Jiabin Tang

According to our database, Jiabin Tang authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI-Researcher: Autonomous Scientific Innovation.

Jiabin Tang, Lianghao Xia, Zhonghang Li, Chao Huang

CoRR, May, 2025

Urban Computing in the Era of Large Language Models.

Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang

CoRR, April, 2025

AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents.

Jiabin Tang, Tianyu Fan, Chao Huang

CoRR, February, 2025

2024

GraphAgent: Agentic Graph Language Assistant.

Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang

CoRR, 2024

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.

Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang

Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Graphs: Progresses and Directions.

Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.

Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphGPT: Graph Instruction Tuning for Large Language Models.

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

HiGPT: Heterogeneous Graph Language Model.

Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey of Large Language Models for Graphs.

Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UrbanGPT: Spatio-Temporal Large Language Models.

Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EasyST: A Simple Framework for Spatio-Temporal Prediction.

Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Explainable Spatio-Temporal Graph Neural Networks.

Jiabin Tang, Lianghao Xia, Chao Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatio-Temporal Meta Contrastive Learning.

Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting.

Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li

Proceedings of the International Joint Conference on Neural Networks, 2022