Yixin Ji

Orcid: 0009-0006-9309-3323

According to our database1, Yixin Ji authored at least 40 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AffectVerse: Emotional World Models for Multimodal Affective Computing.
CoRR, May, 2026

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling.
CoRR, April, 2026

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning.
CoRR, April, 2026

When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning.
CoRR, April, 2026

A multi-layer Bayesian trial-and-error learning algorithm for imbalanced classification.
Eng. Appl. Artif. Intell., 2026

Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders.
Bioinform., 2026

LBFC-MDG: Learnable Brain Functional Connectivity with Multi-Site Domain Generalization Enhances Diagnosis of Schizophrenia.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models.
CoRR, November, 2025

Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices.
IEEE Trans. Consumer Electron., May, 2025

Test-time Computing: from System-1 Thinking to System-2 Thinking.
CoRR, January, 2025

Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Deep Learning-Based Single-Frame Depth Reconstruction Empowered by Indirect Mapping.
IEEE Trans. Instrum. Meas., 2025

DMRL: A distributed multi-agent reinforcement learning algorithm for imbalanced classification.
Knowl. Based Syst., 2025

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Taming the Titans: A Survey of Efficient LLM Inference Serving.
Proceedings of the 18th International Natural Language Generation Conference, 2025

Beware of Calibration Data for Pruning Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Demonstration Augmentation for Zero-shot In-context Learning.
CoRR, 2024

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.
CoRR, 2024

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Exploring and Mitigating Shortcut Learning for Generative Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Demonstration Augmentation for Zero-shot In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder.
J. Ambient Intell. Humaniz. Comput., 2023

Test-Time Adaptation with Perturbation Consistency Learning.
CoRR, 2023

Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Isotropy-Enhanced Conditional Masked Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Early Exit with Disentangled Representation and Equiangular Tight Frame.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
Dilated Convolutional Neural Network for Early Mild Cognitive Impairment Classification of Brain Functional Networks.
J. Medical Imaging Health Informatics, 2021

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Semantic Locality-Aware Deformable Network for Clothing Segmentation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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