Currently, I’m a second-year PhD student at Fudan University and Shanghai Innovation Institute, advised by Prof. Hongyang Li and Prof. Yu Qiao. My research interests mainly focus on Humanoid Robot Learning.

📖 Education

• 2024 - (now), PhD student in Computer Science, Fudan University.
• 2021 - 2024, M.S. in Machine Learning and Optimization, University of Chinese Academy of Sciences.
• 2017 - 2021, B.S. in Statistics, Hunan University, Rank 1/30.

🔥 News

• 2026.02:  📢 We release EgoHumanoid on ArXiv, a human-to-humanoid loco-manipulation transfer framework.
• 2026.01:  🎉 WholeBodyVLA is accepted by ICLR 2026!

📝 Selected Publications

ArXiv 2602

EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration

M Shi*, S Peng*, J Chen*, Haoran Jiang, Y Li, D Huang, P Luo, H Li, L Chen

Project | GitHub | arXiv

• The first endorsement of human-to-humanoid transfer for whole-body locomanipulation.

ICLR 2026

WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control

Haoran Jiang*, J Chen*, Q Bu, L Chen, M Shi, Y Zhang, D Li, C Suo, C Wang, …

International Conference on Learning Representations (ICLR 2026), first author

Project | GitHub | arXiv

• Towards unified latent vision-language-action models for whole-body loco-manipulation control.

ICCV 2025

Detect anything 3d in the wild

H Zhang*, Haoran Jiang*, Q Yao, Y Sun, R Zhang, H Zhao, H Li, H Zhu, Z Yang

International Conference on Computer Vision (ICCV 2025), co-first author

GitHub | arXiv

• 3D object detection in the wild.

Generative AI

[NeurIPS 2025] Forgerysleuth: Empowering multimodal large language models for image manipulation detection.

    Z Sun, Haoran Jiang, H Chen, Y Cao, X Qiu, Z Wu, YG Jiang

[IEEE TVCG 2025] SketchRefiner: Text-Guided Sketch Refinement Through Latent Diffusion Models.

    Y Tian, M Liu, Haoran Jiang, Y Tu, D Su

[ICCV 2023] SAFL-Net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection.

    Z Sun, Haoran Jiang, D Wang, X Li, J Cao

Weakly-supervised Learning

[AAAI 2024 (Oral)] Navigating real-world partial label learning: unveiling fine-grained images with attributes.

    Haoran Jiang, Z Sun, Y Tian

[Information Fusion 2025] Recent advances in complementary label learning.

    Y Tian, Haoran Jiang† (Corresponding author)

[Neural Networks 2024] ComCo: Complementary supervised contrastive learning for complementary label learning.

    Haoran Jiang, Z Sun, Y Tian

🎖 Selected Honors and Awards

• National Scholarship
• Beijing University Basketball League - Second Place