广西壮族自治区南宁市 朱梅萍
从事领域:资料待完善
擅长能力:1. 热门多维微纳材料的功能性设计及研制: 零维材料(生物炭球、金属有机骨架材料、半导体纳米材料等) 二维材料(石墨烯、过渡金属碳化物(MXenes)等) 三维材料(气凝胶) 2. 气-固相吸附及低碳催化氧化动力学和热力学研究 3. 吸附/热催/电催/光催化技术耦合及协同催化机理研究 4. 低维导电薄膜材料的光电化学研究
陕西西安市 程德
从事领域:资料待完善
擅长能力:计算机视觉 机器学习 图像视频编码 计算机视觉方向:视频内容分析与理解,包含行人再识别、目标检测和跟踪、视频定位等。 机器学习方向:无监督和半监督机器学习、噪声标签学习等。 【导师团队介绍】 王楠楠教授,主页: https://web.xidian.edu.cn/nnwang/ 程 德 老师, 主页: https://web.xidian.edu.cn/dcheng/ 朱明瑞老师,主页: https://web.xidian.edu.cn/mrzhu/ 辛经纬老师 【招生信息】 本团队欢迎2023届推免、优研同学提前邮件联系! 团队每年在西安本部、西电广州研究院、西电杭州研究院均有大量招生名额,欢迎报考! 长期招收优秀本科生参与项目实习,优秀者可保研本团队或推荐校外优秀团队或公司! 【代表性工作】 [1] De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng, Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function, CVPR 2016, (Google Scholar Citation: 1250次), CCF A类国际会议 [2] De Cheng, Jingyu Zhou, Nannan Wang, Xinbo Gao, Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id, IEEE Transactions on Image Processing, 2022,CCF A类Top期刊,IF: 10.86, JCR一区 [3] De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun, Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction, IJCAI 2022, CCF A类国际会议 [4] De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Massshi Sugiyama, Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation, CVPR 2022,CCF A类国际会议 [5] Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang, Robust Region Feature Synthesizer for Zero-Shot Detection, CVPR 2022,CCF A类国际会议 [6] Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang Xinbo Gao, Support-Set Based Cross-Supervision for Video Grounding,ICCV 2021,CCF A类国际会议 [7] De Cheng, Zhihui Li, Yihong Gong, Dingwen Zhang, Fusion of Multiple Person Re-id Methods With Model and Data-Aware Abilities, IEEE Transactions on Cybernetics, 2020, CCF B类期刊,IF: 11.448, JCR一区Top期刊 [8] Diangang Li, Yihong Gong, De Cheng (通讯作者),Weiwei Shi, Xiaoyu Tao, Xinyuan Chang, Consistency-Preserving deep hashing for fast person re-identification, Pattern Recognition, 2019, CCF B类期刊,IF: 7.74, JCR一区Top期刊 [9] De Cheng, Yihong Gong, Xiaojun Chang, Weiwei Shi, Alexander G. Hauptmann, Nanning Zheng, Deep feature learning via structured graph Laplacian embedding for person re-identification, Pattern Recognition, 2018, CCF B类期刊,IF: 7.74, JCR一区Top期刊 [10] Weiwei Shi, Yihong Gong, De Cheng (通讯作者),Xiaoyu Tao, Nanning Zheng, Entropy and orthogonality based deep discriminative feature learning for object recognition, Pattern Recognition, 2018, CCF B类期刊,IF: 7.74, JCR一区Top期刊 [11] De Cheng, Xiaojun Chang, Li Liu, Alelxander G. Hauptmenn, Yihong Gong, Nanning Zheng, Discriminative Dictionary Learning With Ranking Metric Embedded for Person Re-Identification, IJCAI 2017, CCF A类国际会议 [12] Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann, Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos, ICCV 2017, CCF A类国际会议 [13] De Cheng, Yihong Gong, Jinjun Wang, Nanning Zheng, Balanced Mixture of Deformable Part Models With Automatic Part Configurations, IEEE Transactions on Circuits and Systerms for Video Technology (T-CSVT), 2017, CCF B类期刊,IF: 4.685, JCR一区Top期刊 [14] Weiwei Shi, Yihong Gong, Xiaoyu Tao, De Cheng, Nanning Zheng, Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses, IEEE Transactions on Neural Network and Learning System (T-NNLS), 2019, CCF B类期刊,IF: 10.451, JCR一区Top期刊 [15] Zhiqiang Zeng, Zhihui Li, De Cheng, Huaxiang Zhang, Kun Zhan, Yi Yang, Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification, IEEE Transactions on Industrial Informatics, 2018, IF: 10.215, JCR一区Top期刊
从事领域:农药
擅长能力:1. 微生物农药、微生物兽药 微生物农药、兽药,包括农用抗生素和活体微生物制剂,即利用微生物或其代谢产物来防治危害农作物的病虫害、畜禽病害及促进作物和动物的生长。微生物农药及兽药具有选择性强,对人、畜、农作物和自然环境安全,不伤害天敌,不易产生抗性等特点。随着人们对环境保护越来越高的要求,微生物农药具有广阔的发展前景。