Meng Chen

According to our database, Meng Chen authored at least 50 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction.

Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Model-agnostic counterfactual reasoning for identifying and mitigating answer bias in knowledge tracing.

Chaoran Cui, Hebo Ma, Xiaolin Dong, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma

Neural Networks, 2024

Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective.

Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen

Knowl. Based Syst., 2024

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning.

Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong

CoRR, 2024

Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity.

Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology.

Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.

Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.

Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction.

Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Urban Region Embedding via Multi-View Contrastive Prediction.

Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs.

Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie

ACM Trans. Intell. Syst. Technol., December, 2023

TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.

Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie

ACM Trans. Inf. Syst., October, 2023

Latent evolution model for change point detection in time-varying networks.

Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen

Inf. Sci., October, 2023

Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts.

Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie

IEEE Trans. Knowl. Data Eng., September, 2023

Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision.

Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin

IEEE Trans. Knowl. Data Eng., August, 2023

Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability.

Chao Zhang, Kai Zhao, Meng Chen

IEEE Trans. Knowl. Data Eng., May, 2023

Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing.

Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma

CoRR, 2023

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information.

Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.

Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng

Proceedings of the IEEE International Conference on Data Mining, 2023

Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract).

Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Embedding Hierarchical Structures for Venue Category Representation.

Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin

ACM Trans. Inf. Syst., 2022

Modeling Spatial Trajectories With Attribute Representation Learning.

Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng

IEEE Trans. Knowl. Data Eng., 2022

Origin-Aware Location Prediction Based on Historical Vehicle Trajectories.

Meng Chen, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, Xiaohui Yu

ACM Trans. Intell. Syst. Technol., 2022

Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks.

Chaoran Cui, Zhen Shen, Jin Huang, Meng Chen, Mingliang Xu, Meng Wang, Yilong Yin

IEEE Trans. Circuits Syst. Video Technol., 2022

Enabling the interpretability of pretrained venue representations using semantic categories.

Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin

Knowl. Based Syst., 2022

CAVE-SC: Inferring categories for venues using check-ins.

Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu

Inf. Sci., 2022

PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data.

Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu

Inf. Sci., 2022

Estimating urban functional distributions with semantics preserved POI embedding.

Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao

Int. J. Geogr. Inf. Sci., 2022

2021

Deep Hashing With Weighted Spatial Importance.

Yang Shi, Xiushan Nie, Meng Chen, Li Lian, Yilong Yin

IEEE Trans. Multim., 2021

CEM: A Convolutional Embedding Model for Predicting Next Locations.

Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, Kai Zheng

IEEE Trans. Intell. Transp. Syst., 2021

PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks.

Tianlun Dai, Bohan Li, Ziqiang Yu, Xiangrong Tong, Meng Chen, Gang Chen

ACM Trans. Intell. Syst. Technol., 2021

Normality Learning in Multispace for Video Anomaly Detection.

Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin

IEEE Trans. Circuits Syst. Video Technol., 2021

Missing data imputation for traffic congestion data based on joint matrix factorization.

Xiaoyi Jia, Xiaoyu Dong, Meng Chen, Xiaohui Yu

Knowl. Based Syst., 2021

2020

Eating healthier: Exploring nutrition information for healthier recipe recommendation.

Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu

Inf. Process. Manag., 2020

Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network.

Jian Zong, Chaoran Cui, Yuling Ma, Li Yao, Meng Chen, Yilong Yin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks.

Zhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen, Yilong Yin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

MPE: a mobility pattern embedding model for predicting next locations.

Meng Chen, Xiaohui Yu, Yang Liu

World Wide Web, 2019

TraLFM: Latent Factor Modeling of Traffic Trajectory Data.

Meng Chen, Xiaohui Yu, Yang Liu

IEEE Trans. Intell. Transp. Syst., 2019

Scalable Distributed kNN Processing on Clustered Data Streams.

Min Yang, Yixuan Zuo, Meng Chen, Xiaohui Yu

IEEE Access, 2019

TTDM: A Travel Time Difference Model for Next Location Prediction.

Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

2018

PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction.

Meng Chen, Xiaohui Yu, Yang Liu

IEEE Trans. Intell. Transp. Syst., 2018

Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity.

De Guo, Meng Chen, Xiaohui Yu, Yang Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Weighted Co-Training for Cross-Domain Image Sentiment Classification.

Meng Chen, Linlin Zhang, Xiaohui Yu, Yang Liu

J. Comput. Sci. Technol., 2017

LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs.

Yue Wang, Meng Chen, Xiaohui Yu, Yang Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Mining Object Similarity for Predicting Next Locations.

Meng Chen, Xiaohui Yu, Yang Liu

J. Comput. Sci. Technol., 2016

CoDS: Co-training with Domain Similarity for Cross-Domain Image Sentiment Classification.

Linlin Zhang, Meng Chen, Xiaohui Yu, Yang Liu

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

Mining moving patterns for predicting next location.

Meng Chen, Xiaohui Yu, Yang Liu

Inf. Syst., 2015

A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction.

Lei Lv, Meng Chen, Yang Liu, Xiaohui Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Predicting Next Locations with Object Clustering and Trajectory Clustering.

Meng Chen, Yang Liu, Xiaohui Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

NLPMM: A Next Location Predictor with Markov Modeling.

Meng Chen, Yang Liu, Xiaohui Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014