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.
Pruning Filter in Filter (NeurlPS 2020)
Fanxu Meng*, Hao Cheng*, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun.
Filter Grafting for Deep Neural Networks (CVPR 2020)
Fanxu Meng*, Hao Cheng*, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu.
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane (ECCV 2018)
Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng.