Meng Chen

73 papers A* 10A 3B 2Journal 49Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Beyond Routines: Adaptive Mobility Prediction via Sequential-Relational Fusion.
KDD (1)
Tianao Sun, Ruizhe Liu, Wenzhen Jia, Kai Zhao, Weiming Huang, Meng Chen
2026 — conf
Multi-View Urban Region Embedding via Commonality-Specificity Disentanglement.
KDD (1)
Zechen Li, Hongwei Jia, Kai Zhao, Weiming Huang, Meng Chen
2026 J jnl
Region Embedding With Adaptive Correlation Discovery for Predicting Urban Socioeconomic Indicators.
IEEE Trans. Knowl. Data Eng.
Meng Chen, Hongwei Jia, Zechen Li, Weiming Huang, Kai Zhao, Yongshun Gong, Haoran Xu, Hongjun Dai
2025 J jnl
Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach.
IEEE Trans. Knowl. Data Eng.
Xiaoyu Li, Yitian Zhang, Guodong Long, Yupeng Hu, Wenpeng Lu, Meng Chen, Chengqi Zhang, Yongshun Gong
2025 J jnl
Channel-Independent Federated Traffic Prediction.
CoRR
Mo Zhang, Xiaoyu Li, Bin Xu, Meng Chen, Yongshun Gong
2025 A* conf
Cross-City Latent Space Alignment for Consistency Region Embedding.
ICML
Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, Kai Zhao, Hongjun Dai, Weiming Huang
2025 J jnl
MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding.
ACM Trans. Intell. Syst. Technol.
Meng Chen, Zechen Li, Hongwei Jia, Xin Shao, Jun Zhao, Qiang Gao, Min Yang, Yilong Yin
2025 — conf
SILO: Semantic Integration for Location Prediction with Large Language Models.
KDD (2)
Tianao Sun, Meng Chen, Bowen Zhang, Genan Dai, Weiming Huang, Kai Zhao
2025 J jnl
ST2SNet: Spatial-Temporal Two-Layer Synchronous Network for Traffic Flow Prediction.
IEEE Trans. Comput. Soc. Syst.
Wenzhen Jia, Kai Zhao, Meng Chen, Yang Han, Xiang Li, Xuexiao Shao
2025 J jnl
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction.
IEEE Trans. Knowl. Data Eng.
Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong
2025 A* conf
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction.
IJCAI
Shilu Yuan, Xiaoyu Li, Wenqian Mu, Ji Zhong, Meng Chen, Haoliang Sun, Yongshun Gong
2024 A* conf
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.
IJCAI
Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao
2024 — conf
Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning.
DASFAA (2)
Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
2024 J jnl
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning.
CoRR
Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong
2024 A* conf
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity.
KDD
Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen
2024 J jnl
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance.
IEEE Trans. Knowl. Data Eng.
Tianao Sun, Kai Zhao, Meng Chen
2024 A* conf
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.
IJCAI
Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong
2024 J jnl
Model-agnostic counterfactual reasoning for identifying and mitigating answer bias in knowledge tracing.
Neural Networks
Chaoran Cui, Hebo Ma, Xiaolin Dong, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma
2024 J jnl
Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective.
Knowl. Based Syst.
Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen
2024 A* conf
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology.
KDD
Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin
2024 J jnl
Spatio-Temporal Enhanced Contrastive and Contextual Learning for Weather Forecasting.
IEEE Trans. Knowl. Data Eng.
Yongshun Gong, Tiantian He, Meng Chen, Bin Wang, Liqiang Nie, Yilong Yin
2024 A conf
Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction.
CIKM
Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong
2024 J jnl
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin
2024 A* conf
Urban Region Embedding via Multi-View Contrastive Prediction.
AAAI
Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen
2023 J jnl
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs.
ACM Trans. Intell. Syst. Technol.
Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie
2023 J jnl
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability.
IEEE Trans. Knowl. Data Eng.
Chao Zhang, Kai Zhao, Meng Chen
2023 J jnl
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing.
CoRR
Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma
2023 A* conf
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning.
ICDM
Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng
2023 J jnl
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision.
IEEE Trans. Knowl. Data Eng.
Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin
2023 J jnl
Latent evolution model for change point detection in time-varying networks.
Inf. Sci.
Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen
2023 A* conf
Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract).
ICDE
Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng
2023 J jnl
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts.
IEEE Trans. Knowl. Data Eng.
Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie
2023 J jnl
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.
ACM Trans. Inf. Syst.
Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie
2023 A* conf
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information.
IJCAI
Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen
2023 J jnl
Urban Region Embedding via Multi-View Contrastive Prediction.
CoRR
Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen
2022 J jnl
Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks.
IEEE Trans. Circuits Syst. Video Technol.
Chaoran Cui, Zhen Shen, Jin Huang, Meng Chen, Mingliang Xu, Meng Wang, Yilong Yin
2022 J jnl
CAVE-SC: Inferring categories for venues using check-ins.
Inf. Sci.
Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu
2022 J jnl
Embedding Hierarchical Structures for Venue Category Representation.
