π Second-year PhD Student at HKUST (Guangzhou), Robotics and Autonomous Systems (ROAS)
π¬ Research Interests: Generative Models, Reward Modeling, Vision Agents, Visual Perception
π§ Current Focus: High-quality post-training, human-aligned reward modeling, multimodal agentic RL, and unified reasoning for visual understanding and generation
π Website: ephemeral182.github.io
π§ Email: [email protected]
Iβm Sixiang Chen (ιζηΏ), advised by Prof. Lei Zhu and Prof. Fugee Tsung.
My work explores how generative and unified models can unlock new potential in image understanding and creation.
I believe research should matter to real users.
Some projects I lead β especially the PosterX series such as PosterCraft, PosterOmni, and PosterReward β aim to build dependable tools for designers and broader creative communities, while also pushing forward general post-training and alignment for image-text foundation models.
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π§ High-Quality Post-Training for Generative Models
Building post-training and alignment methods for high-quality image-text generation and editing, with a focus on reward modeling, preference learning. -
π Reward Modeling and Preference Alignment
Designing reward models that align AI outputs with human standards in aesthetics, structure, typography, and usability. -
π€ Vision Agents & Unified Reasoning
Exploring multimodal agentic RL and unified models for open-world visual understanding, generation, and reasoning.
π― PosterOmni Β· CVPR 2026
A unified framework for generalized multi-task poster creation and editing, covering both local refinement and global design.
π§ PosterReward Β· CVPR 2026
A reward model for accurate evaluation and alignment of high-quality graphic design generation.
π¨ PosterCraft Β· ICLR 2026
Rethinking high-quality aesthetic poster generation in a unified framework.
- Feb 2026 β PosterOmni accepted by CVPR 2026
- Feb 2026 β PosterReward accepted by CVPR 2026
- Jan 2026 β PosterCraft accepted by ICLR 2026
- Jun 2025 β GenHaze accepted by ICCV 2025
- Apr 2025 β Released the GPT-4o Image Generation Capabilities evaluation report
- 2025 β Multiple papers accepted by CVPR / ICCV / AAAI
- 2024 β Papers accepted by NeurIPS / ECCV / CVPR, including CVPR 2024 Highlight
High-Quality Post-Training Β· Unified Model Β· Reward Modeling Β· Vision Agents Β· Image-Text Generation
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