PCN: Point Completion Network. - Wentao Yuan; Tejas Khot; David Held; Christoph Mertz; Martial Hebert (3DV, 2018)

Intelligent Shipwreck Search Using Autonomous Underwater Vehicles. - Jeffrey Rutledge; Wentao Yuan; Jane Wu; Sam Freed; Amy Lewis; Zoë J. Wood; Timmy Gambin; Christopher M. Clark (ICRA, 2018)

A High-Selective Frequency Selective Surface With Hybrid Unit Cells. - Yuhong Ma; Weiwei Wu; Ye Yuan 009; Wentao Yuan; Naichang Yuan (IEEE Access, 2018)

Iterative Transformer Network for 3D Point Cloud. - Wentao Yuan; David Held; Christoph Mertz; Martial Hebert (CoRR, 2018)

Correlation feature-based detector for range distributed target in sea clutter. - Ye Yuan 009; Hong Zhu; Qingping Wang; Wentao Yuan; Naichang Yuan (EURASIP J. Adv. Signal Process., 2018)

Flexible Design Method for Microstrip Bandstop, Highpass, and Bandpass Filters Using Similar Defected Ground Structures. - Wentao Yuan; Xiuhan Liu; Hongshu Lu; Weiwei Wu; Naichang Yuan (IEEE Access, 2019)

DeepGMR: Learning Latent Gaussian Mixture Models for Registration. - Wentao Yuan; Benjamin Eckart; Kihwan Kim; Varun Jampani; Dieter Fox; Jan Kautz (ECCV (5), 2020)

SORNet: Spatial Object-Centric Representations for Sequential Manipulation. - Wentao Yuan; Chris Paxton 001; Karthik Desingh; Dieter Fox (CoRL, 2021)

Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models. - Benjamin Eckart; Wentao Yuan; Chao Liu 064; Jan Kautz (CVPR, 2021)

STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering. - Wentao Yuan; Zhaoyang Lv; Tanner Schmidt; Steven Lovegrove (CVPR, 2021)

TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers. - Yikang Ding; Wentao Yuan; Qingtian Zhu; Haotian Zhang; Xiangyue Liu; Yuanjiang Wang; Xiao Liu (CVPR, 2022)

KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo. - Yikang Ding; Qingtian Zhu; Xiangyue Liu; Wentao Yuan; Haotian Zhang; Chi Zhang (ECCV (31), 2022)

Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives. - Wentao Yuan; Qingtian Zhu; Xiangyue Liu; Yikang Ding; Haotian Zhang; Chi Zhang (ECCV (15), 2022)

KD-MVS: Knowledge Distillation Based Self-supervised Learning for MVS. - Yikang Ding; Qingtian Zhu; Xiangyue Liu; Wentao Yuan; Haotian Zhang; Chi Zhang (CoRR, 2022)

Post-Stack Impedance Inversion Based on Spatio-Temporal Neural Network. - Jian Zhang 081; Hui Sun; Wentao Yuan; Chen Yang; Yiran Xue (IEEE Geosci. Remote. Sens. Lett., 2022)

M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place. - Wentao Yuan; Adithyavairavan Murali; Arsalan Mousavian; Dieter Fox (CoRL, 2023)

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. - Xiangyun Meng; Nathan Hatch; Alexander Lambert; Anqi Li 001; Nolan Wagener; Matthew Schmittle; Joonho Lee; Wentao Yuan; Zoey Qiuyu Chen; Samuel Deng; Greg Okopal; Dieter Fox; et al. (Robotics: Science and Systems, 2023)

Ground-Penetrating Radar (GPR) Attenuation Compensation Based on Spatio-Temporal Neural Network. - Chen Yang; Jian Zhang 081; Yiran Xue; Wentao Yuan (IEEE Geosci. Remote. Sens. Lett., 2023)

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models. - Jiafei Duan; Wentao Yuan; Wilbert Pumacay; Yi Ru Wang; Kiana Ehsani; Dieter Fox; Ranjay Krishna (CoRL, 2024)

Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning. - Adam Fishman; Aaron Walsman; Mohak Bhardwaj; Wentao Yuan; Balakumar Sundaralingam; Byron Boots; Dieter Fox (CoRL, 2024)

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction in Robotics. - Wentao Yuan; Jiafei Duan; Valts Blukis; Wilbert Pumacay; Ranjay Krishna; Adithyavairavan Murali; Arsalan Mousavian; Dieter Fox (CoRL, 2024)

Evaluating Robustness of Visual Representations for Object Assembly Task Requiring Spatio-Geometrical Reasoning. - Chahyon Ku; Carl Winge; Ryan Diaz; Wentao Yuan; Karthik Desingh (ICRA, 2024)

ARC-CNN: An Accurate and Efficient Deep Learning Model for Apple Ripeness Using SE Modules and Depthwise Convolutions. - Yihe Zhu; Sixuan Li; Wentao Yuan (SSIP, 2024)

Objects and Actions: Learning Representations for Open-World Robotics - Wentao Yuan (2024)

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation. - Jiafei Duan; Wilbert Pumacay; Nishanth Kumar; Yi Ru Wang; Shulin Tian; Wentao Yuan; Ranjay Krishna; Dieter Fox; Ajay Mandlekar; Yijie Guo (ICLR, 2025)

Vote-Tree-Planner: Optimizing Execution Order in LLM-based Task Planning Pipeline via Voting. - Chaoyuan Zhang; Zhaowei Li; Wentao Yuan (CoRR, 2025)

PointArena: Probing Multimodal Grounding Through Language-Guided Pointing. - Long Cheng; Jiafei Duan; Yi Ru Wang; Haoquan Fang; Boyang Li; Yushan Huang; Elvis Wang; Ainaz Eftekhar; Jason Lee; Wentao Yuan; Rose Hendrix; Noah A. Smith; et al. (CoRR, 2025)

A Novel Ultra-Safe Multilabel and Multitask Classification Method for Complex Power Quality Disturbances. - Yi Luo; Zhiwei Huang; Jieting Wu; Huarui Wang; Peicheng Xie; Shiheng Li; Kaicheng Li; Wentao Yuan; Aoao Xu (IEEE Trans. Ind. Informatics, 2025)

GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training. - Adithyavairavan Murali; Balakumar Sundaralingam; Yu-Wei Chao; Wentao Yuan; Jun Yamada; Mark Carlson; Fabio Ramos 001; Stan Birchfield; Dieter Fox; Clemens Eppner (CoRR, 2025)