Yujian Liu

Orcid: 0000-0002-9512-1272

According to our database1, Yujian Liu authored at least 27 papers between 2017 and 2025.

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Bibliography

2025
Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction.
CoRR, August, 2025

MoGaFace: Momentum-Guided and Texture-Aware Gaussian Avatars for Consistent Facial Geometry.
CoRR, August, 2025

Copula hidden Markov model with unknown number of states.
Comput. Stat., June, 2025

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning.
CoRR, April, 2025

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.
CoRR, April, 2025

Nonparametric Bayesian modeling on infinite mixture Student <i>t</i> copulas.
Commun. Stat. Simul. Comput., March, 2025

SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation.
CoRR, January, 2025

Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EK-Means: Towards Making Ensemble K-Means Work for Image-Based Data Analysis Without Prior Knowledge of K.
Proceedings of the 11th International Conference on Information Systems Security and Privacy, 2025

2024
Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images.
Int. J. Intell. Syst., 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR, 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Correcting Diffusion Generation Through Resampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Improving Mental Health Classifier Generalization with Pre-diagnosis Data.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation.
Biomed. Signal Process. Control., 2022

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Audrey: A Personalized Open-Domain Conversational Bot.
CoRR, 2020

2019
Spectrum Reconstruction of the Light-Field Multimodal Imager.
IEEE Access, 2019

2017
Tibetan Syllable-Based Functional Chunk Boundary Identification.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017


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