Chen Zhao

According to our database, Chen Zhao authored at least 21 papers between 2019 and 2023.

Collaborative distances:

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

2023

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective.

Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen

CoRR, 2023

An Automated Vulnerability Detection Framework for Smart Contracts.

Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf Md. Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham

CoRR, 2023

2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making.

Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Fair Disentangled Online Learning for Changing Environments.

Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI).

Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multi-Label Temporal Evidential Neural Networks for Early Event Detection.

Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen

Proceedings of the IEEE International Conference on Acoustics, 2023

Open Set Action Recognition via Multi-Label Evidential Learning.

Chen Zhao, Dawei Du, Anthony Hoogs, Christopher Funk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adaptation Speed Analysis for Fairness-aware Causal Models.

Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.

Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection.

Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments.

Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22).

Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Nested Bi-level Optimization Framework for Robust Few Shot Learning.

KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining.

Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fairness-Aware Online Meta-learning.

Chen Zhao, Feng Chen, Bhavani Thuraisingham

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning.

Feng Mi, Zhuoyi Wang, Chen Zhao, Jinghui Guo, Fawaz Ahmed, Latifur Khan

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

2020

A Reweighted Meta Learning Framework for Robust Few Shot Learning.

KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen

CoRR, 2020

A Primal-Dual Subgradient Approach for Fair Meta Learning.

Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Fair Meta-Learning For Few-Shot Classification.

Chen Zhao, Changbin Li, Jincheng Li, Feng Chen

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Unfairness Discovery and Prevention For Few-Shot Regression.

Chen Zhao, Feng Chen

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Rank-Based Multi-task Learning for Fair Regression.

Chen Zhao, Feng Chen

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019