Dr. Keke TANG (唐可可)
Professor, Deputy Director of the Institute of Big Data and Security
Guangdong Young Talents Program Selectee（广东省青年拔尖人才）
Cyberspace Institute of Advanced Technology (方滨兴院士团队)
Guangzhou University (广州大学)
Email: tangbohutbh[at]gmail[dot]com (note: I barely use the institutional email.)
Office: Room 616, Boxin Building, Huangpu Campus, Guangzhou University.
对于考研学生: 欢迎报考广州大学方滨兴院士实验班，欢迎有志于做高水平研究的学生进组。组内学术氛围浓厚，大部分硕士生均发表了CCF A/B类顶会论文，并据此拿到了C9或985头部高校读博机会。
For potential collaborators: I am open to any cooperation. Feel free to contact me!
For students: I am looking for students to join us to conduct high-quality research in Computer Vision and Computer Graphics (in particular, AI Security, and 3D Vision). If you are interested in working with me, drop me an email!
News
2024/10/10 I am guest editing an Special Issue “Security Challenges and Defense Methods for Emerging AI Driven Applications” in IET Information Security.
2024/9/21 I serve as an Associate Editor of Visual Computer.
2024/9/21 1 co-supervised paper is accepted by EMNLP Findings 2024, congratulations to all co-authors.
2024/7/16 2 papers are accepted by ACM MM 2024, congratulations to all co-authors.
2024/7/11 Our 3D face reconstruction paper has been selected as a best paper candidate at ICME 2024.
2024/7/1 3 papers are accepted by ECCV 2024, congratulations to all co-authors.
2024/4/20 Prof. Keke Tang is awarded the Guangdong Special Support Program for Young Talents (“广东特支计划”青年拔尖人才).
2024/4/17 Our co-surpervised paper "A General Black-box Adversarial Attack on Graph-based Fake News Detectors" is accepted by IJCAI 2024. Welcome for any cooperation!
2024/3/31 Our paper "Effective Single-Step Adversarial Training With Energy-Based Models" is accepted by IEEE Transactions on Emerging Topics in Computational Intelligence.
2024/2/27 Our paper "CORES: Convolutional Response-based Score for Out-of-distribution Detection" is accepted by CVPR 2024.
2023/12/9 Our paper "Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds" is accepted by AAAI 2024.
2023/9/3 Our paper "Matching Words for Out-of-distribution Detection" is accepted by ICDM 2023.
2023/8/1 Our paper "HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets" is accepted by CIKM 2023.
2023/2/3 I will serve on the international program committee of SMI 2023, CGI 2023 and CAD/Graphics 2023.
2022/11/20 Our paper "Deep Manifold Attack on Point Clouds via Parameter Plane Stretching" is accepted by AAAI 2023.
Biography
Keke Tang is an Associate Professor at Guangzhou University since January 2019. From 2017.8 to 2018.12, he worked as a postdoctoral fellow in Prof. Wenping Wang's group (IEEE&ACM Fellow) of the University of Hong Kong.Keke Tang received his B.S. from Jilin University in 2012, and Ph.D. from University of Science and Technology of China supervised by Prof. Xiaoping Chen in 2017, where he also closely worked with Prof. Peng Song and Prof. Ligang Liu.
Find more about Keke: Google Scholar
Research
His research interests fall into the areas of robotics, computer vision and computer graphics, including- AI Security
- Adversarial Examples
- Out-of-distribution
- Efficient AI
- Reparameterization
- Network Pruning
- Robotics
- Robotics Vision
- SLAM
- Computational Robotics
- Computer Vision
- 3D Shape Description and Matching
- 3D Object Registration, Reconstruction, and Recognition
- Image Classification
- Computer Graphics
- Geometry Processing
- Computational Fabrication
Professional Activities
- Conference PC Member: NeurIPS, CVPR, ICCV, ECCV, ICLR, AAAI, IJCAI, ACMMM, KDD, Eurographics, Pacific Graphics, EMNLP, ICME, ACCV, ICIP, CGI, SMI, CAD/Graphics, CVM, PRCV
- Journal Reviewer: TMM, TNNLS, TGRS, TMC, TIST, TNSE, TLT, Information Fusion, Computers & Security, Computer Aided Geometric Design, The Visual Computer, IET Computer Vision, Computers & Graphics, Expert Systems With Applications, Knowledge-Based Systems
- Editor: Visual Computer, Security and Communication Networks, Frontiers in Neurorobotics, 《自动化与信息工程》
- Commitee Member: CCF CAD&CG, CSIAM GDC, GAMES
Honors
- Guangdong Special Support Program for Young Talents (广东省重大人才工程——“广东特支计划”青年拔尖人才). 2023.
- Excellence in Research Award of CIAT at Guangzhou University (卓越科研奖). 2023.
Awards
| RoboCup | RoboCup is the most famous robotics competition in the world aiming at promoting robotics and AI research. |
|
The 1st place of RoboCup@ Home League 2014 note: this is the only time that a Chinese team has ever won a championship. |
|
The 1st place of RoboCup@ Robot Benchmarking Demonstration League 2015 note: this is the only time that a Chinese team has ever won a championship. |
Referred Research Publications
|
SymAttack: Symmetry-aware Imperceptible Adversarial Attacks on 3D Point Clouds Keke Tang, Zhensu Wang, Weilong Peng, Lujie Huang, Le Wang, Peican Zhu, Wenping Wang, and Zhihong Tian ACM Multimedia (MM), 2024 (CCF A类，多媒体顶会) |
|
FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds Keke Tang, Lujie Huang, Weilong Peng, Daizong Liu, Xiaofei Wang, Yang Ma, Ligang Liu, and Zhihong Tian European Conference on Computer Vision (ECCV), 2024 (CCF B类，计算机视觉顶会) |
|
CORES: Convolutional Response-based Score for Out-of-distribution Detection Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, and Zhihong Tian IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (CCF A类，计算机视觉顶会) |
|
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds Keke Tang, Xu He, Weilong Peng, Jianpeng Wu, Yawen Shi, Daizong Liu, Pan Zhou, Wenping Wang, and Zhihong Tian AAAI Conference on Artificial Intelligence (AAAI), 2024 (CCF A类，人工智能顶会) |
|
A General Black-box Adversarial Attack on Graph-based Fake News Detectors Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang*, and Zhen Wang International Joint Conference on Artificial Intelligence (IJCAI), 2024 (CCF A类，人工智能顶会) |
|
Effective Single-Step Adversarial Training With Energy-Based Models Keke Tang, Tianrui Lou, Weilong Peng, Nenglun Chen, Yawen Shi, and Wenping Wang IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2024 |
|
Reparameterization Head for Efficient Multi-Input Networks Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 |
|
Matching Words for Out-of-distribution Detection Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, and Wenping Wang IEEE International Conference on Data Mining (ICDM), accepted, 2023 (CCF B类，数据挖掘顶会, acceptance rate: 9.37%) |
|
HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang*, and Peican Zhu* ACM International Conference on Information and Knowledge Management (CIKM), accepted, 2023 |
|
OOD Attack: Generating Overconfident Out-of-distribution Examples to Fool Deep Neural Classifiers Keke Tang, Xujian Cai, Weilong Peng, Shudong Li, and Wenping Wang IEEE International Conference on Image Processing (ICIP), accepted, 2023 |
|
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, and Wenping Wang AAAI Conference on Artificial Intelligence (AAAI), accepted, 2023 (CCF A类，人工智能顶会) [Paper] |
|
Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds Keke Tang, Yawen Shi, Tianrui Lou, Weilong Peng, Xu He, Peican Zhu, Zhaoquan Gu, and Zhihong Tian IEEE Internet of Things Journal, 2022 (IF: 10.238, 中科院一区，顶刊) |
|
RepPVConv: Attentively Fusing Reparameterized Voxel Features for Efficient 3D Point Cloud Perception Keke Tang, Yuhong Chen, Weilong Peng, Yanling Zhang, Meie Fang, Zheng Wang, and Peng Song The Visual Computer, 2022 (CCF C类) |
|
Decision Fusion Networks for Image Classification Keke Tang, Yuexin Ma, Dingruibo Miao, Peng Song, Zhaoquan Gu, Zhihong Tian and Wenping Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 (IF: 14.255, 中科院一区，顶刊) |
|
Manipulation Planning From Demonstration Via Goal-Conditioned Prior Action Primitive Decomposition and Alignment Nan Lin#, Yuxuan Li#, Keke Tang#, Yujun Zhu, Xiayu Zhang, Ruolin Wang, Jianmin Ji, Xiaoping Chen and Xinming Zhang IEEE Robotics and Automation Letters, 2022 (selected for presentation at ICRA) |
|
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, and Wenping Wang IEEE International Conference on Computer Vision (ICCV), accepted, 2021 (CCF A类，计算机视觉三大顶会之一) [Paper] |
|
A Hybrid Underwater Manipulator System With Intuitive Muscle-Level sEMG Mapping Control Hua Zhong, Zhong Shen, Yafei Zhao, Keke Tang, Zheng Wang, and Wenping Wang IEEE Robotics and Automation Letters, 2020 (selected for presentation at ICRA) |
|
Computational Design of Steady 3D Dissection Puzzles Keke Tang, Peng Song, Xiaofei Wang, Bailin Deng, Chi-Wing Fu, and Ligang Liu Computer Graphics Forum (Proc. of Eurographics), accepted, 2019 (CCF B类，计算机图形学三大顶会之一) [Paper] [Video: youtube, youku] |
|
Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching Keke Tang, Peng Song, and Xiaoping Chen The 13th Asian Conference on Computer Vision (ACCV), 2016 (CCF C类) [Paper] [Project Page] |