| 2026 | ICDCS | A Personalized Sparse LoRA Fine-Tuning Framework Under Federated Learning. | Yinggang Sun, Wenting Zhang, Haining Yu, Xiangzhan Yu |
| 2026 | INFOCOM | Semantic Curriculum for Anomaly Detection: A Unified Language-Driven Meta-Optimization Framework. | Kai Tan, Yangliu Du, Dongyang Zhan, Haining Yu, Hao Liu, Zhaofeng Yu, Wenqi Zhang |
| 2026 | ICS | DA-MLAD: Drift-Decomposed Meta-Learning for Continual Log Anomaly Detection in Supercomputing Systems. | Kai Tan, Yangliu Du, Dongyang Zhan, Yang Xie, Haining Yu, Bei Zhao, Hao Liu |
| 2025 | ICLR | Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark. | Haining Yu, Yizhou Sun |
| 2025 | ICML | The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions. | Wenbo Pan, Zhichao Liu, Qiguang Chen, Xiangyang Zhou, Haining Yu, Xiaohua Jia |
| 2021 | SIGIR | Unbiased Counterfactual Estimation of Ranking Metrics. | Haining Yu |
| 2015 | SNPD | Data layout transformation for structure vectorization on SIMD architectures. | Pengyuan Li, Qinghua Zhang, Rongcai Zhao, Haining Yu |
| 2012 | GLOBECOM | An efficient and sustainable self-healing protocol for Unattended Wireless Sensor Networks. | Juan Chen, Hongli Zhang, Binxing Fang, Xiaojiang Du, Haining Yu, Xiang-Zhan Yu |