| LLM-Pruner: On the structural pruning of large language models X Ma, G Fang, X Wang Advances in neural information processing systems 36, 21702-21720, 2023 | 388 | 2023 |
| Depgraph: Towards any structural pruning G Fang, X Ma, M Song, MB Mi, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 312 | 2023 |
| Locate and label: A two-stage identifier for nested named entity recognition Y Shen, X Ma, Z Tan, S Zhang, W Wang, W Lu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 190 | 2021 |
| DeepCache: Accelerating diffusion models for free X Ma, G Fang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 80 | 2024 |
| A trigger-sense memory flow framework for joint entity and relation extraction Y Shen, X Ma, Y Tang, W Lu Proceedings of the web conference 2021, 1704-1715, 2021 | 61 | 2021 |
| Multi-hop reading comprehension across documents with path-based graph convolutional network Z Tang, Y Shen, X Ma, W Xu, J Yu, W Lu IJCAI'20: Proceedings of the Twenty-Ninth International Conference on …, 2020 | 28 | 2020 |
| Adversarial self-supervised data-free distillation for text classification X Ma, Y Shen, G Fang, C Chen, C Jia, W Lu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 20 | 2020 |
| MuVER: Improving first-stage entity retrieval with multi-view entity representations X Ma, Y Jiang, N Bach, T Wang, Z Huang, F Huang, W Lu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 15 | 2021 |
| Enrich cross-lingual entity links for online wikis via multi-modal semantic matching W Lu, P Wang, X Ma, W Xu, C Chen Information processing & management 57 (5), 102271, 2020 | 9 | 2020 |
| Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching X Ma, G Fang, MB Mi, X Wang Neural Information Processing Systems (NeurIPS‘24), 2024 | 8 | 2024 |
| Prompting to distill: Boosting data-free knowledge distillation via reinforced prompt X Ma, X Wang, G Fang, Y Shen, W Lu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 7 | 2022 |
| 0.1% Data Makes Segment Anything Slim Z Chen, G Fang, X Ma, X Wang Neural Information Processing Systems (NeurIPS‘24), 2024 | 6 | 2024 |
| Synet: Synonym expansion using transitivity J Yu, Y Shen, X Ma, C Jia, C Chen, W Lu Findings of the Association for Computational Linguistics: EMNLP 2020, 1961-1970, 2020 | 4 | 2020 |
| AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Z Chen, X Ma, G Fang, Z Tan, X Wang Neural Information Processing Systems (NeurIPS‘24), 2024 | 3 | 2024 |
| Boosting Cross-lingual Entity Alignment with Textual Embedding W Xu, C Chen, C Jia, Y Shen, X Ma, W Lu Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 2 | 2020 |
| Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient Z Chen, X Ma, G Fang, X Wang arXiv preprint arXiv:2411.17787, 2024 | | 2024 |
| Isomorphic Pruning for Vision Models G Fang, X Ma, MB Mi, X Wang European Conference on Computer Vision (ECCV‘24), 2024 | | 2024 |
| LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis Z Tan, X Ma, G Fang, X Wang Interspeech‘24, 2024 | | 2024 |
| Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising G Fang, X Ma, X Wang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
Gongfan FangNational University of SingaporeVerified email at u.nus.edu
