一、基本信息

姓名：苟建平           性别：男

学历：博士             职称：教授

部门：软件工程系       邮箱：[email protected]

研究方向：人工智能、机器学习、模式识别

二、个人情况

工学博士、悉尼大学博士后、教授、博士生导师、硕士生导师，分别师从章毅教授、陶大程教授和孙林夫教授。主要从事人工智能、机器学习、模式识别方面研究，目前聚焦大模型技术、以及智慧农业、智慧医疗等应用研究。入选江苏省高校青蓝工程优秀青年骨干教师培育人选，中国博士后国际交流计划派出项目人选和重庆市留学人员回国创业创新支持计划。多媒体专委会执行委员、计算机视觉专委会执行委员、具身智能专委会执行委员、人工智能学会青年工作委员会执行委员、IEEE Senior Member、CSIG高级会员和CCF高级会员。

三、科研情况

长期从事人工智能、机器学习和模式识别等领域的理论与应用研究。在IJCV、ACM/IEEE Trans等国内外期刊和会议上发表学术论文150余篇，SCI收录100余篇，高被引用论文5篇，热点论文1篇，单篇Google引用近5000次，单篇论文连续40次ESI高被引。主持国家自然基金面上和青年项目、以及省部级等项目共计10余项，授权国家发明专利近20项，获川渝科技学术大会优秀论文一等奖、三等奖，江苏省科学技术三等奖和中国医院协会医院科技创新三等奖。指导多名本科学生进入浙江大学、西安交通大学、东南大学等攻读研究生，指导毕业的硕士研究生6名进入高校工作。

主要期刊论文

[1] Jianping Gou, Baosheng Yu, Stephen J. Maybank, Dacheng Tao, Knowledge Distillation: A Survey, International Journal of Computer Vision, 129(6), 1789-1819, 2021.

[2] Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao, Multi-Target Knowledge Distillation via Student Self-Reflection, International Journal of Computer Vision, 131(7): 1857-1874, 2023.

[3] Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao, Collaborative Knowledge Distillation via Multi-Knowledge Transfer, IEEE Transactions on Neural Networks and Learning Systems, 35(5): 6718-6730, 2024.

[4] Jianping Gou, Yu Chen, Baosheng Yu, Jinhua Liu, Lan Du, Shaohua Wan, Zhang Yi, Reciprocal Teacher-Student Learning via Forward and Feedback Knowledge Distillation，IEEE Transactions on Multimedia, 26, 7901-7916, 2024.

[5] Jianping Gou, Xiabin Zhou, Lan Du, Yibing Zhan, Wu Chen, Zhang Yi, Difference-aware Distillation for Semantic Segmentation, IEEE Transactions on Multimedia, 26, 10069-10080, 2024.

[6] Jianping Gou, Xia Yuan, Lan Du, Shuyin Xia, Zhang Yi, Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification, IEEE Transactions on Intelligent Transportation Systems, 23(12), 25308-25322, 2022.

[7] Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Weihua Ou, Zhang Yi, Multi-level Attention-based Sample Correlations for Knowledge Distillation, IEEE Transactions on Industrial Informatics, 19(5), 7099-7109, 2023.

[8] Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Dacheng Tao, Hierarchical Multi-Attention Transfer for Knowledge Distillation, ACM Transactions on Multimedia Computing, Communications and Applications, 20(2),1-20, 2023.

[9] Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi, Channel Correlation-Based Selective Knowledge Distillation, IEEE Transactions on Cognitive and Developmental Systems, 15(3), 1574-1585, 2023.

[10] Jianping Gou, Xia Yuan, Baosheng Yu, Jiali Yu, Zhang Yi, Intra- and Inter-class Induced Discriminative Deep Dictionary Learning for Visual Recognition, IEEE Transactions on Multimedia，45, 1575-1583, 2023.

[11] Jianping Gou, Xin He, Lan Du, Baosheng Yu, Wenbai Chen, Zhang Yi, Hierarchical Locality-aware Deep Dictionary Learning for Classification, IEEE Transactions on Multimedia, 26, 447-461, 2024.

[12] Jianping Gou, Youhui Cheng, Yibing Zhan, Baosheng Yu, Weihua Ou, Yi Zhang, Graph Convolutional Networks with Collaborative Feature Fusion for Sequential Recommendation, IEEE Transactions on Big Data, 11(2), 735-747, 2025.

[13] Jianping Gou, Nannan Xie, Yunhao Yuan, Lan Du, Weihua Ou, Zhang Yi, Reconstructed Graph Constrained Auto-Encoders for Multi-View Representation Learning, IEEE Transactions on Multimedia, 26, 1319 -1332, 2024.

[14] Jianping Gou, Xia Yuan, Ya Xue, Lan Du, Jiali Yu, Shuyin Xia, Zhang Yi, Discriminative and Geometry-Preserving Adaptive Graph Embedding for Dimensionality Reduction, Neural Networks, 157, 364-376, 2023.

[15] Jianping Gou, Xin He, Junyu Lu, Hongxing Ma, Weihua Ou, Yunhao Yuan, A class-specific mean vector-based weighted competitive and collaborative representation method for classification, Neural Networks, 150, 12-27, 2022.

[16] Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, Weihua Ou, Qirong Mao, Weighted Discriminative Collaborative Competitive Representation for Robust Image Classification, Neural Networks, 125, 104-120, 2020.

[17] Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification, IEEE Transactions on Cybernetics, 52(6), 4935 - 4948, 2022.

[18] Weihua Ou, Jiaxing Deng, Zhang Lei, Jianping Gou, Zhou Quan, Cross-Modal Generation and Pair Correlation Alignment Hashing, IEEE Transactions on Intelligent Transportation Systems, 24(3), 3018 - 3026, 2023.

[19] Shaoning Zeng, Bob Zhang, Jianping Gou, Yong Xu, Wei Huang, Fast and Robust Dictionary-based Classification for Image Data, ACM Transactions on Knowledge Discovery from Data, 15(6), 1-22, 2021.

[20] Jianping Gou, Wenmo Qiu, Zhang Yi, Yong Xu, Qirong Mao, Yongzhao Zhan, A Local Mean Representation-Based K-Nearest Neighbor Classifier, ACM Transactions on Intelligent Systems and Technology, 10(3), 1-25, 2019.

[21] Jianping Gou, Yong Xu, David Zhang, Qirong Mao, Lan Du, Yongzhao Zhan, Two-Phase Linear Reconstruction Measure-Based Classification for Face Recognition, Information Sciences, 433-434, 17-36, 2018.

[22] Jianping Gou, Nannan Xie, Jinhua Liu, Baosheng Yu, Weihua Ou, Zhang Yi, Wu Chen, Hierarchical graph augmented stacked autoencoders for multi-view representation learning，Information Fusion, 102, 102068, 2024.

[23] Zhiqiang Bao, Zhenghua Huang, Jianping Gou, Lan Du, Kang Liu, Jingtao Zhou, Yunwen Chen, Teacher-Student Complementary Sample Contrastive Distillation, Neural Networks, 170, 176-189, 2024.

[24] Wenbai Chen, Bo Zhang, Jingchen Li, Xin Zhao, Yiqun Wang, Jianping Gou, Haobin Shi, U2Net-MGP: A Lightweight and Efficient Visual Perception Algorithm for Consumer Electronic Accessories, IEEE Transactions on Consumer Electronics, DOI: 10.1109/TCE.2024.3424671, 2024.

[25] Weihua Ou, Yi Yao, Jiahao Xiong, Yunshun Wu, Xianjun Deng, Jianping Gou, Jiamin Chen, Spectral adversarial attack on graph via node injection, Neural Networks, 184, 107046, 2025.

[26] Jianping Gou, Jiaye Lin, Lin Li, Weihua Ou, Baosheng Yu, Zhang Yi, Intra-class progressive and adaptive self-distillation, Neural Networks, 188, 107404, 2025.

[27] Jianping Gou, Xiaomeng Xin, Baosheng Yu, Heping Song, Weiyong Zhang, Shaohua Wan, Neighborhood relation-based knowledge distillation for image classification, Neural Networks, 188, 107429, 2025.

[28] Lin Li, Jianping Gou, Weihua Ou, Lan Du, Wenbai Chen, Contrastive Learning Based Multi-level Knowledge Distillation, CAAI Transactions on Intelligence Technology, 10:1478–1488, 2025.

[29] Jianping Gou, Kaijie Chen, Cheng Chen, Weihua Ou, Xin Luo, Zhang Yi，Layer-wise Correlation and Attention Discrepancy Distillation for Semantic Segmentation，Pattern Recognition，2026, 112438.

[30] Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Wenbai Chen, Zhang Yi, Dacheng Tao, Adaptive Decoupled Knowledge Distillation via Self-learning, IEEE Transactions on Multimedia, Accepted. 2025.

[31] Jianping Gou, Youhui Cheng, Benteng Ma, Lan Du, Xin Luo, Zhang Yi, Multi-Scale Collaborative Distillation Graph Neural Networks for Session-based Recommendation, IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2025.3637009. 2025.

[32] Heping Song, Jingyao Gong, Hongjie Jia, Xiangjun Shen, Jianping Gou, Hongying Meng, Le Wang, Representation Sampling and Hybrid Transformer Network for Image Compressed Sensing, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2025.3614371, 2025.

（注：每年招收计算机相关专业研究生4-6名，博士生1名，欢迎有浓厚科研兴趣、有理想与干劲、有责任与担当、有主动学习意识、追求高质量学术成果、提升专业技能、真勤奋踏实学的同学报考，也欢迎有志科研的本科同学加入。）