Software Baseband Optimization Except Channel Decoding for PC-Based DVB-T Software Radio Receiver. - Shu-Ming Tseng; Yao-Teng Hsu; Yen-Yu Chang; Tseng-Chun Lee (EMC/HumanCom, 2013)

Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. - Fan-Yun Sun; Yen-Yu Chang; Yueh-Hua Wu; Shou-De Lin (AIES, 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)

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 Regulation Enforcement Solution for Multi-agent Reinforcement Learning. - Fan-Yun Sun; Yen-Yu Chang; Yueh-Hua Wu; Shou-De Lin (AAMAS, 2019)

Usability and Users Readability of Nuclear Evacuation Map Design. - Yen-Yu Chang; Meng-Cong Zheng (AHFE (17), 2021)

ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations. - Ruohan Gao; Yen-Yu Chang; Shivani Mall; Li Fei-Fei 001; Jiajun Wu 001 (CoRL, 2021)

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. - Yanbang Wang; Yen-Yu Chang; Yunyu Liu; Jure Leskovec; Pan Li 005 (ICLR, 2021)

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. - Yen-Yu Chang; Pan Li 005; Rok Sosic; M. H. Afifi; Marco Schweighauser; Jure Leskovec (WSDM, 2021)

Data-Driven Shadowgraph Simulation of a 3D Object. - Anna Willmann; Patrick Stiller; Alexander Debus; Arie Irman; Richard Pausch; Yen-Yu Chang; Michael Bussmann; Nico Hoffmann (CoRR, 2021)

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. - Ruohan Gao; Zilin Si; Yen-Yu Chang; Samuel Clarke; Jeannette Bohg; Li Fei-Fei 001; Wenzhen Yuan 001; Jiajun Wu 001 (CVPR, 2022)

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. - Mikaela Angelina Uy; Yen-Yu Chang; Minhyuk Sung; Purvi Goel; Joseph Lambourne; Tolga Birdal; Leonidas J. Guibas (CVPR, 2022)

Tracking Everything Everywhere All at Once. - Qianqian Wang 002; Yen-Yu Chang; Ruojin Cai; Zhengqi Li; Bharath Hariharan; Aleksander Holynski; Noah Snavely (ICCV, 2023)

Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. - Anna Willmann; Jurjen Couperus Cabadag; Yen-Yu Chang; Richard Pausch; Amin Ghaith; Alexander Debus; Arie Irman; Michael Bussmann; Ulrich Schramm; Nico Hoffmann (CoRR, 2023)

Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. - Hong-Xing Yu; Michelle Guo; Alireza Fathi; Yen-Yu Chang; Eric Ryan Chan; Ruohan Gao; Thomas A. Funkhouser; Jiajun Wu 001 (Trans. Mach. Learn. Res., 2023)