Chaoyu Guan

According to our database, Chaoyu Guan authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models.

Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu

CoRR, 2023

Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search.

Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Yansong Tang, Wenwu Zhu

CoRR, 2023

Joint Data-Task Generation for Auxiliary Learning.

Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AutoGT: Automated Graph Transformer Architecture Search.

Zizhao Zhang, Xin Wang, Chaoyu Guan, Ziwei Zhang, Haoyang Li, Wenwu Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Multimodal Continual Graph Learning with Neural Architecture Search.

Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Module-Aware Optimization for Auxiliary Learning.

Hong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Curriculum-NAS: Curriculum Weight-Sharing Neural Architecture Search.

Yuwei Zhou, Xin Wang, Hong Chen, Xuguang Duan, Chaoyu Guan, Wenwu Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Large-Scale Graph Neural Architecture Search.

Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

Auxiliary Learning with Joint Task and Data Scheduling.

Hong Chen, Xin Wang, Chaoyu Guan, Yue Liu, Wenwu Zhu

Proceedings of the International Conference on Machine Learning, 2022

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results.

Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu

Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

2021

AutoGL: A Library for Automated Graph Learning.

Chaoyu Guan, Ziwei Zhang, Haoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, Wenwu Zhu

CoRR, 2021

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.

Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

AutoAttend: Automated Attention Representation Search.

Chaoyu Guan, Xin Wang, Wenwu Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

MetaDelta: A Meta-Learning System for Few-shot Image Classification.

Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

Memory Network for Linguistic Structure Parsing.

Zuchao Li, Chaoyu Guan, Hai Zhao, Rui Wang, Kevin Parnow, Zhuosheng Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2020

2019

Semantic Role Labeling with Associated Memory Network.

Chaoyu Guan, Yuhao Cheng, Hai Zhao

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Towards a Deep and Unified Understanding of Deep Neural Models in NLP.

Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie

Proceedings of the 36th International Conference on Machine Learning, 2019