Hao Cheng

According to our database, Hao Cheng authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions.

Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Cheng, Chunhua Shen

CoRR, 2024

Floating Anchor Diffusion Model for Multi-motif Scaffolding.

Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Mitigating Memorization of Noisy Labels via Regularization between Representations.

Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.

Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RMNet: Equivalently Removing Residual Connection from Networks.

Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun

CoRR, 2021

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.

Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun

CoRR, 2021

On The Consistency Training for Open-Set Semi-Supervised Learning.

Huixiang Luo, Hao Cheng, Yuting Gao, Ke Li, Mengdan Zhang, Fanxu Meng, Xiaowei Guo, Feiyue Huang, Xing Sun

CoRR, 2021

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach.

Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning.

Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

One for More: Selecting Generalizable Samples for Generalizable ReID Model.

Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation.

Hao Cheng, Fanxu Meng, Ke Li, Huixiang Luo, Guangming Lu, Xiaowei Guo, Feiyue Huang, Xing Sun

CoRR, 2020

Pruning Filter in Filter.

Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians.

Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun

Proceedings of the Computer Vision - ECCV 2020, 2020

Filter Grafting for Deep Neural Networks.

Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification.

Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020