Hi, all! I am a
thirdfourth-year Ph.D. student at Purdue Computer Science. I am fortunate to be supervised by Prof. Xiangyu Zhang
and co-advised by Prof. Jean Honorio. Before coming to Purdue,
I received my B.S. from National Elite Program at Nanjing University and was supervised by Prof. Yang Yu. I also collaborated with Xin Lu and Pannaga Shivaswamy from Netflix.
My PhD research focuses in providing the robustness guarantee for modern machine learning models. Recently, I also did work in recommendation system, continual learning and out-of-distribution generalization. I am looking for job requiring impactful and innovative product or academical research.
Reducing Accuracy Gap in Adversarial Training by Discriminating Adversarial Samples
Qiuling Xu , , , and
Conference Reviewer: CVPR2022, ICML2022, ECCV2022, ASE2020, CCS2020, FSE2020
Journal Reviewer: TCSVT, TIP, EMSE
Personal Opearting System
Implementing the OS from scratch, including BIOS, Driver, Root File System, Segmentation, System Call, Process Support and Shells. You can play the video game"Puzzle" on it. The OS runs on emulator QEMU.
Related Courses: Learning Theory, Reinforcement Learning, Graph Model, Natural Language Processing, Statistical Machine Learning.
Language: Python, C, C++, SQL, HTML.
Tools: Pytorch, Tensorflow, MXNET.
Purdue Computer Science
N University St, West Lafayette, IN 47907
xu1230 $at$ PURDUE *dot* edu