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Yujin Tang
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2020 – today
- 2024
- [j3]Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber:
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter. IEEE Trans. Games 16(2): 384-395 (2024) - [c20]Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang:
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CVPR Workshops 2024: 5663-5673 - [c19]Robert T. Lange, Yingtao Tian, Yujin Tang:
Evolution Transformer: In-Context Evolutionary Optimization. GECCO Companion 2024: 575-578 - [c18]Robert T. Lange, Yingtao Tian, Yujin Tang:
Large Language Models As Evolution Strategies. GECCO Companion 2024: 579-582 - [c17]Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao:
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. ICML 2024 - [c16]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. ICML 2024 - [c15]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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i20]Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao:
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR abs/2402.04644 (2024) - [i19]Robert Tjarko Lange, Yingtao Tian, Yujin Tang:
Large Language Models As Evolution Strategies. CoRR abs/2402.18381 (2024) - [i18]Robert Tjarko Lange, Yingtao Tian, Yujin Tang:
Evolution Transformer: In-Context Evolutionary Optimization. CoRR abs/2403.02985 (2024) - [i17]Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha:
Evolutionary Optimization of Model Merging Recipes. CoRR abs/2403.13187 (2024) - [i16]Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang:
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CoRR abs/2403.16536 (2024) - [i15]Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen:
Position: Leverage Foundational Models for Black-Box Optimization. CoRR abs/2405.03547 (2024) - [i14]Yujin Tang, Lu Qi, Fei Xie, Xiangtai Li, Chao Ma, Ming-Hsuan Yang:
PredFormer: Transformers Are Effective Spatial-Temporal Predictive Learners. CoRR abs/2410.04733 (2024) - 2023
- [j2]So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang:
Collective Intelligence for 2D Push Manipulations With Mobile Robots. IEEE Robotics Autom. Lett. 8(5): 2820-2827 (2023) - [c14]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRL 2023: 3556-3570 - [c13]Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. IJCAI 2023: 4289-4298 - [c12]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. NeurIPS 2023 - [i13]Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko:
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. CoRR abs/2304.10770 (2023) - [i12]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRR abs/2306.07580 (2023) - [i11]Zeying Gong, Yujin Tang, Junwei Liang:
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting. CoRR abs/2310.00655 (2023) - [i10]Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang:
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting. CoRR abs/2310.02676 (2023) - [i9]Robert Tjarko Lange, Yujin Tang, Yingtao Tian:
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications. CoRR abs/2311.02394 (2023) - 2022
- [c11]Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha:
Evolving modular soft robots without explicit inter-module communication using local self-attention. GECCO 2022: 148-157 - [c10]Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: hardware-accelerated neuroevolution. GECCO Companion 2022: 308-311 - [i8]Yujin Tang, Yingtao Tian, David Ha:
EvoJAX: Hardware-Accelerated Neuroevolution. CoRR abs/2202.05008 (2022) - [i7]Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha:
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention. CoRR abs/2204.06481 (2022) - [i6]Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber:
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter. CoRR abs/2208.03374 (2022) - [i5]So Kuroki, Tatsuya Matsushima, Jumpei Arima, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang:
Collective Intelligence for Object Manipulation with Mobile Robots. CoRR abs/2211.15136 (2022) - 2021
- [c9]Yujin Tang, David Ha:
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning. NeurIPS 2021: 22574-22587 - [i4]Yujin Tang, David Ha:
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning. CoRR abs/2109.02869 (2021) - [i3]David Ha, Yujin Tang:
Collective Intelligence for Deep Learning: A Survey of Recent Developments. CoRR abs/2111.14377 (2021) - 2020
- [j1]Dinggui Lu, Qianli Tang, Jihua Wei, Fengying He, Yujin Tang:
Application of Micro-CT in the Examination of the Influence of Different Intensities of Exercise on the Injury of Junction of Bone and Tendon. J. Medical Imaging Health Informatics 10(4): 826-831 (2020) - [c8]Yujin Tang, Duong Nguyen, David Ha:
Neuroevolution of self-interpretable agents. GECCO 2020: 414-424 - [c7]Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. IROS 2020: 6098-6105 - [c6]Cheng Yuan, Yujin Tang, Dahong Qian:
Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution. MICCAI (2) 2020: 263-271 - [i2]Yujin Tang, Duong Nguyen, David Ha:
Neuroevolution of Self-Interpretable Agents. CoRR abs/2003.08165 (2020) - [i1]Yujin Tang, Jie Tan, Tatsuya Harada:
Learning Agile Locomotion via Adversarial Training. CoRR abs/2008.00603 (2020)
2010 – 2019
- 2018
- [c5]Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. PAKDD (3) 2018: 322-334 - 2017
- [c4]Yujin Tang, Shinya Wada, Kiyohito Yoshihara:
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization. ICDM Workshops 2017: 79-86 - [c3]Jianming Wu, Toshiyuki Hagiya, Yujin Tang, Keiichiro Hoashi:
Effects of objective feedback of facial expression recognition during video support chat. MUM 2017: 293-297 - 2016
- [c2]Yujin Tang, Jianfeng Xu, Kazunori Matsumoto, Chihiro Ono:
Sequence-to-Sequence Model with Attention for Time Series Classification. ICDM Workshops 2016: 503-510 - [c1]Yujin Tang, Chihiro Ono:
Detecting Activities of Daily Living from Low Frequency Power Consumption Data. MobiQuitous 2016: 38-46
Coauthor Index
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last updated on 2024-11-13 23:47 CET by the dblp team
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