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Profiles:
Profiles:
I am an associate professor in the School of Software at Shandong University. My research interests are in the spatio-temporal data mining and urban computing. I obtained my Ph.D. from Shandong University, China, in 2016, under the supervision of Prof. Xiaohui Yu.
Email: mchen [at] sdu.edu.cn
Academic Position:
Academic Position:
2020.09-now: Associate Professor in the School of Software, Shandong University, Jinan, China
2018.09-2020.09: Assistant Professor in the School of Software, Shandong University, Jinan, China
2016.09 - 2018.09: Post-Doc in School of Information Technology, York University, Toronto, Canada.
Education:
Education:
2011.09 - 2016.06: Ph.D in School of Computer Science and Technology, Shandong University, China.
2007.09 - 2011.06: BS.c in School of Software, Shandong University, China.
Publications:
Publications:
Journal papers
Sun Tianao, Zhao Kai, Chen Meng*. Human-AI Interaction: Human Behavior Routineness Shapes AI Performance. IEEE Trans. on Knowledge and Data Engineering, 2024.
Xu Ronghui, 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, 2023.
Bing Junxiang, 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, 2022.
Zhang Chao, Zhao Kai, Chen Meng*. Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability. IEEE Trans. on Knowledge and Data Engineering, 2022.
Chen Meng, Zhu Lei, Xu Ronghui, Liu Yang, Yu Xiaohui, Yin Yilong. Embedding Hierarchical Structures for Venue Category Representation. ACM Trans. on Information Systems, 2021.
Chen Meng, Zhao Yan, Liu Yang, Yu Xiaohui, Zheng Kai. Modeling Spatial Trajectories with Attribute Representation Learning. IEEE Trans. on Knowledge and Data Engineering, 2020.
Conference papers
Chen Meng, Li Zechen, Huang Weiming, Gong Yongshun, Yin Yilong. Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD, 2024.
Sun Tianao, 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, 2024.
Li Zechen, Huang Weiming, Zhao Kai, Yang Min, Gong Yongshun, Chen Meng*. Urban Region Embedding via Multi-View Contrastive Prediction. AAAI, 2024.
Jia Hongwei, Chen Meng*, Huang Weiming, Zhao Kai, Gong Yongshun. Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI, 2024.
Zhang Dabin, 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, 2024.
Zhang Dabin, Xu Ronghui, Huang Weiming, Zhao Kai, Chen Meng*. Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. IJCAI, 2023.
Scientific Community Activities:
Scientific Community Activities:
Reviewer for: TKDE, TOIS, KDD, SIGIR, AAAI, IJCAI, WSDM, CIKM, PKDD.
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