Alvin Wan

Orcid: 0000-0003-2625-5899

According to our database1, Alvin Wan authored at least 21 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Representation Bending for Large Language Model Safety.
CoRR, April, 2025

Representation Bending for Large Language Model Safety.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
The Super Weight in Large Language Models.
CoRR, 2024

2023
CathAI: fully automated coronary angiography interpretation and stenosis estimation.
npj Digit. Medicine, 2023

UPSCALE: Unconstrained Channel Pruning.
Proceedings of the International Conference on Machine Learning, 2023

AutoFocusFormer: Image Segmentation off the Grid.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficiently Designing Efficient Deep Neural Networks
PhD thesis, 2022

2021
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.
CoRR, 2021

NBDT: Neural-Backed Decision Tree.
Proceedings of the 9th International Conference on Learning Representations, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing.
IEEE Data Eng. Bull., 2020

SegNBDT: Visual Decision Rules for Segmentation.
CoRR, 2020

Visual Transformers: Token-based Image Representation and Processing for Computer Vision.
CoRR, 2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.
CoRR, 2020

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort.
CoRR, 2020

NBDT: Neural-Backed Decision Trees.
CoRR, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.
CoRR, 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


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