Yufan Zhou

Orcid: 0009-0006-6082-7669

According to our database1, Yufan Zhou authored at least 40 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Robust median consensus cubature Kalman filter for distributed sensor networks.
Digit. Signal Process., 2024

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.
CoRR, 2024

MMR: Evaluating Reading Ability of Large Multimodal Models.
CoRR, 2024

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models.
CoRR, 2024

ARTIST: Improving the Generation of Text-rich Images by Disentanglement.
CoRR, 2024

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation.
CoRR, 2024

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

TextLap: Customizing Language Models for Text-to-Layout Planning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Customization Assistant for Text-to-image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TRINS: Towards Multimodal Language Models that Can Read.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
MEMS Resonant Cantilevers for High-Performance Thermogravimetric Analysis of Chemical Decomposition.
Sensors, July, 2023

Advanced In Situ TEM Microchip with Excellent Temperature Uniformity and High Spatial Resolution.
Sensors, 2023

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.
CoRR, 2023

Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach.
CoRR, 2023

Shifted Diffusion for Text-to-image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning to Estimate 3D Human Pose from Point Cloud.
CoRR, 2022

Lafite2: Few-shot Text-to-Image Generation.
CoRR, 2022

Simulated Annealing Algorithm Based on Single-direction Greedy Decoding for Solving Corridor Allocation Problem.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Design and Application of Skirt Fit Software for Human Body Ontology Knowledge.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication, 2022

Towards Language-Free Training for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TiGAN: Text-Based Interactive Image Generation and Manipulation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Generic Approach for Enhancing GANs by Regularized Latent Optimization.
CoRR, 2021

LAFITE: Towards Language-Free Training for Text-to-Image Generation.
CoRR, 2021

Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels.
CoRR, 2021

VitaSi: A real-time contactless vital signs estimation system.
Comput. Electr. Eng., 2021

Model Optimization Method Based on Vertical Federated Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Meta-Learning with Neural Tangent Kernels.
Proceedings of the 9th International Conference on Learning Representations, 2021

MixKD: Towards Efficient Distillation of Large-scale Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variable.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Graph Neural Networks with Composite Kernels.
CoRR, 2020

Deep Learning in Next-Frame Prediction: A Benchmark Review.
IEEE Access, 2020

Learning Manifold Implicitly via Explicit Heat-Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Variational Adversarial Kernel Learned Imitation Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling.
CoRR, 2019

The construction of movie marketing index based on factor analysis.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2016
Power Spectrum-Based Genomic Feature Extraction from High-Throughput ChIP-seq Sequences.
Proceedings of the Intelligent Computing Theories and Application, 2016


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