About

drawing

Google Scholar, CV


👋 Hi! I’m a final year computer science PhD candidate at Northwestern University working with Dr. Andrew Crotty on data management systems with focus on AI-assisted sequence data processing and indexing.

I completed my B.S. in computational statistics and data sciences at the Pennsylvania State University from 2016 to 2020. During my undergraduate studies, I was advised by Dr. Ting Wang for doing researches in security and privacy of deep learning based systems. Previously, I worked as a bioinformatics programmer at the Mahony Lab where I had pleasure working with a group of genius researchers from May till Dec, 2019.

News:

  • 2026-06 · reviewer Invited to serve on the program committee for CIKM ‘26.
  • 2026-06 · internship Started my internship at Adobe Research this summer in San Jose!
  • 2026-03 · milestone Passed my thesis prospectus!
  • 2026-02 · accepted Our paper “DeepSketch 2.0: Discovering Temporal Relationships in Large Time Series Datasets” got accepted to the “ICDE 26” conference, see you in Montréal, Canada this Spring!
  • 2025-08 · internship Joined Adobe Research as Research Scientist Intern.
  • 2025-05 · conference DeepSketch poster presented at GCASR 2025.
  • 2024-12 · talk Organized the Northwestern Database seminar talk.
  • 2024-08 · milestone Passed my qualifying exam, I’m officially a Ph.D. candidate.
  • 2024-05 · accepted Our paper “DeepSketch” got accepted to the VLDB 24 conference, see you at Guangzhou this Aug!
  • 2022-10 · conference I am invited to attend 19th International Workshop on High Performance Transaction Systems HPTS 2022.
  • 2022-01 · accepted Our paper “TrojanZoo” got accepted at Euro S&P 2022!
  • 2021-04 · milestone I will be joining Northwestern Computer Science department as a Ph.D. student in Fall 2021!
  • 2021-03 · accepted Our paper “Trojanning Language Models for Fun and Profit” got accepted at Euro S&P 2021!

Publications:

ICDE ‘26: DeepSketch: A Query Sketching Tool for Discovering Temporal Relationships in Large Time Series Datasets. Zheng Zhang, Runzhe Jiang, Andrew Crotty

VLDB ‘24: DeepSketch: A Query Sketching Interface for Deep Time Series Similarity Search. Zheng Zhang, Joey Shao, Andrew Crotty

IEEE EuroS&P ‘22: TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors. Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Xiaopu Luo and Ting Wang. Paper GitHub

IEEE EuroS&P ‘21: Trojaning Language Models for Fun and Profit. Xinyang Zhang, Zheng Zhang, Shouling Ji, and Ting Wang. Paper Slide

Education:

Ph.D. in Computer Sciences

2021 - Present, Northwestern University, Evanston, IL

B.S. in Statistics and Data Sciences

2016 - 2020, The Pennsylvania State University, University Park, PA

Internship:

Teaching:

Northwestern:

  • COMP_SCI 339 - Intro to Databases (Winter 23, 24, 25)
  • COMP_SCI 497 - Advanced Database Systems (Spring 24, 25; Winter 26)

Penn State:

  • CMPSC 410 - Programming Models for Big Data (Fall 19,20)
  • CMPSC 442 - Artificial Intelligence (Spring 20)

Service:

Personal:

During my free time, I ride (motorcycle), draw (mostly sketches), and photoshoot. If you’re interested, you can find my previous drawings and photographs.

Most recent update: Jun, 2026