| 2026 | AAAI | ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions. | Xingwei He, Qianru Zhang, Pengfei Chen, Guanhua Chen, Linlin Yu, Yuan Yuan, Siu-Ming Yiu |
| 2026 | AAAI | Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. | Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu |
| 2026 | AAAI | MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. | Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao |
| 2026 | ACL | Uncertainty-Aware Test-Time Search for Optimization Problem Solving. | Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen |
| 2025 | AISTATS | Evidential Uncertainty Probes for Graph Neural Networks. | Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen |
| 2025 | ICLR | Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function. | Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen |
| 2025 | WWW | Pricing Items Based on Their Own History: Transformer-Generated Deep Isotonic Pricing Networks. | Longxiang Zhang, Linlin Yu, Bin Chen, Zhuojun Wang, Chengfu Huo |
| 2024 | EMNLP | Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? | Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu |
| 2024 | ICLR | Uncertainty-aware Graph-based Hyperspectral Image Classification. | Linlin Yu, Yifei Lou, Feng Chen |
| 2024 | NAACL | Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. | Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen |
| 2020 | IJCNN | A Transfer Learning Method with Multi-feature Calibration for Building Identification. | Jiafa Mao, Linlin Yu, Hui Yu, Yahong Hu, Weiguo Sheng |