Research
Ethical Artificial Intelligence
Data Mining
Machine Learning
Computer Science, Computer Sciences, Computational Science
Computer Vision
Data Science, Data Sciences
Causal Models
Smart Contracts, Smart Contract
Meta Learning
Distribution Nodes
Deep Learning
Algorithmic Fairness
Diffusion Model, Diffusion Models
Diffusion Probabilistic Models
Distribution Shifts
Deep Neural Networks
Optimization Framework
Shot Learning
Plasma Membrane
Satellite Imagery
Spatio Temporal Shift
List of Publications (49)
In 2024
49
Graphs Generalization under Distribution Shifts. Q Tian, W Wang, C Zhao, M Shao, W Zhang, D Li arXiv preprint arXiv:2403.16334, 2024.
Found on Publication Page
48
3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). X Zhao, C Zhao, F Chen, JH Cho, W Hua, H Chen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and ..., 2024.
Found on Publication Page
47
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. D Li, C Zhao, M Shao, W Wang In Proceedings of the Conference on Information and Knowledge Management, 2024.
Found on Publication Page
46
3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). C Zhao, F Chen, X Wu, J Li, H Chen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and ..., 2024.
Found on Publication Page
45
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. C Zhao, K Jiang, X Wu, H Wang, L Khan, C Grant, F Chen In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data ..., 2024.
Found on Publication Page
44
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. Y Lin, C Zhao, M Shao, B Meng, X Zhao, H Chen In Proceedings of the 33rd International Joint Conference on Artificial ..., 2024.
Found on Publication Page
43
Uncovering Bias in Building Damage Assessment from Satellite Imagery. D Melamed, C Johnson, ID Gerg, C Zhao, R Blue, A Hoogs, B Clipp, ... IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium ..., 2024.
Found on Publication Page
42
Semantic OOD Detection under Covariate Shift on Graphs with Diffusion Model. Z He, C Zhao, M Shao, Y Lin, D Li KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, 2024.
Found on Publication Page
41
IDGG: Invariant Learning for Out-of-Distribution Generalization on Graphs. Q Tian, W Wang, M Shao, C Zhao, D Li KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, 2024.
Found on Publication Page
40
HyperDG: A Hypergraph-Based Approach for Dy- namic Graph Node Classification under Spatio-Temporal Shift. X Ma, C Zhao, M Shao KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, 2024.
Found on Publication Page
39
Out-of-Distribution Detection for Heterogeneous Graph Neural Networks. T Yin, C Zhao, M Shao KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, 2024.
Found on Publication Page
38
Fair Data Generation via Score-based Diffusion Model. Y Lin, D Li, C Zhao, M Shao KDD Workshop on Ethical Artificial Intelligence: Methods and Applications, 2024.
Found on Publication Page
37
Supervised Algorithmic Fairness in Distribution Shifts: A Survey. M Shao, D Li, C Zhao, X Wu, Y Lin, Q Tian In Proceedings of the 33rd International Joint Conference on Artificial ..., 2024.
Found on Publication Page
36
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. C Zhao, F Mi, X Wu, K Jiang, L Khan, F Chen ACM Transactions on Knowledge Discovery from Data 18 (6), 1-23, 2024.
Found on Publication Page
35
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. A Komanduri, C Zhao, F Chen, X Wu arXiv preprint arXiv:2404.17735, 2024.
Found on Publication Page
In 2023
34
Adaptation Speed Analysis for Fairness-aware Causal Models. Y Lin, C Zhao, M Shao, X Zhao, H Chen In Proceedings of the ACM International Conference on Information and ..., 2023.
Found on Publication Page
33
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. H Wang, C Zhao, Y Guo, K Jiang, F Chen arXiv:2309.10209, 2023.
Found on Publication Page
32
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. D Li, W Wang, M Shao, C Zhao In Proceedings of the ACM International Conference on Information and ..., 2023.
Found on Publication Page
31
2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. X Zhao, C Zhao, F Chen, JH Cho, H Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and ..., 2023.
Found on Publication Page
30
Achieving Counterfactual Fairness in Changing Environments via Sequential Autoencoder. Y Lin, C Zhao, M Shao, X Zhao, B Meng, H Chen NeurIPS Workshop on Algorithmic Fairness through the Lens of Time (AFT), 2023.
Found on Publication Page
29
Learning Fair and Domain Generalization Representation. D Li, C Zhao, M Shao, X Zhao KDD workshop on Ethical Artificial Intelligence: Methods and Applications (EAI), 2023.
Found on Publication Page
28
Adaptation Speed of Causal Models Concerning Fairness. Y Lin, C Zhao, M Shao, X Zhao, H Chen KDD workshop on Ethical Artificial Intelligence: Methods and Applications (EAI), 2023.
Found on Publication Page
27
Open Set Action Recognition via Multi-Label Evidential Learning Supplementary Materials. C Zhao, D Du, A Hoogs, C Funk In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ..., 2023.
Found on Publication Page
26
Detecting Multi-Label Out-of- Distribution Nodes on Graphs. R Ding, X Zhao, C Zhao, M Shao AAAI workshop on Uncertainty Reasoning and Quantification in Decision Making ..., 2023.
