Hi, all! I am a fifth-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 from Adobe and Pannaga Shivaswamy from Netflix.
My PhD research focuses on Robust Machine Learning. Recently, I also did work in Recommendation System, Multi-Modality, Reinforcement Learning, Natural Language Processing, Computer Vision, Logical Reasoning and Out-of-distribution Generalization. I am looking for jobs requiring impactful and innovative product or academical research.
Reducing Accuracy Gap in Adversarial Training by Discriminating Adversarial Samples
Qiuling Xu , , , and
Conference Reviewer: ICLR 2023, AAAI 2023, NeurIPS 2022, 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