| UNITER: Learning UNiversal Image-TExt Representations YC Chen, L Li, L Yu, AE Kholy, F Ahmed, Z Gan, Y Cheng, J Liu ECCV 2020, 2020 | 1798* | 2020 |
| Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling J Lei, L Li, L Zhou, Z Gan, TL Berg, M Bansal, J Liu CVPR 2021, 2021 | 411 | 2021 |
| Large-Scale Adversarial Training for Vision-and-Language Representation Learning Z Gan, YC Chen, L Li, C Zhu, Y Cheng, J Liu NeurIPS 2020, 2020 | 367 | 2020 |
| HERO: Hierarchical Encoder for Video+ Language Omni-representation Pre-training L Li, YC Chen, Y Cheng, Z Gan, L Yu, J Liu EMNLP 2020, 2020 | 356 | 2020 |
| Relation-aware graph attention network for visual question answering L Li, Z Gan, Y Cheng, J Liu ICCV 2019, 2019 | 323 | 2019 |
| GIT: A Generative Image-to-text Transformer for Vision and Language J Wang, Z Yang, X Hu, L Li, K Lin, Z Gan, Z Liu, C Liu, L Wang TMLR, 2022 | 153 | 2022 |
| Graph Optimal Transport for Cross-Domain Alignment L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu ICML 2020, 2020 | 117 | 2020 |
| VIOLET: End-to-End Video-Language Transformers with Masked Visual-token Modeling TJ Fu, L Li, Z Gan, K Lin, WY Wang, L Wang, Z Liu arXiv preprint arXiv:2111.12681, 2021 | 116 | 2021 |
| Multi-step reasoning via recurrent dual attention for visual dialog Z Gan, Y Cheng, AEI Kholy, L Li, J Liu, J Gao ACL 2019, 2019 | 100 | 2019 |
| SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning K Lin, L Li, CC Lin, F Ahmed, Z Gan, Z Liu, Y Lu, L Wang CVPR 2022, 2021 | 94 | 2021 |
| VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation L Li, J Lei, Z Gan, L Yu, YC Chen, R Pillai, Y Cheng, L Zhou, XE Wang, ... NeurIPS 2021 Data and Benchmark Track, 2021 | 77 | 2021 |
| MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action Z Yang, L Li, J Wang, K Lin, E Azarnasab, F Ahmed, Z Liu, C Liu, M Zeng, ... arXiv preprint arXiv:2303.11381, 2023 | 69 | 2023 |
| LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval S Sun, YC Chen, L Li, S Wang, Y Fang, J Liu NAACL 2021, 2021 | 69 | 2021 |
| UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training M Zhou, L Zhou, S Wang, Y Cheng, L Li, Z Yu, J Liu CVPR 2021, 2021 | 62 | 2021 |
| Vision-Language Pre-training: Basics, Recent Advances, and Future Trends Z Gan, L Li, C Li, L Wang, Z Liu, J Gao Foundations and TrendsŪ in Computer Graphics and Vision 14 (3–4), 163-352, 2022 | 56 | 2022 |
| Meta Module Network for Compositional Visual Reasoning W Chen, Z Gan, L Li, Y Cheng, W Wang, J Liu WACV 2021, 2019 | 56 | 2019 |
| Segment Everything Everywhere All at Once X Zou, J Yang, H Zhang, F Li, L Li, J Gao, YJ Lee arXiv preprint arXiv:2304.06718, 2023 | 55 | 2023 |
| Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone ZY Dou, A Kamath, Z Gan, P Zhang, J Wang, L Li, Z Liu, C Liu, Y LeCun, ... NeurIPS 2022, 2022 | 44 | 2022 |
| Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models L Li, J Lei, Z Gan, J Liu ICCV 2021, 2021 | 43 | 2021 |
| Playing Lottery Tickets with Vision and Language Z Gan, YC Chen, L Li, T Chen, Y Cheng, S Wang, J Liu AAAI 2022, 2021 | 38 | 2021 |
Zhe GanResearch Scientist, AppleVerified email at apple.com
