Dachuan Shi
Orcid: 0000-0002-9296-7213
According to our database1,
Dachuan Shi authored at least 23 papers
between 2020 and 2026.
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Bibliography
2026
CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning.
CoRR, May, 2026
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding.
CoRR, March, 2026
MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models.
CoRR, March, 2026
Cognitive digital twins for capability matching toward reconfigurable manufacturing: Leveraging asset administration shells and large language models.
Robotics Comput. Integr. Manuf., 2026
2025
SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs.
CoRR, October, 2025
Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners.
CoRR, October, 2025
Dual data mapping with fine-tuned large language models and asset administration shells toward interoperable knowledge representation.
Robotics Comput. Integr. Manuf., 2025
Fine-tuning large language models with contrastive margin ranking loss for selective entity matching in product data integration.
Adv. Eng. Informatics, 2025
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation Models.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications.
CoRR, 2021
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.
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.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020