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(qū)1區(qū)，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(qū)1區(qū)，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(qū)2區(qū))
[4] 賈虎，鄧力琿.基于流線(xiàn)聚類(lèi)人工智能方法的水驅(qū)油藏流場(chǎng)識(shí)別[J].石油勘探與開(kāi)發(fā)，2018，45(2)：312-319. (SCI, IF:7.5, 中科院分區(qū)1區(qū))
[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(qū)2區(qū)，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(qū)2區(qū)，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(qū)1區(qū)，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(qū)1區(qū)，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(qū)1區(qū)，top期刊)
[11] 王欣, 吳曉茹, 張翀, 鄧力琿, 王軍. 天然氣全生命周期產(chǎn)量預(yù)測(cè)關(guān)鍵技術(shù)研究[J]. 工程科學(xué)學(xué)報(bào). (中文核心, IF:2.4) 橫縱向科研項(xiàng)目 1.2024CXJB08，2024.12-2026.12，中國(guó)石油-西南石油大學(xué)創(chuàng)新聯(lián)合體支持交叉學(xué)科發(fā)展“揭榜掛帥”項(xiàng)目，基于解耦地質(zhì)模型的強(qiáng)非均質(zhì)氣藏水侵前緣雙向校準(zhǔn)調(diào)控，主持，在研
2.橫向協(xié)作項(xiàng)目，2023.12-2024.12，水驅(qū)油藏滲流場(chǎng)表征評(píng)價(jià)與重構(gòu)研究，技術(shù)負(fù)責(zé)人，結(jié)題
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7.橫向協(xié)作項(xiàng)目，2025.9-2026.8 ，基于智能模擬的壓驅(qū)竄流預(yù)警方法及封竄工藝參數(shù)優(yōu)化研究， 技術(shù)負(fù)責(zé)人，在研
8.橫向協(xié)作項(xiàng)目，2025.12-2026.12 ，“3+2”開(kāi)發(fā)儲(chǔ)層動(dòng)態(tài)表征方法及剩余油演化規(guī)律研究， 技術(shù)負(fù)責(zé)人，在研
9.橫向協(xié)作項(xiàng)目，2025.9-2026.9，潿洲12-1油田潿四段前置注氣增能儲(chǔ)層解堵與改造技術(shù)研究， 技術(shù)負(fù)責(zé)人，在研
10.橫向協(xié)作項(xiàng)目，2025.8-2025.12，低成本控水壓裂技術(shù)研究和應(yīng)用， 技術(shù)負(fù)責(zé)人，結(jié)題 |
