Yen-Yu Chang

25 papers A* 4A 2C 1Misc 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models.
CoRR
Riccardo de Lutio, Tobias Fischer, Yen-Yu Chang, Yuxuan Zhang, Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Katarína Tóthová, Zan Gojcic, Haithem Turki
2026 J jnl
DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer.
CoRR
Yuxuan Zhang, Katarína Tóthová, Zian Wang, Kangxue Yin, Haithem Turki, Riccardo de Lutio, Yen-Yu Chang, Or Litany, Sanja Fidler, Zan Gojcic
2023 J jnl
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows.
CoRR
Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman, Michael Bussmann, Ulrich Schramm, Nico Hoffmann
2023 J jnl
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition.
CoRR
Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu
2023 J jnl
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition.
Trans. Mach. Learn. Res.
Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu
2023 A* conf
Tracking Everything Everywhere All at Once.
ICCV
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
2023 J jnl
Tracking Everything Everywhere All at Once.
CoRR
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
2022 A* conf
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer.
CVPR
Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu
2022 J jnl
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer.
CoRR
Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu
2022 A* conf
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.
CVPR
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
2021 J jnl
Data-Driven Shadowgraph Simulation of a 3D Object.
CoRR
Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann
2021 A conf
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams.
WSDM
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec
2021 A* conf
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.
ICLR
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
2021 J jnl
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.
CoRR
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
2021 Misc conf
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations.
CoRL
Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu
2021 J jnl
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations.
CoRR
Ruohan Gao, Yen-Yu Chang, Shivani Mall, Li Fei-Fei, Jiajun Wu
2021 J jnl
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.
CoRR
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
2021 — conf
Usability and Users Readability of Nuclear Evacuation Map Design.
AHFE (17)
Yen-Yu Chang, Meng-Cong Zheng
2020 J jnl
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams.
CoRR
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec
2019 A conf
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.
AAMAS
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
2019 J jnl
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.
CoRR
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
2018 J jnl
A Memory-Network Based Solution for Multivariate Time-Series Forecasting.
CoRR
Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin
2018 J jnl
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models.
CoRR
Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin
2018 C conf
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping.
AIES
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
2013 — conf
Software Baseband Optimization Except Channel Decoding for PC-Based DVB-T Software Radio Receiver.
EMC/HumanCom
Shu-Ming Tseng, Yao-Teng Hsu, Yen-Yu Chang, Tseng-Chun Lee