Xiankai Lu Phd

Research Professor, Shandong University. Prior to that, I was a Research Associate in IIAI, UAE

Biography:

• • I am a Research Professor in Shandong University. I was a research associate with Inception Institute of Artificial Intelligence at Abu Dhabi, UAE (2018-2020). I am working closely with Dr. Wenguan Wang and Prof. Jianbing Shen. Prior to that, I completed my Ph.D study at Shanghai Jiao Tong University. During the fall of 2015 to the fall of 2018, I was working with Prof. Bingbing Ni and Prof. Chao Ma at Shanghai Jiao Tong University. I received B. E. from the department of automation in Shan Dong University in 2012. During the fall of 2009 to fall of 2010, I was a visiting student at Harbin Institute of Technology.

Research:

• Video Analysis and Understanding:  video object tracking, video object segmentation/detection, video temporal grounding

• Machine Learning: deep learning, weakly supervised learning, meta learning

• Visual Relation Modeling: graph neural network,  spatiotemporal representation learning, graph matching

News: 

• 10/2023, one paper about video correspondance learning is accepted to IEEE TIP (CCF-A), congratulation to Zheyun Qin. 

• 09/2023, one paper about unified 3D segmentation (instance, semantic, panoptic) is accepted to NeurIPS 2023 （软件学院第一篇）, congratulation to Zheyun Qin. 

• 09/2023， we set up special issue about Transfomer on <山东大学学报>（中文核心）[https://mp.weixin.qq.com/s/WhVli2asYo_1aJAzL7WdgQ]

• 08/2023, we set up a special issue on  'Frontiers in Remote Sensing' website [https://www.frontiersin.org/research-topics/59165/recent-trends-of-vision-transformer-vit-in-remote-sensing-methods-and-application]

• 08/2023, one paper about Video temporal grounding is accepted to IEEE TMM, congratulation to Tong Zhang.

• 07/2023, one paper about video based human mesh reconstruction is accepted to ACM International Conference on Multimedia 2023 (ACM MM), congratulation to Peng Wu.

• 07/2023, one paper about Video Corpus Moment Retrieval is accepted to IEEE TCSVT, congratulation to Xuemei Zhang.

• 04/2023, our team wins the first price in the 2rd "山东高速杯" Intelligent construction and intelligent transportation, congratulation to Zhicheng Wang, Chenchen Han and Peng Wu, etc. 

• 04/2023, one paper Adaptive Learning With Incomplete Data  is accepted to IEEE TPAMI.

• 02/2023, I served as the session Chair of AAAI 2023.

• 01/2023, one paper about video instance segmentation is accepted to IEEE/CAA Journal of Automatica Sinica (JAS), congratulation to Zheyun Qin.

• 11/2022, one paper about self-supervised video correspondance learning is accepted to Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), congratulation to Zheyun Qin.

• 07/2022, One paper about label  denoise is accepted to ECCV 2022, congratulations to Qi Wei.

• 07/2022, One paper about safe semi-supervised learning is accepted to ACMMM 2022 (oral), congratulations to Rundong He.

• 05/2022, I serve as the editorial board of Frontiers in Imaging [https://www.frontiersin.org/journals?domain=all].

• 03/2022, Two papers about video instance segmentation and semi-supervised learning are accepted to CVPR 2022.

• 11/2021, One paper about Distilled Siamese Networks for Visual Tracking is accepted to IEEE TPAMI.

• 10/2021, One paper about Video Moment Retrieval is accepted to IEEE TMM, congratulation to Junya Teng.

• 09/2021, One paper about relational object segmentation is accepted to IEEE TPAMI.

• 07/2021, One paper (IEEE CSVT 2019) becomes the ESI highly cited paper. 

• 07/2021, One paper is accepted to ACM Multimedia 2021, congratulation to Zheyun Qin.

• 03/2021, One paper is accepted to CVPR 2021. 

• 01/2021, I serve as the IJCAI2021 Senior Program Committee Member. 

• 12/2020, One paper is accepted to IEEE TPAMI.

• 07/2020, one paper is accepted to ECCV 2020.

• 03/2020, one paper is accepted to CVPR 2020.

• 01/2020, one paper is accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence.

• 09/2019, one paper is accepted to IEEE Transactions on Circuits and Systems for Video Technology.

• 07/2019, two papers are accepted to ICCV 2019, one is about zero-shot video object segmentation, another one is about motion deblurring.

