Yifan Bao

According to our database, Yifan Bao authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Inferring the qualities of protein-RNA models with graph transformers.

Andrew Jordan Siciliano, Yifan Bao, Bishal Shrestha, Zheng Wang

Bioinform., 2026

2025

RFOD: Random Forest-based Outlier Detection for Tabular Data.

Yihao Ang, Peicheng Yao, Yifan Bao, Yushuo Feng, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang

CoRR, October, 2025

Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback.

Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony K. H. Tung, Lukasz Szpruch, Hao Ni

CoRR, August, 2025

RDBL-Net: detection of foreign objects on transmission lines based on positional encoding multiscale feature fusion.

Xiaoli Guo, Yifan Bao, Hao Jiang, Zichong Feng, Yuhan Sun

Int. J. Sens. Networks, 2025

Structured Agentic Workflows for Financial Time-Series Modelling with LLMs and Reflective Feedback.

Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony K. H. Tung, Lukasz Szpruch, Hao Ni

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

CMS-VAE: A Strategy-aware Variational AutoEncoder for High-Fidelity Crypto Market Simulation.

Yihao Ang, Yifan Bao, Qiang Huang, Qiang Wang, Xinyu Xi, Shuyu Lu, Anthony K. H. Tung, Zhiyong Huang

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking.

Yihao Ang, Yifan Bao, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang

Proc. VLDB Endow., August, 2024

RSDNet: A New Multiscale Rail Surface Defect Detection Model.

Jingyi Du, Ruibo Zhang, Rui Gao, Lei Nan, Yifan Bao

Sensors, June, 2024

Towards Controllable Time Series Generation.

Yifan Bao, Yihao Ang, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang

CoRR, 2024

2023

TSGBench: Time Series Generation Benchmark.

Yihao Ang, Qiang Huang, Yifan Bao, Anthony K. H. Tung, Zhiyong Huang

Proc. VLDB Endow., November, 2023

2021

Privacy Threats Analysis to Secure Federated Learning.

Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang

CoRR, 2021

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.

Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021