Dandan Tu

Orcid: 0000-0002-3560-124X

According to our database1, Dandan Tu authored at least 31 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
ToolACE: Winning the Points of LLM Function Calling.
CoRR, 2024

Disfluency Detection for Real-World Scenarios.
Proceedings of the International Joint Conference on Neural Networks, 2024

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Concise and Precise Context Compression for Tool-Using Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Unsupervised Cross-Modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging, June, 2023

DocStormer: Revitalizing Multi-Degraded Colored Document Images to Pristine PDF.
CoRR, 2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.
CoRR, 2023

Stable Attribute Group Editing for Reliable Few-shot Image Generation.
CoRR, 2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2022

Intrinsic Bias Identification on Medical Image Datasets.
CoRR, 2022

Attribute Group Editing for Reliable Few-shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2021

Deep learning for predicting COVID-19 malignant progression.
Medical Image Anal., 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR, 2021

DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19.
CoRR, 2021

DuCN: Dual-Children Network for Medical Diagnosis and Similar Case Recommendation Towards COVID-19.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pay More Attention to Discontinuity for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Directional Feature Maps for Cardiac MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DCCL: A Benchmark for Cervical Cytology Analysis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Face Detection Using Improved Faster RCNN.
CoRR, 2018

A unified scheme of text localization and structured data extraction for joint OCR and data mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Survey on Deep Learning Benchmarks: Do We Still Need New Ones?
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

2011
Three New Concepts of Future Computer Science.
J. Comput. Sci. Technol., 2011

2010
Rank Internet Service Quality Using Multiple Features: A Machine Learning Approach.
Proceedings of the Sixth International Conference on Semantics Knowledge and Grid, 2010

2009
XConveryer: Guarantee Hadoop Throughput via Lightweight OS-Level Virtualization.
Proceedings of the Eighth International Conference on Grid and Cooperative Computing, 2009


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