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Fan-Yun Sun
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2020 – today
- 2024
- [c11]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:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c10]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:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CVPR 2024: 16277-16287 - [c9]Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. EMNLP 2024: 8905-8915 - [i14]Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. CoRR abs/2406.02925 (2024) - [i13]Alex Zook, Fan-Yun Sun, Josef B. Spjut, Valts Blukis, Stan Birchfield, Jonathan Tremblay:
GRS: Generating Robotic Simulation Tasks from Real-World Images. CoRR abs/2410.15536 (2024) - 2023
- [c8]Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi:
Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data. EDM 2023 - [i12]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:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i11]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:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR abs/2312.09067 (2023) - 2022
- [c7]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. NeurIPS 2022 - [i10]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. CoRR abs/2208.10660 (2022) - 2021
- [c6]Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee:
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. NAACL-HLT 2021: 1559-1569 - [c5]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:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks 2021 - [i9]Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee:
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. CoRR abs/2103.16429 (2021) - [i8]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:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. CoRR abs/2106.08261 (2021) - [i7]Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon:
Equivariant Neural Network for Factor Graphs. CoRR abs/2109.14218 (2021) - 2020
- [c4]Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang:
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. ICLR 2020
2010 – 2019
- 2019
- [c3]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS 2019: 2201-2203 - [c2]Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS 2019: 512-522 - [i6]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR abs/1901.10059 (2019) - [i5]Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR abs/1906.07159 (2019) - [i4]Fan-Yun Sun, Jordan Hoffmann, Jian Tang:
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. CoRR abs/1908.01000 (2019) - [i3]Kuan-Lun Tseng, Winston H. Hsu, Chun-Ting Wu, Ya-Fang Shih, Fan-Yun Sun:
Organ At Risk Segmentation with Multiple Modality. CoRR abs/1910.07800 (2019) - 2018
- [c1]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES 2018: 297-302 - [i2]Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR abs/1809.02105 (2018) - [i1]Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR abs/1809.02112 (2018)
Coauthor Index
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