| 2026 | AAAI | ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution. | He Li, Xiaojun Chen, Jingcheng He, Zhendong Zhao, Shuguang Yuan, Xin Zhao, Yunfei Yang |
| 2026 | AAAI | DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks. | Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao, Xin Zhao, He Li |
| 2026 | AAAI | Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation. | Xin Zhao, Xiaojun Chen, Bingshan Liu, Zeyao Liu, Zhendong Zhao, Xiaoyan Gu |
| 2026 | DASFAA | Buster: Implanting Semantic Backdoor Into Text Encoder to Mitigate NSFW Content Generation. | Xin Zhao, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao, Xinfeng Li, Xiaojun Jia, Xiaofeng Wang |
| 2025 | ECAI | IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning. | Jiayao Wang, Yang Song, Zhendong Zhao, Jiale Zhang, Junwu Zhu, Qilin Wu, Dongfang Zhao |
| 2025 | EMNLP | Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models. | He Li, Xiaojun Chen, Zhendong Zhao, Yunfei Yang, Xin Zhao, Jingcheng He |
| 2025 | ICASSP | Take Attention Inside: Neighbor Pair Graph Contrastive Learning. | Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao |
| 2025 | PRICAI | ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting. | He Li, Xiaojun Chen, Yunfei Yang, Zhendong Zhao, Shuguang Yuan, Xin Zhao |
| 2024 | APWEB | KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learning. | Yingtao Peng, Tangpeng Dan, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng |
| 2024 | ECCV | CipherDM: Secure Three-Party Inference for Diffusion Model Sampling. | Xin Zhao, Xiaojun Chen, Xudong Chen, He Li, Tingyu Fan, Zhendong Zhao |
| 2024 | ICONIP | Progtuning: Progressive Fine-Tuning Framework for Transformer-Based Language Models. | Xiaoshuang Ji, Zhendong Zhao, Xiaojun Chen, Xin Zhao, Zeyao Liu |
| 2024 | IJCNN | STMS: An Out-Of-Distribution Model Stealing Method Based on Causality. | Yunfei Yang, Xiaojun Chen, Zhendong Zhao, Yuexin Xuan, Bisheng Tang, Xiaoying Li |
| 2023 | DASFAA | KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive Learning. | Yingtao Peng, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng |
| 2023 | ECAI | Unsupervised Graph Structure-Assisted Personalized Federated Learning. | Xiaoying Li, Xiaojun Chen, Bisheng Tang, Shaopu Wang, Yuexin Xuan, Zhendong Zhao |
| 2022 | CVPR | DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. | Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang |
| 2022 | IJCNN | KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks. | Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao |
| 2022 | IJCNN | Rethinking the Feature Iteration Process of Graph Convolution Networks. | Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao |
| 2022 | IJCNN | ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning. | Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Yangyang Ding, Jianming Lv |
| 2015 | ACL | A Computationally Efficient Algorithm for Learning Topical Collocation Models. | Zhendong Zhao, Lan Du, Benjamin Brschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson |
| 2012 | ICML | A Split-Merge Framework for Comparing Clusterings. | Qiaoliang Xiang, Qi Mao, Kian Ming Adam Chai, Hai Leong Chieu, Ivor W. Tsang, Zhendong Zhao |
| 2007 | ICTAI | A Novel Model of Working Set Selection for SMO Decomposition Methods. | Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shun-Yi Zhang, Yan-Fei Sun |