Yuejiang Liu - RankMe

31 papers A* 9A 1C 1Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies. CoRR Yinpei Dai, Hongze Fu, Jayjun Lee, Yuejiang Liu, Haoran Zhang, Jianing Yang, Chelsea Finn, Nima Fazeli, Joyce Chai
2026	J	`jnl`	Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment. CoRR Jacky Kwok, Xilun Zhang, Mengdi Xu, Yuejiang Liu, Azalia Mirhoseini, Chelsea Finn, Marco Pavone
2025	A*	`conf`	Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. ICLR Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn
2025	J	`jnl`	Curating Demonstrations using Online Experience. CoRR Annie S. Chen, Alec M. Lessing, Yuejiang Liu, Chelsea Finn
2025	J	`jnl`	Learning Long-Context Diffusion Policies via Past-Token Prediction. CoRR Marcel Torne, Andy Tang, Yuejiang Liu, Chelsea Finn
2025	J	`jnl`	Self-Guided Action Diffusion. CoRR Rhea Malhotra, Yuejiang Liu, Chelsea Finn
2025	A*	`conf`	Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations. CVPR Ahmad Rahimi, Po-Chien Luan, Yuejiang Liu, Frano Rajic, Alexandre Alahi
2025	A*	`conf`	TAROT: Targeted Data Selection via Optimal Transport. ICML Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi
2024	J	`jnl`	Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling. CoRR Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Maximilian Du, Chelsea Finn
2024	J	`jnl`	Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts. CoRR Yuejiang Liu, Alexandre Alahi
2024	J	`jnl`	Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models. CoRR Jifeng Wang, Kaouther Messaoud, Yuejiang Liu, Juergen Gall, Alexandre Alahi
2024	J	`jnl`	TAROT: Targeted Data Selection via Optimal Transport. CoRR Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi
2023	—	`conf`	Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CLeaR Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023	J	`jnl`	Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. CoRR Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello
2023	A*	`conf`	On Pitfalls of Test-Time Adaptation. ICML Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin
2023	J	`jnl`	On Pitfalls of Test-Time Adaptation. CoRR Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin
2023	J	`jnl`	Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations. CoRR Yuejiang Liu, Ahmad Rahimi, Po-Chien Luan, Frano Rajic, Alexandre Alahi
2022	Misc	`conf`	Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting. CoRL Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi
2022	J	`jnl`	Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting. CoRR Parth Kothari, Danya Li, Yuejiang Liu, Alexandre Alahi
2022	A*	`conf`	Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. CVPR Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi
2021	—	`conf`	Learning Decoupled Representations for Human Pose Forecasting. ICCVW Behnam Parsaeifard, Saeed Saadatnejad, Yuejiang Liu, Taylor Mordan, Alexandre Alahi
2021	A*	`conf`	Social NCE: Contrastive Learning of Socially-aware Motion Representations. ICCV Yuejiang Liu, Qi Yan, Alexandre Alahi
2021	A*	`conf`	TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS Yuejiang Liu, Parth Kothari, Bastien Van Delft, Baptiste Bellot-Gurlet, Taylor Mordan, Alexandre Alahi
2021	J	`jnl`	Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. CoRR Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi
2020	A*	`conf`	Collaborative Sampling in Generative Adversarial Networks. AAAI Yuejiang Liu, Parth Kothari, Alexandre Alahi
2020	J	`jnl`	Social NCE: Contrastive Learning of Socially-aware Motion Representations. CoRR Yuejiang Liu, Qi Yan, Alexandre Alahi
2019	J	`jnl`	Collaborative GAN Sampling. CoRR Yuejiang Liu, Parth Kothari, Alexandre Alahi
2019	A*	`conf`	Crowd-Robot Interaction: Crowd-Aware Robot Navigation With Attention-Based Deep Reinforcement Learning. ICRA Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi
2018	J	`jnl`	Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning. CoRR Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi
2018	A	`conf`	Map-based Deep Imitation Learning for Obstacle Avoidance. IROS Yuejiang Liu, An Xu, Zichong Chen
2017	C	`conf`	Real-time distributed algorithms for nonconvex optimal power flow. ACC Yuejiang Liu, Jean-Hubert Hours, Giorgos Stathopoulos, Colin N. Jones