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ORCIDYingwei Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Yingwei Li 0001 — Google Inc., USA (and 1 more)
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2020 – today
- 2024
[j12]Guoqian Jiang
, Pengcheng Nan, Jingchao Zhang, Yingwei Li, Xiaoli Li:
Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data. IEEE Trans. Instrum. Meas. 73: 1-14 (2024)- [j11]Yingwei Li, Xiang Feng, Huiqun Yu:
A Dynamic Knowledge-Guided Coevolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 7054-7064 (2024) - [c25]Luyang Zhu, Yingwei Li, Nan Liu, Hao Peng, Dawei Yang, Ira Kemelmacher-Shlizerman:
M&M VTO: Multi-Garment Virtual Try-On and Editing. CVPR 2024: 1346-1356 - [i26]Luyang Zhu, Yingwei Li, Nan Liu, Hao Peng, Dawei Yang, Ira Kemelmacher-Shlizerman:
M&M VTO: Multi-Garment Virtual Try-On and Editing. CoRR abs/2406.04542 (2024) - 2023
- [c24]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 - [c23]Zhimin Chen, Longlong Jing, Yingwei Li, Bing Li:
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models. NeurIPS 2023 - [c22]Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li:
Class-Level Confidence Based 3D Semi-Supervised Learning. WACV 2023: 633-642 - [i25]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) - [i24]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) - [i23]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
- [j10]Yingwei Li, Xiang Feng, Huiqun Yu:
A constrained multiobjective evolutionary algorithm with the two-archive weak cooperation. Inf. Sci. 615: 415-430 (2022) - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]Yingwei Li, Tiffany Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao:
R4D: Utilizing Reference Objects for Long-Range Distance Estimation. ICLR 2022 - [c15]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. ICLR 2022 - [c14]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 - [i22]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) - [i21]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) - [i20]Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie:
Fast AdvProp. CoRR abs/2204.09838 (2022) - [i19]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) - [i18]Yingwei Li, Tiffany 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) - [i17]Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li:
Class-Level Confidence Based 3D Semi-Supervised Learning. CoRR abs/2210.10138 (2022) - [i16]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) - [i15]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
- [j9]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) - [c13]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 - [c12]Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille:
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. BMVC 2021: 141 - [c11]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 - [c10]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] - [i14]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) - [i13]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) - [i12]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
- [j8]Yingwei Li, Yunfei Ma, Shaoqing Ma, Lia Maria Hocke, Yunjie Tong, Blaise deB. Frederick:
A low-cost multichannel NIRS oximeter for monitoring systemic low-frequency oscillations. Neural Comput. Appl. 32(19): 15629-15641 (2020) - [j7]Chunwei Wang, Lina Yu, Huixian Chang, Sheng Shen, Fang Hou, Yingwei Li:
Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System. Wirel. Commun. Mob. Comput. 2020: 8841417:1-8841417:14 (2020) - [c9]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c8]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 - [c7]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 - [c6]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 - [i11]Ziqi Zhang, Xinge Zhu, Yingwei Li, Xiangqun Chen, Yao Guo:
Adversarial Attacks on Monocular Depth Estimation. CoRR abs/2003.10315 (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
- [j6]Yingwei Li, Wen Zhao, Jiliang Chen, Weihang Kong, Xingbin Liu, Ronghua Xie:
Modeling and optimal design of fiber-optic probe for medium detection based on computer simulation. Clust. Comput. 22(5): 11207-11226 (2019) - [j5]Yingwei Li, Yuntong Yang, Shaoqing Ma, Lei Li, Yanjun Wang, Xingbin Liu, Ronghua Xie:
Theoretical model construction and structure optimization of electromagnetic flow transducer based on neural network. J. Intell. Fuzzy Syst. 37(3): 3489-3498 (2019) - [c5]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 - [c4]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
- [c3]Lina Yu, Haizheng Gao, Fang Hou, Zhengping Hu, Zhaohui Li, Yingwei Li:
Discussion on Training Students' Ability to Solve Complex Engineering Problems from the Perspective of Professional Certification. eLEOT 2018: 1-7 - [c2]Yingwei Li, Zhiwei Li, Quansheng Ren, Lin Li, Lina Yu, Zhengping Hu:
Research on the Innovative Education Practical Teaching Mode of Electronic Information for Outstanding Engineer. eLEOT 2018: 73-78 - [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) - 2012
- [j4]Yingwei Li, Xiaoming Li:
Sensing characteristics of conductance sensor for measuring the volume fraction and axial velocity in oil-water pipe flow. Int. J. Simul. Process. Model. 7(1/2): 98-106 (2012) - 2011
- [j3]Reza Moazzez Estanjini, Yingwei Lin, Yingwei Li, Dong Guo, Ioannis Ch. Paschalidis:
Optimizing Warehouse Forklift Dispatching Using a Sensor Network and Stochastic Learning. IEEE Trans. Ind. Informatics 7(3): 476-486 (2011) - 2010
- [j2]Yingwei Li, Huaiqin Wu:
Global stability analysis in Cohen-Grossberg neural networks with delays and inverse Hölder neuron activation functions. Inf. Sci. 180(20): 4022-4030 (2010)
2000 – 2009
- 2008
- [j1]Huaiqin Wu, Yingwei Li:
Existence and stability of periodic solution for BAM neural networks with discontinuous neuron activations. Comput. Math. Appl. 56(8): 1981-1993 (2008) - [c1]Yingwei Li, Zhengtao Yu, Xiangyan Meng, Wen-Gang Che, Cunli Mao:
Question Classification Based on Incremental Modified Bayes. FGCN (2) 2008: 149-152
Coauthor Index
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