Jigang Bao

According to our database, Jigang Bao authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Reassessing Global Rankings: a critical review of ShanghaiRanking's GRAS in Tourism and Hospitality.

Shiyu Wu, Ganghua Chen, Zhenting Li, Jigang Bao

Scientometrics, February, 2026

2025

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction.

Yifan Hu, Peiyuan Liu, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia

CoRR, February, 2025

MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns.

YuJun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting.

Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia

Proceedings of the Forty-second International Conference on Machine Learning, 2025

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning.

Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Node-Level Graph Regression With Deep Gaussian Process Models.

Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia

IEEE Trans. Artif. Intell., June, 2024

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting.

Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia

CoRR, 2024

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation.

Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

CoRR, 2024

Periodicity Decoupling Framework for Long-term Series Forecasting.

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting.

Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia

Proceedings of the IEEE International Conference on Acoustics, 2024