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Jin Xie 谢晋

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Professor,
School of Intelligence Science and Technology,
Nanjing University, Suzhou Campus,
No. 1520, Taihu Avenue, Huqiu District,
Suzhou, China
Email: csjxie [@] nju [DOT] edu [DOT] cn

About me

I am currently a Professor, Nanjing University. I was a research scientist in the Department of Electrical and Computer Engineering, New York University Abu Dhabi and New York University Tandon School of Engineering. I did my Ph.D study in the Department of Computing, Hong Kong Polytechnic University, under the supervision of Prof. Lei Zhang.

Publications

  1. Ziyue Zhu, Zhanqian Wu, Zhenxin Zhu, Lijun Zhou, Haiyang Sun, Bing Wang, Kun Ma, Guang Chen, Hangjun Ye, Jian Yang and Jin Xie, " WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving", ICLR 2026. [arxiv] [project] [code]

  2. Kai Deng, Jiawei Xu, Jian Yang and Jin Xie, " VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences", ICRA 2026. [arxiv] [code]

  3. Kangjian Zhu, Haobo Jiang, Yigong Zhang, Jianjun Qian, Jian Yang and Jin Xie, " MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation", IEEE Robotics and Automation Letters 2025. [arxiv] [code]

  4. Kai Deng, Yigong Zhang, Jian Yang and Jin Xie, " GigaSLAM: Large-Scale Monocular SLAM with Hierarchical Gaussian Splats", SIGGRAPH Asia 2025. [arxiv] [code]

  5. Jiawei Xu, Kai Deng, Zexin Fan, Shenlong Wang, Jian Yang and Jin Xie, " AD-GS: Object-aware B-spline Gaussian Splatting for Self-supervised Autonomous Driving", ICCV 2025. [arxiv] [project] [code]

  6. Tianyu Zhang, Haobo Jiang, Jian Yang and Jin Xie, " DiffPCI: Large Motion Point Cloud Frame Interpolation with Diffusion Model", ICCV 2025. [arxiv] [code]

  7. Hang Yang, Le Hui, Jianjun Qian, Jian Yang and Jin Xie, " GSRecon: Efficient Generalizable Gaussian Splatting for Surface Reconstruction from Sparse Views", ICCV 2025. [arxiv] [code]

  8. Haobo Jiang, Jin Xie, Jian Yang, Liang Yu and Jianmin Zheng, " Generative Point Cloud Registration", ICML 2025. [pdf] [code]

  9. Ziyue Zhu, Jiang-jiang Liu, Jingdong Wang, Jian Yang, Shenlong Wang and Jin Xie, " Voxelsplat: Dynamic Gaussian Splatting as An Effective Loss for Occupancy and Flow Prediction", CVPR 2025. [arxiv] [project] [code]

  10. Haobo Jiang, Jin Xie, Jian Yang, Liang Yu and Jianmin Zheng, " Zero-shot RGB-D Point Cloud Registration with Pretrained Large Vision Model", CVPR 2025. [arxiv] [code]

  11. Yang Wu, Yun Zhu, Kaihua Zhang, Jianjun Qian, Jian Yang and Jin Xie, " WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion", CVPR 2025. [arxiv] [code]

  12. Yun Zhu, Le Hui, Hang Yang, Jianjun Qian, Jian Yang and Jin Xie, " Learning Class Prototypes for Unified 3D Object Detection with Sparse Supervision", CVPR 2025. [arxiv] [code]

  13. Qian Deng, Le Hui, Jian Yang and Jin Xie, " Sketchy Bounding-box Supervision for 3D Instance Segmentation", CVPR 2025. [arxiv] [code]

  14. Hanxiao Sun, Yupeng Gao, Jian Yang, Jin Xie and Beibei Wang, " SV-GS: Spatially-varying Gaussian Splatting for Inverse Rendering", CVPR 2025. [arxiv] [code]

  15. Wei Xie, Haobo Jiang, Yun Zhu, Jianjun Qian and Jin Xie, " NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation", AAAI 2025. [arxiv] [code]

  16. Jiawei Xu, Zexin Fan, Jian Yang and Jin Xie, " Grid4D: 4D Decomposed Hash Encoding for High-fidelity Dynamic Gaussian Splatting", NeurIPS 2024. [arxiv] [project] [code]

