StructInf: Mining Structural Influence from Social Streams. - Jing Zhang 001; Jie Tang 001; Yuanyi Zhong; Yuchen Mo; Juanzi Li; Guojie Song; Wendy Hall 001; Jimeng Sun 001 (AAAI, 2017)

Towards End-to-End Face Recognition through Alignment Learning. - Yuanyi Zhong; Jiansheng Chen; Bo Huang (CoRR, 2017)

Toward End-to-End Face Recognition Through Alignment Learning. - Yuanyi Zhong; Jiansheng Chen; Bo Huang (IEEE Signal Process. Lett., 2017)

Rethinking Feature Distribution for Loss Functions in Image Classification. - Weitao Wan; Yuanyi Zhong; Tianpeng Li; Jiansheng Chen (CVPR, 2018)

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning. - Yang Liu 097; Yunan Luo; Yuanyi Zhong; Xi Chen; Qiang Liu 001; Jian Peng 001 (CoRR, 2019)

Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. - Yuanyi Zhong; Jianfeng Wang; Jian Peng 001; Lei Zhang 001 (ECCV (26), 2020)

Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. - Yuanyi Zhong; Alexander G. Schwing; Jian Peng 001 (ICASSP, 2020)

Anchor Box Optimization for Object Detection. - Yuanyi Zhong; Jianfeng Wang; Jian Peng 001; Lei Zhang 001 (WACV, 2020)

Efficient Competitive Self-Play Policy Optimization. - Yuanyi Zhong; Yuan Zhou 007; Jian Peng 001 (CoRR, 2020)

DAP: Detection-Aware Pre-Training With Weak Supervision. - Yuanyi Zhong; Jianfeng Wang; Lijuan Wang; Jian Peng 001; Yu-Xiong Wang; Lei Zhang 001 (CVPR, 2021)

Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. - Yuanyi Zhong; Bodi Yuan; Hong Wu; Zhiqiang Yuan; Jian Peng 001; Yu-Xiong Wang (ICCV, 2021)

Coordinate-wise Control Variates for Deep Policy Gradients. - Yuanyi Zhong; Yuan Zhou 007; Jian Peng 001 (CoRR, 2021)

SIRfyN: Single Image Relighting from your Neighbors. - David A. Forsyth; Anand Bhattad; Pranav Asthana; Yuanyi Zhong; Yu-Xiong Wang (CoRR, 2021)

Is Self-Supervised Learning More Robust Than Supervised Learning? - Yuanyi Zhong; Haoran Tang; Jun-Kun Chen; Jian Peng 001; Yu-Xiong Wang (CoRR, 2022)

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. - Yuanyi Zhong; Anand Bhattad; Yu-Xiong Wang; David A. Forsyth (ICCV, 2023)

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. - Yuanyi Zhong; Haoran Tang; Jun-Kun Chen; Yu-Xiong Wang (ICCV, 2023)

YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. - Andy Zhou; Samuel Li; Pranav Sriram; Xiang Li; Jiahua Dong 002; Ansh Sharma; Yuanyi Zhong; Shirui Luo; Volodymyr V. Kindratenko; George Heintz; Christopher M. Zallek; Yu-Xiong Wang (NeurIPS, 2023)

Do Pre-trained Models Benefit Equally in Continual Learning? - Kuan-Ying Lee; Yuanyi Zhong; Yu-Xiong Wang (WACV, 2023)

Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification. - Weitao Wan; Cheng Yu; Jiansheng Chen; Tong Wu; Yuanyi Zhong; Ming-Hsuan Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)