Associate Professor
Supervisor of Master's Candidates
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Biography
陈勐，副教授，硕士生导师，入选山东大学青年学者未来计划，担任山东大学-可达鸭编程算法与人工智能联合实验室主任。2016年博士毕业于山东大学计算机科学与技术学院，2016年-2018年于加拿大约克大学信息技术学院做博士后研究。承担《机器学习》和《深度学习及应用》的教学工作。研究方向包括机器学习、数据挖掘、城市计算等。近些年发表学术论文40余篇，其中以第一/通讯作者发表CCF A类（包括KDD、ICDE、AAAI、IJCAI、TOIS、TKDE）和IEEE/ACM Trans.学术文章17篇，谷歌引用1000余次。先后主持国家自然科学基金、山东省自然科学基金以及企业重大横向项目等。担任MDM 2021 PhD Forum Chair，TOIS、TKDE、TITS等国际期刊审稿人以及SIGKDD、SIGIR、AAAI、IJCAI、CIKM、WSDM等国际会议PC Members。指导的研究生孙天骜同学（2022年）、张大滨同学（2023年）荣获国家奖学金，本科生张超同学以第一作者身份在CCF A类期刊TKDE发表论文。
[Google Scholar]: https://scholar.google.com.hk/citations?hl=zh-CN&user=xE4gacoAAAAJ
新闻
2024年8月，实验室成员张大滨和贾宏伟赴韩国济州岛参加IJCAI 2024会议并做会议报告。
2024年7月，实验室成员孙天骜、张大滨赴泰安参加CCDM2024会议。
2024年5月，两篇论文Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology和Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity被数据挖掘顶级会议KDD（CCF A类）录用。
2024年4月，实验室成员孙天骜、贾宏伟、张大滨、付珂、李泽辰赴南京参加第五届中国空间智能学术会议。陈勐老师应邀在时空数据管理与分析论坛做报告。
2024年4月，两篇论文Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences和Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names被人工智能顶级会议IJCAI（CCF A类）录用。
2024年4月，一篇论文Modeling Question Difficulty for Unbiased Cognitive Diagnosis: A Causal Perspective被期刊Knowledge-Based Systems（中科院1区）录用。
2023年12月，一篇论文Urban Region Embedding via Multi-View Contrastive Prediction被人工智能顶级会议AAAI（CCF A类）录用。
2023年10月，恭喜实验室成员张大滨荣获山东大学2023年度研究生国家奖学金。
2023年9月，一篇论文A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs在计算机科学顶级期刊ACM Trans. on Intelligent Systems and Technology发表。
2023年8月，实验室成员张大滨赴澳门参加IJCAI 2023会议并做会议报告。
研究内容
城市系统智能
-时空自监督表征学习
-城市时空语义理解
-城市时空预测
招生信息
招生类别 |
招生专业（2025年招生名额） |
学术型硕士 |
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专业型硕士 |
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基本要求 |
1）有上进心和激情；2）至少熟悉一门编程语言；3）数学和英语基础较好 |
硕士生招生说明：学院一般在招生年度的上一年度秋季学期的十月初公布每位导师各个类别的招生名额，有意向的同学在确认被录取后，请第一时间联系我是否还有对应类别的名额。 |
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代表性论文
2024：
[1] Li Zechen (研究生), Huang Weiming, Zhao Kai, Yang Min, Gong Yongshun, Chen Meng*. Urban Region Embedding via Multi-View Contrastive Prediction. AAAI. (CCF A类)
[2] Jia Hongwei (研究生), Chen Meng*, Huang Weiming, Zhao Kai, Gong Yongshun. Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI. (CCF A类)
[3] Zhang Dabin (研究生), Chen Meng*, Huang Weiming, Gong Yongshun, Zhao Kai. Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI. (CCF A类)
[4] Chen Meng, Li Zechen (研究生), Huang Weiming, Gong Yongshun, Yin Yilong. Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD. (CCF A类)
[5] Sun Tianao (研究生), Fu Ke, Huang Weiming, Zhao Kai, Gong Yongshun, Chen Meng*. Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD. (CCF A类)
[6] Chen Xin (研究生), Feng Shaofei, Yang Min, Zhao Kai, Xu Ronghui, Cui Chaoran, Chen Meng*. Modeling Question Difficulty for Unbiased Cognitive Diagnosis: A Causal Perspective. Knowledge-Based Systems.
