About me

I am a post-doctoral researcher in Department of Computer Science and Technology in the Tsinghua University. I work with Prof. Jun Zhu. Before that, I received the Ph.D degree from the Institute of Information Science of Beijing Jiaotong University (BJTU) in 2020 (advised by Prof. Yao Zhao). I was a Visiting Student with the Department of Computer Science, University of Rochester (UR) from 2018 to 2019, working with Prof. Ji Liu.

I am looking for a job. Please feel free to contact me if you have any job vacancy.

Research Interests

Machine learning, particularly data selection, zero-shot learning, and adversarial learning.

Computer vision, particularly image clustering, classification, and retrieval, motion segmentation, activity recognition, and video summarization.

News

  • 2021/09 -- Our paper "Does deep machine vision have just noticeable difference (JND)?" is accepted by IEEE Trans. on CSVT.
  • 2021/08 -- I obtained the Youth Foundation of National Natural Science Foundation of China.
  • 2021/06 -- I obtained the China Postdoctoral Science Foundation.
  • 2021/05 -- A chinese survey about propotype learning has been accepted by the Journal of Software.
  • 2021/03 -- Our paper "Double Low-rank Representation with Projection Distance Penalty for Clustering" has been accepted by CVPR2021.
  • 2021/02 -- Our paper "Does deep machine vision have just noticeable difference (JND)?" is available here.
  • 2020/12 -- A review for recent works in Few-shot Learning is available here.
  • 2020/04 -- Our paper has been accepted by Image and Vision Computing.
  • 2020/03 -- Our paper has been accepted by IEEE Trans. on CSVT.
  • 2020/02 -- Our paper has been accepted by CVPR 2020.
  • 2019/12 -- I accepted the invitation to serve as Program Committee (PC) member of IJCAI 2020.
  • 2019/12 -- Our paper has been accepted by CVM 2020.
  • 2019/12 -- Our paper has been accepted by ACM TIST.
  • 2019/11 -- One paper has been accepted by TMM.
  • 2019/11 -- One paper has been accepted by NeuCom.
  • 2019/10 -- I won the National Scholarship again.

Publications

机器学习中原型学习研究进展
Xingxing Zhang, Zhenfeng Zhu, Yawei Zhao, Yao Zhao
软件学报, 2021
Taking Modality-free Human Identification as Zero-shot Learning
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng
Double Low-Rank Representation With Projection Distance Penalty for Clustering
Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF]
Auto-weighted low-rank representation for clustering
Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
Defensive Few-shot Adversarial Learning
Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo
Does deep machine vision have just noticeable difference (JND)?
Jian Jin, Xingxing Zhang, Xin Fu, Huan Zhang, Weisi Lin, Jian Lou, Yao Zhao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
[PDF]
Hierarchical Prototype Learning for Zero-Shot Recognition
Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu
IEEE Transactions on Multimedia (TMM), 2019
[PDF]
ProLFA: Representative Prototype Selection for Local Feature Aggregation
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao
Neurocomputing (NeuCom), 2019
[PDF]
Seeing All From a Few: L1-Norm-Induced Discriminative Prototype Selection
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Dongxia Chang, Ji Liu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018
[PDF]
Sparsity induced prototype learning via Lp,1-norm grouping
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao
Journal of Visual Communication and Image Representation (JVCI), 2018
[PDF]
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[PDF]
Learning a General Assignment Model for Video Analytics
Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Dongxia Chang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017
[PDF]
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[PDF]
To See in the Dark:  N2DGAN for Background Modeling in Nighttime Scene
Zhenfeng Zhu, Yingying Meng, Deqiang Kong, Xingxing Zhang, Yandong Guo, Yao Zhao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020
[PDF]
Convolutional Prototype Learning for Zero-Shot Recognition
Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng
Image and Vision Computing (IVC), 2019
[PDF]
Canonical Correlation Analysis With L2,1-Norm for Multiview Data Representation
Meixiang Xu, Zhenfeng Zhu, Xingxing Zhang, Yao Zhao, Xuelong Li
IEEE Transactions on Cybernetics (TCYB), 2019
[PDF]
A Theoretical Revisit to Linear Convergence for Saddle Point Problems
Wendi Wu, Yawei Zhao, En Zhu, Xinwang Liu, Xingxing Zhang, Lailong Luo, Shixiong Wang, Jianping Yin
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
[PDF]
Understand Dynamic Regret with Switching Cost for Online Decision Making
Yawei Zhao, Qian Zhao, Xingxing Zhang, En Zhu, Xinwang Liu, Jianping Yin
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019
[PDF]
Diffusion Induced Graph Representation Learning
Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang, Jian Cheng, Yao Zhao
Neurocomputing (NeuCom), 2019
[PDF]
A Novel Generalized Arnold Transform-based Zero-Watermarking Scheme
Lin Sun, Jiucheng Xu, Xingxing Zhang, Wan Dong, Yun Tian
Applied Mathematics & Information Sciences (Appl Math Inf Sci), 2015
[PDF]
An Image Watermarking Scheme Using Arnold Transform and Fuzzy Smooth Support Vector Machine
Lin Sun, Jiucheng Xu, Xingxing Zhang, Yun Tian
Mathematical Problems in Engineering (MPE), 2015
[PDF]
多视角数据失补全
Xu Yang, Zhenfeng Zhu, Meixiang Xu, Xingxing Zhang
软件学报, 2018

Honors and Awards

  • Excellent Doctoral Dissertation of Chinese Institute of Electronics, 2020
  • Excellent Doctoral Dissertation of Beijing Jiaotong University, 2020
  • Excellent graduate in Beijing, Department of Education of Beijing, 2020
  • National Scholarship, BJTU, 2015, 2017, 2018, 2019
  • National Scholarship, HNU, 2014
  • BJTU Top Grade Scholarship - ZHIXING Scholarship (10 graduates per year), 2019
  • China Scholarship Council Scholarship, 2018
  • Excellent Undergraduate in Henan Province, 2015
  • Meritorious Award (8%), National College Mathematical Contest in Modeling, 2014
  • 2nd Prize, China Undergraduate Mathematical Contest in Modeling, 2013
  • 3rd Prize, National Computer Simulation Competition, 2014
  • 3rd Prize, National English Competition for College Students, 2014
  • Service

    Reviewer: AI, T-CSVT, T-NNLS, NeuCom, MTA, IJCAI-2019, IJCAI-2020.

    Skills

    Python & Matlab

    Pytorch & Tensorflow

    OpenCV & Scikit-learn

    Linux & MacOS


    © Xingxing Zhang 2019