Yujin Tang

73 papers A* 12A 4B 1C 1Misc 1Journal 45Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Digital Red Queen: Adversarial Program Evolution in Core War with LLMs.
CoRR
Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, Phillip Isola, Sebastian Risi, Yujin Tang, David Ha
2026 J jnl
Evolutionary Context Search for Automated Skill Acquisition.
CoRR
Qi Sun, Stefan Nielsen, Rio Yokota, Yujin Tang
2026 J jnl
SAIL: Test-Time Scaling for In-Context Imitation Learning with VLM.
CoRR
Makoto Sato, Yusuke Iwasawa, Yujin Tang, So Kuroki
2026 J jnl
Video Prediction Transformers without Recurrence or Convolution.
Trans. Mach. Learn. Res.
Yujin Tang, Lu Qi, Xiangtai Li, Chao Ma, Ming-Hsuan Yang
2025 A* conf
Agent Skill Acquisition for Large Language Models via CycleQD.
ICLR
So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang
2025 A* conf
An Evolved Universal Transformer Memory.
ICLR
Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang
2025 J jnl
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting.
CoRR
Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun
2025 A conf
Competition and Attraction Improve Model Fusion.
GECCO
João Abrantes, Robert T. Lange, Yujin Tang
2025 J jnl
Competition and Attraction Improve Model Fusion.
CoRR
João Abrantes, Robert Tjarko Lange, Yujin Tang
2025 — conf
Evolution of Neural Networks.
GECCO Companion
Risto Miikkulainen, Sebastian Risi, David Ha, Yujin Tang
2025 J jnl
Evolutionary optimization of model merging recipes.
Nat. Mac. Intell.
Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha
2025 J jnl
KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI.
CoRR
So Kuroki, Yotaro Kubo, Takuya Akiba, Yujin Tang
2025 A* conf
Large Language Models to Diffusion Finetuning.
ICML
Edoardo Cetin, Tianyu Zhao, Yujin Tang
2025 J jnl
Large Language Models to Diffusion Finetuning.
CoRR
Edoardo Cetin, Tianyu Zhao, Yujin Tang
2025 J jnl
Learning to Orchestrate Agents in Natural Language with the Conductor.
CoRR
Stefan Nielsen, Edoardo Cetin, Peter Schwendeman, Qi Sun, Jinglue Xu, Yujin Tang
2025 A* conf
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition.
CVPR
Fei Xie, Jiahao Nie, Yujin Tang, Wenkang Zhang, Hongshen Zhao
2025 J jnl
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition.
CoRR
Fei Xie, Jiahao Nie, Yujin Tang, Wenkang Zhang, Hongshen Zhao
2025 J jnl
Reimagining Agent-based Modeling with Large Language Model Agents via Shachi.
CoRR
So Kuroki, Yingtao Tian, Kou Misaki, Takashi Ikegami, Takuya Akiba, Yujin Tang
2025 J jnl
Reinforcement Learning Teachers of Test Time Scaling.
CoRR
Edoardo Cetin, Tianyu Zhao, Yujin Tang
2025 J jnl
TRINITY: An Evolved LLM Coordinator.
CoRR
Jinglue Xu, Qi Sun, Peter Schwendeman, Stefan Nielsen, Edoardo Cetin, Yujin Tang
2025 A* conf
Text-to-LoRA: Instant Transformer Adaption.
ICML
Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
2025 J jnl
Text-to-LoRA: Instant Transformer Adaption.
CoRR
Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
2025 J jnl
Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization.
CoRR
Robert Tjarko Lange, Qi Sun, Aaditya Prasad, Maxence Faldor, Yujin Tang, David Ha
2025 A* conf
Transformer-Squared: Self-adaptive LLMs.
ICLR
Qi Sun, Edoardo Cetin, Yujin Tang
2025 J jnl
Transformer-Squared: Self-adaptive LLMs.
CoRR
Qi Sun, Edoardo Cetin, Yujin Tang
2025 J jnl
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning.
CoRR
Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che
2024 J jnl
Agent Skill Acquisition for Large Language Models via CycleQD.
CoRR
So Kuroki, Taishi Nakamura, Takuya Akiba, Yujin Tang
2024 J jnl
An Evolved Universal Transformer Memory.
CoRR
Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang
2024 J jnl
Automating the Search for Artificial Life with Foundation Models.
CoRR
Akarsh Kumar, Chris Lu, Louis Kirsch, Yujin Tang, Kenneth O. Stanley, Phillip Isola, David Ha
2024 — conf
Evolution Transformer: In-Context Evolutionary Optimization.
GECCO Companion
Robert T. Lange, Yingtao Tian, Yujin Tang
2024 J jnl
Evolution Transformer: In-Context Evolutionary Optimization.
CoRR
Robert Tjarko Lange, Yingtao Tian, Yujin Tang
2024 J jnl
Evolution of Collective AI Beyond Individual Optimization.
