Shuang Zeng

According to our database1, Shuang Zeng authored at least 29 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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5
10
6
6
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5
2
5
2
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
SCA-YOLO: a new small object detection model for UAV images.
Vis. Comput., March, 2024

Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system.
Eng. Appl. Artif. Intell., January, 2024

A New Federated Learning Framework Against Gradient Inversion Attacks.
CoRR, 2024

Selective Aggregation for Low-Rank Adaptation in Federated Learning.
CoRR, 2024

Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping.
CoRR, 2024

Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial-temporal feature interaction fusion network.
Adv. Eng. Informatics, 2024

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A multilayer human motion prediction perceptron by aggregating repetitive motion.
Mach. Vis. Appl., November, 2023

Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework.
Appl. Soft Comput., May, 2023

Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning.
CoRR, 2023

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training.
CoRR, 2023

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation.
CoRR, 2023

YOLOAL: Focusing on the Object Location for Detection on Drone Imagery.
IEEE Access, 2023

Coarse-to-Fine Entity Representations for Document-Level Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DISK: Domain-constrained Instance Sketch for Math Word Problem Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement.
CoRR, 2020

Evaluating Text Coherence at Sentence and Paragraph Levels.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Double Graph Based Reasoning for Document-level Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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