Fan-Yun Sun

According to our database, Fan-Yun Sun authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

GRS: Generating Robotic Simulation Tasks from Real-World Images.

Alex Zook, Fan-Yun Sun, Josef B. Spjut, Valts Blukis, Stan Birchfield, Jonathan Tremblay

CoRR, 2024

Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition.

Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Holodeck: Language Guided Generation of 3D Embodied AI Environments.

Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark

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

Partial-View Object View Synthesis via Filtering Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

Proceedings of the International Conference on 3D Vision, 2024

2023

Partial-View Object View Synthesis via Filtered Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

CoRR, 2023

Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data.

Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

Interaction Modeling with Multiplex Attention.

Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Equivariant Neural Network for Factor Graphs.

Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon

CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan

CoRR, 2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention.

Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.

Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Organ At Risk Segmentation with Multiple Modality.

Kuan-Lun Tseng, Winston H. Hsu, Chun-Ting Wu, Ya-Fang Shih, Fan-Yun Sun

CoRR, 2019

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.

Fan-Yun Sun, Jordan Hoffmann, Jian Tang

CoRR, 2019

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning.

Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.

Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models.

Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin

CoRR, 2018

A Memory-Network Based Solution for Multivariate Time-Series Forecasting.

Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin

CoRR, 2018

Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping.

Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018