Xiangyu Yue

Orcid: 0000-0002-6887-2046

According to our database1, Xiangyu Yue authored at least 56 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
ChemLLM: A Chemical Large Language Model.
CoRR, 2024

InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions.
CoRR, 2024

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities.
CoRR, 2024

2023
Scenic: a language for scenario specification and data generation.
Mach. Learn., October, 2023

OneLLM: One Framework to Align All Modalities with Language.
CoRR, 2023

Online Vectorized HD Map Construction using Geometry.
CoRR, 2023

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition.
CoRR, 2023

Towards Unified and Effective Domain Generalization.
CoRR, 2023

Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models.
CoRR, 2023

ImageBind-LLM: Multi-modality Instruction Tuning.
CoRR, 2023

Revisiting DETR Pre-training for Object Detection.
CoRR, 2023

Backdoor Defense with Non-Adversarial Backdoor.
CoRR, 2023

Meta-Transformer: A Unified Framework for Multimodal Learning.
CoRR, 2023

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.
CoRR, 2023

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models.
CoRR, 2023

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Beating Backdoor Attack at Its Own Game.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D Environment Modeling for Falsification and Beyond with Scenic 3.0.
Proceedings of the Computer Aided Verification - 35th International Conference, 2023

2022
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States.
Comput. Environ. Urban Syst., 2022

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation.
IEEE Trans. Cybern., 2022

Prompt Vision Transformer for Domain Generalization.
CoRR, 2022

MLSeg: Image and Video Segmentation as Multi-Label Classification and Selected-Label Pixel Classification.
CoRR, 2022

Self-Supervised Pretraining Improves Self-Supervised Pretraining.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models.
Proceedings of the Computer Vision - ECCV 2022, 2022

RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation.
Int. J. Comput. Vis., 2021

2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition.
CoRR, 2021

Multi-source Few-shot Domain Adaptation.
CoRR, 2021

Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets.
CoRR, 2021

Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Scene-aware Learning Network for Radar Object Detection.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Unsupervised Point Cloud Pre-training via Occlusion Completion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving.
CoRR, 2020

Pre-Training by Completing Point Clouds.
CoRR, 2020

Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation.
CoRR, 2020

Using Ensemble Classifiers to Detect Incipient Anomalies.
CoRR, 2020

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI.
CoRR, 2020

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.
CoRR, 2020

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation.
CoRR, 2020

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Scenic: a language for scenario specification and scene generation.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

Multi-source Domain Adaptation for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud.
Proceedings of the International Conference on Robotics and Automation, 2019

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Scenic: Language-Based Scene Generation.
CoRR, 2018

A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

A Novel Domain Adaptation Framework for Medical Image Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Counterexample-Guided Data Augmentation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SqueezeNext: Hardware-Aware Neural Network Design.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Formal Specification for Deep Neural Networks.
Proceedings of the Automated Technology for Verification and Analysis, 2018


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