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Meng Chen 0003
Person information
- affiliation: York University, School of Information Technology, Toronto, Canada
- affiliation (PhD 2016): Shandong University, School of Computer Science and Technology, Jinan, China
Other persons with the same name
- Meng Chen — disambiguation page
- Meng Chen 0001 (aka: Chen Meng 0001) — Xiangtan University, Hunan Key Laboratory for Computation and Simulation in Science and Engineering, School of Mathematics and Computational Science, China
- Meng Chen 0002 — North China Electric Power University, State Key Laboratory for Alternate Electrical Power System with Renewable Energy Source, Beijing, China
- Meng Chen 0004 — Institute of Aerospace System Engineering, Shanghai, China (and 1 more)
- Meng Chen 0005 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Meng Chen 0006 — JD AI, Beijing, China
- Meng Chen 0007 — City University of Hong Kong, Shenzhen Research Institute, Department of Mechanical Engineering, China
- Meng Chen 0008 — University of Ulm, Germany (and 1 more)
- Meng Chen 0009 — University of Science and Technology of China, School of Management, International Institute of Finance, School of Management, Hefei, China (and 1 more)
- Meng Chen 0010 — Nanchang University, Institute of Mathematics and Interdisciplinary Sciences, China (and 1 more)
- Meng Chen 0011 — Zhejiang University, School of Cyber Science and Technology, College of Computer Science and Technology, China
- Meng Chen 0012 — Webster University, Wien, Austria (and 2 more)
- Meng Chen 0013 — Ningbo University of Technology, School of Cyber Science and Engineering, China
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2020 – today
- 2024
- [j31]Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen:
Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective. Knowl. Based Syst. 294: 111750 (2024) - [j30]Chaoran Cui, Hebo Ma, Xiaolin Dong, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma:
Model-agnostic counterfactual reasoning for identifying and mitigating answer bias in knowledge tracing. Neural Networks 178: 106495 (2024) - [j29]Tianao Sun, Kai Zhao, Meng Chen:
Human-AI Interaction: Human Behavior Routineness Shapes AI Performance. IEEE Trans. Knowl. Data Eng. 36(12): 8476-8487 (2024) - [j28]Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 439-450 (2024) - [c18]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. AAAI 2024: 8724-8732 - [c17]Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong:
Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. CIKM 2024: 45-55 - [c16]Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong:
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. IJCAI 2024: 2090-2098 - [c15]Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao:
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. IJCAI 2024: 2533-2541 - [c14]Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin:
Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. KDD 2024: 319-328 - [c13]Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen:
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. KDD 2024: 2784-2793 - [i11]Shilu Yuan, Dongfeng Li, Wei Liu, Xinxin Zhang, Meng Chen, Junjie Zhang, Yongshun Gong:
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning. CoRR abs/2406.09710 (2024) - 2023
- [j27]Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen:
Latent evolution model for change point detection in time-varying networks. Inf. Sci. 646: 119376 (2023) - [j26]Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie:
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. ACM Trans. Intell. Syst. Technol. 14(6): 114:1-114:25 (2023) - [j25]Chao Zhang, Kai Zhao, Meng Chen:
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability. IEEE Trans. Knowl. Data Eng. 35(5): 4514-4526 (2023) - [j24]Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin:
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(8): 8008-8023 (2023) - [j23]Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie:
Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. Knowl. Data Eng. 35(9): 8893-8904 (2023) - [j22]Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie:
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41(4): 112:1-112:24 (2023) - [c12]Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng:
Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). ICDE 2023: 3813-3814 - [c11]Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng:
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. ICDM 2023: 1367-1372 - [c10]Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen:
Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. IJCAI 2023: 2441-2449 - [i10]Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma:
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing. CoRR abs/2308.07779 (2023) - [i9]Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. CoRR abs/2312.09681 (2023) - 2022
- [j21]Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao:
Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022) - [j20]Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu:
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data. Inf. Sci. 589: 34-45 (2022) - [j19]Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu:
CAVE-SC: Inferring categories for venues using check-ins. Inf. Sci. 611: 159-172 (2022) - [j18]Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin:
