Jingzheng Li

Research assistant, Zhongguancun Lab

Joined

March 2022

Names

Jingzheng Li (Preferred)

Emails

****@163.com (Confirmed)

****@buaa.edu.cn (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

research assistant

Zhongguancun Lab (zgclab.edu.cn)

2024 – Present

Advisors, Relations & Conflicts

PhD Advisor

Hailong Sun

2019 – 2023

Expertise

Autonomous Driving

Present

Transfer learning

2020 – 2023

Crowdsourcing

2019 – 2023

Publications

OBJVANISH: PHYSICALLY REALIZABLE TEXT-TO-3D ADV. GENERATION OF LIDAR-INVISIBLE OBJECTS
Bing Li, Wuqi Wang, Yanan Zhang, Jingzheng Li, Haigen Min, Wei Feng, Xingyu Zhao, Jie Zhang, Qing Guo
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation
Jingzheng Li, Hailong Sun
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- Mach. Learn. 2023
- Readers: Everyone
Beyond confusion matrix: learning from multiple annotators with awareness of instance features
Jingzheng Li, Hailong Sun, Jiyi Li
- Published: 01 Jan 2023, Last Modified: 11 May 2023
- Mach. Learn. 2023
- Readers: Everyone
LiFT: Transfer Learning in Vision-Language Models for Downstream Adaptation and Generalization
Jingzheng Li, Hailong Sun
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- ACM Multimedia 2023
- Readers: Everyone
Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning
Jingzheng Li, Hailong Sun
- 2022 (modified: 22 Jan 2023)
- ACM Multimedia 2022
- Readers: Everyone
Learning from Multiple Annotators by Incorporating Instance Features
Jingzheng Li, Hailong Sun, Jiyi Li, Zhijun Chen, Renshuai Tao, Yufei Ge
- Published: 01 Jan 2021, Last Modified: 11 May 2023
- CoRR 2021
- Readers: Everyone
Neighborhood attribute reduction: a multi-criterion approach
Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu
- Published: 01 Jan 2019, Last Modified: 11 May 2023
- Int. J. Mach. Learn. Cybern. 2019
- Readers: Everyone

Jingzheng Li

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

OBJVANISH: PHYSICALLY REALIZABLE TEXT-TO-3D ADV. GENERATION OF LIDAR-INVISIBLE OBJECTS

NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation

Beyond confusion matrix: learning from multiple annotators with awareness of instance features

LiFT: Transfer Learning in Vision-Language Models for Downstream Adaptation and Generalization

Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning

Learning from Multiple Annotators by Incorporating Instance Features

Neighborhood attribute reduction: a multi-criterion approach

Co-Authors