Junyi Hou (侯君宜)

@inproceedings{wu2024vertibench,
  title = {VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks},
  author = {Wu, Zhaomin and Hou, Junyi and He, Bingsheng},
  year = {2024},
  booktitle = {The Twelfth International Conference on Learning Representations, {ICLR} 2024, Vienna, Austria, May 7-11},
  publisher = {OpenReview.net},
  url = {https://openreview.net/forum?id=glwwbaeKm2},
  timestamp = {Tue, 23 Jul 2024 16:00:00 +0200},
}

@article{10459338,
  title = {Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification},
  author = {Zhi, Ruicong and Meng, Yicheng and Hou, Junyi and Wan, Jun},
  year = {2024},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  volume = {},
  number = {},
  pages = {1--11},
  doi = {10.1109/TNNLS.2024.3368341},
  keywords = {Task analysis;Training;Computational modeling;Stability analysis;Prototypes;Feature extraction;Data models;Class-incremental learning;data imbalance;knowledge distillation (KD);representation learning},
}

@inproceedings{qb2024llmpbe,
  title = {LLM-PBE: Assessing Data Privacy in Large Language Models},
  author = {Li, Qinbin and Hong, Junyuan and Xie, Chulin and Tan, Jeffrey and Xin, Rachel and Hou, Junyi and Yin, Xavier and Wang, Zhun and Hendrycks, Dan and Wang, Zhangyang and Li, Bo and He, Bingsheng and Song, Dawn},
  year = {2024},
  booktitle = {50th International Conference on Very Large Data Bases, {VLDB} 2024, Guangzhou, China, August 26-30, 2024.},
  volume = {17},
  timestamp = {Sun, 30 Jun 2024 08:27:00 +0800},
}

@inproceedings{wu2024fet,
  title = {Federated Transformer: Scalable Vertical Federated Learning on Practical Fuzzily Linked Data},
  author = {Wu, Zhaomin and Hou, Junyi and Diao, Yiqun and He, Bingsheng},
  year = {2024},
  booktitle = {The Thirty-eighth Annual Conference on Neural Information Processing Systems, {NeurIPS} 2024, Vancouver, Canada, Dec 9-15},
  publisher = {OpenReview.net},
  url = {https://openreview.net/forum?id=FqWyzyErVT},
  timestamp = {Thur, 26 Sept 2024 00:00:00 +0800},
}