Xuancheng Ren
Orcid: 0000-0002-6994-2114
According to our database1,
Xuancheng Ren
authored at least 70 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
An Adaptive Learning Method for Solving the Extreme Learning Rate Problem of Transformer.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.
ACM Trans. Knowl. Discov. Data, 2022
CoRR, 2022
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.
CoRR, 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.
IEEE Trans. Knowl. Data Eng., 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019
Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO).
Inf. Sci., 2019
CoRR, 2019
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.
CoRR, 2019
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network Based on HowNet.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2018
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet.
CoRR, 2018
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
CoRR, 2018
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions.
CoRR, 2018
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.
CoRR, 2018
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing.
CoRR, 2017
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing.
CoRR, 2017
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.
CoRR, 2017
Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks.
CoRR, 2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting.
Proceedings of the 34th International Conference on Machine Learning, 2017