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2020 – today
- 2023
[j1]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. Trans. Mach. Learn. Res. 2023 (2023)- [c10]Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely:
Tracking Everything Everywhere All at Once. ICCV 2023: 19738-19749 - [i12]Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman
, Michael Bussmann, Ulrich Schramm, Nico Hoffmann:
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. CoRR abs/2303.00657 (2023) - [i11]Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu:
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. CoRR abs/2303.06138 (2023) - [i10]Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely:
Tracking Everything Everywhere All at Once. CoRR abs/2306.05422 (2023) - 2022
- [c9]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CVPR 2022: 10588-10598 - [c8]Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas:
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CVPR 2022: 11840-11850 - [i9]Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu:
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. CoRR abs/2204.02389 (2022) - 2021
- [c7]Yen-Yu Chang, Meng-Cong Zheng:
Usability and Users Readability of Nuclear Evacuation Map Design. AHFE (17) 2021: 1029-1036 - [c6]Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. CoRL 2021: 466-476 - [c5]Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. ICLR 2021 - [c4]Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. WSDM 2021: 589-597 - [i8]Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. CoRR abs/2101.05974 (2021) - [i7]Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann:
Data-Driven Shadowgraph Simulation of a 3D Object. CoRR abs/2106.00317 (2021) - [i6]Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu:
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. CoRR abs/2109.07991 (2021) - [i5]Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas:
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CoRR abs/2112.09329 (2021) - 2020
- [i4]Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. CoRR abs/2011.04723 (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 - [i3]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) - 2018
- [c2]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) - 2013
- [c1]Shu-Ming Tseng, Yao-Teng Hsu, Yen-Yu Chang, Tseng-Chun Lee:
Software Baseband Optimization Except Channel Decoding for PC-Based DVB-T Software Radio Receiver. EMC/HumanCom 2013: 319-327
Coauthor Index
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