  17. Tianyu Zhang, Guocheng Qian, Jin Xie and Jian Yang, " FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation", ECCV 2024. [pdf] [code]

  18. Yang Wu, Kaihua Zhang, Jianjun Qian, Jin Xie and Jian Yang, " Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer", ECCV 2024. [pdf] [code]

  19. Yuehui Han, Can Xu, Rui Xu, Jianjun Qian and Jin Xie, " Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning", ECCV 2024. [pdf] [code]

  20. Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie and Jian Yang, " Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem", ECCV 2024. [pdf] [code]

  21. Can Xu, Yuehui Han, Rui Xu, Le Hui, Yaqi Shen, Jin Xie and Jian Yang, " Multi-attribute Interactions Matter for 3D Visual Grounding", CVPR 2024. [pdf] [code]

  22. Yun Zhu, Le Hui, Yaqi Shen and Jin Xie, " SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection", AAAI 2024. [arxiv] [code]

  23. Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie and Jian Yang , " SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation", NeurIPS 2023. [arxiv] [code]

  24. Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann and Jian Yang, " Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation", ICCV 2023. [pdf] [code]

  25. Le Hui, Linghua Tang, Yuchao Dai, Jin Xie and Jian Yang, "Efficient LiDAR Point Cloud Oversegmentation Network", ICCV 2023. [pdf] [code]

  26. Yaqi Shen, Le Hui, Jin Xie and Jian Yang, "Self-supervised 3D Scene Flow Estimation Guided by Superpoints", CVPR 2023. [arxiv] [code]

  27. Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang and Mathieu Salzmann, "Robust Outlier Rejection for 3D Registration with Variational Bayes", CVPR 2023. [arxiv] [code]

  28. Haobo Jiang, Kaihao Lan, Le Hui, Guanyu Li, Jin Xie, Shangbing Gao and Jian Yang, "Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking", IEEE Trans. on Neural Network and Learning Systems. [arxiv] [code]

  29. Le Hui, Linghua Tang, Yaqi Shen, Jin Xie and Jian Yang, "Learning Superpoint Graph Cut for 3D Instance Segmentation", NeurIPS 2022. [pdf] [code]

  30. Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie and Jian Yang, "3D Siamese Transformer Network for Single Object Tracking on Point Clouds", ECCV 2022. [arxiv] [code]

  31. Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie and Jian Yang, "RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation", ECCV 2022. [arxiv] [code]

  32. Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian and Jin Xie, "Generative Subgraph Contrast for Self-Supervised Graph Representation Learning", ECCV 2022. [arxiv] [code]

  33. Yikai Bian, Le Hui, Jianjun Qian and Jin Xie, "Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching", IROS 2022. [arxiv] [code]

  34. Rui Xu, Zongyan Han, Le Hui, Jianjun Qian and Jin Xie, "Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval", AAAI 2022. [arxiv] [code]

  35. Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie and Jian Yang, "Reliable Inlier Evaluation for Unsupervised Point Cloud Registration", AAAI 2022.[arxiv] [code]

  36. Le Hui, Mingmei Cheng, Jin Xie, Jian Yang and Ming-Ming Cheng, "Efficient 3D Point Cloud Feature Learning for Large-scale Place Recognition", IEEE Trans. on Image Processing, 2022.[arxiv] [code]

  37. Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie and Jian Yang, "3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds", NeurIPS 2021. [arxiv] [code]

  38. Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang and Jian Yang, "Superpoint Network for Point Cloud Oversegmetation", ICCV 2021. [pdf] [code]

  39. Le Hui, Hang Yang, Mingmei Cheng, Jin Xie and Jian Yang, "Pyramid Point Cloud Transformer for Large-scale Place Recognition", ICCV 2021. [pdf] [code]

  40. Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian and Jian Yang, "Sampling Network Guided Cross-entropy Method for Unsupervised Point Cloud Registration", ICCV 2021. [arxiv] [code]

  41. Yifan Zhao, Le Hui and Jin Xie, "SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering", ACM Multimedia 2021. [arxiv] [code]

