Yingchen Xu

5 papers · 2019–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

ICLR (2) NeurIPS (2) ICML (1)

Top co-authors

Edward Grefenstette (2) Yuandong Tian (2) Tim Rocktäschel (2) Qinqing Zheng (1) DiJia Su (1) Aldo Pacchiano (1) Oleh Rybkin (1) Michael Janner (1) zhengyao jiang (1) Hanlin Zhu (1)

Research topics

Artificial Intelligence (4) Core AI (4) Deep Learning (3) Machine Learning (3) Reinforcement Learning (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1) Models (1) Optimization & Theory (1) Techniques (1)

Keywords

zero-shot generalization (2) motion capture (2) humanoid control (2) reinforcement learning (1) stochastic gradient descent (1) imitation learning (1) model predictive control (1) gradient estimation (1) locality sensitive hashing (1) non-uniform sampling (1) world model (1) trajectory generation (1) unsupervised reinforcement learning (1) reward-free exploration (1) reasoning trace (1) latent token (1) self-supervised exploration (1) adaptive distribution (1) hybrid representation (1) state-action trajectory (1)

Papers

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning ICML 2025 Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models ICLR 2025 H-GAP: Humanoid Control with a Generalist Planner ICLR 2024 Learning General World Models in a Handful of Reward-Free Deployments NeurIPS 2022 Fast and Accurate Stochastic Gradient Estimation NeurIPS 2019