The Intelligent Techniques in Robot KeJia - The Champion of RoboCup@Home 2014. - Kai Chen; Dongcai Lu; Yingfeng Chen; Keke Tang; Ningyang Wang; Xiaoping Chen (RoboCup, 2014)

Label Propagation for Large Scale 3D Indoor Scenes. - Keke Tang; Zhe Zhao 004; Xiaoping Chen (ISVC (1), 2015)

Joint Visual Phrase Detection to Boost Scene Parsing. - Keke Tang; Zhe Zhao 004; Xiaoping Chen (ISVC (2), 2015)

KeJia-LC: A Low-Cost Mobile Robot Platform - Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015. - Yingfeng Chen; Feng Wu 001; Ningyang Wang; Keke Tang; Min Cheng; Xiaoping Chen (RoboCup, 2015)

Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. - Min Cheng; Xiaoping Chen; Keke Tang; Feng Wu 001; Andras Gabor Kupcsik; Luca Iocchi; Yingfeng Chen; David Hsu (RoboCup, 2015)

Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching. - Keke Tang; Peng Song 001; Xiaoping Chen (ACCV (5), 2016)

3D Object Recognition in Cluttered Scenes With Robust Shape Description and Correspondence Selection. - Keke Tang; Peng Song 001; Xiaoping Chen (IEEE Access, 2017)

Chinese Text Classification Based on Neural Networks and Word2vec. - Weixiong Hu; Zhaoquan Gu; Yushun Xie; Le Wang 008; Keke Tang (DSC, 2019)

A General Framework for Adjustable Neighbor Discovery in Wireless Sensor Networks. - Zhaoquan Gu; Yuexuan Wang; Keke Tang; Chao Li 027; Mohan Li; Lihua Yin (iThings/GreenCom/CPSCom/SmartData, 2019)

Computational Design of Steady 3D Dissection Puzzles. - Keke Tang; Peng Song 001; Xiaofei Wang; Bailin Deng; Chi-Wing Fu; Ligang Liu 001 (Comput. Graph. Forum, 2019)

Decision Propagation Networks for Image Classification. - Keke Tang; Peng Song 001; Yuexin Ma; Zhaoquan Gu; Yu Su; Zhihong Tian; Wenping Wang 001 (CoRR, 2019)

Convolutional Neural Network based Timbre Classification. - Yinyu Lyu; Chenwei Liu; Hao Tan; Rui Xie; Keke Tang; Zhaoquan Gu (CIAT, 2020)

An Improved Algorithm for Bert. - Weiguo Wang; Zhaoquan Gu; Keke Tang (CIAT, 2020)

The Business Cycle, Market Power, and Corporate Investment. - Keke Tang; Jiaqi Li (ICEME, 2020)

NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control. - Nan Lin; Yuxuan Li; Yujun Zhu; Ruolin Wang; Xiayu Zhang; Jianmin Ji; Keke Tang; Xiaoping Chen; Xinming Zhang 001 (CoRR, 2020)

A Hybrid Underwater Manipulator System With Intuitive Muscle-Level sEMG Mapping Control. - Hua Zhong 004; Zhong Shen; Yafei Zhao; Keke Tang; Wenping Wang 001; Zheng Wang 002 (IEEE Robotics Autom. Lett., 2020)

CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue. - Keke Tang; Dingruibo Miao; Weilong Peng; Jianpeng Wu; Yawen Shi; Zhaoquan Gu; Zhihong Tian; Wenping Wang 001 (ICCV, 2021)

Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field. - Yining Huang; Meilian Chen; Keke Tang (CoRR, 2021)

Sinoledge: A Knowledge Engine based on Logical Reasoning and Distributed Micro Services. - Yining Huang; Shaoze Lin; Yijun Wei; Keke Tang (CoRR, 2021)

Editorial: Intelligence and Safety for Humanoid Robots: Design, Control, and Applications. - Zhaoquan Gu; Keke Tang; Zhen Wang 004; Yanhua Li; Wei Shi 001; Zhihong Tian (Frontiers Neurorobotics, 2021)

Geometrical Consistency Modeling on B-Spline Parameter Domain for 3D Face Reconstruction From Limited Number of Wild Images. - Weilong Peng; Yong Su; Keke Tang; Chao Xu 003; Zhiyong Feng 002; Meie Fang (Frontiers Neurorobotics, 2021)

Adversarial Example Attacks against ASR Systems: An Overview. - Xiao Zhang; Hao Tan; Xuan Huang; Denghui Zhang; Keke Tang; Zhaoquan Gu (DSC, 2022)

