

UNITER: UNiversal Image-TExt Representation Learning

Chen, Y.-C., Li, L., Yu, L., El Kholy, A., Ahmed, F., Gan, Z., Cheng, Y., & Liu, J. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 2,055

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., & He, X. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1,923

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

Li, L., Chen, Y.-C., Cheng, Y., Gan, Z., Yu, L., & Liu, J. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 408

Hierarchical Graph Network for Multi-hop Question Answering

Fang, Y., Sun, S., Gan, Z., Pillai, R., Wang, S., & Liu, J. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 176

Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

Gan, Z., Li, L., Li, C., Wang, L., Liu, Z., & Gao, J. (2022) · Foundations and Trends® in Computer Graphics and Vision

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 155

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Chen, T., Cheng, Y., Gan, Z., Yuan, L., Zhang, L., & Wang, Z. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 111

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Wang, B., Xu, C., Wang, S., Gan, Z., Cheng, Y., Gao, J., Awadallah, A. H., & Li, B. (2021) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 88

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Jiang, M., Huang, Q., Zhang, L., Wang, X., Zhang, P., Gan, Z., Diesner, J., & Gao, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 59

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

Li, C., Stevens, A., Chen, C., Pu, Y., Gan, Z., & Carin, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGaussian Processes and Bayesian Inference

Cited by 39