• 02/2019, one paper is accepted to CVPR 2019

• 01/2019, Special issue about deep video analysis on Pattern Recognition, call for papers: here

• 11/2018, I was awarded the outstanding review of Neurocomputing

• 08/2018, I joined IIAI and looked for interns about deep learning and computer vision

  • 07/2018, our paper "Deep Regression Tracking with Shrinkage Loss" is accepted to ECCV 2018

  • 05/2018, I finished my Phd defense from Shanghai Jiao Tong University

  • 03/2018, I joined in YouTu Lab Tencent as an Intern

Publication:

• Zheyun Qin, Xiankai Lu, D Liu, X Nie, Y Yin, J Shen, AC Loui. Reformulating Graph Kernels for Self-supervised Space-Time Correspondence Learning, IEEE Transactions on Image Processing (CCF-A)[paper]

• Zheyun Qin, C Han, Q Wang, X Nie, Y Yin, Xiankai Lu*. Unified 3D Segmenter As Prototypical Classifiers, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)  (CCF-A).[paper]

• Peng Wu, Xiankai Lu*, Jianbing Shen, Yilong Yin. Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos, Proceedings of the 31st ACM International Conference on Multimedia (ACMMM 2023) (CCF-A) [paper][code]

• Y Gong, Z Li, W Liu, Xiankai Lu, X Liu, IW Tsang, Y Yin.  Missingness-Pattern-Adaptive Learning With Incomplete Data,  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 (CCF A) . [paper]

•  Zheyun Qin, Xiankai Lu*, X Nie, D Liu, Y Yin, W Wang. Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows, IEEE/CAA Journal of Automatica Sinica, 2023.  [paper]

• Zheyun Qin, Xiankai Lu*,  Xiushan Nie,  Yilong Yin, Jianbing Shen. Exposing the Self-supervised Space-Time Correspondence  Learning via Graph Kernels,  Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). (CCF-A) [paper]

• J Shen, Y Liu, X Dong, Xiankai Lu, FS Khan, S Hoi. Distilled Siamese networks for visual tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. （CCF-A， 中科院一区）

• Qi Wei, Haoliang Sun,Xiankai Lu, Yilong Yin. "Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization",in the European Conference on Computer Vision (ECCV), 2022. 

• Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin. "Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data", in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

•   Junya Teng, Xiankai Lu*, Yongshun Gong,  Xinfang Liu, Xiushan Nie, Yilong Yin, "Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval", IEEE TMM, 2021.

• Xiankai Lu, Wenguan Wang, Jianbing Shen,  D Crandall, L Van Gool, "Segmenting Objects from Relational Visual Data", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (CCF A) [paper][code]

• Zheyun Qin, Xiankai Lu*, Xiushan Nie, Xiantong Zhen, Yilong Yin. Learning Hierarchical Embeddings for Video Instance Segmentation, ACMM MM2021 (CCF A). [paper]

• Wenbin Ge, Xiankai Lu*, Jianbing Shen.  "Video Object Segmentation Using Global and Instance Embedding Learning", in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (CCF A).[paper]

• Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo "Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (CCF A)

•  Xiankai Lu, Chao Ma, Jianbing Shen, Xiaokang Yang, Ian Reid, and Ming-Hsuan Yang  "Deep Object Tracking with Shrinkage Loss", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 (CCF A)

• • Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Val Gool,  "Video Object Segmentation with Episodic Graph Memory Networks," in European Conference on Computer Vision  (ECCV), 2020.  [paper][code]

  • Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David Crandall, Steven C.H.Hoi,  "Learning Video Object Segmentation from Unlabeled Videos," in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.  [paper][code]

  •  Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling, "Paying Attention to Video Object Pattern Understanding", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.[paper][code]

  • Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, "Adaptive Region Proposal with Channel Regularization for Robust Object Tracking", IEEE Transactions on Circuits and Systems for Video Technology, 2019. [paper][code]

• Wenguan Wang*, Xiankai Lu*, Jianbing Shen, David J Crandall, Ling Shao,  "Zero-shot video object segmentation via attentive graph neural networks ", in the IEEE International Conference on Computer Vision (ICCV), 2019. [paper][code]

  • Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao, "Human-Aware Motion Deblurring", in the IEEE International Conference on Computer Vision (ICCV), 2019. [paper][code] 

  • Xiankai Lu*, Wenguan Wang*, Chao Ma, Jianbing Shen, Ling Shao, and Fatih Porikli, "See More, Know More: Unsupervised Video Object Segmentation with Co-attention Siamese Network," in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.  [paper][code]

  • Xiankai Lu*, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, and Ming-Hsuan Yang, "Deep Regression Tracking with Shrinkage Loss," in European Conference on Computer Vision (ECCV), 2018. [paper][code]

PROFESSIONAL ACTIVITIES:

• Journal Reviewer

IEEE Transactions on Pattern Analysis and Machine Intelligence,

   IEEE Transaction on Neural Network and Learning System, 

IEEE Transactions on Circuits and Systems for Video Technology,

    Pattern Recognition, 

    Neurocomputing, 

    Multimedia Tools and Applications,  

    Pattern Recognition Letter

• Conference Reviewer / Program Committee 

      CVPR 2020/2021/2022/2023/2024,  AAAI 2024/2023/2022/2021/2020/2019, IJCAI 2020/2019, ICCV 2019/2021/2023, WACV 2020/2021/2022/2023, ICLR 2022/2023, ICML 2023.