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 (MICCAI (4), 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)

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)

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)

Image synthesis in contrast MRI based on super resolution reconstruction with multi-refinement cycle-consistent generative adversarial networks. - Kun Wu 005; Yan Qiang; Kai Song 004; Xueting Ren; Wenkai Yang; Wanjun Zhang; Akbar Hussain; Yanfen Cui (J. Intell. Manuf., 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)

Rethinking Stealthiness of Backdoor Attack against NLP Models. - Wenkai Yang; Yankai Lin; Peng Li 030; Jie Zhou 016; Xu Sun 001 (ACL/IJCNLP (1), 2021)

Research on the Influence of Cultural Attraction on Tourist Satisfaction: An Empirical Analysis Based on Bootstrap Method. - Yan Liu; Wenkai Yang (CIPAE, 2021)

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. - Wenkai Yang; Yankai Lin; Peng Li 030; Jie Zhou 016; Xu Sun 001 (EMNLP (1), 2021)

Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. - Wenkai Yang; Lei Li 039; Zhiyuan Zhang 001; Xuancheng Ren; Xu Sun 001; Bin He (NAACL-HLT, 2021)

Well-classified Examples are Underestimated in Classification with Deep Neural Networks. - Guangxiang Zhao; Wenkai Yang; Xuancheng Ren; Lei Li 039; Xu Sun 001 (CoRR, 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 005; 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 039; Yunfang Wu; Xu Sun 001 (AAAI, 2022)

Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks. - Sishuo Chen; Wenkai Yang; Zhiyuan Zhang 001; Xiaohan Bi; Xu Sun 001 (EMNLP (Findings), 2022)

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter. - Yi Liu; Xiaohan Bi; Lei Li 039; Sishuo Chen; Wenkai Yang; Xu Sun 001 (ACL (Findings), 2023)

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features. - Sishuo Chen; Wenkai Yang; Xiaohan Bi; Xu Sun 001 (EACL (Findings), 2023)

Agricultural Robotic System: The Automation of Detection and Speech Control. - Wenkai Yang; Ruihang Ji; Yiran Yue; Zhonghan Gu; Wanyang Shu; Shuzhi Sam Ge (ICSR (2), 2023)

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. - Wenkai Yang; Deli Chen; Hao Zhou 012; Fandong Meng; Jie Zhou 016; Xu Sun 001 (CoRR, 2023)

Towards Codable Text Watermarking for Large Language Models. - Lean Wang; Wenkai Yang; Deli Chen; Hao Zhou 012; Yankai Lin; Fandong Meng; Jie Zhou 016; Xu Sun 001 (CoRR, 2023)

Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning. - Wenkai Yang; Ruihang Ji; Yuxiang Zhang 004; Hao Lei; Zijie Zhao (CoRR, 2023)

Two Stream Scene Understanding on Graph Embedding. - Wenkai Yang; Wenyuan Sun; Runxaing Huang (CoRR, 2023)

Enabling Large Language Models to Learn from Rules. - Wenkai Yang; Yankai Lin; Jie Zhou 016; Jirong Wen (CoRR, 2023)

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. - Wenkai Yang; Yankai Lin; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (Trans. Mach. Learn. Res., 2023)

Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. - Lean Wang; Wenkai Yang; Deli Chen; Hao Zhou 012; Yankai Lin; Fandong Meng; Jie Zhou 016; Xu Sun 001 (ICLR, 2024)

Defying Forgetting in Continual Relation Extraction via Batch Spectral Norm Regularization. - Rundong Gao; Wenkai Yang; Xu Sun 001 (IJCNN, 2024)

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents. - Wenkai Yang; Xiaohan Bi; Yankai Lin; Sishuo Chen; Jie Zhou 016; Xu Sun 001 (NeurIPS, 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)

Decentralized Decoupled Training for Federated Long-Tailed Learning. - Wenkai Yang; Deli Chen; Hao Zhou 012; Fandong Meng; Jie Zhou 016; Xu Sun 001 (Trans. Mach. Learn. Res., 2024)

Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL. - Wei Yao 017; Wenkai Yang; Ziqiao Wang; Yankai Lin; Yong Liu 018 (ACL (Findings), 2025)

Exploring Backdoor Vulnerabilities of Chat Models. - Wenkai Yang; Yunzhuo Hao; Yankai Lin (COLING, 2025)

Distilling Rule-based Knowledge into Large Language Models. - Wenkai Yang; Yankai Lin; Jie Zhou; Ji-Rong Wen (COLING, 2025)

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. - Wenkai Yang; Shiqi Shen; Guangyao Shen; Wei Yao 017; Yong Liu 018; Gong Zhi; Yankai Lin; Ji-Rong Wen (ICLR, 2025)

CASEMark: A hybrid model for robust anatomical landmark detection in multi-structure X-rays. - Zhen Huang 007; Xiaoqian Zhou; Xu He; Yangbo Wei; Wenkai Yang; Suhua Wang; Xiaoxin Sun; Han Li (J. King Saud Univ. Comput. Inf. Sci., 2025)

Understanding the Capabilities and Limitations of Weak-to-Strong Generalization. - Wei Yao 017; Wenkai Yang; Ziqiao Wang; Yankai Lin; Yong Liu 018 (CoRR, 2025)

Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning. - Wenkai Yang; Shuming Ma; Yankai Lin; Furu Wei (CoRR, 2025)

DeepCritic: Deliberate Critique with Large Language Models. - Wenkai Yang; Jingwen Chen; Yankai Lin; Ji-Rong Wen (CoRR, 2025)

On Weak-to-Strong Generalization and f-Divergence. - Wei Yao 017; Gengze Xu; Huayi Tang; Wenkai Yang; Donglin Di; Ziqiao Wang; Yong Liu 018 (CoRR, 2025)

Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning. - Yiju Guo; Wenkai Yang; Zexu Sun; Ning Ding 002; Zhiyuan Liu 001; Yankai Lin (CoRR, 2025)