A visual detection method for nighttime litchi fruits and fruiting stems. - Cuixiao Liang; Juntao Xiong; Zhenhui Zheng; Zhuo Zhong; Zhonghang Li; Shumian Chen; Zhen-Gang Yang (Comput. Electron. Agric., 2020)

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. - Zhonghang Li; Chao Huang 001; Lianghao Xia; Yong Xu 007; Jian Pei 001 (ICDE, 2022)

"Share for bargaining?": A willingness model based on privacy computing theory. - Zhonghang Li; Feng Liu; Tao Liu; Zixuan Zhou (ICEB, 2022)

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. - Zhonghang Li; Lianghao Xia; Yong Xu 007; Chao Huang 001 (NeurIPS, 2023)

Automated Spatio-Temporal Graph Contrastive Learning. - Qianru Zhang; Chao Huang 001; Lianghao Xia; Zheng Wang 046; Zhonghang Li; Siu-Ming Yiu (WWW, 2023)

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. - Zhonghang Li; Lianghao Xia; Yong Xu 007; Chao Huang 001 (ICML, 2024)

UrbanGPT: Spatio-Temporal Large Language Models. - Zhonghang Li; Lianghao Xia; Jiabin Tang; Yong Xu 007; Lei Shi; Long Xia; Dawei Yin; Chao Huang 001 (KDD, 2024)

Federated Learning Convergence Optimization for Energy-Limited and Social-Aware Edge Nodes. - Xiaoling Ling; Weicheng Chi; Jinjuan Zhang; Zhonghang Li (IEEE Access, 2024)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. - Zhonghang Li; Long Xia; Lei Shi; Yong Xu 007; Dawei Yin; Chao Huang 001 (CoRR, 2024)

Urban Computing in the Era of Large Language Models. - Zhonghang Li; Lianghao Xia; Xubin Ren; Jiabin Tang; Tianyi Chen; Yong Xu 007; Chao Huang 001 (CoRR, 2025)

AI-Researcher: Autonomous Scientific Innovation. - Jiabin Tang; Lianghao Xia; Zhonghang Li; Chao Huang 001 (CoRR, 2025)