Hao Cheng

Orcid: 0000-0001-8864-7818

Affiliations:
  • Hong Kong Baptist University, Hong Kong
  • University of California, Santa Cruz, CA, USA (2022 - 2025)
  • Tencent Youtu Lab, China (2019 - 2022)
  • ShanghaiTech University, Shanghai, China (2016 - 2019)


According to our database1, Hao Cheng authored at least 7 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Demystifying How Self-Supervised Features Improve Training from Noisy Labels.
CoRR, 2021

2019
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification.
Entropy, 2019

Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane.
Proceedings of the Computer Vision - ECCV 2018, 2018


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