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## Biography

I am Luke, a Ph.D. student at [CISPA Helmholtz Center for Information Security](https://cispa.de) (Saarbrücken, Germany), co-supervised by [Prof. Michael Backes](https://cispa.saarland/director/) and [Dr. Yang Zhang](https://yangzhangalmo.github.io/). I obtained my B.E. degree at [Sichuan University](https://www.scu.edu.cn/) (Chengdu, China) advised by [Prof. Beibei Li](https://li-beibei.github.io/) in 2022.
I am Luke, a Prep. Ph.D. student at Saarland University and [CISPA Helmholtz Center for Information Security](https://cispa.de) (Saarbrücken, Germany), co-supervised by [Prof. Michael Backes](https://cispa.saarland/director/) and [Dr. Yang Zhang](https://yangzhangalmo.github.io/). I obtained my B.E. degree at [Sichuan University](https://www.scu.edu.cn/) (Chengdu, China) advised by [Prof. Beibei Li](https://li-beibei.github.io/) in 2022.

## Research Interests

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## Publications

* **Yukun Jiang**, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang: ''Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming.'' International AAAI Conference on Web and Social Media (ICWSM 2024) [\[PDF Coming Soon\]](https://ashbringer0926.github.io/20000926/about-me)
<!-- * **Yukun Jiang**, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang: ''Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming.'' International AAAI Conference on Web and Social Media (ICWSM 2024) [\[PDF Coming Soon\]](https://ashbringer0926.github.io/20000926/about-me) -->
* **Yukun Jiang**, Xiaoyu Cao, Hao Chen, Neil Gong: ''FedER: Communication-Efficient Byzantine-Robust Federated Learning.'' In International Conference on Learning Representations 2022 Workshop on Socially Responsible Machine Learning (ICLR 2022-SRML) [\[PDF\]](http://ashbringer0926.github.io/Publications/FedER.pdf)
* Beibei Li, **Yukun Jiang**, Qingqi Pei, Tao Li, Liang Liu, Rongxing Lu: ''FEEL: Federated End-to-End Learning with Non-IID Data for Vehicular Ad Hoc Networks.'' In IEEE Transactions on Intelligent Transportation Systems T-ITS (T-ITS) [\[Link\]](https://ieeexplore.ieee.org/document/9831009)
* Beibei Li, **Yukun Jiang**, Wenbin Sun, Weina Niu, Peiran Wang: ''FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks.'' In Proceedings of IEEE Global Communications Conference 2021 (GLOBECOM 2021) [\[Link\]](https://ieeexplore.ieee.org/document/9685068) [\[PDF\]](http://ashbringer0926.github.io/Publications/FedVANET.pdf)
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