Jiyuan Wang 王纪元
I am a third-year joint Ph.D. (Bachelor-straight-to-doctorate) student at Beijing Jiaotong University (BJTU) and Nanyang Technological University (NTU).
I conduct research at MePro (led by Prof. Yao Zhao) and S-Lab, jointly supervised by Prof. Chunyu Lin and Prof. Guosheng Lin.
Prior to that, I received my undergraduate degree in Computer Science and Technology from BJTU.
Research Interests
My research interests focus on AIGC, especially video generation and editing. I am enthusiastic about exploring generative models and tools such as Diffusion, FLUX, Flow Matching, and VLMs, and successfully integrating them into my research to achieve impressive results.
1) AIGC: Video Generation/Editing, Diffusion Model, Flow Matching, DiffusionNFT, GRPO (Generative)
2) VLM: Video Understanding, GRPO, Reward Model
3) Others: 3D Gaussian, Depth Estimation, Normal Estimation
Publications
(Orange title indicates first/co-first author)Preprint
Dandelion: Towards Real-time and Consistent Long Video Depth Estimation
Under Review
WritingPhysBench: Evaluating Handwriting Physical Plausibility in Text-to-Video Generation
Under Review

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating
Under Review

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
Under Review

DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation
Under Review

CoFiRender: Rewarding Coarse-to-Fine Quality for Visual Text Rendering in Image Editing
Under Review
2026

Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing
European Conference on Computer Vision (ECCV), 2026

Releasing Perspective Priors for 360° Depth Estimation via Self-Conditioned Modulation
European Conference on Computer Vision (ECCV), 2026

From Editor to Dense Geometry Estimator
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

2025

Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Conference on Neural Information Processing Systems (NeurIPS), 2025


Advancing Real-World Parking Slot Detection with Large-Scale Dataset and Semi-Supervised Baseline
IEEE Transactions on Intelligent Transportation Systems (TITS), 2025
2024



OverleafCopilot: Empowering academic writing in Overleaf with large language models
Web Application (4000+ Users)
† Equal contribution (co-first authors).
Experiences
Amap, Alibaba — DreamX Team
Algorithm Engineer Intern · Machine Learning R&D
Apr. 2025 — Nov. 2025
Dense prediction for generation/editing models and reinforcement learning for generation. Mentors: Lei Sun and Xiangxiang Chu.
Selected Awards
- Doctoral China National Scholarship (Oct. 2025. 3% awarded.)
- Postgraduate Entrepreneurship and Innovation Project (4% awarded.)
- Research and Innovation Scholarship of BJTU (Oct. 2023. 4% awarded.)
- China National Scholarship (Oct. 2023. 3% awarded.)
- Highest honor of BJTU: Zhixing Scholarship (Nov. 2022. 0.2% awarded.)
- China National Scholarship (Oct. 2022. 3% awarded.)
- Baosteel Scholarship (Oct. 2022. 0.2% awarded.)
- China National Scholarship (Oct. 2021. 3% awarded.)
Academic Service & Activities
Frequent Reviewer
- CVPR, ICCV, ECCV, ICLR, ICML, MM, AAAI, TCSVT
- 🏆 ICML 2026 Golden Reviewer
- 🏆 CVPR 2026 Outstanding Reviewer