CoRR
Ryosuke Takata, Yujin Tang, Yingtao Tian, Norihiro Maruyama, Hiroki Kojima, Takashi Ikegami
2024 J jnl
Evolutionary Optimization of Model Merging Recipes.
CoRR
Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha
2024 A* conf
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.
ICML
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2024 J jnl
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.
CoRR
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2024 — conf
Large Language Models As Evolution Strategies.
GECCO Companion
Robert T. Lange, Yingtao Tian, Yujin Tang
2024 J jnl
Large Language Models As Evolution Strategies.
CoRR
Robert Tjarko Lange, Yingtao Tian, Yujin Tang
2024 J jnl
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter.
IEEE Trans. Games
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
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 E. 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 T. 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-Gomez, 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
2024 A* conf
Position: Leverage Foundational Models for Black-Box Optimization.
ICML
Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024 J jnl
Position: Leverage Foundational Models for Black-Box Optimization.
CoRR
Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo Lee, Yujin Tang, Yutian Chen
2024 J jnl
PredFormer: Transformers Are Effective Spatial-Temporal Predictive Learners.
CoRR
Yujin Tang, Lu Qi, Fei Xie, Xiangtai Li, Chao Ma, Ming-Hsuan Yang
2024 — conf
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
CVPR Workshops
Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2024 J jnl
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
CoRR
Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2023 J jnl
Collective Intelligence for 2D Push Manipulations With Mobile Robots.
IEEE Robotics Autom. Lett.
So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang
2023 A* conf
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards.
IJCAI
Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko
2023 J jnl
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards.
CoRR
Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko
2023 A* conf
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications.
NeurIPS
Robert Tjarko Lange, Yujin Tang, Yingtao Tian
2023 J jnl
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications.
CoRR
Robert Tjarko Lange, Yujin Tang, Yingtao Tian
2023 J jnl
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting.
CoRR
Zeying Gong, Yujin Tang, Junwei Liang
2023 J jnl
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting.
CoRR
Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang
2023 Misc conf
SayTap: Language to Quadrupedal Locomotion.
CoRL
Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada
2023 J jnl
SayTap: Language to Quadrupedal Locomotion.
CoRR
Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada
2022 J jnl
Collective Intelligence for Object Manipulation with Mobile Robots.
CoRR
So Kuroki, Tatsuya Matsushima, Jumpei Arima, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang
2022 J jnl
EvoJAX: Hardware-Accelerated Neuroevolution.
CoRR
Yujin Tang, Yingtao Tian, David Ha
2022 — conf
EvoJAX: hardware-accelerated neuroevolution.
GECCO Companion
Yujin Tang, Yingtao Tian, David Ha
2022 J jnl
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention.
CoRR
Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha
2022 A conf
Evolving modular soft robots without explicit inter-module communication using local self-attention.
GECCO
Federico Pigozzi, Yujin Tang, Eric Medvet, David Ha
2022 J jnl
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter.
CoRR
Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber
2021 J jnl
Collective Intelligence for Deep Learning: A Survey of Recent Developments.
CoRR
David Ha, Yujin Tang
2021 A* conf
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning.
NeurIPS
Yujin Tang, David Ha
2021 J jnl
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning.
CoRR
Yujin Tang, David Ha
2020 J jnl
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
Dinggui Lu, Qianli Tang, Jihua Wei, Fengying He, Yujin Tang
2020 A conf
Learning Agile Locomotion via Adversarial Training.
IROS
Yujin Tang, Jie Tan, Tatsuya Harada
2020 J jnl
Learning Agile Locomotion via Adversarial Training.
CoRR
Yujin Tang, Jie Tan, Tatsuya Harada
2020 J jnl
Neuroevolution of Self-Interpretable Agents.
CoRR
Yujin Tang, Duong Nguyen, David Ha
2020 A conf
Neuroevolution of self-interpretable agents.
GECCO
Yujin Tang, Duong Nguyen, David Ha
2020 — conf
Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution.
MICCAI (2)
Cheng Yuan, Yujin Tang, Dahong Qian
2018 — conf
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR.
PAKDD (3)
Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara
2017 B conf
Effects of objective feedback of facial expression recognition during video support chat.
MUM
Jianming Wu, Toshiyuki Hagiya, Yujin Tang, Keiichiro Hoashi
2017 — conf
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization.
ICDM Workshops
Yujin Tang, Shinya Wada, Kiyohito Yoshihara
2016 C conf
Detecting Activities of Daily Living from Low Frequency Power Consumption Data.
MobiQuitous
Yujin Tang, Chihiro Ono
2016 — conf
Sequence-to-Sequence Model with Attention for Time Series Classification.
ICDM Workshops
Yujin Tang, Jianfeng Xu, Kazunori Matsumoto, Chihiro Ono