Yaofo Chen

According to our database, Yaofo Chen authored at least 26 papers between 2020 and 2026.

Collaborative distances:

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

2026

Latent-Condensed Transformer for Efficient Long Context Modeling.

Zeng You, Yaofo Chen, Qiuwu Chen, Ying Sun, Shuhai Zhang, Yingjian Li, Yaowei Wang, Mingkui Tan

CoRR, April, 2026

Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning.

Qianyue Wang, Jinwu Hu, Huanxiang Lin, Bolin Chen, Zhiquan Wen, Yaofo Chen, Yu Rong, Mingkui Tan

CoRR, February, 2026

Beyond Model Scaling: Test-Time Intervention for Efficient Deep Reasoning.

Qianyue Wang, Jinwu Hu, Yufeng Wang, Huanxiang Lin, Bolin Chen, Zhiquan Wen, Yaofo Chen, Mingkui Tan

CoRR, January, 2026

ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration.

Fanpu Cao, Yaofo Chen, Zeng You, Wei Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration.

Fanpu Cao, Yaofo Chen, Zeng You, Wei Luo, Cen Chen

CoRR, December, 2025

Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models.

Jinwu Hu, Dongjin Yang, Langyu Bian, Zhiquan Wen, Yufeng Wang, Yaofo Chen, Bin Xiao, Yuanqing Li, Mingkui Tan

CoRR, December, 2025

Training-free Context-adaptive Attention for Efficient Long Context Modeling.

Zeng You, Yaofo Chen, Shuhai Zhang, Zhijie Qiu, Tingyu Wu, Yingjian Li, Yaowei Wang, Mingkui Tan

CoRR, December, 2025

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization.

Shuaicheng Niu, Guohao Chen, Deyu Chen, Yifan Zhang, Jiaxiang Wu, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Chunyan Miao, Mingkui Tan

CoRR, September, 2025

Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting.

Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

Toward Long Video Understanding via Fine-Detailed Video Story Generation.

Zeng You, Zhiquan Wen, Yaofo Chen, Xin Li, Runhao Zeng, Yaowei Wang, Mingkui Tan

IEEE Trans. Circuits Syst. Video Technol., May, 2025

Sensitivity-Aware Post-training Quantization for Deep Neural Networks.

Zekang Zheng, Haokun Li, Yaofo Chen, Mingkui Tan, Qing Du

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Curse of High Dimensionality Issue in Transformer for Long Context Modeling.

Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Core Context Aware Transformers for Long Context Language Modeling.

Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers.

Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Automated Dominative Subspace Mining for Efficient Neural Architecture Search.

Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Core Context Aware Attention for Long Context Language Modeling.

Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan

CoRR, 2024

Towards Long Video Understanding via Fine-detailed Video Story Generation.

Zeng You, Zhiquan Wen, Yaofo Chen, Xin Li, Runhao Zeng, Yaowei Wang, Mingkui Tan

CoRR, 2024

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation.

Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Stable Test-time Adaptation in Dynamic Wild World.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pareto-aware Neural Architecture Generation for Diverse Computational Budgets.

Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automatic Subspace Evoking for Efficient Neural Architecture Search.

Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, Mingkui Tan

CoRR, 2022

Efficient Test-Time Model Adaptation without Forgetting.

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan

Proceedings of the International Conference on Machine Learning, 2022

2021

Content-aware convolutional neural networks.

Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang

Neural Networks, 2021

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets.

Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

CoRR, 2021

Contrastive Neural Architecture Search With Neural Architecture Comparators.

Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search.

Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

Proceedings of the 37th International Conference on Machine Learning, 2020