主持縱向項(xiàng)目： 1.國(guó)家自然科學(xué)基金面上項(xiàng)目《代價(jià)敏感學(xué)習(xí)的粗糙集方法》，編號(hào)：61379098，經(jīng)費(fèi)75萬(wàn)元。 發(fā)表SCI檢索論文100余篇，一區(qū)30余篇，高被引論文10篇，h-index=31，入選斯坦福大學(xué)發(fā)布的“2022全球前2%頂尖科學(xué)家榜”。代表性論文包括： [1] 閔帆, 何華平, 錢(qián)宇華, 祝峰, Test-cost-sensitive attribute reduction, Information Sciences, 181(22), pp. 4928–4942, 2011.（300+次引用）
[2] 張恒汝, 閔帆, Three-way recommender systems based on random forests, Knowledge-Based Systems. 91(2016)275–286.（200+次引用）
[3] 張恒汝, 閔帆, 石兵, Regression-based three-way recommendation, Information Sciences. 378(1)(2017)444–461.（100+次引用）
[4] 閔帆, 胡清華, 祝峰, Feature selection with test cost constraint, International Journal of Approximate Reasoning, 55(1), pp. 167–179, 2014（100+次引用）
[5] 閔帆, 劉啟和, A hierachical model for cost-sensitive decision systems, Information Sciences 179(14), pp. 2442–2452, 2009.（100+次引用）
[6] 閔帆, 祝峰, Attribute reduction of data with error ranges and test costs, Information Sciences, 211, pp. 48–67, 2012.（100+次引用）
[7] 汪敏, 閔帆, 吳彥學(xué), 張智恒, Active learning through density clustering, Expert Systems with Applications. 85(1)(2017)305–317.（100+次引用）
[8] 楊梅, 張雨軒, 王熙照, 閔帆. Multi-instance ensemble learning with discriminative bags. IEEE Transactions on Systems Man Cybernetics-Systems. 52(9)(2022)5456–5467.
[9] 汪敏, 楊春宇, 趙飛, 閔帆, 王熙照. Cost-sensitive active learning for incomplete data. IEEE Transactions on Systems Man Cybernetics-Systems. 53(1)(2023)405–416.
[10] 汪敏, 趙鵬, 陸欣, 閔帆, 王熙照. Fine-grained visual categorization: A spatial–frequency feature fusion perspective. IEEE Transactions on Circuits and Systems for Video Technology. (2023).
[11] 錢(qián)坤, 閔雪陽(yáng), 程玉勝, 閔帆. Weight matrix sharing for multi-label learning. Pattern Recognition. 136(2023)109156.
[12] 張恒汝, 秋穎, 朱科霖, 閔帆. Lower bound estimation of recommendation error through user uncertainty modeling. Pattern Recognition. 136(2023)109171
[13] 閔帆, 王林蓉, 潘樹(shù)林, 宋國(guó)杰. Fast convex set projection with deep prior for seismic interpolation. Expert Systems with Applications. 213(2023)119256.
[14] 閔帆, 王林蓉, 潘樹(shù)林, 宋國(guó)杰. D2UNet: Dual decoder U-Net for seismic image super-resolution reconstruction. IEEE Transactions on Geoscience and Remote Sensing (2023). |