Found on Publication Page
25
Open Set Action Recognition via Multi-Label Evidential Learning. C Zhao, D Du, A Hoogs, C Funk Proceedings of the 34th IEEE/CVF Conference on Computer Vision and Pattern ..., 2023.
Found on Publication Page
24
Towards Fair Disentangled Online Learning for Changing Environments. C Zhao, F Mi, X Wu, K Jiang, L Khan, CE Grant, F Chen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and ..., 2023.
Found on Publication Page
23
An Automated Vulnerability Detection Framework for Smart Contracts. F Mi, C Zhao, Z Wang, SMD Halim, X Li, Z Wu, L Khan, B Thuraisingham arXiv preprint arXiv:2301.08824, 2023.
Found on Publication Page
22
Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. Y Lin, C Zhao, M Shao, B Meng, X Zhao, H Chen arXiv:2309.13005, 2023.
Found on Publication Page
21
Multi-Label Temporal Evidential Neural Networks for Early Event Detection. X Zhao, X Zhang, C Zhao, JH Cho, L Kaplan, DH Jeong, A J sang, ... Proceedings of the IEEE International Conference on Acoustics, Speech and ..., 2023.
Found on Publication Page
20
Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. C Zhao, K Jiang, X Wu, H Wang, L Khan, C Grant, F Chen arXiv:2311.13816, 2023.
Found on Publication Page
In 2022
19
1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). C Zhao, F Chen, X Wu, C Funk, A Hoogs Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and ..., 2022.
Found on Publication Page
18
Programmed stimuli-responsive carbon dot-nanogel hybrids for imaging-guided enhanced tumor phototherapy. C Zhao, S Sun, S Li, A Lv, Q Chen, K Jiang, Z Jiang, Z Li, A Wu, H Lin ACS Applied Materials & Interfaces 14 (8), 10142-10153, 2022.
Found on Publication Page
17
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. C Zhao, F Mi, X Wu, K Jiang, L Khan, F Chen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and ..., 2022.
Found on Publication Page
16
A Nested Bi-level Optimization Framework for Robust Few Shot Learning. K Killamsetty, C Li, C Zhao, F Chen, RK Iyer 36th AAAI Conference on Artificial Intelligence, 2022.
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15
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. H Wang, C Zhao, X Zhao, F Chen The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining ..., 2022.
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14
xFBD: Focused building damage dataset and analysis. D Melamed, C Johnson, C Zhao, R Blue, P Morrone, A Hoogs, B Clipp arXiv preprint arXiv:2212.13876, 2022.
Found on Publication Page
In 2021
13
VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning. F Mi, Z Wang, C Zhao, J Guo, F Ahmed, L Khan IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2021), 2021.
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12
Fairness-Aware Online Meta-learning. C Zhao, F Chen, B Thuraisingham Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and ..., 2021.
Found on Publication Page
11
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Minin. Z Wang, C Yuqiao, C Zhao, H Tao, Y Lin, X Zhao, Y Wang, L Khan The Web Conference 2021 (WWW), 2021.
Found on Publication Page
In 2020
9
PDFM: A Primal-Dual Fairness-Aware Framework for Meta-learning. C Zhao, F Chen, Z Wang, L Khan https://arxiv.org/abs/2009.12675v2, 2020.
Found on Publication Page
8
Fair meta-learning for few-shot classification. C Zhao, C Li, J Li, F Chen 2020 IEEE international conference on knowledge graph (ICKG), 275-282, 2020.
Found on Publication Page
7
Unfairness discovery and prevention for few-shot regression. C Zhao, F Chen 2020 IEEE International Conference on Knowledge Graph (ICKG), 137-144, 2020.
Found on Publication Page
6
A Primal-Dual Subgradient Approach for Fair Meta Learning. C Zhao, F Chen, Z Wang, L Khan 2020 IEEE International Conference on Data Mining (ICDM), 2020.
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5
A reweighted meta learning framework for robust few shot learning. K Killamsetty, C Li, C Zhao, R Iyer, F Chen NeurIPS Workshop on Meta- Learning (MetaLearn), 2020.
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In 2019
4
Rank-based multi-task learning for fair regression. C Zhao, F Chen 2019 IEEE International Conference on Data Mining (ICDM), 916-925, 2019.
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In 2017
3
CDC42 is required for epicardial and pro-epicardial development by mediating FGF receptor trafficking to the plasma membrane. J Li, L Miao, C Zhao, WM Shaikh Qureshi, D Shieh, H Guo, Y Lu, S Hu, ... Development 144 (9), 1635-1647, 2017.
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In 2014
2
Numb family proteins are essential for cardiac morphogenesis and progenitor differentiation. C Zhao, H Guo, J Li, T Myint, W Pittman, L Yang, W Zhong, RJ Schwartz, ... Development 141 (2), 281-295, 2014.
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Unspecified
1
Causal Diffusion Autoencoders: Toward Representation-Enabled Counterfactual Generation via Diffusion Probabilistic Models. A Komanduri, C Zhao, F Chen, X Wu .
Found on Publication Page
