国际会议高级程序委员会 (Senior Program Committee, SPC) 成员：AAAI Conference on Artificial Intelligence (AAAI), International Joint Conference on Artificial Intelligence (IJCAI).
国际会议专刊主席 (Special Issue Chair)：Asian Conference on Pattern Recognition 2017.
国际期刊审稿人：IEEE Transactions on Pattern Analysis and Machine Intelligence， IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cybernetics, Pattern Recognition, Pattern Recognition Letters, Image and Vision Computing.
国际会议程序委员会成员：IEEE Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV).
国际期刊客座编辑：Pattern Recognition.
会议
1. Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang and Jian Yang, Superpoint Network for Point Cloud Oversegmetation, International Conference on Comupter Vision, ICCV 2021.
2. Le Hui, Hang Yang, Mingmei Cheng, Jin Xie and Jian Yang, Pyramid Point Cloud Transformer for Large-scale Place Recognition, International Conference on Comupter Vision, ICCV 2021.
3. Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian and Jian Yang, Sampling Network Guided Cross-entropy Method for Unsupervised Point Cloud Registration, International Conference on Comupter Vision, ICCV 2021.
4. Yifan Zhao, Le Hui and Jin Xie, SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering, ACM Conference on Multimedia, ACM MM 2021.
5. Haobo Jiang, Jin Xie, Jianjun Qian and Jian Yang, Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration, International Joint Conference on Artificial Intelligence, IJCAI 2021.
6. Haobo Jiang, Jin Xie and Jian Yang, Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks, AAAI Conference on Artificial Intelligence, AAAI 2021.
7. Mingmei Cheng, Le Hui, Jin Xie and Jian Yang, SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network, AAAI Conference on Artificial Intelligence, AAAI 2021.
8. Le Hui, Rui Xu, Jin Xie, Jianjun Qian and Jian Yang, Progressive Point Cloud Deconvolution Generation Network, European Conference on Computer Vision, ECCV 2020.
9. Mingmei Cheng, Le Hui, Jin Xie, Jian Yang and Hui Kong, Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020.
10. Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu and Jian Yang, Sequential 3D Human Pose and Shape Estimation From Point Clouds, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020.
11. Guoxian Dai，Jin Xie and Yi Fang, Siamese CNN-BiLSTM architecture for 3D shape representation learning，International Joint Conference on Artificial Intelligence，IJCAI 2018.
12. Jing Zhu，Jin Xie and Yi Fang, Learning adversarial 3D model generation with 2D image enhancer，AAAI Conference on Artificial Intelligence 2018，AAAI 2018.
13. Guoxian Dai，Jin Xie and Yi Fang, Metric-based generative adversarial network，ACM Conference on Multimedia，ACM MM 2017.
14. Jin Xie, Guoxian Dai, Fan Zhu and Yi Fang, Learning Barycentric representations of 3D shapes for sketch-based 3D shape retrieval, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017.
15. Jin Xie, Meng Wang and Yi Fang, Learned binary spectral shape descriptor for 3D shape correspondence, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016.
16. Jin Xie, Yi Fang, Fan Zhu and Edward K.Wong, Deepshape:deep learned shape descriptor for 3D shape matching and retrieval, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015.
17. Jin Xie, Fan Zhu, Guoxian Dai and Yi Fang, Progressive shape-distribution-encoder for 3D shape retrieval, ACM Conference on Multimedia，ACM MM 2015.
18. Yi Fang, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu and Edward Wong, 3D deep shape descriptor, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015.
19. Guoxian Dai, Jin Xie, Fan Zhu and Yi Fang, Deep correlation learning for sketch based 3D shape retrieval, AAAI Conference on Artificial Intelligence, AAAI 2017.
20. Fan Zhu, Jin Xie and Yi Fang, Heat diffusion long-short term memory learning for 3D shape analysis, European Conference on Computer Vision, ECCV 2016.
21. Fan Zhu, Jin Xie and Yi Fang, Learning cross-domain neural networks for sketch-based 3D shape retrieval, AAAI Conference on Artificial Intelligence, AAAI 2016.
期刊
1. Jin Xie, Guoxian Dai, Fan Zhu, Edward K.Wong and Yi Fang, Deepshape:deep-learned shape descriptor for 3D shape retrieval, IEEE Trans. Pattern Analysis and Machine Intelligence, 2017.
2. Jin Xie, Guoxian Dai and Yi Fang, Deep multi-metric learning for shape-based 3D model retrieval, IEEE Trans. Multimedia, 2017.
3. Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao and Yi Fang, Deep non-linear metric learning for 3D shape retrieval, IEEE Trans. Cybernetics, 2018.
4. Jin Xie, Fan Zhu, Guoxian Dai, Ling Shao and Yi Fang, Progressive shape-distribution-encoder, IEEE Trans. Image Processing, 2017.
5. Jin Xie, Lei Zhang, Jane You and Simon Shiu, Effective texture classification by texton encoding induced statistical features, Pattern Recognition, 2015.
6. Jianquan Yang#, Jin Xie#, Guopu Zhu, and Yunqing Shi, An effective method for detecting double JPEG compression with the same quantization matrix, IEEE Trans. Information Forensics and Security, 2014 (#: Equal contribution).
7. Jin Xie and Yi Fang, Dynamic texture recognition with video set based collaborative representation, Image and Vision Computing, 2016.
9. Guoxian Dai, Jin Xie and Yi Fang, Deep correlated holistic metric learning for sketch-based 3D shape retrieval, IEEE Trans. Image Processing, 2018.
10. Fan Zhu, Ling Shao, Jin Xie and Yi Fang, From handcrafted to learned representations for human action recognition: a survey, Image and Vision Computing, 2016