| 2026 | SIGGRAPH | Deep Motion Warping via Phase-Conditioned Diffusion Autoencoder. | Bowen Zheng, Linjun Wu, Xinwei Jiang, Yujin Chai, Zijiao Zeng, He Wang, Xiaogang Jin |
| 2025 | SIGGRAPH | AutoKeyframe: Autoregressive Keyframe Generation for Human Motion Synthesis and Editing. | Bowen Zheng, Ke Chen, Yuxin Yao, Zijiao Zeng, Xinwei Jiang, He Wang, Joan Lasenby, Xiaogang Jin |
| 2024 | SiggraphA | RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture. | Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Zijiao Zeng, Qilong Kou, He Wang, Xiaogang Jin |
| 2023 | ICASSP | Structured-Anchor Projected Clustering for Hyperspectral Images. | Guozhu Jiang, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai |
| 2023 | ICASSP | Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection. | Yuyun Lian, Yongshan Zhang, Xuxiang Feng, Xinwei Jiang, Zhihua Cai |
| 2023 | ICASSP | Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection. | Jianwen Qi, Jie Zhang, Yongshan Zhang, Xinwei Jiang, Zhihua Cai |
| 2023 | SiggraphA | A Locality-based Neural Solver for Optical Motion Capture. | Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin |
| 2022 | ICASSP | Graph Learning Based Autoencoder for Hyperspectral Band Selection. | Yongshan Zhang, Xinxin Wang, Zhenyu Wang, Xinwei Jiang, Yicong Zhou |
| 2022 | IGARSS | Superpixel Correction Based Label Propagation for Hyperspectral Images Classification. | Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai |
| 2022 | SIGGRAPH | Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks. | Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha |
| 2018 | IJCNN | Functional Locality Preserving Projection for Dimensionality Reduction. | Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong |
| 2018 | PAKDD | Shared Deep Kernel Learning for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu |
| 2017 | VTC | Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking. | Xinwei Jiang, Tiankui Zhang, Zhimin Zeng |
| 2016 | ICPR | Enhancement of Low Light Level Images with coupled dictionary learning. | Jie Yang, Xinwei Jiang, Chunhong Pan, Cheng-Lin Liu |
| 2016 | IJCNN | Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. | Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang |
| 2015 | BMVC | Multi-task Gaussian Process Regression-based Image Super Resolution. | Xinwei Jiang, Jie Yang, Lei Ma, Yiping Yang |
| 2015 | IGARSS | Shadow removal in remote sensing images using features sample matting. | Lei Ma, Bitao Jiang, Xinwei Jiang, Ye Tian |
| 2014 | ICIP | Cluster constraint based sparse NMF for hyperspectral imagery unmixing. | Xinwei Jiang, Lei Ma, Yiping Yang |
| 2014 | IGARSS | Hyperspectral data recovery with the gradient field of coincident panchromatic imagery. | Lei Ma, Bitao Jiang, Xinwei Jiang |
| 2014 | PAKDD | Gaussian Processes Autoencoder for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai |
| 2012 | IJCNN | Thin Plate Spline Latent Variable Models for dimensionality reduction. | Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang |
| 2010 | PAKDD | Learning Gradients with Gaussian Processes. | Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan |