---
title: "Zhe Gan — all works — Elamur Research"
description: "All 37 works of Zhe Gan in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/zhe-gan/works/"
---
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# Zhe Gan — all works

37 works · [← Zhe Gan](https://md.research.elamur.ai/free/en/authors/zhe-gan/)

1. **[UNITER: UNiversal Image-TExt Representation Learning](https://md.research.elamur.ai/free/en/papers/chen-2019-uniter-universal-image-text-representation/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Yen-Chun Chen, Linjie Li, Licheng Yu, et al.*2019 · 2,418 citations*
2. [**Patient Knowledge Distillation for BERT Model Compression arXiv:1908.09355**Siqi Sun, Yu Cheng, Zhe Gan, et al.*2019 · 947 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-patient-knowledge-distillation-bert-model/)
3. **[Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling ↗](https://doi.org/10.1109/cvpr46437.2021.00725) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jie Lei et al.*2021 · 663 citations*
4. **[Semantic Compositional Networks for Visual Captioning ↗](https://doi.org/10.1109/cvpr.2017.127) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhe Gan et al.*2017 · 493 citations*
5. **[HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training](https://md.research.elamur.ai/free/en/papers/li-2020-hero-hierarchical-encoder-video-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Linjie Li, Yen-Chun Chen, Yu Cheng, et al.*2020 · 481 citations*
6. [**FreeLB: Enhanced Adversarial Training for Natural Language Understanding arXiv:1909.11764**Chen Zhu, Yu Cheng, Zhe Gan, et al.*2019 · 452 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2019-freelb-enhanced-adversarial-training-natural/)
7. **[An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA ↗](https://doi.org/10.1609/aaai.v36i3.20215) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhengyuan Yang et al.*2022 · 425 citations*
8. **[Relation-Aware Graph Attention Network for Visual Question Answering ↗](https://doi.org/10.1109/iccv.2019.01041) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Linjie Li et al.*2019 · 399 citations*
9. **[An Empirical Study of Training End-to-End Vision-and-Language Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.01763) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zi-Yi Dou et al.*2022 · 397 citations*
10. **[Discourse-Aware Neural Extractive Text Summarization](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 385 citations*
11. **[StyleNet: Generating Attractive Visual Captions with Styles ↗](https://doi.org/10.1109/cvpr.2017.108) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chuang Gan et al.*2017 · 324 citations*
12. **[SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning ↗](https://doi.org/10.1109/cvpr52688.2022.01742) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kevin Lin et al.*2022 · 320 citations*
13. **[GIT: A Generative Image-to-text Transformer for Vision and Language ↗](https://arxiv.org/abs/2205.14100) arXiv:2205.14100 · no summary yet**Jianfeng Wang et al.*2022 · 319 citations*
14. **[StoryGAN: A Sequential Conditional GAN for Story Visualization ↗](https://doi.org/10.1109/cvpr.2019.00649) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yitong Li et al.*2019 · 249 citations*
15. **[Hierarchical Graph Network for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/fang-2020-hierarchical-graph-network-multi-hop/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuwei Fang, Siqi Sun, Zhe Gan, et al.*2020 · 243 citations*
16. **[Scaling Up Vision-Language Pretraining for Image Captioning ↗](https://doi.org/10.1109/cvpr52688.2022.01745) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiaowei Hu et al.*2022 · 237 citations*
17. **[Generalized Decoding for Pixel, Image, and Language ↗](https://doi.org/10.1109/cvpr52729.2023.01451) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xueyan Zou et al.*2023 · 219 citations*
18. [**Prompting GPT-3 To Be Reliable arXiv:2210.09150**Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.*2022 · 210 citations*](https://md.research.elamur.ai/free/en/papers/si-2022-prompting-gpt-3-reliable/)
19. **[Multi-Fact Correction in Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/dong-2020-multi-fact-correction-abstractive-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yue Dong, Shuohang Wang, Zhe Gan, et al.*2020 · 163 citations*
20. **[Distilling Knowledge Learned in BERT for Text Generation ↗](https://aclanthology.org/2020.acl-main.705/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yen-Chun Chen et al.*2020 · 156 citations*
21. **[Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ↗](https://aclanthology.org/P19-1648/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhe Gan et al.*2019 · 136 citations*
22. **[Learning Generic Sentence Representations Using Convolutional Neural Networks ↗](https://aclanthology.org/D17-1254/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhe Gan et al.*2017 · 118 citations*
23. **[POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training ↗](https://aclanthology.org/2020.emnlp-main.698/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yizhe Zhang et al.*2020 · 116 citations*
24. **[Contrastive Distillation on Intermediate Representations for Language Model Compression ↗](https://aclanthology.org/2020.emnlp-main.36/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Siqi Sun et al.*2020 · 103 citations*
25. **[Topic-Guided Variational Auto-Encoder for Text Generation ↗](https://aclanthology.org/N19-1015/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Wenlin Wang et al.*2019 · 91 citations*
26. **[Domain Adaptive Text Style Transfer ↗](https://aclanthology.org/D19-1325/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Dianqi Li et al.*2019 · 83 citations*
27. **[What Makes A Good Story? Designing Composite Rewards for Visual Storytelling ↗](https://doi.org/10.1609/aaai.v34i05.6305) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Junjie Hu et al.*2020 · 80 citations*
28. **[TIGEr: Text-to-Image Grounding for Image Caption Evaluation ↗](https://aclanthology.org/D19-1220/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Ming Jiang et al.*2019 · 79 citations*
29. **[Adversarial Domain Adaptation for Machine Reading Comprehension ↗](https://aclanthology.org/D19-1254/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Huazheng Wang et al.*2019 · 78 citations*
30. **[An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling ↗](https://doi.org/10.1109/cvpr52729.2023.02193) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tsu-Jui Fu et al.*2023 · 66 citations*
31. **[VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation ↗](https://arxiv.org/abs/2106.04632) arXiv (Cornell University) · no summary yet**Linjie Li et al.*2021 · 53 citations*
32. **[Contextual Text Style Transfer ↗](https://aclanthology.org/2020.findings-emnlp.263/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Yu Cheng et al.*2020 · 45 citations*
33. **[Improve Vision Language Model Chain-of-thought Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-improve-vision-language-model-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruohong Zhang, Bowen Zhang, Yanghao Li, et al.*2025 · 42 citations*
34. **[An Empirical Study of Multimodal Model Merging ↗](https://aclanthology.org/2023.findings-emnlp.105/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Yi-Lin Sung et al.*2023 · 37 citations*
35. **[Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation ↗](https://doi.org/10.1109/cvprw63382.2024.00537) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Jaemin Cho et al.*2024 · 9 citations*
36. **[MLP Architectures for Vision-and-Language Modeling: An Empirical Study ↗](https://arxiv.org/abs/2112.04453) arXiv (Cornell University) · no summary yet**Yixin Nie et al.*2021 · 6 citations*
37. **[SO-Bench: A Structural Output Evaluation of Multimodal LLMs ↗](https://arxiv.org/abs/2511.21750) arXiv (Cornell University) · no summary yet**Di Feng et al.*2025*