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Huixin Zhan
Huixin Zhan
Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center
Verified email at cshs.org - Homepage
Title
Cited by
Cited by
Year
Human-Guided Robot Behavior Learning: A GAN-Assisted Preference-Based Reinforcement Learning Approach
H Zhan, F Tao, Y Cao
IEEE Robotics and Automation Letters 6 (2), 3545 - 3552, 2021
212021
Deep model compression via two-stage deep reinforcement learning
H Zhan, WM Lin, Y Cao
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
122021
Relationship explainable multi-objective optimization via vector value function based reinforcement learning
H Zhan, Y Cao
arXiv preprint arXiv:1910.01919, 2019
72019
Mitigate gender bias using negative multi-task learning
L Gao, H Zhan, VS Sheng
Neural Processing Letters 55 (8), 11131-11146, 2023
52023
Anomaly detection in crowdsourced work with interval-valued labels
M Spurling, C Hu, H Zhan, VS Sheng
International Conference on Information Processing and Management of …, 2022
52022
Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work
M Spurling, C Hu, H Zhan, VS Sheng
2021 ieee symposium series on computational intelligence (ssci), 01-08, 2021
52021
Towards explainable summary of crowdsourced reviews through text mining
A Moody, C Hu, H Zhan, M Spurling, VS Sheng
International Conference on Information Processing and Management of …, 2022
42022
Efficient multi-objective reinforcement learning via multiple-gradient descent with iteratively discovered weight-vector sets
Y Cao, H Zhan
Journal of Artificial Intelligence Research 70, 319-349, 2021
42021
Relationship explainable multi-objective reinforcement learning with semantic explainability generation
H Zhan, Y Cao
arXiv preprint arXiv:1909.12268, 2019
42019
Multi-objective Privacy-preserving Text Representation Learning
H Zhan, K Zhang, C Hu, VS Sheng
Proceedings of the 30th ACM International Conference on Information …, 2021
32021
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
H Zhan, K Zhang, K Lu, VS Sheng
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16380 …, 2023
22023
Proximal Cost-sensitive Sparse Group Online Learning
Z Chen, H Zhan, VS Sheng, A Edwards, K Zhang
2022 IEEE International Conference on Big Data (Big Data), 495-504, 2022
22022
Projection dual averaging based second-order online learning
Z Chen, H Zhan, V Sheng, A Edwards, K Zhang
2022 ieee international conference on data mining (icdm), 51-60, 2022
22022
HGATs: Hierarchical Graph Attention Networks for Multiple Comments Integration
H Zhan, K Zhang, C Hu, VS Sheng
ASONAM'21: Proceedings of the 2021 IEEE/ACM International Conference on …, 2022
22022
New Threats to Privacy-preserving Text Representations
H Zhan, K Zhang, C Hu, VS Sheng
Hawaii International Conference on System Sciences 2022, 2022
22022
Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs
H Zhan, VS Sheng, WM Lin
Expert Systems with Applications 186, 115717, 2021
22021
Gated graph neural networks (GG-NNs) for abstractive multi-comment summarization
H Zhan, K Zhang, C Hu, VS Sheng
2021 ieee international conference on big knowledge (icbk), 323-330, 2021
22021
-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks
H Zhan, K Zhang, C Hu, V Sheng
Asian conference on machine learning, 1477-1492, 2021
22021
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes
H Zhan, VS Sheng
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16143 …, 2023
12023
Towards fair and selectively privacy-preserving models using negative multi-task learning (student abstract)
L Gao, H Zhan, A Chen, VS Sheng
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16214 …, 2023
12023
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