Yen-Yu Chang

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 21

Top Topics

Learning Models

Reinforcement Learning

Top Venues

Publications

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 (2023)
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
Tracking Everything Everywhere All at Once. CoRR (2023)
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)
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 (2023)
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
Tracking Everything Everywhere All at Once. ICCV (2023)
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)
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 (2022)
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)
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 (2021)
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. ICLR (2021)
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. CoRR (2021)
Yen-Yu Chang, Meng-Cong Zheng
Usability and Users Readability of Nuclear Evacuation Map Design. AHFE (17) (2021)
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)
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)
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 (2021)
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 (2020)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR (2019)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS (2019)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES (2018)
Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR (2018)
Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR (2018)
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)