GM-Attack: Improving the Transferability of Adversarial Attacks. - Jinbang Hong; Keke Tang; Chao Gao; Songxin Wang; Sensen Guo; Peican Zhu (KSEM (3), 2022)

Adversarial Attacks on ASR Systems: An Overview. - Xiao Zhang; Hao Tan; Xuan Huang; Denghui Zhang; Keke Tang; Zhaoquan Gu (CoRR, 2022)

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; Xin-Ming Zhang 001 (IEEE Robotics Autom. Lett., 2022)

Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. - Keke Tang; Jianpeng Wu; Weilong Peng; Yawen Shi; Peng Song 001; Zhaoquan Gu; Zhihong Tian; Wenping Wang 001 (AAAI, 2023)

HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. - Qi Li; Xingyu Li; Xiaodong Cui; Keke Tang; Peican Zhu (CIKM, 2023)

Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding. - Xiang Fang; Daizong Liu; Wanlong Fang; Pan Zhou 001; Yu Cheng 001; Keke Tang; Kai Zou (EMNLP (Findings), 2023)

Matching Words for Out-of-distribution Detection. - Keke Tang; Xujian Cai; Weilong Peng; Daizong Liu; Peican Zhu; Pan Zhou 001; Zhihong Tian; Wenping Wang 001 (ICDM, 2023)

OOD Attack: Generating Overconfident out-of-Distribution Examples to Fool Deep Neural Classifiers. - Keke Tang; Xujian Cai; Weilong Peng; Shudong Li; Wenping Wang 001 (ICIP, 2023)

DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. - Zepeng Fan; Peican Zhu; Chao Gao; Jinbang Hong; Keke Tang (KSEM (2), 2023)

Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. - Keke Tang; Tianrui Lou; Xu He; Yawen Shi; Peican Zhu; Zhaoquan Gu (KSEM (1), 2023)

Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue? - Xu He; Keke Tang; Yawen Shi; Yin Li; Weilong Peng; Peican Zhu (SMC, 2023)

Rethinking Perturbation Directions for Imperceptible Adversarial Attacks on Point Clouds. - Keke Tang; Yawen Shi; Tianrui Lou; Weilong Peng; Xu He; Peican Zhu; Zhaoquan Gu; Zhihong Tian (IEEE Internet Things J., 2023)

Multimodal fake news detection through data augmentation-based contrastive learning. - Jiaheng Hua; Xiaodong Cui; Xianghua Li; Keke Tang; Peican Zhu (Appl. Soft Comput., 2023)

Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint. - Peican Zhu; Xin Hou; Keke Tang; Yang Liu 144; Yin-Ping Zhao; Zhen Wang 004 (Inf. Sci., 2023)

RepPVConv: attentively fusing reparameterized voxel features for efficient 3D point cloud perception. - Keke Tang; Yuhong Chen; Weilong Peng; Yanling Zhang; Meie Fang; Zheng Wang 002; Peng Song 001 (Vis. Comput., 2023)

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. - Le Cheng; Peican Zhu; Keke Tang; Chao Gao; Zhen Wang 004 (AAAI, 2024)

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds. - Keke Tang; Xu He; Weilong Peng; Jianpeng Wu; Yawen Shi; Daizong Liu; Pan Zhou 001; Wenping Wang 001; Zhihong Tian (AAAI, 2024)

Towards Robust Temporal Activity Localization Learning with Noisy Labels. - Daizong Liu; Xiaoye Qu; Xiang Fang; Jianfeng Dong; Pan Zhou 001; Guoshun Nan; Keke Tang; Wanlong Fang; Yu Cheng 001 (LREC/COLING, 2024)

CORES: Convolutional Response-based Score for Out-of-distribution Detection. - Keke Tang; Chao Hou; Weilong Peng; Runnan Chen; Peican Zhu; Wenping Wang 001; Zhihong Tian (CVPR, 2024)

Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective. - Xiang Fang; Zeyu Xiong; Wanlong Fang; Xiaoye Qu; Chen Chen 006; Jianfeng Dong; Keke Tang; Pan Zhou 001; Yu Cheng 001; Daizong Liu (ECCV (45), 2024)

FLAT: Flux-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. - Keke Tang; Lujie Huang; Weilong Peng; Daizong Liu; Xiaofei Wang; Yang Ma; Ligang Liu 001; Zhihong Tian (ECCV (6), 2024)

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack. - Mingyu Yang; Daizong Liu; Keke Tang; Pan Zhou 001; Lixing Chen; Junyang Chen 001 (ECCV (30), 2024)

Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning. - Botao Wang; Keke Tang; Peican Zhu (EMNLP (Findings), 2024)

