I am a Ph.D. student at University of California, Santa Cruz (UCSC), working with Professor Yang Liu. I am currently interested in fairness and weakly supervised learning (robust learning with noisy labels). Previously, I spent two years at YouTu Lab, Tencent, working with Ke Li and Xing Sun.


  • Research Intern at DAMO Academy, Alibaba from 2022.07 (working with Qingsong Wen, Liang Sun on Robust Time Series Forecasting)

Selected Publication (* denotes equal contribution)

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR 2021)
Hao cheng*, Zhaowei Zhu*, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu.
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Pruning Filter in Filter (NeurlPS 2020)
Fanxu Meng*, Hao Cheng*, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun.
paper code

Filter Grafting for Deep Neural Networks (CVPR 2020)
Fanxu Meng*, Hao Cheng*, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu.
paper code

Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane (ECCV 2018)
Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng.
paper code