  42. Haobo Jiang, Jin Xie, Jianjun Qian and Jian Yang, "Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration", IJCAI 2021. [arxiv]

  43. Haobo Jiang, Jin Xie and Jian Yang, "Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks", AAAI 2021. [pdf] [supp] [code]

  44. Mingmei Cheng, Le Hui, Jin Xie and Jian Yang, "SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network", AAAI 2021. [pdf] [code]

  45. Le Hui, Rui Xu, Jin Xie, Jianjun Qian and Jian Yang, "Progressive Point Cloud Deconvolution Generation Network", ECCV 2020. [arxiv] [code]

  46. Mingmei Cheng, Le Hui, Jin Xie, Jian Yang and Hui Kong, "Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation", IROS 2020. [arxiv] [code]

  47. Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu and Jian Yang, "Sequential 3D Human Pose and Shape Estimation From Point Clouds", CVPR 2020. [pdf ] [code]

  48. Jiaxin Chen, Jie Qin, Fan Zhu, Li Liu, Fumin Shen, Jin Xie and Ling Shao, "Deep Sketch-shape Hashing With Segmented 3D Stochastic Viewing", CVPR 2019. [pdf ] [code]

  49. Fan Zhu, Li Liu, Jin Xie, Ling Shao and Yi Fang, "Learning to Synthesize 3D Indoor Scenes from Monocular Images", ACM MM 2018. [pdf ]

  50. Guoxian Dai, Jin Xie and Yi Fang, "Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning", IJCAI 2018 . [pdf ]

  51. Jing Zhu, Jin Xie and Yi Fang, "Learning Adversarial 3D Model Generation with 2D Image Enhancer", AAAI 2018 . [pdf ]

  52. Guoxian Dai, Jin Xie and Yi Fang, "Metric-based Generative Adversarial Network", ACM MM 2017. [pdf ]

  53. Guoxian Dai, Jin Xie, Fan Zhu and Yi Fang, "Deep Correlation Learning for Sketch Based 3D Shape Retrieval", AAAI 2017. [pdf ]

  54. Fan Zhu, Jin Xie and Yi Fang, "Heat Diffusion Long-short Term Memory Learning for 3D Shape Analysis", ECCV 2016. [pdf ]

  55. Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao and Yi Fang, "Deep Non-linear Metric Learning for 3D Shape Retrieval ", IEEE Trans. on Cybernetics 2018. [pdf ]

  56. Jin Xie, Guoxian Dai and Yi Fang, "Deep Multi-metric Learning for Shape-based 3D Model Retrieval ", IEEE Trans. on Multimedia 2017. [pdf ]

  57. Jin Xie, Fan Zhu, Guoxian Dai, Ling Shao and Yi Fang, "Progressive Shape-distribution-encoder for Learning 3D Representation", IEEE Trans. on Image Processing 2017. [pdf ]

  58. Jin Xie, Guoxian Dai, Fan Zhu, Edward K.Wong and Yi Fang, "Deepshape:Deep-learned Shape Descriptor for 3D Shape Retrieval ", IEEE Trans. on Pattern Analysis and Machine Intelligence 2017. [pdf ]

  59. Jin Xie, Guoxian Dai, Fan Zhu and Yi Fang, "Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval", CVPR 2017. [pdf ]

  60. Jin Xie, Meng Wang and Yi Fang, "Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence", CVPR 2016. [pdf ]

  61. Jin Xie, Yi Fang, Fan Zhu and Edward K.Wong, " Deepshape:Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval", CVPR 2015. [pdf ]

  62. Jin Xie, Fan Zhu and Yi Fang, " Progressive Shape-distribution-encoder for 3D Shape Retrieval", ACM MM 2015. [pdf ]

  63. Jin Xie, Lei Zhang, Jane You and Simon Shiu, " Effective Texture Classification by Texton Encoding Induced Statistical Features", Pattern Recognition 2015. [pdf ]

  64. Jianquan Yang*, Jin Xie*, Guopu Zhu, Sam Kwong and Yunqing Shi (*: Equal contribution) , " An Effective Method for Detecting Double JPEG Compression with The Same Quantization Matrix", IEEE Trans. Information Forensics and Security 2014. [pdf ]