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分區1區，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分區1區，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分區2區)
[4] 賈虎，鄧力琿.基于流線聚類人工智能方法的水驅油藏流場識別[J].石油勘探與開發，2018，45(2)：312-319. (SCI, IF:7.5, 中科院分區1區)
[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, 中科院分區2區，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收錄)
[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, 中科院分區2區，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, 中科院分區1區，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分區1區，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, 中科院分區1區，top期刊) 橫縱向科研項目 1. 2024CXJB08，中國石油-西南石油大學創新聯合體支持交叉學科發展“揭榜掛帥”項目 ”基于解耦地質模型的強非均質氣藏水侵前緣雙向校準調控”，主持，在研
2. 橫向協作項目，“水驅油藏滲流場表征評價與重構研究”，負責人，在研
3. 橫向協作項目，“子長油田余家坪區長2油藏水驅滲流場動態演化規律與調控方法研究”，負責人，在研
4. 橫向協作項目，“定邊長4+5油藏注采方式優化與控水穩油對策研究”，負責人，在研
5. 橫向協作項目，“水驅油藏基于流線模擬滲流場數字信息研究及軟件研發”，主要參與人，已結題
6. 2015JQO038，四川省杰出青年學術技術帶頭人培育基金，注空氣開發致密油藏氣體-原油體系非平衡擴散傳質行為及預測模型，主要參與人，已結題
7. 61977013，國家自然基金面上項目，面向在線學習的基于SAF的推薦模型研究，參與人，結題 |
