程志勇，山东省人工智能研究院研究员，硕士生导师，信息智能团队负责人。。主持国家自然科学基金2项，发表CCF A类或ACM/IEEE汇刊论文70多篇（第一作者或通讯作者25篇），谷歌学术引用4100余次，H-index为36，SCI他引1900余次。曾获ACM SIGIR 2019、ACM Multimedia 2019最佳论文提名奖，国家吴文俊人工智能优秀青年奖。受邀担任IEEE Transactions on Computational Social Systems 等多个国际期刊的编委，多次担任相关领域顶级国际会议（如ACM MM, SIGIR）领域主席或高级程序委员会委员。担任国家自然科学基金、奥地利科学基金、香港地区GRC项目评审专家。担任中国计算机学会多媒体专委会执行委员、中国中文信息学会（CIPSC）信息检索专委会委员、山东省人工智能学会理事及学术委员会委员等。
研究方向：智能媒体计算、信息检索和个性化推荐
承担科研项目情况
1. 面向推荐系统公平性问题中的多边曝光偏差研究，国家自然科学基金面上项目， 62272254， 2023/01-2026/12，54万元，主持，在研。
2. 基于异构多媒体信息的用户多样性喜好建模研究，国家自然科学基金青年项目，61902223， 2020/01-2022/12，24万元,主持，结题。
3. 面向信息推荐系统中的公平性问题研究，齐鲁工业大学（山东省科学院）科教产融合试点工程基础研究类项目，No. 2022PY009，2022/01-2023/12，30万元，主持，在研。
4. 社交网络虚假媒体智能分析与理解，济南市“高校20条”资助项目，2020GXRC040，2020/09-2023/09，100万元，2/5，结题。
5. 社会公共安全智能视频分析及其应用研究，山东省高等学校青创科技支持计划，2020KJN012，2020/03–2023/02，20万元，2/5，结题 。
6. 短视频智能分析与理解, 济南市“高校20条”资助项目，2018GXRC014，2018/10-2021/09，190万元，4/6，结题。
7. 新一代人工智能重大基础理论研究，齐鲁工业大学（山东省科学院）科教产融合创新试点工程项目，2020/1-2021/12，288万元，3/27, 结题。
8. 低采样率下非负张量填充理论与算法研究，山东省自然科学基金重点项目，ZR2020KA008， 2021/01-2023/12，30万元，30万元，5/8，在研。
近5年代表性论文(“*”代表通讯作者)：
1. Zhiyong Cheng, Sai Han（指导学生）, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng. Multi-Behavior Recommendation with Cascading Graph Convolution Networks. The Web Conference 2023 (WWW’23). (Full Paper, 接收率:19.2%) [CCF A]
2. Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie. Feature-level Attentive ICF for Recommendation. ACM Transactions on Information Systems (TOIS), 40(4): 75:1-75:24, 2022. [中科院二区, CCF A]
3. Zhiyong Cheng, Xiaojun Chang, Lei Zhu, Rose C. Kanjirathinkal, Mohan Kankanhalli. MMALFM: Explainable Recommendation by Leveraging Reviews and Images. ACM Transactions on Information Systems (TOIS), 37 (2), Article 16, 2019. [中科院二区, CCF A]
4. Zhiyong Cheng, Ying Ding, Lei Zhu, Mohan Kankanhalli. Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews. The Web Conference (WWW’18), Lyon, 2018. (Full Paper, 接收率: 14.8%) [CCF A]
5. Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan Kankanhalli. A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction. International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, 2018. (Full Paper, 接收率: 20.5%) [CCF A]
6. Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan Kankanhalli. Disentangled Multimodal Representation Learning for Recommendation. IEEE Transactions on Multimedia (TMM), 25: 7149-7159, 2023. [中科院一区, CCF B]
7. 严明时（指导学生），程志勇，孙静，王法胜，孙福明. 基于两阶段学习的多行为推荐. 软件学报，accepted，2023. [EI]
8. Mingshi Yan（指导学生）, Zhiyong Cheng*, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li. Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. ACM Transactions on Information Systems (TOIS), 42(1), 10:1-29, 2023. [中科院二区, CCF A]
9. Ansong Li（指导学生）, Zhiyong Cheng*, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng. Disentangled Graph Neural Networks for Session-based Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(8): 7870-7882, 2023. [中科院一区, CCF A]
10. Fan Liu（指导学生），Zhiyong Cheng*, Lei Zhu, Chenghao Liu, Liqiang Nie*. An Attribute-aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(9): 4077-4088, 2022. [中科院一区, CCF A]
11. Yangyang Guo（指导学生），Zhiyong Cheng*, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang. Enhancing Factorization Machines with Generalized Metric Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(8): 3740-3753, 2022 [中科院一区, CCF A]
12. Haoyu Tang（指导学生）, Jihua Zhu, Meng Liu, Zan Gao, Zhiyong Cheng*. Frame-wise Cross-modal Matching for Video Moment Retrieval. IEEE Transactions on Multimedia (TMM), 24: 1338-1349, 2022. [中科院一区, CCF B]
13. Fan Liu（指导学生）, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie and Mohan Kankanhalli. Privacy-Preserving Synthetic Data Generation for Recommendation. ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'22). Online, 2022. (Full Paper, 接收率: 20%) [CCF A]
14. Yangyang Guo（指导学生）, Liqiang Nie*, Zhiyong Cheng*, Feng Ji, Ji Zhang, Alberto Del Bimbo. AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. International Joint Conference on Artificial Intelligence (IJCAI’21), Montreal-themed Virtual Reality, 2021. (Full Paper, 接收率: 13.9%). [CCF A]
15. Xinxiao Zhao（指导学生）, Zhiyong Cheng*, Lei Zhu, Jiecai Zheng, Xueqing Li. UGRec: Modeling Directed and Undirected Relations for Recommendation. ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'21). Online, 2021. (Full Paper, 接收率: 21%). [CCF A]
16. Xinyu Guan（指导学生）, Zhiyong Cheng*,Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua. Attentive Aspect Modeling for Review-Aware Recommendation. ACM Transactions on Information Systems (TOIS), 37 (3), Article 28, 2019. [中科院二区, CCF A]
17. Yangyang Guo（指导学生）, Zhiyong Cheng*, Liqiang Nie*, Yinglong Wang, Jun Ma, Mohan Kankanhalli. Attentive Long Short-Term Preference Modeling for Personalized Product Search. ACM Transactions on Information Systems (TOIS), 37 (2), Article 19, 2019. [中科院二区, CCF A]
18. Yangyang Guo（指导学生）, Liqiang Nie*, Zhiyong Cheng, Qi Tian, Min Zhang. Loss Re-scaling VQA: Revisiting the Language Prior Problem from a Class-imbalance View. IEEE Transactions on Image Processing (TIP) ,31: 227-238, 2022. [中科院一区, CCF A]
19. Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Unsupervised Online Video Object Segmentation with Motion Property Understanding. IEEE Transactions on Image Processing (TIP), 29:237-249, 2020. [中科院一区, CCF A]
20. Fan Liu（指导学生）, Zhiyong Cheng*, Lei Zhu, Zan Gao, Liqiang Nie*. Interest-aware Message-Passing GCN for Recommendation. The Web Conference 2021 (WWW'21), Ljubljana, Slovenia. (Full Paper, 接收率: 20.6%) [CCF A]
21. Yangyang Guo（指导学生）, Zhiyong Cheng*, Liqiang Nie*, Yibing Liu, Yinglong Wang and Mohan Kankanhalli. Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'19), Pairs, France, 2019. (Full Paper, 接收率: 20%) [CCF A]
22. Fan Liu（指导学生）, Zhiyong Cheng*, Changchang, Yinglong Wang, Liqiang Nie*, Mohan Kankanhalli. User Diverse Preference Modeling via Multimodal Attentive Metric Learning. ACM International Conference on Multimedia (MM'19), Nice, France, 2019. (Full Paper, 接收率: 26.5%) [CCF A]
23. Yinwei Wei（指导学生）, Zhiyong Cheng*, Xuzheng Yu, Zhou Zhao, Lei Zhu and Liqiang Nie*. Personalized Hashtag Recommendation for Micro-videos. ACM International Conference on Multimedia (MM'19), Nice, France, 2019. (Full Paper, 接收率: 26.5%) [CCF A]
24. Tao Zhuo, Zhiyong Cheng*, Peng Zhang, Yongkang Wong, Mohan Kankanhalli. Explainable Video Action Reasoning via Prior Knowledge and State Transitions. ACM International Conference on Multimedia (MM'19), Nice, France, 2019. (Full Paper, 接收率: 26.5%) [CCF A]
25. Yangyang Guo（指导学生）, Zhiyong Cheng*, Liqiang Nie*, Xin-Shun Xu, Mohan Kankanhalli. Multi-modal preference modeling for product search. ACM International Conference on Multimedia (MM'18), Seoul, Korea, 2018. (Full Paper, 接收率: 27.5%) [CCF A]
26. Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang. Online Multi-modal Hashing with Dynamic Query-adaption. ACM SIGIR Conference on Research & Development on Information Retrieval (ACM SIGIR'19), Pairs, France, 2019. (Full Paper, 接收率: 20%) [CCF A, 最佳论文提名奖（唯一）]
27. Xu Lu, Lei Zhu,Zhiyong Cheng, Jingjing Li, Xiushan Nie, Huaxiang Zhang.Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval. ACM International Conference on Multimedia (MM'19), Nice, France, 2019. (Full Paper, 接收率: 26.5%) [CCF A, 最佳论文提名奖]
代表性授权发明专利
1. 程志勇，刘帆，聂礼强，孙畅畅，宋雪萌，舒明雷：基于多模态注意力的多样性偏好信息推送方法、系统、介质及设备。国家发明专利，授权，2021.5.25，国家知识产权局，专利号：ZL201910424586.7
2. 程志勇，刘帆，聂礼强，高赞，舒明雷：基于属性感知注意图卷积神经网络的个性化推荐方法。国家发明专利，授权，2022.5.3，国家知识产权局，专利号：ZL202010498841.5
3. 程志勇，唐昊煜，祝继华，高赞，舒明雷。逐帧跨模态相似度关联实施文本查询定位视频片段方法。国家发明专利，授权，2022.9.30，国家知识产权局，专利号：ZL202010707541.3
4. 程志勇，孙超，高赞：基于双流边界感知神经网络的图像篡改区域定位方法。国家发明专利，授权，2022.8.2，国家知识产权局，专利号：ZL202110085137.1
5. 董建华，程志勇，刘帆，卓涛，李晓丽：基于解耦多行为表征学习的个性化推荐方法。家发明专利，授权，2023.10.17，国家知识产权局，专利号：ZL202310926715.9
6. 赵帅，程志勇，刘帆，张宇，卓涛，李晓丽：基于引导式图结构增强的对比学习你方法。国家发明专利，授权，2023.9.29，国家知识产权局，专利号：ZL202310890503.X
7. 张天蔚，程志勇，舒明雷，董祥军。基于文本处理的方面级可解释深度网络评分预测推荐方法。国家发明专利，授权，2023.2.7，国家知识产权局，专利号：202011038985.9
8. 郭洋洋,程志勇,聂礼强,王英龙,马军：基于深度学习注意力机制的个性化商品检索方法集装置。国家发明专利，授权，2020.3.17，国家知识产权局，专利号：ZL201810645528.2.
9. 郭洋洋，程志勇，聂礼强，许信顺。基于翻译的多模态建模方法及其在商品检索中的应用。国家发明专利，授权，2020.11.17，国家知识产权局，专利号：ZL201810636653.7;
