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2020 – today
- 2024
[j3]Yihao Ang, Yifan Bao, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang:
TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking. Proc. VLDB Endow. 17(12): 4309-4312 (2024)- [j2]Jingyi Du, Ruibo Zhang, Rui Gao, Lei Nan, Yifan Bao:
RSDNet: A New Multiscale Rail Surface Defect Detection Model. Sensors 24(11): 3579 (2024) - [i4]Yifan Bao, Yihao Ang, Qiang Huang
, Anthony K. H. Tung, Zhiyong Huang:
Towards Controllable Time Series Generation. CoRR abs/2403.03698 (2024) - 2023
- [j1]Yihao Ang, Qiang Huang, Yifan Bao, Anthony K. H. Tung, Zhiyong Huang:
TSGBench: Time Series Generation Benchmark. Proc. VLDB Endow. 17(3): 305-318 (2023) - [i3]Yihao Ang, Qiang Huang, Yifan Bao, Anthony K. H. Tung, Zhiyong Huang:
TSGBench: Time Series Generation Benchmark. CoRR abs/2309.03755 (2023) - 2021
- [c1]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932 - [i2]Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang:
Privacy Threats Analysis to Secure Federated Learning. CoRR abs/2106.13076 (2021) - [i1]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR abs/2110.15094 (2021)
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