| 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 | 1234* | 2020 |
| 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 | 260 | 2020 |
| Relation-aware graph attention network for visual question answering L Li, Z Gan, Y Cheng, J Liu ICCV 2019, 2019 | 256 | 2019 |
| 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 | 253 | 2021 |
| 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 | 238 | 2020 |
| 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 | 92 | 2019 |
| Graph Optimal Transport for Cross-Domain Alignment L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu ICML 2020, 2020 | 86 | 2020 |
| 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 | 53 | 2021 |
| 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 | 46 | 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 | 46 | 2021 |
| Meta Module Network for Compositional Visual Reasoning W Chen, Z Gan, L Li, Y Cheng, W Wang, J Liu WACV 2021, 2019 | 46 | 2019 |
| 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 | 41 | 2021 |
| 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 | 33 | 2022 |
| Playing Lottery Tickets with Vision and Language Z Gan, YC Chen, L Li, T Chen, Y Cheng, S Wang, J Liu AAAI 2022, 2021 | 28 | 2021 |
| Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models L Li, J Lei, Z Gan, J Liu ICCV 2021, 2021 | 24 | 2021 |
| 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 | 23 | 2021 |
| A Closer Look at the Robustness of Vision-and-Language Pre-trained Models L Li, Z Gan, J Liu arXiv preprint arXiv:2012.08673, 2020 | 23 | 2020 |
| Extracting human face similarity judgments: Pairs or triplets? L Li, VL Malave, A Song, A Yu CogSci 2016, 2016 | 16 | 2016 |
| Learning to See People like People: Predicting Social Perceptions of Faces. A Song, L Li, C Atalla, G Cottrell CogSci 2017, 2017 | 14* | 2017 |
| LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling L Li, Z Gan, K Lin, CC Lin, Z Liu, C Liu, L Wang arXiv preprint arXiv:2206.07160, 2022 | 10 | 2022 |
Zhe GanResearch Scientist, AppleVerified email at apple.com
