| 2026 | AAAI | HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation. | Yiran Liu, Zhiyi Hou, Xiaoang Xu, Shuo Wang, Huijia Wu, Kaicheng Yu, Yang Yu, ChengXiang Zhai |
| 2026 | AAAI | Stationary and Clustering Transformer Hashing for Cross-modal Retrieval. | Zhan Yang, Yiran Liu, Youyuan Huang, Yinan Li |
| 2026 | ACL | FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning. | Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu |
| 2025 | IJCNLP | PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models. | Zeqiang Wang, Yuqi Wang, Xinyue Wu, Chenxi Li, Yiran Liu, Linghan Ge, Zhan Yu, Jiaxin Shi, Suparna De |
| 2025 | IJCNN | A Dual-path Spatial-Temporal Separation Framework for 3D Human Pose Estimation. | Yiran Liu, Ruirui Li, Yuandong Hu |
| 2025 | IJCNN | Unsupervised Dual-discriminative Graph Neural Network for Anomaly Detection. | Yiran Liu, Jiong Yu, Zhuang Chu, Shu Li, Xusheng Du |
| 2025 | TrustCom | Dynamic Hybrid Backdoor Attack: Saliency-Guided Composite Triggers for Image Classification. | Yuanhao Shen, Ying Wang, Yiran Liu, Zili Yao, Xue-Song Qiu, Shaoyong Guo |
| 2024 | AAAI | Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study. | Haotian Chen, Lingwei Zhang, Yiran Liu, Yang Yu |
| 2024 | CIKM | An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing. | Xinlang Yue, Yiran Liu, Fangzhou Shi, Sihong Luo, Chen Zhong, Min Lu, Zhe Xu |
| 2024 | ICML | Causality Based Front-door Defense Against Backdoor Attack on Language Models. | Yiran Liu, Xiaoang Xu, Zhiyi Hou, Yang Yu |
| 2024 | KDD | Rethinking Order Dispatching in Online Ride-Hailing Platforms. | Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo |
| 2023 | EMNLP | Tuna: Instruction Tuning using Feedback from Large Language Models. | Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei |
| 2023 | ICCV | TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization. | Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming |