Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. - Bichen Wu; Alvin Wan; Xiangyu Yue 001; Peter H. Jin; Sicheng Zhao; Noah Golmant; Amir Gholaminejad; Joseph Gonzalez 001; Kurt Keutzer (CVPR, 2018)

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. - Bichen Wu; Alvin Wan; Xiangyu Yue 001; Kurt Keutzer (ICRA, 2018)

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning. - Vladimir Feinberg; Alvin Wan; Ion Stoica; Michael I. Jordan; Joseph E. Gonzalez; Sergey Levine (CoRR, 2018)

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. - 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 (CVPR, 2020)

NBDT: Neural-Backed Decision Trees. - Alvin Wan; Lisa Dunlap; Daniel Ho; Jihan Yin; Scott Lee; Henry Jin; Suzanne Petryk; Sarah Adel Bargal; Joseph E. Gonzalez (CoRR, 2020)

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort. - David E. Culler; Prabal Dutta; Gabe Fierro; Joseph E. Gonzalez; Nathan Pemberton; Johann Schleier-Smith; Kalyanaraman Shankari; Alvin Wan; Thomas Zachariah (CoRR, 2020)

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. - Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Bichen Wu; Zijian He; Zhen Wei; Kan Chen; Yuandong Tian; Matthew Yu; Peter Vajda; Joseph E. Gonzalez (CoRR, 2020)

Visual Transformers: Token-based Image Representation and Processing for Computer Vision. - Bichen Wu; Chenfeng Xu; Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Masayoshi Tomizuka; Kurt Keutzer; Peter Vajda (CoRR, 2020)

SegNBDT: Visual Decision Rules for Segmentation. - Alvin Wan; Daniel Ho; Younjin Song; Henk Tillman; Sarah Adel Bargal; Joseph E. Gonzalez (CoRR, 2020)

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing. - David E. Culler; Prabal Dutta; Gabe Fierro; Joseph E. Gonzalez; Nathan Pemberton; Johann Schleier-Smith; Kalyanaraman Shankari; Alvin Wan; Thomas Zachariah (IEEE Data Eng. Bull., 2020)

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. - Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Bichen Wu; Zijian He; Zhen Wei; Kan Chen; Yuandong Tian; Matthew Yu; Peter Vajda; Joseph E. Gonzalez (CVPR, 2021)

Visual Transformers: Where Do Transformers Really Belong in Vision Models? - Bichen Wu; Chenfeng Xu; Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Zhicheng Yan 001; Masayoshi Tomizuka; Joseph Gonzalez 001; Kurt Keutzer; Peter Vajda (ICCV, 2021)

NBDT: Neural-Backed Decision Tree. - Alvin Wan; Lisa Dunlap; Daniel Ho; Jihan Yin; Scott Lee; Suzanne Petryk; Sarah Adel Bargal; Joseph E. Gonzalez (ICLR, 2021)

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

Efficiently Designing Efficient Deep Neural Networks - Alvin Wan (2022)

AutoFocusFormer: Image Segmentation off the Grid. - Ziwen Chen; Kaushik Patnaik; Shuangfei Zhai; Alvin Wan; Zhile Ren; Alexander G. Schwing; Alex Colburn; Fuxin Li (CVPR, 2023)

UPSCALE: Unconstrained Channel Pruning. - Alvin Wan; Hanxiang Hao; Kaushik Patnaik; Yueyang Xu; Omer Hadad; David Güera; Zhile Ren; Qi Shan (ICML, 2023)

CathAI: fully automated coronary angiography interpretation and stenosis estimation. - 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; et al. (npj Digit. Medicine, 2023)

The Super Weight in Large Language Models. - Mengxia Yu; De Wang; Qi Shan; Colorado Reed; Alvin Wan (CoRR, 2024)

Representation Bending for Large Language Model Safety. - Ashkan Yousefpour; Taeheon Kim; Ryan Sungmo Kwon; Seungbeen Lee; Wonje Jeung; Seungju Han 002; Alvin Wan; Harrison Ngan; Youngjae Yu; Jonghyun Choi (ACL (1), 2025)

Representation Bending for Large Language Model Safety. - Ashkan Yousefpour; Taeheon Kim; Ryan S. Kwon; Seungbeen Lee; Wonje Jeung; Seungju Han 002; Alvin Wan; Harrison Ngan; Youngjae Yu; Jonghyun Choi (CoRR, 2025)