Lei Wang (王雷)
Ph. D. Candidate, College of Computer Science, Nankai University
Address: No. 38, Tongyan Road, Haihe Education Park, Tianjin, China
Email: scitop1998 [at] {gmail.com}

About Me [GitHub] [Google Scholar] [CSDN] [知乎]

I'm a Ph. D. candidate in PCA Lab, VCIP, College of Computer Science, Nankai University. I got my master's degree from the College of Information Science and Technology, Hebei Agricultural University (HEBAU) in 2024. My master's advisor is Prof. Bo Liu from HEBAU. My PhD's advisor is Prof. Jian Yang from Nankai University (NKU), who is a Changjiang Scholar. My vice-advisor is Prof. Yaxing Wang from Jilin University.

My recent works are mainly on:
  • controllable video generation
  • diffusion model
  • vision-language model
  • knowledge distillation
  • gait recognition

Honor

  • 2021-2022 Postgraduate School First Class Scholarships
  • National Bronze Medal in the "China University Computer Competition - Group Programming Ladder Match" in Hebei Province in 2019.
  • Second Prize of C/C++ Programming University B Group of the 10th Blue Bridge Cup National Software and Information Technology Professionals Competition Hebei Region
  • 2018 Third Prize in the Professional Group of the Second College Student Programming Competition of Hebei Agricultural University

News

  • 2026-02-21: 1 paper (WaDi) accepted in CVPR 2026.
  • 2025-2-27: 2 papers (MaskUNet, TiUE) accepted in CVPR 2025.
  • 2023-12-08: I was accepted as a PhD candidate in Computer Science and Technology at the College of Computer Science, Nankai University.
  • 2023-11-17: 1 paper (HiH) submitted in Arxiv 2024.
  • 2023-07-14: 1 paper (HSTL) accepted in ICCV 2023.
  • 2023-07-1: 1 paper (GaitMM) accepted in ICIP 2023.
  • 2022-04-4: 1 paper (GaitTB) accepted in 火力与指挥控制.

Publications

(* indicates equal contribution, # corresponding author)
WaDi: Weight Direction-aware Distillation for One-step Image Synthesis
Lei Wang, Yang Cheng, Senmao Li, Ge Wu, Yaxing Wang#, Jian Yang#
in CVPR, 2026
[Paper] [BibTex] [Project Page] [Code]
We propose the Low-rank Rotation of weight Direction (LoRaD), a parameter-efficient adapter tailored to one-step diffusion distillation. LoRaD is designed to model these structured directional changes using learnable low-rank rotation matrices. We further integrate LoRaD into Variational Score Distillation (VSD), resulting in Weight Direction-aware Distillation (WaDi)
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability
Lei Wang, Senmao Li, Fei Yang#, Jianye Wang, Ziheng Zhang, Yuhan Liu, Yaxing Wang, Jian Yang#
in CVPR, 2025
[Paper] [BibTex] [Project Page] [Code]
In this paper, we propose a universal masking strategy, MaskUNet, to improve the generation quality and generalization ability of stable diffusion.
One-Way Ticket : Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Model
Senmao Li, Lei Wang, Kai Wang, Tao Liu, Jiehang Xie, Joost van de Weijier, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang#, Jian Yang
in CVPR, 2025
[Paper] [BibTex] [Code]
We introduce the first Time-independent Unified Encoder (TiUE) architecture, which is a loop-free distillation approach and eliminates the need for iterative noisy latent processing while maintaining high sampling fidelity with a time cost comparable to previous one-step methods.
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
Lei Wang, Bo Liu#, Fangfang Liang, Bincheng Wang
in ICCV, 2023
[Paper] [BibTex] [Code]
In this paper, we propose a hierarchical spatio-temporal representation learning (HSTL) framework for extracting gait features from coarse to fine.
GaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition
Lei Wang, Bo Liu#, Bincheng Wang, Fuqiang Yu
in ICIP, 2023
[Paper] [Arxiv] [BibTex] [Code]
In this study, we propose a multi-granularity motion representation network (GaitMM) for gait sequence learning.
HiH: A Multi-modal Hierarchy in Hierarchy Network for Unconstrained Gait Recognition
Lei Wang, Yinchi Ma, Peng Luan, Wei Yao, Congcong Li, Bo Liu#
in Arxiv, 2024
[Paper] [BibTex] [Code]
We present a multi-modal Hierarchy in Hierarchy network (HiH) that integrates silhouette and pose sequences for robust gait recognition.

Internships

  • 2025.08 - present, Visual Technology Department, Baidu, Beijing, China. Mentor: Yuxin Song

Review Services

Conference Reviewer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Asian Conference on Computer Vision, 2022

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