ACM Trans. Inf. Syst.
Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin
2022 J jnl
Enabling the interpretability of pretrained venue representations using semantic categories.
Knowl. Based Syst.
Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin
2022 J jnl
Estimating urban functional distributions with semantics preserved POI embedding.
Int. J. Geogr. Inf. Sci.
Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao
2022 J jnl
Latent Evolution Model for Change Point Detection in Time-varying Networks.
CoRR
Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen
2022 J jnl
Modeling Spatial Trajectories With Attribute Representation Learning.
IEEE Trans. Knowl. Data Eng.
Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng
2022 J jnl
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories.
ACM Trans. Intell. Syst. Technol.
Meng Chen, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, Xiaohui Yu
2022 J jnl
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data.
Inf. Sci.
Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu
2021 J jnl
CEM: A Convolutional Embedding Model for Predicting Next Locations.
IEEE Trans. Intell. Transp. Syst.
Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, Kai Zheng
2021 J jnl
Deep Hashing With Weighted Spatial Importance.
IEEE Trans. Multim.
Yang Shi, Xiushan Nie, Meng Chen, Li Lian, Yilong Yin
2021 J jnl
Missing data imputation for traffic congestion data based on joint matrix factorization.
Knowl. Based Syst.
Xiaoyi Jia, Xiaoyu Dong, Meng Chen, Xiaohui Yu
2021 J jnl
Normality Learning in Multispace for Video Anomaly Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin
2021 J jnl
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks.
ACM Trans. Intell. Syst. Technol.
Tianlun Dai, Bohan Li, Ziqiang Yu, Xiangrong Tong, Meng Chen, Gang Chen
2021 J jnl
Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction.
CoRR
Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin
2020 A conf
Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network.
CIKM
Jian Zong, Chaoran Cui, Yuling Ma, Li Yao, Meng Chen, Yilong Yin
2020 A conf
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks.
CIKM
Zhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen, Yilong Yin
2020 J jnl
Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation.
CoRR
Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu
2020 J jnl
Eating healthier: Exploring nutrition information for healthier recipe recommendation.
Inf. Process. Manag.
Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu
2020 J jnl
MPE: A Mobility Pattern Embedding Model for Predicting Next Locations.
CoRR
Meng Chen, Xiaohui Yu, Yang Liu
2020 J jnl
NLPMM: a Next Location Predictor with Markov Modeling.
CoRR
Meng Chen, Yang Liu, Xiaohui Yu
2020 J jnl
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction.
CoRR
Meng Chen, Xiaohui Yu, Yang Liu
2020 J jnl
TTDM: A Travel Time Difference Model for Next Location Prediction.
CoRR
Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen
2020 J jnl
TraLFM: Latent Factor Modeling of Traffic Trajectory Data.
CoRR
Meng Chen, Xiaohui Yu, Yang Liu
2019 J jnl
MPE: a mobility pattern embedding model for predicting next locations.
World Wide Web
Meng Chen, Xiaohui Yu, Yang Liu
2019 J jnl
Scalable Distributed kNN Processing on Clustered Data Streams.
IEEE Access
Min Yang, Yixuan Zuo, Meng Chen, Xiaohui Yu
2019 B conf
TTDM: A Travel Time Difference Model for Next Location Prediction.
MDM
Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen
2019 J jnl
TraLFM: Latent Factor Modeling of Traffic Trajectory Data.
IEEE Trans. Intell. Transp. Syst.
Meng Chen, Xiaohui Yu, Yang Liu
2018 J jnl
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction.
IEEE Trans. Intell. Transp. Syst.
Meng Chen, Xiaohui Yu, Yang Liu
2018 B conf
Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity.
IJCNN
De Guo, Meng Chen, Xiaohui Yu, Yang Liu
2017 — conf
LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs.
ICONIP (5)
Yue Wang, Meng Chen, Xiaohui Yu, Yang Liu
2017 J jnl
Weighted Co-Training for Cross-Domain Image Sentiment Classification.
J. Comput. Sci. Technol.
Meng Chen, Linlin Zhang, Xiaohui Yu, Yang Liu
2016 — conf
CoDS: Co-training with Domain Similarity for Cross-Domain Image Sentiment Classification.
APWeb (1)
Linlin Zhang, Meng Chen, Xiaohui Yu, Yang Liu
2016 J jnl
Mining Object Similarity for Predicting Next Locations.
J. Comput. Sci. Technol.
Meng Chen, Xiaohui Yu, Yang Liu
2015 — conf
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction.
PAKDD (2)
Lei Lv, Meng Chen, Yang Liu, Xiaohui Yu
2015 J jnl
Mining moving patterns for predicting next location.
Inf. Syst.
Meng Chen, Xiaohui Yu, Yang Liu
2015 — conf
Predicting Next Locations with Object Clustering and Trajectory Clustering.
PAKDD (2)
Meng Chen, Yang Liu, Xiaohui Yu
2014 — conf
NLPMM: A Next Location Predictor with Markov Modeling.
PAKDD (2)
Meng Chen, Yang Liu, Xiaohui Yu