| 2026 | ACL | Dissecting Failure Dynamics in Large Language Model Reasoning. | Wei Zhu, Jian Zhang, Lixing Yu, Kun Yue, Zhiwen Tang |
| 2025 | CIKM | Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion. | Zhongbin Li, Lixing Yu, Kun Yue, Xinquan Wu |
| 2025 | CIKM | Structural Entropy-based Multivariate Time Series Forecasting. | Xinhui Li, Kun Yue, Lixing Yu, Peizhong Yang |
| 2025 | CIKM | FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance. | Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu |
| 2025 | ICASSP | Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks. | Hanqi Chen, Lixing Yu, Shaojie Zhan, Penghui Yao, Jiankun Shao |
| 2025 | IJCAI | Conditional Information Bottleneck-Based Multivariate Time Series Forecasting. | Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li |
| 2025 | UAI | Improving Graph Contrastive Learning with Community Structure. | Xiang Chen, Kun Yue, Liang Duan, Lixing Yu |
| 2025 | UAI | Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. | Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue |
| 2024 | ACML | FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning. | Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji |
| 2024 | DASFAA | Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. | Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li |
| 2021 | MOBIHOC | Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. | Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li |
| 2019 | ICDM | Quantized Adversarial Training: An Iterative Quantized Local Search Approach. | Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | IJCAI | Learning to Learn Gradient Aggregation by Gradient Descent. | Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li |
| 2018 | ACML | SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. | Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li |
| 2018 | ACML | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. | Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li |
| 2018 | PAKDD | Cross-Domain Sentiment Classification via a Bifurcated-LSTM. | Jinlong Ji, Changqing Luo, Xuhui Chen, Lixing Yu, Pan Li |