Alvin Wan

26 papers A* 8Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Representation Bending for Large Language Model Safety.
ACL (1)
Ashkan Yousefpour, Taeheon Kim, Ryan Sungmo Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi
2025 J jnl
Representation Bending for Large Language Model Safety.
CoRR
Ashkan Yousefpour, Taeheon Kim, Ryan S. Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi
2024 J jnl
The Super Weight in Large Language Models.
CoRR
Mengxia Yu, De Wang, Qi Shan, Colorado Reed, Alvin Wan
2023 A* conf
AutoFocusFormer: Image Segmentation off the Grid.
CVPR
Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
2023 J jnl
AutoFocusFormer: Image Segmentation off the Grid.
CoRR
Ziwen Chen, Kaushik Patnaik, Shuangfei Zhai, Alvin Wan, Zhile Ren, Alexander G. Schwing, Alex Colburn, Fuxin Li
2023 J jnl
CathAI: fully automated coronary angiography interpretation and stenosis estimation.
npj Digit. Medicine
Robert Avram, Jeffrey E. Olgin, Zeeshan Ahmed, Louis Verreault-Julien, Alvin Wan, Joshua Barrios, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Jean-Claude Tardif, Derek Y. So, Krishan Soni, Geoffrey H. Tison
2023 A* conf
UPSCALE: Unconstrained Channel Pruning.
ICML
Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan
2023 J jnl
UPSCALE: Unconstrained Channel Pruning.
CoRR
Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan
2022 — —
Efficiently Designing Efficient Deep Neural Networks
Alvin Wan
2021 J jnl
CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.
CoRR
Robert Avram, Jeffrey E. Olgin, Alvin Wan, Zeeshan Ahmed, Louis Verreault-Julien, Sean Abreau, Derek Wan, Joseph E. Gonzalez, Derek Y. So, Krishan Soni, Geoffrey H. Tison
2021 A* conf
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.
CVPR
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2021 A* conf
NBDT: Neural-Backed Decision Tree.
ICLR
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
2021 A* conf
Visual Transformers: Where Do Transformers Really Belong in Vision Models?
ICCV
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
2020 J jnl
CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort.
CoRR
David E. Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, Kalyanaraman Shankari, Alvin Wan, Thomas Zachariah
2020 J jnl
CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing.
IEEE Data Eng. Bull.
David E. Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, Kalyanaraman Shankari, Alvin Wan, Thomas Zachariah
2020 A* conf
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CVPR
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
CoRR
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.
CoRR
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2020 J jnl
NBDT: Neural-Backed Decision Trees.
CoRR
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
2020 J jnl
SegNBDT: Visual Decision Rules for Segmentation.
CoRR
Alvin Wan, Daniel Ho, Younjin Song, Henk Tillman, Sarah Adel Bargal, Joseph E. Gonzalez
2020 J jnl
Visual Transformers: Token-based Image Representation and Processing for Computer Vision.
CoRR
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda
2018 J jnl
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.
CoRR
Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I. Jordan, Joseph E. Gonzalez, Sergey Levine
2018 A* conf
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.
CVPR
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
2018 A* conf
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.
ICRA
Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer
2017 J jnl
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.
CoRR
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
2017 J jnl
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud.
CoRR
Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer