智能信息处理与分析团队负责人—程志勇

发布者:hhxx发布时间:2023-12-29浏览次数:118

  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-index36SCI他引1900余次。曾获ACM SIGIR 2019ACM 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 2023/01-2026/1254万元,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 2020/01-2022/1224万元,主持,结题。

3.   面向信息推荐系统中的公平性问题研究,BWIN必赢官网(山东省科学院)科教产融合试点工程基础研究类项目,No. 2022PY0092022/01-2023/1230万元,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,2020GXRC0402020/09-2023/09100万元,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,2020KJN0122020/032023/0220万元,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,2018GXRC0142018/10-2021/09190万元,4/6,结题。

7.   新一代人工智能重大基础理论研究,BWIN必赢官网(山东省科学院)科教产融合创新试点工程项目,2020/1-2021/12288万元,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 2021/01-2023/1230万元,30万元,5/8,在研。

 

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,accepted2023. [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;