| Towards a deep and unified understanding of deep neural models in nlp C Guan, X Wang, Q Zhang, R Chen, D He, X Xie International conference on machine learning, 2454-2463, 2019 | 125 | 2019 |
| Multimodal continual graph learning with neural architecture search J Cai, X Wang, C Guan, Y Tang, J Xu, B Zhong, W Zhu Proceedings of the ACM Web Conference 2022, 1292-1300, 2022 | 44 | 2022 |
| Autoattend: Automated attention representation search C Guan, X Wang, W Zhu International conference on machine learning, 3864-3874, 2021 | 40 | 2021 |
| Autogl: A library for automated graph learning Z Zhang, Y Qin, Z Zhang, C Guan, J Cai, H Chang, J Jiang, H Li, Z Sun, ... arXiv preprint arXiv:2104.04987, 2021 | 35 | 2021 |
| Semantic role labeling with associated memory network C Guan, Y Cheng, H Zhao arXiv preprint arXiv:1908.02367, 2019 | 25 | 2019 |
| Large-scale graph neural architecture search C Guan, X Wang, H Chen, Z Zhang, W Zhu International Conference on Machine Learning, 7968-7981, 2022 | 19 | 2022 |
| Metadelta: A meta-learning system for few-shot image classification Y Chen, C Guan, Z Wei, X Wang, W Zhu AAAI Workshop on Meta-Learning and MetaDL Challenge, 17-28, 2021 | 19 | 2021 |
| Autogt: Automated graph transformer architecture search Z Zhang, X Wang, C Guan, Z Zhang, H Li, W Zhu The Eleventh International Conference on Learning Representations, 2023 | 18 | 2023 |
| Auxiliary learning with joint task and data scheduling H Chen, X Wang, C Guan, Y Liu, W Zhu International Conference on Machine Learning, 3634-3647, 2022 | 15 | 2022 |
| Curriculum-nas: Curriculum weight-sharing neural architecture search Y Zhou, X Wang, H Chen, X Duan, C Guan, W Zhu Proceedings of the 30th ACM International Conference on Multimedia, 6792-6801, 2022 | 14 | 2022 |
| Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ... NeurIPS 2021 Competitions and Demonstrations Track, 80-96, 2022 | 13 | 2022 |
| Memory network for linguistic structure parsing Z Li, C Guan, H Zhao, R Wang, K Parnow, Z Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2743-2755, 2020 | 7 | 2020 |
| Module-aware optimization for auxiliary learning H Chen, X Wang, Y Liu, Y Zhou, C Guan, W Zhu Advances in Neural Information Processing Systems 35, 31827-31840, 2022 | 5 | 2022 |
| Post-training quantization with progressive calibration and activation relaxing for text-to-image diffusion models S Tang, X Wang, H Chen, C Guan, Z Wu, Y Tang, W Zhu arXiv preprint arXiv:2311.06322, 2023 | 4 | 2023 |
| NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results D Carrión-Ojeda, H Chen, A El Baz, S Escalera, C Guan, I Guyon, I Ullah, ... ECMLPKDD Workshop on Meta-Knowledge Transfer, 24-37, 2022 | 4 | 2022 |
| Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox Y Liu, Y Meng, F Wu, S Peng, H Yao, C Guan, C Tang, X Ma, Z Wang, ... arXiv preprint arXiv:2406.12928, 2024 | 1 | 2024 |
| Joint data-task generation for auxiliary learning H Chen, X Wang, Y Zhou, Y Qin, C Guan, W Zhu Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search S Tang, X Wang, H Chen, C Guan, Y Tang arXiv preprint arXiv:2311.04950, 2023 | 1 | 2023 |
| Architecture search method and apparatus for large-scale graph, and device and storage medium W Zhu, X Wang, G Chaoyu, H Chen US Patent App. 18/093,826, 2024 | | 2024 |
| Supplementary Material for Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image … A El Baz, I Ullah, E Alcobaça, AC Carvalho, H Chen, F Ferreira, H Gouk, ... Feedback 51 (2,040), 2016 | | 2016 |
