- ๐ I'm Xuefen (้ชๆซ in Chinese), a Ph.D. student @Institute of Computing Technology of Chinese Academy of Sciences, received my bachelor degree@BUPT in the summer of 2021.
- ๐ฑ My research interest mainly includes
distributed ML system
,data quality
,cyber security
,AutoDrive
andvarious deep learning applications
. I'm passionate about uncovering valuable & unsettled research topics, so perhaps we can collaborate to do some interesting things๐. - ๐ซ You can reach me via my email: [email protected], visit my personal website, or view my scholar.
- โจ I'm the big fan of Iris.
- ๐ผ I love films & anime & sightseeing & music & night & sleeping a lot.
- ๐ Thank you for your coming~
๐ฌ Recent News~ (more updates in here)
- ๐ We propose LightVLA which achieves the state-of-the-art performance on the LIBERO benchmark with significantly reduced computational overhead.
- ๐ We release TransDiffuser which achieves the first place in the NAVSIM benchmark.
- ๐ We release the codebase of FNBench (IEEE TDSC Major Revision).
- ๐ We release one experimental study LLM4CVD which exploits LLMs to identify vulnerabilities within codes.
- ๐ One full research paper got accepted @ACM/CIKM'24. We also release one related comprehensive benchmark study FNBench and another follow-up work. Another work which focuses on long-tailed learning got accepted @ACML'24 oral.
- ๐ We reach top 5 teams in CVPR 2024 AutoDrive Grand Challenge (Driving with language track) with offline labels and multi-modal LLM. Another work (AMD's SLAM solution for underground autonomous parking) is relased here.
- ๐ I'm invited to serve as a reviewer for
ICML
&AISTATS
&CVPR
&WWW
&ICLR
&NeurIPS
&CoRL
&AAAI
&ICCV
&ACM MM
&ECAI
&ICME
&ACM TKDD
&IEEE TKDE
&IEEE TNNLS
&IEEE TIV
&IEEE TIFS
and others. - ๐ Joined AMD AI Group and focused on Auto-Drive (especially in
multi-sensor SLAM
&Multi-modal Perception
&LLM4Drive
) as a "Co-op" (2022.10-2024.8). - ๐ฝ My first work FedLSR got accepted @ACM/CIKM'22 full paper track with SIGWeb/NSF student award and FedNoRo got accepted @IJCAI'23 main track.