A method combined of support vector machine and F-scores for customer classification. - Zhiwen Huang; Ganglong Duan; Jianren Wang (FSKD, 2010)

Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification. - Ganglong Duan; Long Wei; Jianren Wang; Hongqi Wang (ICICS, 2013)

Research on the natural image super-resolution reconstruction algorithm based on compressive perception theory and deep learning model. - Ganglong Duan; Wenxiu Hu; Jianren Wang (Neurocomputing, 2016)

Prioritization and static error compensation for multi-camera collaborative tracking in augmented reality. - Jianren Wang; Long Qian; Ehsan Azimi; Peter Kazanzides (VR, 2017)

Integration of a Low-Cost Three-Axis Sensor for Robot Force Control. - Shuyang Chen; Jianren Wang; Peter Kazanzides (IRC, 2018)

Physics-Aware 3D Mesh Synthesis. - Jianren Wang; Yihui He (3DV, 2019)

Bounding Box Regression With Uncertainty for Accurate Object Detection. - Yihui He; Chenchen Zhu; Jianren Wang; Marios Savvides; Xiangyu Zhang 005 (CVPR, 2019)

Prediction-Tracking-Segmentation. - Jianren Wang; Yihui He; Xiaobo Wang; Xinjia Yu; Xia Chen (CoRR, 2019)

Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks. - Yihui He; Jianing Qian; Jianren Wang (CoRR, 2019)

Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion. - Yihui He; Jianren Wang (CoRR, 2019)

PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection. - Xia Chen; Jianren Wang; David Held; Martial Hebert (3DV, 2020)

CLOUD: Contrastive Learning of Unsupervised Dynamics. - Jianren Wang; Yujie Lu; Hang Zhao (CoRL, 2020)

Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting. - Xinshuo Weng; Jianren Wang; Sergey Levine; Kris Kitani; Nicholas Rhinehart (CoRL, 2020)

GSIR: Generalizable 3D Shape Interpretation and Reconstruction. - Jianren Wang; Zhaoyuan Fang (ECCV (13), 2020)

Deep Mixture Density Network for Probabilistic Object Detection. - Yihui He; Jianren Wang (IROS, 2020)

Uncertainty-aware Self-supervised 3D Data Association. - Jianren Wang; Siddharth Ancha; Yi-Ting Chen 001; David Held (IROS, 2020)

Motion Prediction in Visual Object Tracking. - Jianren Wang; Yihui He (IROS, 2020)

3D Multi-Object Tracking: A Baseline and New Evaluation Metrics. - Xinshuo Weng; Jianren Wang; David Held; Kris Kitani (IROS, 2020)

AlignNet: A Unifying Approach to Audio-Visual Alignment. - Jianren Wang; Zhaoyuan Fang; Hang Zhao (WACV, 2020)

Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting. - Xinshuo Weng; Jianren Wang; Sergey Levine; Kris Kitani; Nicholas Rhinehart (CoRR, 2020)

PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding. - Xia Chen; Jianren Wang; Martial Hebert (CoRR, 2020)

AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics. - Xinshuo Weng; Jianren Wang; David Held; Kris Kitani (CoRR, 2020)

PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection. - Xia Chen; Jianren Wang; David Held; Martial Hebert (CoRR, 2020)

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. - Jianren Wang; Haiming Gang; Siddarth Ancha; Yi-Ting Chen 001; David Held (3DV, 2021)

Adversarially Robust Imitation Learning. - Jianren Wang; Ziwen Zhuang; Yuyang Wang 005; Hang Zhao (CoRL, 2021)

Wanderlust: Online Continual Object Detection in the Real World. - Jianren Wang; Xin Wang 066; Yue Shang-Guan; Abhinav Gupta 001 (ICCV, 2021)

RB2: Robotic Manipulation Benchmarking with a Twist. - Sudeep Dasari; Jianren Wang; Joyce Hong; Shikhar Bahl; Yixin Lin; Austin S. Wang; Abitha Thankaraj; Karanbir Chahal; Berk Çalli; Saurabh Gupta 001; David Held; Lerrel Pinto; et al. (NeurIPS Datasets and Benchmarks, 2021)

MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks. - Yuyang Wang 005; Jianren Wang; Zhonglin Cao; Amir Barati Farimani (CoRR, 2021)

Optimization of Urban Bus Stops Setting Based on Data Mining. - Ganglong Duan; Xin Ma; Jianren Wang; Zhishi Wang; Yan Wang (Int. J. Pattern Recognit. Artif. Intell., 2021)

SEMI: Self-supervised Exploration via Multisensory Incongruity. - Jianren Wang; Ziwen Zhuang; Hang Zhao (ICRA, 2022)

Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects. - Yujie Lu; Jianren Wang; Vikash Kumar (CoRR, 2022)

Molecular contrastive learning of representations via graph neural networks. - Yuyang Wang 005; Jianren Wang; Zhonglin Cao; Amir Barati Farimani (Nat. Mach. Intell., 2022)

Robot Parkour Learning. - Ziwen Zhuang; Zipeng Fu; Jianren Wang; Christopher G. Atkeson; Sören Schwertfeger; Chelsea Finn; Hang Zhao (CoRL, 2023)

Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. - Jianren Wang; Sudeep Dasari; Mohan Kumar Srirama; Shubham Tulsiani; Abhinav Gupta 001 (ICCV, 2023)

One-shot Video Imitation via Parameterized Symbolic Abstraction Graphs. - Jianren Wang; Kangni Liu; Dingkun Guo; Xian Zhou; Christopher G. Atkeson (CoRR, 2024)

Evolutionary Policy Optimization. - Jianren Wang; Yifan Su; Abhinav Gupta 001; Deepak Pathak (CoRR, 2025)