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熊盛武

发布时间:2015-05-27     字体:[增加 减小]

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


Ø 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


Ø 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. 湖北省重点重大项目:智能网联汽车;无人驾驶;作物表型神农科学大装置;物联网多模态数据智能通算技术

5. 企业合作:人工智能科学计算;异构算子+模型优化(NLP+CV+ASR);智能网联汽车器件与算法开发;智慧农业;智能交通;大语言模型;毕昇编译器异构场景下的计算表达和极致性能调优;大数据育种智能计算平台


Ø 发表的最新论文

l AI模型和算法

1. ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot LearningAAAI 2023(CCF A会议

2. Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On, NeurIPS 2023(CCF A会议)

3. SSAT ++ : A Semantic-Aware and Versatile Makeup Transfer Network With Local Color Consistency Constraint,IEEE Transactions on Neural Networks and Learning Systems,2023

4. 3D Facial Priors Guided Local-Global Motion Collaboration Transforms for One-shot Talking-Head Video Synthesis,IEEE Transactions on Consumer Electronics,2023

5. Learning Deep Asymmetric Tolerant Part RepresentationIEEE Transactions on Artificial Intelligence, 2023

l 智能汽车与驾驶

1. DLFusion: Painting-Depth Augmenting-LiDAR for Multimodal Fusion 3D Object Detection. ACM Multimedia 2023(CCF A会议)

2. An Efficient Message Dissemination Scheme for Cooperative Drivings via Cooperative Hierarchical Attention Reinforcement Learning,IEEE Transactions on Mobile Computing,2023

3. Multi-Agent Attention Double Actor-Critic Framework for Intelligent Traffic Light Control in Urban Scenarios With Hybrid Traffic,IEEE Transactions on Mobile Computing, 2023

4. Residual Deformable Convolution for better image de-weatheringPattern Recognition2023

5. Federated clustering for recognizing driving styles from private trajectoriesEngineering Applications of Artificial Intelligence2023

l 智能语音处理

1. Multi-Fisher and Triple-Domain Feature Enhancement-Based Short Utterance Speaker Verification for IoT Smart Service,IEEE Internet of Things Journal,2023

2. BSML: Bidirectional Sampling Aggregation-based Metric Learning for Low-resource Uyghur Few-shot Speaker Verification. ACM Transactions on Asian Low Resource Language Information Processing2023

3. Joint filter combination-based central difference feature extraction and attention-enhanced Dense-Res2Block network for short-utterance speaker recognitionExpert Systems with Applications2023

4. Short-Duration Speaker Verification by Joint Filter Superposition-Based Multi-Dimensional Central Difference Feature Extraction and Res2Block-Based Bidirectional SamplingIEEE Transactions on Consumer Electronics,2023

5. Aggregating discriminative embedding by triple-domain feature joint learning with bidirectional sampling for speaker verificationBiomedical Signal Processing and Control,2023

l 多模态遥感

1. Multi-scale Salient Alignment Learning for Remote Sensing Image-Text Retrieval, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

2. Fine Aligned Discriminative Hashing for Remote Sensing Image-Audio Retrieval,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

3. Self-Supervision Interactive Alignment for Remote Sensing Image–Audio Retrieval,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

4. MATNet: A Combining Multi-Attention and Transformer Network for Hyper-spectral Image Classification,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

5. A Joint Saliency Temporal-Spatial-Spectral Information Network for Hyper-spectral Image Change Detection, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

l 生物信息学智慧农业

1. Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity,BRIEFINGS IN BIOINFORMATICS,2023

2. Field detection of small pests through stochastic gradient descent with genetic algorithm,Computers and Electronics in Agriculture2023

3. SANet: A Self-Attention Network for Agricultural Hyper-spectral Image Classification, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

4. Global-Group Attention Network with Focal Attention Loss for Aerial Scene Classification , IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023

5. Deep Saliency Smoothing Hashing for Drone Image Retrieval, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023


Ø 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,首批昇腾领军人物(MVP,2022年)。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。

承担主持863、国家重点研发计划、国家自然科学基金和湖北省重大创新计划等20余项目研究,获省部级以上教学和科研成果奖励一等奖4项,二等奖5项。出版专著3部,获国家科学技术学术著作出版基金资助,获得国家发明专利授权50余项。在权威期刊TIP,TKDE, TMC,TITS,IoTJ,TGRS,TNNLS,TALLIP,TCBB,BRIEFINGS IN BIOINFORMATICS等和会议AAAI,ICCV,ACM MM,NeurIPS, DAC, COLING,BIBM,ICRA,ICASSP,INTERSPEECH等发表学术论文100余篇。 

海南省“优秀研究生导师”和“优秀研究生导师团队”负责人,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7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。