Yujin Tang

According to our database, Yujin Tang authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter.

Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber

IEEE Trans. Games, June, 2024

Agent Skill Acquisition for Large Language Models via CycleQD.

So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang

CoRR, 2024

An Evolved Universal Transformer Memory.

Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang

CoRR, 2024

PredFormer: Transformers Are Effective Spatial-Temporal Predictive Learners.

Yujin Tang, Lu Qi, Fei Xie, Xiangtai Li, Chao Ma, Ming-Hsuan Yang

CoRR, 2024

Evolutionary Optimization of Model Merging Recipes.

Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Position: Leverage Foundational Models for Black-Box Optimization.

Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.

Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models As Evolution Strategies.

Robert T. Lange, Yingtao Tian, Yujin Tang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolution Transformer: In-Context Evolutionary Optimization.

Robert T. Lange, Yingtao Tian, Yujin Tang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.

Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Collective Intelligence for 2D Push Manipulations With Mobile Robots.

So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang

IEEE Robotics Autom. Lett., May, 2023

PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting.

Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang

CoRR, 2023

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting.

Zeying Gong, Yujin Tang, Junwei Liang

CoRR, 2023

NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications.

Robert Tjarko Lange, Yujin Tang, Yingtao Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards.

Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SayTap: Language to Quadrupedal Locomotion.

Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada

Proceedings of the Conference on Robot Learning, 2023

2022

Collective Intelligence for Object Manipulation with Mobile Robots.

So Kuroki, Tatsuya Matsushima, Jumpei Arima, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang

CoRR, 2022

EvoJAX: hardware-accelerated neuroevolution.

Yujin Tang, Yingtao Tian, David Ha

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evolving modular soft robots without explicit inter-module communication using local self-attention.

Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Collective Intelligence for Deep Learning: A Survey of Recent Developments.

David Ha, Yujin Tang

CoRR, 2021

The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning.

Yujin Tang, David Ha

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Application of Micro-CT in the Examination of the Influence of Different Intensities of Exercise on the Injury of Junction of Bone and Tendon.

Dinggui Lu, Qianli Tang, Jihua Wei, Fengying He, Yujin Tang

J. Medical Imaging Health Informatics, 2020

Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution.

Cheng Yuan, Yujin Tang, Dahong Qian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Agile Locomotion via Adversarial Training.

Yujin Tang, Jie Tan, Tatsuya Harada

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Neuroevolution of self-interpretable agents.

Yujin Tang, Duong Nguyen, David Ha

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2018

Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR.

Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Effects of objective feedback of facial expression recognition during video support chat.

Jianming Wu, Toshiyuki Hagiya, Yujin Tang, Keiichiro Hoashi

Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017

Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization.

Yujin Tang, Shinya Wada, Kiyohito Yoshihara

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Detecting Activities of Daily Living from Low Frequency Power Consumption Data.

Yujin Tang, Chihiro Ono

Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

Sequence-to-Sequence Model with Attention for Time Series Classification.

Yujin Tang, Jianfeng Xu, Kazunori Matsumoto, Chihiro Ono

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016