publications

2024

1. ICLR 2024

   

   VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks

   Zhaomin Wu, Junyi Hou, and Bingsheng He

   In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11 , 2024

   Bib Website

   @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},
   }

2. TNNLS 2024

   

   Dual Balanced Class-Incremental Learning With im-Softmax and Angular Rectification

   Ruicong Zhi, Yicheng Meng, Junyi Hou, and Jun Wan

   IEEE Transactions on Neural Networks and Learning Systems, 2024

   Bib

   @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},
   }

3. VLDB 2024

   

   LLM-PBE: Assessing Data Privacy in Large Language Models

   Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, and 7 more authors

   In 50th International Conference on Very Large Data Bases, VLDB 2024, Guangzhou, China, August 26-30, 2024. Our LLM Privacy Challenge can be found here , 2024

   🥇 Best Paper Nomination Bib Website

   We are delighted to inform you that your paper, titled “LLM-PBE: Assessing Data Privacy in Large Language Models [Experiment, Analysis & Benchmark] (Revision Submission)” has been nominated for the best paper award for PVLDB Vol. 17 (VLDB 2024).

   @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},
   }

4. NeurIPS 2024 CT

   

   The NeurIPS 2024 LLM Privacy Challenge

   Qinbin Li, Junyuan Hong, Chulin Xie, Junyi Hou, Yiqun Diao, Zhun Wang, and 5 more authors

   In NeurIPS 2024 Competition Track , 2024

   Bib Website

   @inproceedings{li2024llmpc,
     title = {The Neur{IPS} 2024 {LLM} Privacy Challenge},
     author = {Li, Qinbin and Hong, Junyuan and Xie, Chulin and Hou, Junyi and Diao, Yiqun and Wang, Zhun and Hendrycks, Dan and Wang, Zhangyang and Li, Bo and He, Bingsheng and Song, Dawn},
     year = {2024},
     booktitle = {NeurIPS 2024 Competition Track},
     url = {https://openreview.net/forum?id=2cRnDwpF6D},
   }

5. NeurIPS 2024

   

   Federated Transformer: Scalable Vertical Federated Learning on Practical Fuzzily Linked Data

   Zhaomin Wu, Junyi Hou, Yiqun Diao, and Bingsheng He

   In The Thirty-eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver, Canada, Dec 9-15 , 2024

   Bib

   @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},
   }