| Inductive representation learning in temporal networks via causal anonymous walks Y Wang, YY Chang, Y Liu, J Leskovec, P Li arXiv preprint arXiv:2101.05974, 2021 | 189 | 2021 |
| A memory-network based solution for multivariate time-series forecasting YY Chang, FY Sun, YH Wu, SD Lin arXiv preprint arXiv:1809.02105, 2018 | 86 | 2018 |
| Objectfolder: A dataset of objects with implicit visual, auditory, and tactile representations R Gao, YY Chang, S Mall, L Fei-Fei, J Wu arXiv preprint arXiv:2109.07991, 2021 | 54 | 2021 |
| Tracking everything everywhere all at once Q Wang, YY Chang, R Cai, Z Li, B Hariharan, A Holynski, N Snavely Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 45 | 2023 |
| F-fade: Frequency factorization for anomaly detection in edge streams YY Chang, P Li, R Sosic, MH Afifi, M Schweighauser, J Leskovec Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 41 | 2021 |
| Objectfolder 2.0: A multisensory object dataset for sim2real transfer R Gao, Z Si, YY Chang, S Clarke, J Bohg, L Fei-Fei, W Yuan, J Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 34 | 2022 |
| Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders MA Uy, YY Chang, M Sung, P Goel, JG Lambourne, T Birdal, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 32 | 2022 |
| Designing non-greedy reinforcement learning agents with diminishing reward shaping FY Sun, YY Chang, YH Wu, SD Lin Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 297-302, 2018 | 13 | 2018 |
| Learning object-centric neural scattering functions for free-viewpoint relighting and scene composition HX Yu, M Guo, A Fathi, YY Chang, ER Chan, R Gao, T Funkhouser, J Wu arXiv preprint arXiv:2303.06138, 2023 | 11 | 2023 |
| A regulation enforcement solution for multi-agent reinforcement learning FY Sun, YY Chang, YH Wu, SD Lin arXiv preprint arXiv:1901.10059, 2019 | 5 | 2019 |
| ANS: adaptive network scaling for deep rectifier reinforcement learning models YH Wu, FY Sun, YY Chang, SD Lin arXiv preprint arXiv:1809.02112, 2018 | 5 | 2018 |
| Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders M Angelina Uy, Y Chang, M Sung, P Goel, J Lambourne, T Birdal, ... arXiv e-prints, arXiv: 2112.09329, 2021 | | 2021 |
| Tracking Everything Everywhere All At Once–Supplementary Material– Q Wang, YY Chang, R Cai, Z Li, B Hariharan, A Holynski, N Snavely | | |
| OBJECTFOLDER 2.0: A Multisensory Object Dataset for Sim2Real Transfer (Supplementary Materials) R Gao, Z Si, YY Chang, S Clarke, J Bohg, L Fei-Fei, W Yuan, J Wu | | |