2023：
[1] Xu Ronghui (研究生), Chen Meng*, Gong Yongshun, Liu Yang, Yu Xiaohui, Nie Liqiang. TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. on Information Systems. (CCF A类)
[2] Zhang Dabin (研究生), Xu Ronghui, Huang Weiming, Zhao Kai, Chen Meng*. Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. IJCAI. (CCF A类)
[3] Chen Meng, Zhao Yan, Liu Yang, Yu Xiaohui, Zheng Kai. Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). IEEE 39th International Conference on Data Engineering (ICDE), 3813-3814. (CCF A类)
[4] Xu Ronghui (研究生), Huang Weiming, Zhao Jun, Chen Meng*, Nie Liqiang. A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. ACM Trans. on Intelligent Systems and Technology.
[5] Gong Yongshun, Dong Xue, Zhang Jian, Chen Meng*. Latent Evolution Model for Change Point Detection in Time-varying Networks. Information Sciences.
[6] Yu Fudan, Yan Huan, Chen Rui, Zhang Guozhen, Liu Yu, Chen Meng, Li Yong. City-scale Vehicle Trajectory Data from Traffic Camera Videos. Scientific data 10 (1), 711. (Nature子刊)
2022：
[1] Bing Junxiang (研究生), Chen Meng*, Yang Min, Huang Weiming, Gong Yongshun, Nie Liqiang. Pre-trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. on Knowledge and Data Engineering. (CCF A类)
[2] Zhang Chao (本科生), Zhao Kai, Chen Meng*. Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability. IEEE Trans. on Knowledge and Data Engineering. (CCF A类)
[3] Qu Hao (研究生), Gong Yongshun, Chen Meng, Zhang Junbo, Zheng Yu, Yin Yilong. Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. on Knowledge and Data Engineering. (CCF A类)
[4] Sun Tianao (研究生), Zhao Kai, Zhang Chao, Chen Meng*, Yu Xiaohui. PR-LTTE: Link Travel Time Estimation Based on Path Recovery from Large-scale Incomplete Trip Data. Information Sciences.
[5] Xu Haoran (研究生), Xu Ronghui, Chen Meng*, Liu Yang, Yu Xiaohui. CAVE-SC: Inferring Categories for Venues Using Check-ins. Information Sciences.
[6] An Ning (研究生), Chen Meng*, Lian Li, Li Peng, Zhang Kai, Yin Yilong. Enabling the Interpretability of Pretrained Venue Representations Using Semantic Categories. Knowledge-Based Systems.
2021：
[1] Chen Meng, Zhu Lei, Xu Ronghui, Liu Yang, Yu Xiaohui, Yin Yilong. Embedding Hierarchical Structures for Venue Category Representation. ACM Trans. on Information Systems. (CCF A类)
[2] Jia Xiaoyi (研究生), Dong Xiaoyu, Chen Meng*, Yu Xiaohui. Missing Data Imputation for Traffic Congestion Data Based on Joint Matrix Factorization. Knowledge-Based Systems.
[3] Chen Meng, Liu Qingjie, Huang Weiming, Zhang Teng, Zuo Yixuan, Xiaohui Yu. Origin-Aware Location Prediction Based on Historical Vehicle Trajectories. ACM Trans. on Intelligent Systems and Technology.
2020：
[1] Chen Meng, Zhao Yan, Liu Yang, Yu Xiaohui, Zheng Kai. Modeling Spatial Trajectories with Attribute Representation Learning. IEEE Trans. on Knowledge and Data Engineering. (CCF A类)
[2] Chen Meng, Zuo Yixuan, Jia Xiaoyi, Liu Yang, Yu Xiaohui, Zheng Kai. CEM: A Convolutional Embedding Model for Predicting Next Locations. IEEE Trans. on Intelligent Transportation Systems.
[3] Chen Meng, Jia Xiaoyi, Gorbonos Elizabeth, Hoang Chinh T, Yu Xiaohui, Liu Yang. Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation. Information Processing & Management.
指导学生
博士生在读：
2023级：孙天骜（硕博连读，已发表IS 2022、KDD 2024）
硕士生在读：
2024级：付天羽（专硕）、王森（专硕）、钟至桢（专硕）
2023级：李泽辰（学硕，已发表AAAI 2024、KDD 2024）
2022级：贾宏伟（学硕，已发表IJCAI 2024）、张大滨（专硕，已发表IJCAI 2023、IJCAI 2024）、付珂（专硕）
毕业：
2021级：陈欣（学硕，华夏银行北京）、张勇强（专硕，中国建设银行天津）、王欣煜（专硕，中国农业银行山东）
2020级：徐榕荟（学硕，华东师范大学博士）、董晓宇（专硕，山东移动）、邴俊翔（专硕，山东电信）、邵鑫（强军计划）、苏希慈（非全日制）
2019级：安宁（学硕，吉林长光卫星）
