科学研究情况
1、承担项目情况
2025.06-2026.12：Artificial Intelligent Nanophotonic Chips for Colorimetric Biosensing and Imaging，阿卜杜拉国王科技大学 Competitive Research Grant（100万美元）， 参与.
2、发表学术论文情况
[1] Xiaochuan Gou∗, Ziyue Li∗, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang, “TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents”, full paper, NeurIPS 2025（CCF A）
[2] Jiayi Wang, Chunwei Dong, Xiaochuan Gou, Shaopeng Fu, Peng Yuan, Xin Song, Mohammad Bodiuzzaman, Mutalifu Abulikemu, Wanyu Lin, Ren-wu Huang, Omar F.Mohammed, Di Wang, and Osman M.Bakr, “Deep Learning Framework for Atomic-Level Design and Pre-Synthesis Prediction of Coinage-Metal Nanoclusters”, ACS Central Science, 2026（中科院一区、JCR一区）
[3] Jacob Rada∗, Jiajun Li∗, Xiaochuan Gou∗, Aditya Chivate, Haifeng Hu, Murali Gedda, Di Wang, Qiwen Zhan, Chi Zhou, and Qiaoqiang Gan “Microscale-concave-interface-induced Moiré fringes for smart spectral reconstruction”, IEEE Journal of Selected Topics in Quantum Electronics, 2026（中科院二区、JCR一区）
[4] Xiaochuan Gou∗, Lijie Hu∗, Di Wang, Xiangliang Zhang, “Vision Paper: A Fundamental Model with Stable Interpretability for Traffic Forecasting”, workshop paper, ACM SIGSPATIAL 2023
[5] Xiaochuan Gou, Xiangliang Zhang, “Telecommunication Traffic Forecasting via Multi-task Learning”, full paper, ACM WSDM 2023 （CCF B）.
[6] Xiaochuan Gou∗, Peng Han∗, Xiangliang Zhang, “QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting”, short paper, IEEE BigData 2022. （CCF C）
[7] Xiaochuan Gou, C.-C. Hung, Guanyao Li, W.-C. Peng, “PTGF: Public Transport General Framework for Identifying Transport Modes Based on Cellular Data”, workshop paper, IEEE MDM 2019.
[8] Guanyao Li, C.-J. Chen, S.-Y. Huang, A.-J. Chou, Xiaochuan Gou, W.-C. Peng and C.-W. Yi, “ Public Transportation Mode Detection from Cellular Data”, poster paper, ACM CIKM 2017. （CCF B）
3、获得授权专利情况
4、出版学术专著情况
