Yingchen Xu - RankMe

18 papers A* 6B 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fast Adaptation with Behavioral Foundation Models. CoRR Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta
2025	A*	`conf`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. ICML DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. CoRR DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	A*	`conf`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. ICLR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. CoRR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2024	A*	`conf`	H-GAP: Humanoid Control with a Generalist Planner. ICLR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2024	A*	`conf`	IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
2023	J	`jnl`	H-GAP: Humanoid Control with a Generalist Planner. CoRR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2023	J	`jnl`	IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
2022	A*	`conf`	Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Learning General World Models in a Handful of Reward-Free Deployments. CoRR Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
2022	B	`conf`	Looking into the past: Eye-tracking mental simulation in physical inference. CogSci Ari Beller, Yingchen Xu, Scott Linderman, Tobias Gerstenberg
2021	B	`conf`	Eye-Tracking Multi-Modal Inference. CogSci Ari Beller, Yingchen Xu, Tobias Gerstenberg
2019	A*	`conf`	Fast and Accurate Stochastic Gradient Estimation. NeurIPS Beidi Chen, Yingchen Xu, Anshumali Shrivastava
2019	J	`jnl`	Lsh-sampling Breaks the Computation Chicken-and-egg Loop in Adaptive Stochastic Gradient Estimation. CoRR Beidi Chen, Yingchen Xu, Anshumali Shrivastava
2018	—	`conf`	Lsh-Sampling breaks the Computational chicken-and-egg Loop in adaptive stochastic Gradient estimation. ICLR (Workshop) Beidi Chen, Yingchen Xu, Anshumali Shrivastava
2009	—	`conf`	An Ontology-Based Approach for Mobile Personalized Recommendation. SSME Yingchen Xu, Junzhong Gu, Jing Yang, Zhengyong Zhang
2009	—	`conf`	Event Based Semantic Location Model in Cooperative Mobile Computing. HIS (2) Zhengyong Zhang, Jing Yang, Junzhong Gu, Yingchen Xu