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ORCIDJiabin Tang
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2020 – today
- 2024
[c11]Jiabin Tang
, Wei Wei, Lianghao Xia, Chao Huang:
EasyST: A Simple Framework for Spatio-Temporal Prediction. CIKM 2024: 2220-2229- [c10]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. KDD 2024: 2842-2853 - [c9]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c8]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. KDD 2024: 6616-6626 - [c7]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang:
GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR 2024: 491-500 - [c6]Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM 2024: 806-815 - [c5]Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla:
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) 2024: 1284-1287 - [c4]Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW 2024: 3217-3228 - [i10]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
HiGPT: Heterogeneous Graph Language Model. CoRR abs/2402.16024 (2024) - [i9]Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR abs/2402.17188 (2024) - [i8]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i7]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. CoRR abs/2405.08011 (2024) - [i6]Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang:
EasyST: A Simple Framework for Spatio-Temporal Prediction. CoRR abs/2409.06748 (2024) - 2023
- [c3]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CIKM 2023: 2412-2421 - [c2]Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. CIKM 2023: 2432-2441 - [i5]Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang:
GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR abs/2310.13023 (2023) - [i4]Jiabin Tang, Lianghao Xia, Chao Huang:
Explainable Spatio-Temporal Graph Neural Networks. CoRR abs/2310.17149 (2023) - [i3]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CoRR abs/2310.17678 (2023) - [i2]Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR abs/2311.00423 (2023) - 2022
- [c1]Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. IJCNN 2022: 1-8 - [i1]Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. CoRR abs/2202.12586 (2022)
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