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Chen Feng (Winnie), a Ph.D. student at the University of Hong Kong working on robotics.
Chen Feng — education, research experience, publications, honors, and professional service.
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Short description of portfolio item number 1
Short description of portfolio item number 2 
Published in NeurIPS, 2023, 2023
Combining vision, language, and differentiable physics to scale up soft-body manipulation and make task specification more accessible.
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Published in arXiv, 2023
We present RoboGen, a generative robotic agent that automatically learns diverse robotic skills at scale via generative simulation.
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Published in arXiv, 2024
In EvalTask, we propose a novel framework for evaluating generative robotic simulations from various aspects.
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Published in arXiv, 2025
In GenDexHand, we propose a generative pipeline for dexterous hand tasks that combines LLM/VLM refinement, motion planning, DoF constraints, and subtask decomposition to generate scalable, high-quality trajectory data.
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Published in arXiv, 2026
We introduce DexHoldem, a real-world system-level benchmark for Texas Hold’em dexterous manipulation with a ShadowHand, evaluating tabletop execution, agentic perception, and embodied decision routing.
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A seminar on scaling robotics data, drawing on lessons from computer vision and language models and comparing simulation with real-world testing.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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