Wenkai Yang

According to our database, Wenkai Yang authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Decentralized Decoupled Training for Federated Long-Tailed Learning.

Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

Trans. Mach. Learn. Res., 2024

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization.

Wenkai Yang, Shiqi Shen, Guangyao Shen, Zhi Gong, Yankai Lin

CoRR, 2024

Exploring Backdoor Vulnerabilities of Chat Models.

Yunzhuo Hao, Wenkai Yang, Yankai Lin

CoRR, 2024

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents.

Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun

CoRR, 2024

Defying Forgetting in Continual Relation Extraction via Batch Spectral Norm Regularization.

Rundong Gao, Wenkai Yang, Xu Sun

Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs.

Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.

Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Trans. Mach. Learn. Res., 2023

Enabling Large Language Models to Learn from Rules.

Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen

CoRR, 2023

Two Stream Scene Understanding on Graph Embedding.

Wenkai Yang, Wenyuan Sun, Runxaing Huang

CoRR, 2023

Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning.

Wenkai Yang, Ruihang Ji, Yuxiang Zhang, Hao Lei, Zijie Zhao

CoRR, 2023

Towards Codable Text Watermarking for Large Language Models.

Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun

CoRR, 2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.

Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

CoRR, 2023

Agricultural Robotic System: The Automation of Detection and Speech Control.

Wenkai Yang, Ruihang Ji, Yiran Yue, Zhonghan Gu, Wanyang Shu, Shuzhi Sam Ge

Proceedings of the Social Robotics - 15th International Conference, 2023

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features.

Sishuo Chen, Wenkai Yang, Xiaohan Bi, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter.

Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks.

Sishuo Chen, Wenkai Yang, Zhiyuan Zhang, Xiaohan Bi, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Integrate domain knowledge in training multi-task cascade deep learning model for benign-malignant thyroid nodule classification on ultrasound images.

Wenkai Yang, Yunyun Dong, Qianqian Du, Yan Qiang, Kun Wu, Juanjuan Zhao, Xiaotang Yang, Muhammad Bilal Zia

Eng. Appl. Artif. Intell., 2021

Well-classified Examples are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun

CoRR, 2021

Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.

Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Research on the Influence of Cultural Attraction on Tourist Satisfaction: An Empirical Analysis Based on Bootstrap Method.

Yan Liu, Wenkai Yang

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

Rethinking Stealthiness of Backdoor Attack against NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

An improved supervoxel 3D region growing method based on PET/CT multimodal data for segmentation and reconstruction of GGNs.

Yunyun Dong, Wenkai Yang, Jiawen Wang, Zijuan Zhao, Sanhu Wang, Qiang Cui, Yan Qiang

Multim. Tools Appl., 2020

Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks.

Kun Wu, Yan Qiang, Kai Song, Xueting Ren, Wenkai Yang, Wanjun Zhang, Akbar Hussain, Yanfen Cui

J. Intell. Manuf., 2020

DRGAN: a deep residual generative adversarial network for PET image reconstruction.

Qianqian Du, Yan Qiang, Wenkai Yang, Yanfei Wang, Yong Ma, Muhammad Bilal Zia

IET Image Process., 2020

Knowledge-guided synthetic medical image adversarial augmentation for ultrasonography thyroid nodule classification.

Guohua Shi, Jiawen Wang, Yan Qiang, Xiaotang Yang, Juanjuan Zhao, Rui Hao, Wenkai Yang, Qianqian Du, Ntikurako Guy-Fernand Kazihise

Comput. Methods Programs Biomed., 2020

2019

MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data.

Yunyun Dong, Wenkai Yang, Jiawen Wang, Juanjuan Zhao, Yan Qiang, Zijuan Zhao, Ntikurako Guy-Fernand Kazihise, Yanfen Cui, Xiaotong Yang, Siyuan Liu

BMC Bioinform., 2019

DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification.

Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Guohua Shi, Muhammad Bilal Zia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019