Yixin Lin - RankMe

25 papers A* 5Misc 2Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control. ICML Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Atil Iscen, Antoine Laurens, Yixin Lin, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess
2025	J	`jnl`	Proc4Gem: Foundation models for physical agency through procedural generation. CoRR Yixin Lin, Jan Humplik, Sandy H. Huang, Leonard Hasenclever, Francesco Romano, Stefano Saliceti, Daniel Zheng, José Enrique Chen, Catarina Barros, Adrian Collister, Matt Young, Adil Dostmohamed, Ben Moran, Ken Caluwaerts, Marissa Giustina, Joss Moore, Kieran Connell, Francesco Nori, Nicolas Heess, Steven Bohez, Arunkumar Byravan
2025	J	`jnl`	Research on Traditional Pattern Generation Based on Adaptive Fusion Attention Mechanism. IEEE Access Jie Sun, Xiaojun Ding, Yixin Lin, Fengyuan Zou
2025	J	`jnl`	Speech Emotion Recognition via CNN-Transformer and multidimensional attention mechanism. Speech Commun. Xiaoyu Tang, Jiazheng Huang, Yixin Lin, Ting Dang, Jintao Cheng
2024	J	`jnl`	Test the configuration and color of 3D model space design with web multimedia interface. Multim. Tools Appl. Lung-Wen Kuo, Yixin Lin, Tsuiyueh Chang, Chih-Chun Lai
2023	A*	`conf`	Masked Trajectory Models for Prediction, Representation, and Control. ICML Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
2023	J	`jnl`	Masked Trajectory Models for Prediction, Representation, and Control. CoRR Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
2023	A*	`conf`	MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
2023	A*	`conf`	Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
2023	J	`jnl`	Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
2022	J	`jnl`	Differentiable and Learnable Robot Models. CoRR Franziska Meier, Austin S. Wang, Giovanni Sutanto, Yixin Lin, Paarth Shah
2022	J	`jnl`	Differential diagnosis of hepatocellular carcinoma and hepatic hemangioma based on maximum wavelet-coefficient statistics: Novel radiomics features from plain CT. Inf. Process. Manag. Jia-Jun Qiu, Jin Yin, Lin Ji, Chun-Yan Lu, Kang Li, Yong-Gang Zhang, Yixin Lin
2022	J	`jnl`	MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
2022	J	`jnl`	RB2: Robotic Manipulation Benchmarking with a Twist. CoRR Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
2022	Misc	`conf`	Transformers Are Adaptable Task Planners. CoRL Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai
2022	J	`jnl`	Transformers are Adaptable Task Planners. CoRR Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai
2022	A*	`conf`	Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. ICML Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh
2021	J	`jnl`	Efficient and Interpretable Robot Manipulation with Graph Neural Networks. CoRR Yixin Lin, Austin S. Wang, Akshara Rai
2021	—	`conf`	RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
2020	—	`conf`	Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. L4DC Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
2020	J	`jnl`	Encoding Physical Constraints in Differentiable Newton-Euler Algorithm. CoRR Giovanni Sutanto, Austin S. Wang, Yixin Lin, Mustafa Mukadam, Gaurav S. Sukhatme, Akshara Rai, Franziska Meier
2020	J	`jnl`	Learning State-Dependent Losses for Inverse Dynamics Learning. CoRR Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
2019	Misc	`conf`	Curious iLQR: Resolving Uncertainty in Model-based RL. CoRL Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier
2019	J	`jnl`	Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier
2018	—	`conf`	An Adaptive Passive Radio Map Construction for Indoor WLAN Intrusion Detection. CSPS (2) Yixin Lin, Wei Nie, Mu Zhou, Yong Wang, Zengshan Tian