| 2023 | ICCV | Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. | Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth |
| 2023 | ICCV | Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. | Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang |
| 2023 | WACV | Do Pre-trained Models Benefit Equally in Continual Learning? | Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang |
| 2021 | CVPR | DAP: Detection-Aware Pre-Training With Weak Supervision. | Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang |
| 2021 | ICCV | Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. | Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang |
| 2020 | ECCV | Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. | Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang |
| 2020 | ICASSP | Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. | Yuanyi Zhong, Alexander G. Schwing, Jian Peng |
| 2020 | WACV | Anchor Box Optimization for Object Detection. | Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang |
| 2018 | CVPR | Rethinking Feature Distribution for Loss Functions in Image Classification. | Weitao Wan, Yuanyi Zhong, Tianpeng Li, Jiansheng Chen |
| 2017 | AAAI | StructInf: Mining Structural Influence from Social Streams. | Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |