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2020 – today
- 2024
[j17]Peican Zhu
, Zepeng Fan, Sensen Guo, Keke Tang, Xingyu Li:
Improving adversarial transferability through hybrid augmentation. Comput. Secur. 139: 103674 (2024)- [j16]Peican Zhu, Botao Wang, Keke Tang, Haifeng Zhang, Xiaodong Cui, Zhen Wang:
A knowledge-guided graph attention network for emotion-cause pair extraction. Knowl. Based Syst. 286: 111342 (2024) - [j15]Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan:
Node Injection Attack Based on Label Propagation Against Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 11(5): 5858-5870 (2024) - [j14]Keke Tang, Tianrui Lou, Weilong Peng, Nenglun Chen, Yawen Shi, Wenping Wang:
Effective Single-Step Adversarial Training With Energy-Based Models. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3396-3407 (2024) - [j13]Lianbo Ma, Nan Li, Peican Zhu, Keke Tang, Asad Khan, Feng Wang, Guo Yu:
A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties. IEEE Trans. Fuzzy Syst. 32(5): 3274-3285 (2024) - [j12]Zhize Wu, Pengpeng Sun, Xin Chen, Keke Tang, Tong Xu, Le Zou, Xiaofeng Wang, Ming Tan, Fan Cheng, Thomas Weise:
SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 33: 4391-4403 (2024) - [j11]Denghui Zhang, Muhammad Shafiq, Keke Tang, Usman Naseem:
Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition. IEEE J. Biomed. Health Informatics 28(7): 3841-3850 (2024) - [c32]Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang:
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. AAAI 2024: 55-63 - [c31]Keke Tang, Xu He, Weilong Peng, Jianpeng Wu, Yawen Shi, Daizong Liu, Pan Zhou, Wenping Wang, Zhihong Tian:
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds. AAAI 2024: 5127-5135 - [c30]Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng:
Towards Robust Temporal Activity Localization Learning with Noisy Labels. LREC/COLING 2024: 16630-16642 - [c29]Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian:
CORES: Convolutional Response-based Score for Out-of-distribution Detection. CVPR 2024: 10916-10925 - [c28]Keke Tang, Lujie Huang, Weilong Peng, Daizong Liu, Xiaofei Wang, Yang Ma, Ligang Liu, Zhihong Tian:
FLAT: Flux-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. ECCV (6) 2024: 198-215 - [c27]Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian:
Reparameterization Head for Efficient Multi-Input Networks. ICASSP 2024: 6190-6194 - [c26]Weilong Peng, Yi Luo, Keke Tang, Kongyang Chen, Yangtao Wang, Ping Li, Meie Fang:
IE-aware Consistency Losses for Detailed 3D Face Reconstruction from Multiple Images in the Wild. ICME 2024: 1-6 - [c25]Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang:
A General Black-box Adversarial Attack on Graph-based Fake News Detectors. IJCAI 2024: 568-576 - [c24]Keke Tang, Zhensu Wang, Weilong Peng, Lujie Huang, Le Wang, Peican Zhu, Wenping Wang, Zhihong Tian:
SymAttack: Symmetry-aware Imperceptible Adversarial Attacks on 3D Point Clouds. ACM Multimedia 2024: 3131-3140 - [c23]Xiaowen Cai, Yunbo Tao, Daizong Liu, Pan Zhou, Xiaoye Qu, Jianfeng Dong, Keke Tang, Lichao Sun:
Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds. ACM Multimedia 2024: 6162-6171 - [i12]Jie Tian, Jixin Hou, Zihao Wu, Peng Shu, Zhengliang Liu, Yujie Xiang, Beikang Gu, Nicholas Filla, Yiwei Li, Ning Liu, Xianyan Chen, Keke Tang, Tianming Liu, Xianqiao Wang:
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding. CoRR abs/2401.12983 (2024) - [i11]Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang:
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. CoRR abs/2403.00014 (2024) - [i10]Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang:
A General Black-box Adversarial Attack on Graph-based Fake News Detectors. CoRR abs/2404.15744 (2024) - [i9]Yining Huang, Keke Tang, Meilian Chen:
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry. CoRR abs/2404.15777 (2024) - [i8]Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan:
Node Injection Attack Based on Label Propagation Against Graph Neural Network. CoRR abs/2405.18824 (2024) - 2023
- [j10]Jiaheng Hua, Xiaodong Cui, Xianghua Li, Keke Tang, Peican Zhu:
Multimodal fake news detection through data augmentation-based contrastive learning. Appl. Soft Comput. 136: 110125 (2023) - [j9]Keke Tang, Yawen Shi, Tianrui Lou, Weilong Peng, Xu He, Peican Zhu, Zhaoquan Gu, Zhihong Tian:
Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds. IEEE Internet Things J. 10(6, March 15): 5158-5169 (2023) - [j8]Peican Zhu, Xin Hou, Keke Tang, Yang Liu, Yin-Ping Zhao, Zhen Wang:
Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint. Inf. Sci. 622: 68-82 (2023) - [j7]Keke Tang, Yuhong Chen, Weilong Peng, Yanling Zhang, Meie Fang, Zheng Wang, Peng Song:
RepPVConv: attentively fusing reparameterized voxel features for efficient 3D point cloud perception. Vis. Comput. 39(11): 5577-5588 (2023) - [c22]Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. AAAI 2023: 2420-2428 - [c21]Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu:
HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. CIKM 2023: 4064-4068 - [c20]Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou:
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding. EMNLP (Findings) 2023: 8721-8733 - [c19]Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang:
Matching Words for Out-of-distribution Detection. ICDM 2023: 578-587 - [c18]Keke Tang, Xujian Cai, Weilong Peng, Shudong Li, Wenping Wang:
OOD Attack: Generating Overconfident out-of-Distribution Examples to Fool Deep Neural Classifiers. ICIP 2023: 1260-1264 - [c17]Zepeng Fan, Peican Zhu, Chao Gao, Jinbang Hong, Keke Tang:
DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. KSEM (2) 2023: 276-288 - [c16]Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu:
Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. KSEM (1) 2023: 328-342 - [c15]Xu He, Keke Tang, Yawen Shi, Yin Li, Weilong Peng, Peican Zhu:
Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue? SMC 2023: 2620-2627 - 2022
- [j6]Nan Lin, Yuxuan Li, Keke Tang, Yujun Zhu, Xiayu Zhang, Ruolin Wang, Jianmin Ji, Xiaoping Chen, Xin-Ming Zhang:
Manipulation Planning From Demonstration Via Goal-Conditioned Prior Action Primitive Decomposition and Alignment. IEEE Robotics Autom. Lett. 7(2): 1387-1394 (2022) - [c14]Xiao Zhang, Hao Tan, Xuan Huang, Denghui Zhang, Keke Tang, Zhaoquan Gu:
Adversarial Example Attacks against ASR Systems: An Overview. DSC 2022: 470-477 - [c13]Jinbang Hong, Keke Tang, Chao Gao, Songxin Wang, Sensen Guo, Peican Zhu:
GM-Attack: Improving the Transferability of Adversarial Attacks. KSEM (3) 2022: 489-500 - [i7]Xiao Zhang, Hao Tan, Xuan Huang, Denghui Zhang, Keke Tang, Zhaoquan Gu:
Adversarial Attacks on ASR Systems: An Overview. CoRR abs/2208.02250 (2022) - 2021
- [j5]Zhaoquan Gu, Keke Tang, Zhen Wang, Yanhua Li, Wei Shi, Zhihong Tian:
Editorial: Intelligence and Safety for Humanoid Robots: Design, Control, and Applications. Frontiers Neurorobotics 15 (2021) - [j4]Weilong Peng, Yong Su, Keke Tang, Chao Xu, Zhiyong Feng, Meie Fang:
Geometrical Consistency Modeling on B-Spline Parameter Domain for 3D Face Reconstruction From Limited Number of Wild Images. Frontiers Neurorobotics 15: 652562 (2021) - [c12]Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue. ICCV 2021: 1133-1142 - [i6]Yining Huang, Meilian Chen, Keke Tang:
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field. CoRR abs/2106.07502 (2021) - [i5]Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue. CoRR abs/2108.06024 (2021) - [i4]Yining Huang, Shaoze Lin, Yijun Wei, Keke Tang:
Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services. CoRR abs/2109.08307 (2021) - 2020
- [j3]Hua Zhong, Zhong Shen, Yafei Zhao, Keke Tang, Wenping Wang, Zheng Wang:
A Hybrid Underwater Manipulator System With Intuitive Muscle-Level sEMG Mapping Control. IEEE Robotics Autom. Lett. 5(2): 3198-3205 (2020) - [c11]Weiguo Wang, Zhaoquan Gu, Keke Tang:
An Improved Algorithm for Bert. CIAT 2020: 116-120 - [c10]Yinyu Lyu, Chenwei Liu, Hao Tan, Rui Xie, Keke Tang, Zhaoquan Gu:
Convolutional Neural Network based Timbre Classification. CIAT 2020: 186-191 - [c9]Keke Tang, Jiaqi Li:
The Business Cycle, Market Power, and Corporate Investment. ICEME 2020: 184-195 - [i3]Nan Lin, Yuxuan Li, Yujun Zhu, Ruolin Wang, Xiayu Zhang, Jianmin Ji, Keke Tang, Xiaoping Chen, Xinming Zhang:
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control. CoRR abs/2011.01046 (2020)
2010 – 2019
- 2019
- [j2]Keke Tang, Peng Song, Xiaofei Wang, Bailin Deng, Chi-Wing Fu, Ligang Liu:
Computational Design of Steady 3D Dissection Puzzles. Comput. Graph. Forum 38(2): 291-303 (2019) - [c8]Weixiong Hu, Zhaoquan Gu, Yushun Xie, Le Wang, Keke Tang:
Chinese Text Classification Based on Neural Networks and Word2vec. DSC 2019: 284-291 - [c7]Zhaoquan Gu, Yuexuan Wang, Keke Tang, Chao Li, Mohan Li, Lihua Yin:
A General Framework for Adjustable Neighbor Discovery in Wireless Sensor Networks. iThings/GreenCom/CPSCom/SmartData 2019: 129-134 - [i2]Keke Tang, Peng Song, Yuexin Ma, Zhaoquan Gu, Yu Su, Zhihong Tian, Wenping Wang:
Decision Propagation Networks for Image Classification. CoRR abs/1911.12101 (2019) - 2017
- [j1]Keke Tang, Peng Song, Xiaoping Chen:
3D Object Recognition in Cluttered Scenes With Robust Shape Description and Correspondence Selection. IEEE Access 5: 1833-1845 (2017) - 2016
- [c6]Keke Tang, Peng Song, Xiaoping Chen:
Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching. ACCV (5) 2016: 311-326 - [i1]Keke Tang, Peng Song, Xiaoping Chen:
Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching. CoRR abs/1612.08408 (2016) - 2015
- [c5]Keke Tang, Zhe Zhao, Xiaoping Chen:
Label Propagation for Large Scale 3D Indoor Scenes. ISVC (1) 2015: 253-264 - [c4]Keke Tang, Zhe Zhao, Xiaoping Chen:
Joint Visual Phrase Detection to Boost Scene Parsing. ISVC (2) 2015: 389-399 - [c3]Yingfeng Chen, Feng Wu, Ningyang Wang, Keke Tang, Min Cheng, Xiaoping Chen:
KeJia-LC: A Low-Cost Mobile Robot Platform - Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015. RoboCup 2015: 60-71 - [c2]Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu:
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup 2015: 377-388 - 2014
- [c1]Kai Chen, Dongcai Lu, Yingfeng Chen, Keke Tang, Ningyang Wang, Xiaoping Chen:
The Intelligent Techniques in Robot KeJia - The Champion of RoboCup@Home 2014. RoboCup 2014: 130-141
Coauthor Index
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