Jialv Zou

Jialv Zou

PhD candidate of Artificial Intelligence

Huazhong University of Science and Technology

Biography

I am a first-year PhD candidate at the School of Electronic Information and Communications (EIC), Huazhong University of Science and Technology (HUST), supervised by Prof. Wenyu Liu and Prof. Xinggang Wang. I received my B.E. degree from School of Integrated Circuit (IC), HUST in 2023. I pursued my M.S. degree at HUST from 2023 to 2025, before transitioning into the Ph.D. program. My research interests mainly lie in multimodal learning and autonomous driving.

Interests
  • Multimodal Learning
  • Autonomous Driving
Education
  • PhD candidate in Electronic Information and Communications, 2025-present

    Huazhong University of Science and Technology

  • Master in Electronic Information and Communications, 2023-2025

    Huazhong University of Science and Technology

  • BEng in Microelectronics Science and Engineering, 2019-2023

    Huazhong University of Science and Technology

Education

 
 
 
 
 
Huazhong University of Science and Technology
PhD candidate
Sep 2025 – Present Wuhan, China

Responsibilities include:

  • PhD candidate in School of Electronic Information and Communications(EIC)
 
 
 
 
 
Huazhong University of Science and Technology
Master
Sep 2023 – Jun 2025 Wuhan, China

Responsibilities include:

  • Master in School of Electronic Information and Communications(EIC)
 
 
 
 
 
Huazhong University of Science and Technology
Undergraduate
Sep 2019 – Jun 2023 Wuhan, China

Responsibilities include:

  • B.Eng. in Microelectronics Science and Engineering, School of Integrated Circuit
  • GPA:3.88/4.00(Rank:10/82)

Internships

 
 
 
 
 
Intern
Nov 2022 – Present Beijin, China

Responsibilities include:

Publications

DiffusionDriveV2 overview

DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving

Jialv Zou, Shaoyu Chen, Bencheng Liao, Zhiyu Zheng, Yuehao Song, Lefei Zhang, Qian Zhang, Wenyu Liu, Xinggang Wang

Arxiv 2025

Paper | Code

ResAD overview

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving

Zhiyu Zheng, Shaoyu Chen, Haoran Yin, Xinbang Zhang, Jialv Zou, Xinggang Wang, Qian Zhang, Lefei Zhang

Arxiv 2025

Paper | Web | Code

OmniMamba overview

OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models

Jialv Zou, Bencheng Liao, Qian Zhang, Wenyu Liu, Xinggang Wang

Arxiv 2025

Paper | Code

MIM4D overview

MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning

Jialv Zou*, Bencheng Liao*, Qian Zhang, Wenyu Liu, Xinggang Wang

International Journal of Computer Vision (IJCV) 2025

Paper | Code

CircuitFormer overview

CircuitFormer: Circuit as Set of Points

Jialv Zou, Xinggang Wang, JiaHao Guo, Wenyu Liu, Qian Zhang, Chang Huang

Neural Information Processing Systems (NeurIPS) 2023

Paper | Code

Competition Experience

Awards & Honors

  • China National Scholarship for Master Student, 2025

Academic Services

Conference Reviewers

  • Neural Information Processing Systems (NeurIPS)

Journal Reviewers

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)