Reparameterization Head for Efficient Multi-Input Networks. - Keke Tang; Wenyu Zhao; Weilong Peng; Xiang Fang; Xiaodong Cui; Peican Zhu; Zhihong Tian (ICASSP, 2024)

IE-aware Consistency Losses for Detailed 3D Face Reconstruction from Multiple Images in the Wild. - Weilong Peng; Yi Luo; Keke Tang; Kongyang Chen; Yangtao Wang; Ping Li 016; Meie Fang (ICME, 2024)

Leveraging LLMs to Enhance NLP Performance Through Distillation and Optimized Training Strategies. - Yining Huang; Keke Tang; Wanmin Lian; Meilian Chen (ICONIP (10), 2024)

A General Black-box Adversarial Attack on Graph-based Fake News Detectors. - Peican Zhu; Zechen Pan; Yang Liu 144; Jiwei Tian; Keke Tang; Zhen Wang 004 (IJCAI, 2024)

Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds. - Xiaowen Cai 001; Yunbo Tao; Daizong Liu; Pan Zhou 001; Xiaoye Qu; Jianfeng Dong; Keke Tang; Lichao Sun 001 (ACM Multimedia, 2024)

SymAttack: Symmetry-aware Imperceptible Adversarial Attacks on 3D Point Clouds. - Keke Tang; Zhensu Wang; Weilong Peng; Lujie Huang; Le Wang 008; Peican Zhu; Wenping Wang 001; Zhihong Tian (ACM Multimedia, 2024)

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models. - Daizong Liu; Mingyu Yang; Xiaoye Qu; Pan Zhou 001; Xiang Fang; Keke Tang; Yao Wan 001; Lichao Sun 001 (NeurIPS, 2024)

LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect. - Yixiao Xu; Binxing Fang; Mohan Li; Keke Tang; Zhihong Tian (NeurIPS, 2024)

MIT: Multi-cue Injected Transformer for Two-Stage HOI Detection. - Weilong Peng; Qingfeng Chen; Keke Tang; Zhihao Yang; Meng Xing; Meie Fang (PRCV (7), 2024)

Improving adversarial transferability through hybrid augmentation. - Peican Zhu; Zepeng Fan; Sensen Guo; Keke Tang; Xingyu Li (Comput. Secur., 2024)

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding. - Jie Tian; Jixin Hou; Zihao Wu 001; Peng Shu; Zhengliang Liu; Yujie Xiang; Beikang Gu; Nicholas Filla; Yiwei Li 002; Ning Liu; Xianyan Chen; Keke Tang; et al. (CoRR, 2024)

A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry. - Yining Huang; Keke Tang; Meilian Chen (CoRR, 2024)

A knowledge-guided graph attention network for emotion-cause pair extraction. - Peican Zhu; Botao Wang; Keke Tang; Haifeng Zhang 003; Xiaodong Cui; Zhen Wang 004 (Knowl. Based Syst., 2024)

SelfGCN: Graph Convolution Network With Self-Attention for Skeleton-Based Action Recognition. - Zhize Wu; Pengpeng Sun; Xin Chen; Keke Tang; Tong Xu 001; Le Zou; Xiaofeng Wang 009; Ming Tan; Fan Cheng 001; Thomas Weise 001 (IEEE Trans. Image Process., 2024)

Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention. - Zeyu Xiong; Daizong Liu; Xiang Fang; Xiaoye Qu; Jianfeng Dong; Jiahao Zhu; Keke Tang; Pan Zhou 001 (IEEE Trans. Multim., 2024)

A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties. - Lianbo Ma; Nan Li; Peican Zhu; Keke Tang; Asad Khan; Feng Wang 048; Guo Yu 001 (IEEE Trans. Fuzzy Syst., 2024)

Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition. - Denghui Zhang; Muhammad Shafiq 003; Keke Tang; Usman Naseem (IEEE J. Biomed. Health Informatics, 2024)

Node Injection Attack Based on Label Propagation Against Graph Neural Network. - Peican Zhu; Zechen Pan; Keke Tang; Xiaodong Cui; Jinhuan Wang; Qi Xuan 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Effective Single-Step Adversarial Training With Energy-Based Models. - Keke Tang; Tianrui Lou; Weilong Peng; Nenglun Chen; Yawen Shi; Wenping Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. - Xiang Fang; Wanlong Fang; Changshuo Wang 001; Daizong Liu; Keke Tang; Jianfeng Dong; Pan Zhou 001; Beibei Li 002 (AAAI, 2025)

Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges. - Meixia He; Peican Zhu; Keke Tang; Yangming Guo (AAAI, 2025)

Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates. - Keke Tang; Ziyong Du; Weilong Peng; Xiaofei Wang; Daizong Liu; Ligang Liu 001; Zhihong Tian (AAAI, 2025)

Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring. - Wei Ge; Yongwei Nie; Fei Ma 006; Keke Tang; Fei Richard Yu; Hongmin Cai; Ping Li 016 (CVM (3), 2025)

Simplification Is All You Need against Out-of-Distribution Overconfidence. - Keke Tang; Chao Hou; Weilong Peng; Xiang Fang; Zhize Wu; Yongwei Nie; Wenping Wang 001; Zhihong Tian (CVPR, 2025)

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field. - Keke Tang; Weiyao Ke; Weilong Peng; Xiaofei Wang; Ziyong Du; Zhize Wu; Peican Zhu; Zhihong Tian (ICASSP, 2025)

Attribute-Based Out-of-Distribution Detection Using LLaVA. - Daojie Zhao; Chao Hou; Yongwei Nie; Peican Zhu; Keke Tang (ICIC (19), 2025)

EIA: Edge-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. - Zhensu Wang; Weilong Peng; Le Wang 008; Zhizhe Wu; Peican Zhu; Keke Tang (MMM (1), 2025)

MeshPAD: Payload-aware mesh distortion for 3D steganography based on geometric deep learning. - Weilong Peng; Keke Tang; Weixuan Tang; Yong Su; Meie Fang; Ping Li 016 (Expert Syst. Appl., 2025)

Efficient Source Detection in Incomplete Networks via Sensor Deployment and Source Approaching. - Le Cheng; Peican Zhu; Keke Tang; Chao Gao; Zhen Wang 004 (IEEE Trans. Inf. Forensics Secur., 2025)

Continuous Bijection Supervised Pyramid Diffeomorphic Deformation for Learning Tooth Meshes From CBCT Images. - Zechu Zhang; Weilong Peng; Jinyu Wen; Keke Tang; Meie Fang; David Dagan Feng; Ping Li 016 (IEEE Trans. Multim., 2025)

Decision Fusion Networks for Image Classification. - Keke Tang; Yuexin Ma; Dingruibo Miao; Peng Song 001; Zhaoquan Gu; Zhihong Tian; Wenping Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EOOD: Entropy-based Out-of-distribution Detection. - Guide Yang; Chao Hou; Weilong Peng; Xiang Fang; Yongwei Nie; Peican Zhu; Keke Tang (CoRR, 2025)

Compactness score: a fast filter method for unsupervised feature selection. - Peican Zhu; Xin Hou; Keke Tang; Zhen Wang 004; Feiping Nie 001 (Ann. Oper. Res., 2025)

HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion. - Le Cheng; Peican Zhu; Yangming Guo; Keke Tang; Chao Gao; Zhen Wang 004 (CoRR, 2025)

SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs. - Le Cheng; Peican Zhu; Yangming Guo; Chao Gao; Zhen Wang 004; Keke Tang (CoRR, 2025)

LactFormer: Language-Aware Context Learning With Multi-Cue Transformers for HOI Detection. - Weilong Peng; Qingfeng Chen; Keke Tang; Zhaoyang Yu; Yangtao Wang; Yanzhao Xie; Meie Fang (IEEE Trans. Consumer Electron., 2025)

Exploring Visual Prompting: Robustness Inheritance and Beyond. - Qi Li; Liangzhi Li 001; Zhouqiang Jiang; Bowen Wang 002; Keke Tang (CoRR, 2025)

Cage-Based Deformation for Transferable and Undefendable Point Cloud Attack. - Keke Tang; Ziyong Du; Weilong Peng; Xiaofei Wang; Peican Zhu; Ligang Liu 001; Zhihong Tian (CoRR, 2025)

KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection. - Peican Zhu; Yubo Jing; Le Cheng; Keke Tang; Yangming Guo (CoRR, 2025)

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective. - Xiaofei Wang; Mingliang Han; Tianyu Hao; Cegang Li; Yunbo Zhao; Keke Tang (CoRR, 2025)

SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection. - Peican Zhu; Yubo Jing; Le Cheng; Bin Chen; Xiaodong Cui; Lianwei Wu; Keke Tang (CoRR, 2025)

Transferable and Undefendable Point Cloud Attacks via Medial Axis Transform. - Keke Tang; Yuze Gao; Weilong Peng; Xiaofei Wang; Meie Fang; Peican Zhu (CoRR, 2025)

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning. - Yining Huang; Bin Li; Keke Tang; Meilian Chen (CoRR, 2025)