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ORCIDYingwei Li 0002
Person information
- affiliation (PhD 2022): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Yingwei Li — disambiguation page
- Yingwei Li 0001
![[0009-0002-2968-0735]](https://dblp.org/img/orcid-mark.12x12.png "0009-0002-2968-0735")
— Google Inc., USA (and 1 more) - Yingwei Li 0003 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
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2020 – today
- 2025
[c23]Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang:
Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. IROS 2025: 8934-8941- [i26]Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang:
Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. CoRR abs/2510.06209 (2025) - 2024
- [c22]Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li:
SAM-Guided Masked Token Prediction for 3D Scene Understanding. NeurIPS 2024 - [i25]Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li:
SAM-Guided Masked Token Prediction for 3D Scene Understanding. CoRR abs/2410.12158 (2024) - 2023
- [c21]Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov:
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR 2023: 9329-9339 - [c20]Zhimin Chen, Longlong Jing, Yingwei Li, Bing Li:
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models. NeurIPS 2023 - [c19]Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li:
Class-Level Confidence Based 3D Semi-Supervised Learning. WACV 2023: 633-642 - [i24]Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov:
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR abs/2306.03206 (2023) - [i23]Zhimin Chen, Yingwei Li, Longlong Jing, Liang Yang, Bing Li:
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder. CoRR abs/2311.10887 (2023) - [i22]Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan L. Yuille, Ning Yu:
Continual Adversarial Defense. CoRR abs/2312.09481 (2023) - 2022
- [c18]Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS 2022: 2055-2069 - [c17]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CVPR 2022: 3242-3252 - [c16]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CVPR 2022: 5068-5078 - [c15]Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR 2022: 17161-17170 - [c14]Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li:
Context-Enhanced Stereo Transformer. ECCV (32) 2022: 263-279 - [c13]Yingwei Li, Tiffany L. Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao:
R4D: Utilizing Reference Objects for Long-Range Distance Estimation. ICLR 2022 - [c12]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. ICLR 2022 - [c11]Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA 2022: 366-373 - [i21]Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan:
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR abs/2203.08195 (2022) - [i20]Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille:
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CoRR abs/2204.02285 (2022) - [i19]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. CoRR abs/2204.09838 (2022) - [i18]Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR abs/2206.03666 (2022) - [i17]Yingwei Li, Tiffany L. Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao:
R4D: Utilizing Reference Objects for Long-Range Distance Estimation. CoRR abs/2206.04831 (2022) - [i16]Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li:
Class-Level Confidence Based 3D Semi-Supervised Learning. CoRR abs/2210.10138 (2022) - [i15]Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li:
Context-Enhanced Stereo Transformer. CoRR abs/2210.11719 (2022) - [i14]Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan L. Yuille, Yingwei Li:
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. CoRR abs/2212.03517 (2022) - 2021
- [j1]Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr:
Adversarial Metric Attack and Defense for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2119-2126 (2021) - [c10]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. AAAI 2021: 3225-3233 - [c9]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. BMVC 2021: Article 141 - [c8]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. ICLR 2021 - [c7]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [e1]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i13]Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao:
Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR abs/2109.07986 (2021) - [i12]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. CoRR abs/2111.07547 (2021) - [i11]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR abs/2111.13241 (2021) - 2020
- [c6]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c5]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CVPR 2020: 10294-10303 - [c4]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. ECCV (11) 2020: 795-813 - [c3]Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. ICLR 2020 - [i10]Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. CoRR abs/2003.12798 (2020) - [i9]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CoRR abs/2004.01961 (2020) - [i8]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. CoRR abs/2010.05981 (2020) - [i7]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. CoRR abs/2010.16074 (2020)
2010 – 2019
- 2019
- [c2]Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. MICCAI (2) 2019: 155-163 - [c1]Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille:
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. MLMI@MICCAI 2019: 461-469 - [p1]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 69-91 - [i6]Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr:
Adversarial Metric Attack for Person Re-identification. CoRR abs/1901.10650 (2019) - [i5]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. CoRR abs/1904.00979 (2019) - [i4]Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille:
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. CoRR abs/1906.09540 (2019) - [i3]Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation. CoRR abs/1909.00906 (2019) - [i2]Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang:
AtomNAS: Fine-Grained End-to-End Neural Architecture Search. CoRR abs/1912.09640 (2019) - 2018
- [i1]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. CoRR abs/1812.03413 (2018)
Coauthor Index
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