🎓 Second-year PhD Student at HKUST (Guangzhou), Robotics and Autonomous Systems (ROAS)
🔬 Research Interests: Generative Models, Reward Modeling, Vision Agents, Visual Perception
🧠 Current Focus: High-quality post-training, human-aligned reward modeling, multimodal agentic RL, and unified reasoning for visual understanding and generation
🌐 Website: ephemeral182.github.io
📧 Email: [email protected]
I’m Sixiang Chen (陈思翔), 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 — especially the PosterX series such as PosterCraft, PosterOmni, and PosterReward — 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.
-
🧠 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. -
📏 Reward Modeling and Preference Alignment
Designing reward models that align AI outputs with human standards in aesthetics, structure, typography, and usability. -
🤖 Vision Agents & Unified Reasoning
Exploring multimodal agentic RL and unified models for open-world visual understanding, generation, and reasoning.
🎯 PosterOmni · CVPR 2026
A unified framework for generalized multi-task poster creation and editing, covering both local refinement and global design.
🧠 PosterReward · CVPR 2026
A reward model for accurate evaluation and alignment of high-quality graphic design generation.
🎨 PosterCraft · ICLR 2026
Rethinking high-quality aesthetic poster generation in a unified framework.
- Feb 2026 — PosterOmni accepted by CVPR 2026
- Feb 2026 — PosterReward accepted by CVPR 2026
- Jan 2026 — PosterCraft accepted by ICLR 2026
- Jun 2025 — GenHaze accepted by ICCV 2025
- Apr 2025 — Released the GPT-4o Image Generation Capabilities evaluation report
- 2025 — Multiple papers accepted by CVPR / ICCV / AAAI
- 2024 — Papers accepted by NeurIPS / ECCV / CVPR, including CVPR 2024 Highlight
High-Quality Post-Training · Unified Model · Reward Modeling · Vision Agents · Image-Text Generation
| Type | Tools |
|---|---|
| Writing / Academic | |
| AI Research Assistants | |
| Development / Coding | |
| Training / Infra | |
| Design / Prototyping |
