| 2026 | AAAI | Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs. | Xiang Fang, Wanlong Fang, Changshuo Wang, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji |
| 2026 | AAAI | Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges. | Meixia He, Peican Zhu, Le Cheng, Yangming Guo, Manman Yuan, Keke Tang |
| 2026 | AAAI | Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks. | Keke Tang, Tianyu Hao, Xiaofei Wang, Weilong Peng, Denghui Zhang, Peican Zhu, Zhihong Tian |
| 2025 | AAAI | Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. | Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li |
| 2025 | AAAI | Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges. | Meixia He, Peican Zhu, Keke Tang, Yangming Guo |
| 2025 | AAAI | Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates. | Keke Tang, Ziyong Du, Weilong Peng, Xiaofei Wang, Daizong Liu, Ligang Liu, Zhihong Tian |
| 2025 | CogSci | EvoAgents: A Cognitive-Driven Framework for Personality Evolution in Generative Agent Society. | Yifan Li, Shijie Wang, Jiale Li, Yi Xu, Keke Tang, Jiangfeng Li, Hailong Liu, Cui Tang |
| 2025 | CVPR | Simplification Is All You Need against Out-of-Distribution Overconfidence. | Keke Tang, Chao Hou, Weilong Peng, Xiang Fang, Zhize Wu, Yongwei Nie, Wenping Wang, Zhihong Tian |
| 2025 | EMNLP | LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning. | Yining Huang, Bin Li, Keke Tang, Meilian Chen |
| 2025 | ICASSP | 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 |
| 2025 | IJCAI | SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs. | Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang, Keke Tang |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective. | Xiaofei Wang, Mingliang Han, Tianyu Hao, Cegang Li, Yunbo Zhao, Keke Tang |
| 2025 | IJCNN | EOOD: Entropy-based Out-of-distribution Detection. | Guide Yang, Chao Hou, Weilong Peng, Xiang Fang, Yongwei Nie, Peican Zhu, Keke Tang |
| 2025 | MMM | EIA: Edge-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. | Zhensu Wang, Weilong Peng, Le Wang, Zhizhe Wu, Peican Zhu, Keke Tang |
| 2025 | SMC | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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, Zhihong Tian |
| 2024 | COLING | Towards Robust Temporal Activity Localization Learning with Noisy Labels. | Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng |
| 2024 | CVPR | CORES: Convolutional Response-based Score for Out-of-distribution Detection. | Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian |
| 2024 | ECCV | Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective. | Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu |
| 2024 | ECCV | FLAT: Flux-Aware Imperceptible Adversarial Attacks on 3D Point Clouds. | Keke Tang, Lujie Huang, Weilong Peng, Daizong Liu, Xiaofei Wang, Yang Ma, Ligang Liu, Zhihong Tian |
| 2024 | ECCV | Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack. | Mingyu Yang, Daizong Liu, Keke Tang, Pan Zhou, Lixing Chen, Junyang Chen |
| 2024 | EMNLP | Enhancing Emotion-Cause Pair Extraction in Conversations via Center Event Detection and Reasoning. | Botao Wang, Keke Tang, Peican Zhu |
| 2024 | HPCC | GAA-BD: Graph Adversarial Augmentation-based Social Bot Detection. | Nan Hu, Le Cheng, Botao Wang, Jiwei Xu, Keke Tang, Peican Zhu |
| 2024 | ICASSP | Reparameterization Head for Efficient Multi-Input Networks. | Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian |
| 2024 | ICONIP | Leveraging LLMs to Enhance NLP Performance Through Distillation and Optimized Training Strategies. | Yining Huang, Keke Tang, Wanmin Lian, Meilian Chen |
| 2024 | IJCAI | A General Black-box Adversarial Attack on Graph-based Fake News Detectors. | Peican Zhu, Zechen Pan, Yang Liu, Jiwei Tian, Keke Tang, Zhen Wang |
| 2023 | AAAI | Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. | Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang |
| 2023 | CIKM | HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. | Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu |
| 2023 | EMNLP | 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, Yu Cheng, Keke Tang, Kai Zou |
| 2023 | ICDM | Matching Words for Out-of-distribution Detection. | Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang |
| 2023 | ICIP | OOD Attack: Generating Overconfident out-of-Distribution Examples to Fool Deep Neural Classifiers. | Keke Tang, Xujian Cai, Weilong Peng, Shudong Li, Wenping Wang |
| 2023 | KSEM | DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. | Zepeng Fan, Peican Zhu, Chao Gao, Jinbang Hong, Keke Tang |
| 2023 | KSEM | Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. | Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu |
| 2023 | SMC | Are Deep Point Cloud Classifiers Suffer From Out-of-distribution Overconfidence Issue? | Xu He, Keke Tang, Yawen Shi, Yin Li, Weilong Peng, Peican Zhu |
| 2022 | KSEM | GM-Attack: Improving the Transferability of Adversarial Attacks. | Jinbang Hong, Keke Tang, Chao Gao, Songxin Wang, Sensen Guo, Peican Zhu |
| 2021 | ICCV | 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 |
| 2016 | ACCV | Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching. | Keke Tang, Peng Song, Xiaoping Chen |
| 2015 | ISVC | Label Propagation for Large Scale 3D Indoor Scenes. | Keke Tang, Zhe Zhao, Xiaoping Chen |
| 2015 | ISVC | Joint Visual Phrase Detection to Boost Scene Parsing. | Keke Tang, Zhe Zhao, Xiaoping Chen |
| 2015 | RoboCup | Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. | Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu |
| 2015 | RoboCup | KeJia-LC: A Low-Cost Mobile Robot Platform - Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015. | Yingfeng Chen, Feng Wu, Ningyang Wang, Keke Tang, Min Cheng, Xiaoping Chen |
| 2014 | RoboCup | The Intelligent Techniques in Robot KeJia - The Champion of RoboCup@Home 2014. | Kai Chen, Dongcai Lu, Yingfeng Chen, Keke Tang, Ningyang Wang, Xiaoping Chen |