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2020 – today
- 2024
[j3]Ling Chen
, Hanyu Long, Jiahui Xu, Binqing Wu, Hang Zhou, Xing Tang, Liangying Peng:
Deep Citywide Multisource Data Fusion-Based Air Quality Estimation. IEEE Trans. Cybern. 54(1): 111-122 (2024)- [j2]Ling Chen, Jiahui Xu, Binqing Wu, Jianlong Huang:
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. ACM Trans. Knowl. Discov. Data 18(3): 55:1-55:20 (2024) - [c2]Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen:
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. IJCAI 2024: 2433-2441 - 2023
- [j1]Ling Chen, Donghui Chen, Zongjiang Shang, Binqing Wu, Cen Zheng, Bo Wen, Wei Zhang:
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 35(10): 10748-10761 (2023) - [c1]Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim:
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. CIKM 2023: 987-996 - [i6]Binqing Wu, Ling Chen:
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting. CoRR abs/2307.00518 (2023) - [i5]Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen:
WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction. CoRR abs/2310.05517 (2023) - [i4]Pengwei Liu, Wenwei Wang, Bingqing Peng, Binqing Wu, Liang Sun:
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling. CoRR abs/2312.12476 (2023) - 2022
- [i3]Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim:
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. CoRR abs/2208.03063 (2022) - 2021
- [i2]Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang:
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. CoRR abs/2108.12238 (2021) - [i1]Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang:
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting. CoRR abs/2111.04942 (2021)
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