Xi Zhou

Orcid: 0000-0003-2867-1765

Affiliations:
  • University of Chinese Academy of Sciences, Beijing, China


According to our database1, Xi Zhou authored at least 47 papers between 2012 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
TIDE: Achieving Balanced Subject-Driven Image Generation via Target-Instructed Diffusion Enhancement.
CoRR, September, 2025

SGEU: enhancing LLM reasoning via backward exemplar generation and verification.
Appl. Intell., July, 2025

ISIPN: Intention-Semantic Incongruity Perception Network for Multimodal Metaphor Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Self-Distillation Across Modalities: Enhancing Cross-Modal Correlation Perception for Multimodal Fake News Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

LyRE: Learning Varying Fusion Degrees with Hierarchical Aggregation to Improve Multimodal Misinformation Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Dual-Channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

OpenForecast: A Large-Scale Open-Ended Event Forecasting Dataset.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Low-Resource Language Expansion and Translation Capacity Enhancement for LLM: A Study on the Uyghur.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering.
IEEE J. Biomed. Health Informatics, April, 2024

Relational concept enhanced prototypical network for incremental few-shot relation classification.
Knowl. Based Syst., 2024

Pruning Residual Networks in Multilingual Neural Machine Translation to Improve Zero-Shot Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

IDHPre: Intradialytic Hypotension Prediction Model Based on Fully Observed Features.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

DNMDA: Deep Non-negative Matrix Factorization with Multi-level Integration for MiRNA-Drug Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Artificial intelligence accelerates multi-modal biomedical process: A Survey.
Neurocomputing, November, 2023

A Slot-Shared Span Prediction-Based Neural Network for Multi-Domain Dialogue State Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach.
BMC Bioinform., 2022

A geometric deep learning framework for drug repositioning over heterogeneous information networks.
Briefings Bioinform., 2022

2021
Variance error of multi-classification based anomaly detection for time series data.
J. Comput. Methods Sci. Eng., 2021

In silico drug repositioning using deep learning and comprehensive similarity measures.
BMC Bioinform., 2021

SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations.
Briefings Bioinform., 2021

NMFCDA: Combining randomization-based neural network with non-negative matrix factorization for predicting CircRNA-disease association.
Appl. Soft Comput., 2021

2020
Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information Network.
Proceedings of the Intelligent Computing Theories and Application, 2020

A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2020

2018
A Type-Based Blocking Technique for Efficient Entity Resolution over Large-Scale Data.
J. Sensors, 2018

Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine.
Complex., 2018

A Neural Network Based Model for Loanword Identification in Uyghur.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Improved Spoken Uyghur Segmentation for Neural Machine Translation.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Using Semantic Knowledge in the Uyghur-Chinese Person Name Transliteration.
J. Inf. Process. Syst., 2017

A Novel Data Integration Framework Based on Unified Concept Model.
IEEE Access, 2017

Log-linear Models for Uyghur Segmentation in Spoken Language Translation.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Domain adaption based on lda and word embedding in SMT.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Joint learning of contextal and global features for named entity disambiguation.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Improving adversarial neural machine translation with prior knowledge.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Exploiting Bishun to Predict the Pronunciation of Chinese.
Computación y Sistemas, 2016

Recurrent Neural Network Based Loanwords Identification in Uyghur.
Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation, 2016

Research for Uyghur-Chinese Neural Machine Translation.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Graph-based short text Entity Linking: A data integration perspective.
Proceedings of the 2016 International Conference on Asian Language Processing, 2016

2015
Optimized Uyghur Segmentation for Statistical Machine Translation.
Proceedings of the Natural Language Processing and Information Systems, 2015

2014
A Phrase Table Filtering Model Based on Binary Classification for Uyghur-Chinese Machine Translation.
J. Comput., 2014

Co-occurrence Degree Based Word Alignment: A Case Study on Uyghur-Chinese.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

2012
Semantically enhanced Uyghur Information Retrieval Model.
J. Softw., 2012


  Loading...