Yunhui Guo

Orcid: 0009-0000-2931-9160

According to our database1, Yunhui Guo authored at least 52 papers between 2015 and 2024.

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Bibliography

2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection.
CoRR, 2024

Continual Distillation Learning.
CoRR, 2024

Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation.
CoRR, 2024

KITE: A Kernel-based Improved Transferability Estimation Method.
CoRR, 2024

Wideband Beamforming for Near-Field Communications with Circular Arrays.
CoRR, 2024

Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data.
CoRR, 2024

PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation.
CoRR, 2024

Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Segment Every Out-of-Distribution Object.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Inconsistency-Based Data-Centric Active Open-Set Annotation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Continual Learning in an Open and Dynamic World.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Optimizing Antenna Topology for Massive MIMO Planar Arrays With Line-of-Sight Deterministic Channels.
IEEE Trans. Veh. Technol., September, 2023

Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition.
IEEE Signal Process. Lett., 2023

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective.
CoRR, 2023

AUC Maximization in Imbalanced Lifelong Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Antenna Topology Optimization for Massive MIMO Near-Field Wireless Communications with Line-of-Sight Deterministic Channels.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Audio-Visual Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Energy Efficiency Optimization for Compact Massive MIMO Wireless Systems.
IEEE Trans. Veh. Technol., 2022

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images.
J. Comput. Civ. Eng., 2022

Capacity Analysis and Optimal Spacing Design for Compact Array Massive MIMO Systems With Finite Aperture.
IEEE Commun. Lett., 2022

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Free Hyperbolic Neural Networks with Limited Radii.
CoRR, 2021

MAT: Processing In-Memory Acceleration for Long-Sequence Attention.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
Efficient Learning across Multiple Domains with Deep Neural Networks.
PhD thesis, 2020

Improved Schemes for Episodic Memory-based Lifelong Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

A Broader Study of Cross-Domain Few-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning.
CoRR, 2019

Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient.
CoRR, 2019

Depthwise Convolution is All You Need for Learning Multiple Visual Domains.
CoRR, 2019

Efficient Sparse Processing in Smart Home Applications.
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019

Hierarchical and Distributed Machine Learning Inference Beyond the Edge.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

SpotTune: Transfer Learning Through Adaptive Fine-Tuning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Depthwise Convolution Is All You Need for Learning Multiple Visual Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Survey on Methods and Theories of Quantized Neural Networks.
CoRR, 2018

2017
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Collaborative Expert Recommendation for Community-Based Question Answering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

LBMF: Log-Bilinear Matrix Factorization for Recommender Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Constrained Preference Embedding for Item Recommendation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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