Yixin Ji

Orcid: 0009-0006-9309-3323

According to our database1, Yixin Ji authored at least 31 papers between 2018 and 2025.

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

Timeline

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Bibliography

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

Taming the Titans: A Survey of Efficient LLM Inference Serving.
CoRR, April, 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

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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