姓名:熊盛武
学位:工学博士(专业:计算机软件与理论)
职称:教授
E-mail:xiongsw@whut.edu.cn
QQ:963002582
研究方向
1. 机器学习,深度学习
2. 人工智能科学计算,生物信息学
3. 智能汽车,自动驾驶
主要科研项目
1. 国家重点研发计划:品种分子设计育种平台;藏文文献数字化无损采集装置与数据处理;面向基础教育的类人智能知识理解与推理关键技术;面向泛在场景的通用视觉对话模型与应用验证
2. 国家自然科学基金:混合交通流优化;出行行为理解;知识图谱构建;无人机图像与遥感检索
3. 工业与信息化部:车联网关键技术创新和应用平台
4. 湖北省重大专项:智能网联汽车;无人驾驶;作物表型神农科学大装置企业合作:人工智能科学计算;MindSpore算子+模型;MindSpore领域图像语义分割套件;智能语音识别;智能网联汽车器件与算法开发;遥感舰船识别;智慧农业;智能交通
1. ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning,AAAI,2023(CCF A)
2. Learning Deep Asymmetric Tolerant Part Representation,IEEE Transactions on Artificial Intelligence,2022
3. SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. AAAI ,2022: 2325-2334(CCF A)
4. Text Style Transfer based on Multi-factor Disentanglement and Mixture, ACM Multimedia,2022: 2430-2440(CCF A)
5. Double Graph Regularized Double Dictionary Learning for Image Classification, IEEE Transactions on Image Processing,2020(CCF A)
1. Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity,BRIEFINGS IN BIOINFORMATICS,2023(CCF B)
2. Local R-Symmetry Co-Occurrence: Characterising Leaf Image Patterns for Identifying Cultivars,IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2022(CCF B)
3. Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance,ICCV,2021(CCF A)
4. Patchy Image Structure Classification Using Multi-Orientation Region Transform,AAAI,2020(CCF A)
5. A Variational Bayesian Framework for Cluster Analysis in a Complex Network,IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2020(CCF A)
1. Multi-Agent Attention Double Actor-Critic Framework for Intelligent Traffic Light Control in Urban Scenarios With Hybrid Traffic,IEEE Transactions on Mobile Computing,2023(CCF A)
2. Federated clustering for recognizing driving styles from private trajectories, Engineering Applications of Artificial Intelligence,2023(CCF C)
3. A Region-Based Collaborative Management Scheme for Dynamic Clustering in Green VANET, IEEE Transactions on Green Communications and Networking,2022
4. Optimizing Living Material Delivery During the COVID-19 Outbreak, IEEE Transactions on Intelligent Transportation Systems,2022(CCF B)
5. Deep Quadruple-Based Hashing for Remote Sensing Image-Sound Retrieval, IEEE Transactions on Geoscience and Remote Sensing,2022(CCF B)
教学和科研工作简介
主要从事人工智能教学和研究工作,湖北省人工智能产业链专家咨询组专家,武汉市人工智能创新发展专家咨询委员会专家,华为云MVP(2020年),首批昇腾领军人物(MVP,2022年)。
承担主持863计划、国家重点研发计划、国防基础研究和国家自然科学基金等项目的研究,获省部级教学和科研成果一等奖4项,二等奖5项。在CCF推荐期刊TIP,TKDE, TITS,TGRS,TALLIP,TCBB,BRIEFINGS IN BIOINFORMATICS等和CCF推荐会议AAAI,ICCV,MM,COLING,BIBM,ICRA,ICASSP,INTERSPEECH等发表学术论文50余篇,获得国家发明专利授权15项,出版专著获国家科学技术学术著作出版基金资助,海南省首批双百团队“物流区块链与车联网关键技术”负责人,教育部“深度学习课程虚拟教研室”负责人。
海南省首届“优秀研究生导师”,武汉理工大学首批“卓越研究生教育优秀指导教师”,指导研究生多次获科技创新竞赛奖励,5次获湖北省优秀博士学位论文、硕士学位论文。指导毕业博士研究生20余名,硕士研究生100余名,合作博士后5名,国内访问学者7名。
招收人工智能方向合作博士后、学术博士、工程博士和学术硕士、专业硕士。