代表性成果 [1] Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu. A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction [J]. Neural Networks, 2021, 139: 358–370. (SCI, IF: 7.8, JCR分区1区，CCF-B，top期刊)
[2] Lihui Deng, Bo Yang, Zhongfeng Kang, Yanping Xiang. Invariant feature based label correction for DNN when learning with noisy labels [J]. Neural Networks, 2024, 172: 106137. (SCI, IF: 7.8, JCR分区1区，CCF-B，top期刊)
[3] Lihui Deng, Bo Yang, Zhongfeng Kang, Jiajin Wu, Shaosong Li, Yanping Xiang. Separating hard clean samples from noisy samples with samples' learning risk for DNN when learning with noisy labels [J]. Complex & Intelligent Systems, 2024, 10: 4033-4054.. (SCI, IF:5.8, JCR分区2区)
[4] 贾虎，邓力珲.基于流线聚类人工智能方法的水驱油藏流场识别[J].石油勘探与开发，2018，45(2)：312-319. (SCI, IF:7.5, 中科院分区1区)
[5] Hu Jia, Lihui Deng. Non-equilibrium 3-D simulator applied to air injection EOR in light oil reservoirs [J]. Journal of Petroleum Science and Engineering, 2018, 168: 310-329. (SCI, IF: 5.2, 中科院分区2区，top期刊)
[6] Lihui Deng, Bo Yang, Dian Wang, Yanping Xiang. Relative prediction probability based label correction method for dnn when learning with noisy labels in class imbalanced dataset[C]. 3rd International Conference on Digital Society and Intelligent Systems, Chengdu, China, 2023, 363-367. (EI收录)
[7] Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang. A buffered online transfer learning algorithm with multi-layer network [J]. Neurocomputing, 2022, 488:581-597.(SCI, IF:6.0, 中科院分区2区，CCF-C，top期刊)
[8] Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan Sloth Lorenzen. Online transfer learning with partial feedback [J]. Expert Systems with Applications, 2023, 212:118738.(SCI, IF:8.5, 中科院分区1区，CCF-C，top期刊)
[9] Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng. IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control [J]. Neural Networks , 2021, 139: 265-277. (SCI, IF: 7.8, JCR分区1区，CCF-B，top期刊)
[10] Jiajin Wu, Bo Yang, Dongsheng Li, Lihui Deng. A semantic relation-aware deep neural network model for end-to-end conversational recommendation [J]. Applied Soft Computing, 2023, 132:109873. (SCI, IF:8.7, 中科院分区1区，top期刊) 横纵向科研项目 1. 2024CXJB08，中国石油-西南石油大学创新联合体支持交叉学科发展“揭榜挂帅”项目 ”基于解耦地质模型的强非均质气藏水侵前缘双向校准调控”，主持，在研
2. 横向协作项目，“水驱油藏渗流场表征评价与重构研究”，负责人，在研
3. 横向协作项目，“子长油田余家坪区长2油藏水驱渗流场动态演化规律与调控方法研究”，负责人，在研
4. 横向协作项目，“定边长4+5油藏注采方式优化与控水稳油对策研究”，负责人，在研
5. 横向协作项目，“水驱油藏基于流线模拟渗流场数字信息研究及软件研发”，主要参与人，已结题
6. 2015JQO038，真人线上娱乐杰出青年学术技术带头人培育基金，注空气开发致密油藏气体-原油体系非平衡扩散传质行为及预测模型，主要参与人，已结题
7. 61977013，国家自然基金面上项目，面向在线学习的基于SAF的推荐模型研究，参与人，结题 |
