Jingcheng Wang - 王竟成

About

My research focuses on two areas: intelligent transportation systems, including spatiotemporal forecasting, autonomous driving, and world models; and AI for Science (AI4S), including trustworthy scientific discovery and multimodal large language models for astronomy and space.

Education / Work

• 2014–2017 Bachelor's, Beijing University of Technology
• 2017–2019 Master's, Beijing University of Technology. Advisor: Yong Zhang, Professor
• 2019–2024 Ph.D., Beijing University of Technology. Advisor: Baocai Yin, Professor
• 2024–2026 Postdoctoral Researcher, Institute of Automation, Chinese Academy of Sciences. Advisor: Yisheng Lv, Research Professor
• 2026–Present Assistant Researcher, Institute of Automation, Chinese Academy of Sciences

Academic Affiliations

• The 23rd World Congress of the International Federation of Automatic Control (IFAC WC 2026), Co-Chair
• The China Automation Congress 2026 (CAC 2026), Co-Chair

Publications

• AKTD: FDR Control for LLM Training Data Detection under Approximate Exchangeability Jingcheng Wang, Yingjie Wang, Yisheng Lv* The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026).
• Learn Few, Paint Many: Combinatorial Generalization of Robotic Painting Skills via Computational Experiments Ziyan Tan, Chao Guo, Jingcheng Wang, Yisheng Lv*, Wenda Xie 2026 IEEE 22nd International Conference on Automation Science and Engineering (CASE 2026).
• Efficient Directed Hypergraph Network for Unsupervised Traffic Anomaly Detection Sheng Hao, Xiangmo Zhao, Jingcheng Wang*, Xiaoyan Gong IEEE Intelligent Transportation Systems Magazine, 18(2):86–98, 2026.
• Spatiotemporal Graph Mixture of Experts for Highway Traffic Flow Prediction Sheng Hao, Xiangmo Zhao, Jingcheng Wang*, Xingyuan Dai, Xiaoyan Gong IEEE Intelligent Transportation Systems Magazine, 18(1):53–64, 2026.
• Recognition and Early Warning of Ride-Hailing Vehicle Aggregation Based on Multi-Source Spatiotemporal Data Fusion Yue Wu, Yuan Zhong, Haitao Yu, Jiong Wang, Huaimin Yan, Jingcheng Wang, Xingyuan Dai, Hongxia Zhao, Yisheng Lv 2025 Australian & New Zealand Control Conference (ANZCC 2025), IEEE, pp. 29–34.
• Toward Nonuniformly Distributed Weather Forecasting: Adaptive Filtered Hypergraph Convolution Network Jingcheng Wang, Yong Zhang, Fei Wang, Guodong Jing, Yongli Hu, Baocai Yin IEEE Transactions on Geoscience and Remote Sensing, 63:1–14, 2025.
• Large-Scale Traffic Prediction With Hierarchical Hypergraph Message Passing Networks Jingcheng Wang, Yong Zhang, Yongli Hu, Baocai Yin IEEE Transactions on Computational Social Systems, 11(6):7103–7113, 2024.
• Metro Flow Prediction With Hierarchical Hypergraph Attention Networks Jingcheng Wang, Yong Zhang, Yongli Hu, Baocai Yin IEEE Transactions on Artificial Intelligence, 5(6):3012–3021, 2024.
• MVMA-GCN: Multi-view Multi-layer Attention Graph Convolutional Networks Pengyu Zhang, Yong Zhang, Jingcheng Wang, Baocai Yin Engineering Applications of Artificial Intelligence, 126 (Part A), Article 106717, 2023.
• Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks Jingcheng Wang, Yong Zhang, Yisheng Lv, Yongli Hu, Baocai Yin IEEE International Intelligent Transportation Systems Conference (ITSC), 2022.
• Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework Jingcheng Wang, Yong Zhang, Lixun Wang, Yongli Hu, Xinglin Piao, Baocai Yin IEEE Transactions on Intelligent Transportation Systems, 23(10):18557–18567, 2022.
• Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, Baocai Yin IEEE Transactions on Intelligent Transportation Systems, 22(12):7891–7903, 2021.

Contact

jingcheng.wang@ia.ac.cn
No. 95 Zhongguancun East Road, Haidian District, Beijing, China