Dachuan Shi

According to our database, Dachuan Shi authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models.

Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Lin

CoRR, July, 2025

Superficial Self-Improved Reasoners Benefit from Model Merging.

Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, Dachuan Shi, Soroush Vosoughi, Wenke Lee

CoRR, March, 2025

Dual data mapping with fine-tuned large language models and asset administration shells toward interoperable knowledge representation.

Dachuan Shi, Olga Meyer, Michael Oberle, Thomas Bauernhansl

Robotics Comput. Integr. Manuf., 2025

Fine-tuning large language models with contrastive margin ranking loss for selective entity matching in product data integration.

Qian Ruan, Dachuan Shi, Thomas Bauernhansl

Adv. Eng. Informatics, 2025

2024

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment.

Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.

Dachuan Shi, Chaofan Tao, Anyi Rao, Zhendong Yang, Chun Yuan, Jiaqi Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Asset Adminstration Shell-based Flexible Manufacturing System.

Zhi Fan, Dachuan Shi, Olga Meyer, Joachim Seidelmann, Hao Wang

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.

Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation Models.

Dachuan Shi, Ruiyang Liu, Linmi Tao, Chun Yuan

Proceedings of the IEEE International Conference on Acoustics, 2022

Masked Generative Distillation.

Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Visual Measurement System for Wheel-Rail Lateral Position Evaluation.

Viktor Skrickij, Eldar Sabanovic, Dachuan Shi, Stefano Ricci, Luca Rizzetto, Gintautas Bureika

Sensors, 2021

Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications.

Dachuan Shi, Eldar Sabanovic, Luca Rizzetto, Viktor Skrickij, Roberto Oliverio, Nadia Kaviani, Yunguang Ye, Gintautas Bureika, Stefano Ricci, Markus Hecht

CoRR, 2021

Multi-Encoder Parse-Decoder Network for Sequential Medical Image Segmentation.

Dachuan Shi, Ruiyang Liu, Linmi Tao, Zuoxiang He, Li Huo

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback.

Yaohua Bu, Tianyi Ma, Weijun Li, Hang Zhou, Jia Jia, Shengqi Chen, Kaiyuan Xu, Dachuan Shi, Haozhe Wu, Zhihan Yang, Kun Li, Zhiyong Wu, Yuanchun Shi, Xiaobo Lu, Ziwei Liu

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Empirical Study on Robustness of Machine Learning Approaches for Fault Diagnosis under Railway Operational Conditions.

Dachuan Shi, Yunguang Ye, Marco Gillwald, Markus Hecht

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020