Yilun Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
75
Venues
12
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
75 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint). | Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li |
| 2026 | ACL | Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions. | Minda Zhao, Yilun Du, Mengyu Wang |
| 2026 | ISPASS | Towards System-2 AI: Workloads and Characterizations of Energy-Based Models. | Hanchen Yang, Jiayi Qian, Zishen Wan, Jingtian Dang, Ziwei Li, Yilun Du, Tushar Krishna |
| 2025 | CVPR | 3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning. | Yuncong Yang, Han Yang, Jiachen Zhou, Peihao Chen, Hongxin Zhang, Yilun Du, Chuang Gan |
| 2025 | ICCV | SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI Feedback. | Elior Benarous, Yilun Du, Heng Yang |
| 2025 | ICCV | Learning 4D Embodied World Models. | Haoyu Zhen, Qiao Sun, Hongxin Zhang, Junyan Li, Siyuan Zhou, Yilun Du, Chuang Gan |
| 2025 | ICLR | AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. | Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan, Omer Bar-Tal, Jenq-Neng Hwang, Saining Xie, Christopher D. Manning |
| 2025 | ICLR | Looped Transformers for Length Generalization. | Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee |
| 2025 | ICLR | Grounding Video Models to Actions through Goal Conditioned Exploration. | Yunhao Luo, Yilun Du |
| 2025 | ICLR | Solving New Tasks by Adapting Internet Video Knowledge. | Calvin Luo, Zilai Zeng, Yilun Du, Chen Sun |
| 2025 | ICLR | Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. | Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch |
| 2025 | ICLR | COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. | Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Behzad Dariush, Kwonjoon Lee, Yilun Du, Chuang Gan |
| 2025 | ICML | AdaWorld: Learning Adaptable World Models with Latent Actions. | Shenyuan Gao, Siyuan Zhou, Yilun Du, Jun Zhang, Chuang Gan |
| 2025 | ICML | History-Guided Video Diffusion. | Kiwhan Song, Boyuan Chen, Max Simchowitz, Yilun Du, Russ Tedrake, Vincent Sitzmann |
| 2025 | ICML | Compositional Scene Understanding through Inverse Generative Modeling. | Yanbo Wang, Justin Dauwels, Yilun Du |
| 2025 | ICRA | Fast Policy Synthesis with Variable Noise Diffusion Models. | Sigmund H. Heg, Yilun Du, Olav Egeland |
| 2025 | ICRA | Anomalies-by-Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation. | Sunshine Jiang, Siddharth Ancha, Travis Manderson, Laura Brandt, Yilun Du, Philip R. Osteen, Nicholas Roy |
| 2025 | IROS | MoE-Loco: Mixture of Experts for Multitask Locomotion. | Runhan Huang, Shaoting Zhu, Yilun Du, Hang Zhao |
| 2025 | ICRA | Inference-Time Policy Steering Through Human Interactions. | Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Prez-D'Arpino, Dieter Fox, Julie Shah |
| 2025 | ISPASS | Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. | Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi |
| 2024 | CVPR | Wake-Sleep Energy Based Models for Continual Learning. | Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du |
| 2024 | ECCV | Large-Scale Reinforcement Learning for Diffusion Models. | Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk |
| 2024 | ICLR | Training Diffusion Models with Reinforcement Learning. | Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine |
| 2024 | ICLR | Video Language Planning. | Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson |
| 2024 | ICLR | Learning to Act from Actionless Videos through Dense Correspondences. | Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum |
| 2024 | ICLR | Learning to Jointly Understand Visual and Tactile Signals. | Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik |
| 2024 | ICLR | Compositional Generative Inverse Design. | Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec |
| 2024 | ICLR | Probabilistic Adaptation of Black-Box Text-to-Video Models. | Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel |
| 2024 | ICLR | Learning Interactive Real-World Simulators. | Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel |
| 2024 | ICLR | Building Cooperative Embodied Agents Modularly with Large Language Models. | Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan |
| 2024 | ICLR | HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. | Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan |
| 2024 | ICML | Improving Factuality and Reasoning in Language Models through Multiagent Debate. | Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch |
| 2024 | ICML | Position: Compositional Generative Modeling: A Single Model is Not All You Need. | Yilun Du, Leslie Pack Kaelbling |
| 2024 | ICML | Learning Iterative Reasoning through Energy Diffusion. | Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum |
| 2024 | ICML | Potential Based Diffusion Motion Planning. | Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du |
| 2024 | ICML | Compositional Image Decomposition with Diffusion Models. | Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du |
| 2024 | ICML | Position: Video as the New Language for Real-World Decision Making. | Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andr Barreto, Pieter Abbeel, Dale Schuurmans |
| 2024 | ICML | 3D-VLA: A 3D Vision-Language-Action Generative World Model. | Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, Chuang Gan |
| 2024 | ICML | RoboDreamer: Learning Compositional World Models for Robot Imagination. | Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung, Chuang Gan |
| 2024 | IROS | Disentangled Acoustic Fields For Multimodal Physical Scene Understanding. | Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan |
| 2023 | CoRL | Compositional Diffusion-Based Continuous Constraint Solvers. | Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | CVPR | Learning to Render Novel Views from Wide-Baseline Stereo Pairs. | Yilun Du, Cameron Smith, Ayush Tewari, Vincent Sitzmann |
| 2023 | CVPR | 3D Concept Learning and Reasoning from Multi-View Images. | Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan |
| 2023 | ICCV | Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. | Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba |
| 2023 | ICLR | Is Conditional Generative Modeling all you need for Decision Making? | Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal |
| 2023 | ICLR | Planning with Sequence Models through Iterative Energy Minimization. | Hongyi Chen, Yilun Du, Yiye Chen, Joshua B. Tenenbaum, Patricio A. Vela |
| 2023 | ICLR | Composing Ensembles of Pre-trained Models via Iterative Consensus. | Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch |
| 2023 | ICLR | Neural Groundplans: Persistent Neural Scene Representations from a Single Image. | Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frdo Durand, Joshua B. Tenenbaum, Vincent Sitzmann |
| 2023 | ICML | Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. | Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl |
| 2023 | ICML | Inferring Relational Potentials in Interacting Systems. | Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps |
| 2023 | ICRA | Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation. | Ethan Chun, Yilun Du, Anthony Simeonov, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2023 | ICRA | Visibility-Aware Navigation Among Movable Obstacles. | Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2022 | CoRL | MIRA: Mental Imagery for Robotic Affordances. | Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola |
| 2022 | CoRL | SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. | Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Toms Lozano-Prez, Pulkit Agrawal |
| 2022 | CVPR | Kubric: A scalable dataset generator. | Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz ztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi |
| 2022 | ECCV | Compositional Visual Generation with Composable Diffusion Models. | Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum |
| 2022 | ICML | Learning Iterative Reasoning through Energy Minimization. | Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch |
| 2022 | ICML | Planning with Diffusion for Flexible Behavior Synthesis. | Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine |
| 2022 | ICML | Streaming Inference for Infinite Feature Models. | Rylan Schaeffer, Yilun Du, Gabrielle K. Liu, Ila Fiete |
| 2022 | IROS | Learning Object-Based State Estimators for Household Robots. | Yilun Du, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2022 | IROS | Robust Change Detection Based on Neural Descriptor Fields. | Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard |
| 2022 | ICRA | Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. | Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann |
| 2021 | ICCV | Curious Representation Learning for Embodied Intelligence. | Yilun Du, Chuang Gan, Phillip Isola |
| 2021 | ICCV | Neural Radiance Flow for 4D View Synthesis and Video Processing. | Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | ICCV | Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. | Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell |
| 2021 | ICCV | 3D Shape Generation and Completion through Point-Voxel Diffusion. | Linqi Zhou, Yilun Du, Jiajun Wu |
| 2021 | ICLR | Unsupervised Discovery of 3D Physical Objects from Video. | Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | ICML | Improved Contrastive Divergence Training of Energy-Based Models. | Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch |
| 2020 | CoRL | A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. | Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez |
| 2020 | ICLR | Energy-based models for atomic-resolution protein conformations. | Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives |
| 2020 | ICLR | Observational Overfitting in Reinforcement Learning. | Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur |
| 2019 | CoRL | Model-Based Planning with Energy-Based Models. | Yilun Du, Toru Lin, Igor Mordatch |
| 2019 | ICML | Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. | Yilun Du, Karthik Narasimhan |
| 2017 | SIGMOD | Thomson Reuters' Solution for Triple Ranking in the FEIII 2017 Challenge. | Elizabeth Roman, Brian Ulicny, Yilun Du, Srijith Poduval, Allan Ko |
| 2017 | SIGMOD | Thomson Reuters' Submission to the FEIII 2017 Challenge Non-scored Tasks. | Elizabeth Roman, Brian Ulicny, Yilun Du, Srijith Poduval, Allan Ko |