| A large-scale benchmark dataset for event recognition in surveillance video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... CVPR 2011, 2011 | 996 | 2011 |
| STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification Y Fu, X Wang, Y Wei, T Huang AAAI 2019, 2019 | 236 | 2019 |
| MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning F Liu, X Wang, W Yao, J Chen, K Song, S Cho, Y Yacoob, D Yu NAACL 2024, 2023 | 101 | 2023 |
| Requet: Real-Time QoE Detection for Encrypted YouTube Traffic GZ Craig Gutterman, Katherine Guo, Sarthak Arora, Xiaoyang Wang, Les Wu ... ACM Multimedia Systems Conference, 2019 | 101 | 2019 |
| Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints Z Wang, X Wang, B An, D Yu, C Chen ACL 2020, 2020 | 95 | 2020 |
| A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects X Wang, Q Ji ICCV 2013, 2013 | 92 | 2013 |
| Video Event Recognition with Deep Hierarchical Context Model X Wang, Q Ji CVPR 2015, 2015 | 64 | 2015 |
| InFoBench: Evaluating Instruction Following Ability in Large Language Models Y Qin, K Song, Y Hu, W Yao, S Cho, X Wang, X Wu, F Liu, P Liu, D Yu ACL Findings 2024, 2024 | 61 | 2024 |
| Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels S Yu, X Wang, JC Principe IJCAI 2018, 2018 | 58 | 2018 |
| Hierarchical Context Modeling for Video Event Recognition X Wang, Q Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 39 (9 …, 2017 | 55 | 2017 |
| Scaling Synthetic Data Creation with 1,000,000,000 Personas X Chan, X Wang, D Yu, M Haitao, D Yu arXiv preprint arXiv:2406.20094, 2024 | 49 | 2024 |
| NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation X Wang, C Li, J Zhao, D Yu AAAI 2021, 2021 | 46 | 2021 |
| A Hierarchical Context Model for Event Recognition in Surveillance Video X Wang, Q Ji CVPR 2014, 2014 | 46 | 2014 |
| Toward Unifying Text Segmentation and Long Document Summarization S Cho, K Song, X Wang, F Liu, D Yu EMNLP 2022, 2022 | 39 | 2022 |
| Requet: Real-Time QoE Metric Detection for Encrypted YouTube Traffic C Gutterman, K Guo, S Arora, T Gilliland, X Wang, L Wu, E Katz-Bassett, ... ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 35 | 2020 |
| Salience Allocation as Guidance for Abstractive Summarization F Wang, K Song, H Zhang, L Jin, S Cho, W Yao, X Wang, M Chen, D Yu EMNLP 2022, 2022 | 33 | 2022 |
| Meta-Learning without Data via Wasserstein Distributionally-Robust Model Fusion Z Wang, X Wang, L Shen, Q Suo, K Song, D Yu, Y Shen, M Gao UAI 2022, 2022 | 27 | 2022 |
| Skills-in-Context: Unlocking Compositionality in Large Language Models J Chen, X Pan, D Yu, K Song, X Wang, D Yu, J Chen EMNLP Findings, 2024 | 25* | 2024 |
| AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 | 24 | 2011 |
| Context augmented Dynamic Bayesian Networks for event recognition X Wang, Q Ji Pattern Recognition Letters 43, 62-70, 2014 | 23 | 2014 |