Enabling the interpretability of pretrained venue representations using semantic categories. Knowl. Based Syst. 235: 107623 (2022) - [j17]Chaoran Cui, Zhen Shen, Jin Huang, Meng Chen, Mingliang Xu, Meng Wang, Yilong Yin:
Adaptive Feature Aggregation in Deep Multi-Task Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2133-2144 (2022) - [j16]Meng Chen, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, Xiaohui Yu:
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 5:1-5:18 (2022) - [j15]Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng:
Modeling Spatial Trajectories With Attribute Representation Learning. IEEE Trans. Knowl. Data Eng. 34(4): 1902-1914 (2022) - [j14]Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin:
Embedding Hierarchical Structures for Venue Category Representation. ACM Trans. Inf. Syst. 40(3): 57:1-57:29 (2022) - [i8]Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen:
Latent Evolution Model for Change Point Detection in Time-varying Networks. CoRR abs/2212.08818 (2022) - 2021
- [j13]Xiaoyi Jia, Xiaoyu Dong, Meng Chen, Xiaohui Yu:
Missing data imputation for traffic congestion data based on joint matrix factorization. Knowl. Based Syst. 225: 107114 (2021) - [j12]Yu Zhang, Xiushan Nie, Rundong He, Meng Chen, Yilong Yin:
Normality Learning in Multispace for Video Anomaly Detection. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3694-3706 (2021) - [j11]Tianlun Dai, Bohan Li, Ziqiang Yu, Xiangrong Tong, Meng Chen, Gang Chen:
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks. ACM Trans. Intell. Syst. Technol. 12(6): 73:1-73:24 (2021) - [j10]Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, Kai Zheng:
CEM: A Convolutional Embedding Model for Predicting Next Locations. IEEE Trans. Intell. Transp. Syst. 22(6): 3349-3358 (2021) - [j9]Yang Shi, Xiushan Nie, Meng Chen, Li Lian, Yilong Yin:
Deep Hashing With Weighted Spatial Importance. IEEE Trans. Multim. 23: 3778-3792 (2021) - [i7]Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction. CoRR abs/2107.10424 (2021) - 2020
- [j8]Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu:
Eating healthier: Exploring nutrition information for healthier recipe recommendation. Inf. Process. Manag. 57(6): 102051 (2020) - [c9]Zhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen, Yilong Yin:
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks. CIKM 2020: 2213-2216 - [c8]Jian Zong, Chaoran Cui, Yuling Ma, Li Yao, Meng Chen, Yilong Yin:
Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network. CIKM 2020: 2353-2356 - [i6]Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu:
Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation. CoRR abs/2003.07027 (2020) - [i5]Meng Chen, Xiaohui Yu, Yang Liu:
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction. CoRR abs/2003.07033 (2020) - [i4]Meng Chen, Yang Liu, Xiaohui Yu:
NLPMM: a Next Location Predictor with Markov Modeling. CoRR abs/2003.07037 (2020) - [i3]Meng Chen, Xiaohui Yu, Yang Liu:
TraLFM: Latent Factor Modeling of Traffic Trajectory Data. CoRR abs/2003.07780 (2020) - [i2]Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen:
TTDM: A Travel Time Difference Model for Next Location Prediction. CoRR abs/2003.07781 (2020) - [i1]Meng Chen, Xiaohui Yu, Yang Liu:
MPE: A Mobility Pattern Embedding Model for Predicting Next Locations. CoRR abs/2003.07782 (2020)
2010 – 2019
- 2019
- [j7]Min Yang, Yixuan Zuo, Meng Chen, Xiaohui Yu:
Scalable Distributed kNN Processing on Clustered Data Streams. IEEE Access 7: 103198-103208 (2019) - [j6]Meng Chen, Xiaohui Yu, Yang Liu:
TraLFM: Latent Factor Modeling of Traffic Trajectory Data. IEEE Trans. Intell. Transp. Syst. 20(12): 4624-4634 (2019) - [j5]Meng Chen, Xiaohui Yu, Yang Liu:
MPE: a mobility pattern embedding model for predicting next locations. World Wide Web 22(6): 2901-2920 (2019) - [c7]Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen:
TTDM: A Travel Time Difference Model for Next Location Prediction. MDM 2019: 216-225 - 2018
- [j4]Meng Chen, Xiaohui Yu, Yang Liu:
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction. IEEE Trans. Intell. Transp. Syst. 19(11): 3550-3559 (2018) - [c6]De Guo, Meng Chen, Xiaohui Yu, Yang Liu:
Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity. IJCNN 2018: 1-7 - 2017
- [j3]Meng Chen, Linlin Zhang, Xiaohui Yu, Yang Liu:
Weighted Co-Training for Cross-Domain Image Sentiment Classification. J. Comput. Sci. Technol. 32(4): 714-725 (2017) - [c5]Yue Wang, Meng Chen, Xiaohui Yu, Yang Liu:
LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs. ICONIP (5) 2017: 710-720 - 2016
- [j2]Meng Chen, Xiaohui Yu, Yang Liu:
Mining Object Similarity for Predicting Next Locations. J. Comput. Sci. Technol. 31(4): 649-660 (2016) - [c4]Linlin Zhang, Meng Chen, Xiaohui Yu, Yang Liu:
CoDS: Co-training with Domain Similarity for Cross-Domain Image Sentiment Classification. APWeb (1) 2016: 480-492 - 2015
- [j1]Meng Chen, Xiaohui Yu, Yang Liu:
Mining moving patterns for predicting next location. Inf. Syst. 54: 156-168 (2015) - [c3]Meng Chen, Yang Liu, Xiaohui Yu:
Predicting Next Locations with Object Clustering and Trajectory Clustering. PAKDD (2) 2015: 344-356 - [c2]Lei Lv, Meng Chen, Yang Liu, Xiaohui Yu:
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction. PAKDD (2) 2015: 357-369 - 2014
- [c1]Meng Chen, Yang Liu, Xiaohui Yu:
NLPMM: A Next Location Predictor with Markov Modeling. PAKDD (2) 2014: 186-197
Coauthor Index
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last updated on 2024-12-19 22:12 CET by the dblp team
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