Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. - Yuyin Zhou; David Dreizin; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Alan L. Yuille (MLMI@MICCAI, 2019)

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. - Yuyin Zhou; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Angtian Wang; Elliot K. Fishman; Alan L. Yuille; Seyoun Park (MICCAI (2), 2019)

Adversarial Metric Attack for Person Re-identification. - Song Bai 001; Yingwei Li 002; Yuyin Zhou; Qizhu Li; Philip H. S. Torr (CoRR, 2019)

Learning Transferable Adversarial Examples via Ghost Networks. - Yingwei Li 002; Song Bai 001; Yuyin Zhou; Cihang Xie; Zhishuai Zhang; Alan L. Yuille (AAAI, 2020)

Neural Architecture Search for Lightweight Non-Local Networks. - Yingwei Li 002; Xiaojie Jin; Jieru Mei; Xiaochen Lian; Linjie Yang; Cihang Xie; Qihang Yu; Yuyin Zhou; Song Bai 001; Alan L. Yuille (CVPR, 2020)

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. - Yingwei Li 002; Song Bai 001; Cihang Xie; Zhenyu Liao 003; Xiaohui Shen; Alan L. Yuille (ECCV (11), 2020)

AtomNAS: Fine-Grained End-to-End Neural Architecture Search. - Jieru Mei; Yingwei Li 002; Xiaochen Lian; Xiaojie Jin; Linjie Yang; Alan L. Yuille; Jianchao Yang (ICLR, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (AAAI, 2021)

Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. - Huaijin Pi; Huiyu Wang; Yingwei Li 002; Zizhang Li; Alan L. Yuille (BMVC, 2021)

Shape-Texture Debiased Neural Network Training. - Yingwei Li 002; Qihang Yu; Mingxing Tan; Jieru Mei; Peng Tang; Wei Shen 002; Alan L. Yuille; Cihang Xie (ICLR, 2021)

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. - Aishan Liu; Xinyun Chen; Yingwei Li 002; Chaowei Xiao; Xun Yang 001; Xianglong Liu 001; Dawn Song; Dacheng Tao; Alan L. Yuille; Anima Anandkumar (ACM Multimedia, 2021)

Adversarial Metric Attack and Defense for Person Re-Identification. - Song Bai 001; Yingwei Li 002; Yuyin Zhou; Qizhu Li; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Harnessing Perceptual Adversarial Patches for Crowd Counting. - Shunchang Liu; Jiakai Wang; Aishan Liu; Yingwei Li 002; Yijie Gao; Xianglong Liu 001; Dacheng Tao (CCS, 2022)

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. - Vipul Gupta; Zhuowan Li; Adam Kortylewski; Chenyu Zhang; Yingwei Li 002; Alan L. Yuille (CVPR, 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; 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 (CVPR, 2022)

Learning from Temporal Gradient for Semi-supervised Action Recognition. - Junfei Xiao; Longlong Jing; Lin Zhang 040; Ju He; Qi She; Zongwei Zhou; Alan L. Yuille; Yingwei Li 002 (CVPR, 2022)

Context-Enhanced Stereo Transformer. - Weiyu Guo; Zhaoshuo Li; Yongkui Yang; Zheng Wang 027; Russell H. Taylor; Mathias Unberath; Alan L. Yuille; Yingwei Li 002 (ECCV (32), 2022)

R4D: Utilizing Reference Objects for Long-Range Distance Estimation. - Yingwei Li 002; Tiffany Chen; Maya Kabkab; Ruichi Yu; Longlong Jing; Yurong You; Hang Zhao (ICLR, 2022)

Fast AdvProp. - Jieru Mei; Yucheng Han; Yutong Bai; Yixiao Zhang 001; Yingwei Li 002; Xianhang Li; Alan L. Yuille; Cihang Xie (ICLR, 2022)

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. - Longlong Jing; Ruichi Yu; Henrik Kretzschmar; Kang Li; Charles R. Qi; Hang Zhao; Alper Ayvaci; Xu Chen; Dillon Cower; Yingwei Li 002; Yurong You; Han Deng; et al. (ICRA, 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; 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; et al. (CoRR, 2022)

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. - Siwei Yang; Longlong Jing; Junfei Xiao; Hang Zhao; Alan L. Yuille; Yingwei Li 002 (CoRR, 2022)

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. - Yingwei Li 002; Charles R. Qi; Yin Zhou; Chenxi Liu 001; Dragomir Anguelov (CVPR, 2023)

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models. - Zhimin Chen; Longlong Jing; Yingwei Li 002; Bing Li 008 (NeurIPS, 2023)

Class-Level Confidence Based 3D Semi-Supervised Learning. - Zhimin Chen; Longlong Jing; Liang Yang; Yingwei Li 002; Bing Li 008 (WACV, 2023)

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder. - Zhimin Chen; Yingwei Li 002; Longlong Jing; Liang Yang; Bing Li 008 (CoRR, 2023)

Continual Adversarial Defense. - Qian Wang 001; Yaoyao Liu 001; Hefei Ling; Yingwei Li 002; Qihao Liu; Ping Li 021; Jiazhong Chen; Alan L. Yuille; Ning Yu (CoRR, 2023)

SAM-Guided Masked Token Prediction for 3D Scene Understanding. - Zhimin Chen; Liang Yang; Yingwei Li 002; Longlong Jing; Bing Li 008 (NeurIPS, 2024)