Biography
I am a lecturer at Jiangnan University. I recieved my Ph.D. degree at School of Computer Science and Engineering, the University of New South Wales, supervised by A/Prof. Lina Yao and Prof. Salil Kanhere. Before that, I received B.S. degree from the Department of Computer Science and Engineering, Jilin University, in 2018.
You may see my latest CV here (
2021-10 edition).
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Research Interest
My research interests mainly focus on machine learning and data mining, especially on the application of generative networks in different real world scenarios. My current topics are summarized as follows:
- Consumer Behavior Analysis
- Human Activity Recognition
- Zero-shot Learning
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Publications (* denotes corresponding author)
- Zhe Liu*, Yun Li, Lina Yao, Molly Lucas, Jessica~J.M.Monaghan, and Yu Zhang. ``Side-aware Meta Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus.'' IEEE Neural Systems and Rehabilitation Engineering (TNSRE), 2022.
- Zhe Liu*, Yun Li, Lina Yao, and Julian McAuley. ``Rethink, Revisit, Revise: Spiral Reinforced Self-Revised Learning for Zero-Shot Learning.'' IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
- Yun Li, Zhe Liu*, Lina Yao, Xianzhi Wang, Julian McAuley and Xiaojun Chang. " An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning "[J], IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
- Yun Li, Zhe Liu*, Lina Yao and Xiaojun Chang. " An Attribute-Modulated Generative Meta Learning for Generalized Zero-Shot Learning "[J], IEEE Transactions on Multimedia (TMM), 2021.
- Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Lei Bai and Ee-Peng Lim. " Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding "[J], Knowledge-based System (KBSYST), 2021.
- Zhe Liu, Lina Yao, Xianzhi Wang, Jessica Monaghan, Roland Schaette, Zihuai He, and David McAlpine. " Generalizable Sample-efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners with Subjective Tinnitus "[J], IEEE Neural Systems and Rehabilitation Engineering (TNSRE), 2021.
- Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, and Feiping Nie. " Agglomerative Neural Networks for Multi-view Clustering "[J], IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
- Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, and Guodong Long. " Task Aligned Generative Meta-learning for Zero-shot Learning "[C], The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021), 2021.
- Yun Li, Zhe Liu, Lina Yao and Zihuai He. " Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. "[C], The Conference on Information and Knowledge Management (CIKM-2020), 2020.
- Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang and Can Wang. " Spectrum-Guided Adversarial Disparity Learning "[C], ACM SIGKDD International Conference on Knowledge discovery and data mining (KDD-2020), 2020.
- Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai and Jake An. " Are You a Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. "[C], The International Joint Conference on Neural Networks (IJCNN-2020), 2020.
- Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang and Yong Liu. " Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection "[J], Journal of. Biomedical And Health Informatics (JBHI), 2020.
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Academia Services
- Reviewer, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022
- PC Member, Association for the Advancement of Artificial Intelligence (AAAI), 2022
- Reviewer, Knowledge-based System (KBSYST), 2022
- Reviewer, IEEE Internet of Things Journal (IoT), 2022
- PC Member, Association for the Advancement of Artificial Intelligence (AAAI), 2022
- Reviewer, ACM Multimedia (MM), 2021
- Reviewer, ACM Transactions on Sensor Networks (TOSN), 2020
- Reviewer, ACM International Conference on Information and Knowledge Management (CIKM), 2020
- Reviewer, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
- Reviewer, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
- Reviewer, ACM Transactions on Information Systems (TOIS), 2019
- Reviewer, IEEE International Conference on Data Mining (ICDM), 2019
- Reviewer, ACM International Conference on Web Search and Data Mining (WSDM), 2019
- Reviewer, ACM MULTIMEDIA (MM), 2019
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Awards & Honors
- Dean’s Award for Outstanding PhD Theses 2022
- ECA EDI Seed Grant 2021
- Top-ups Scholarship. 2020
- KDD Travel Grant. 2020
- IJCNN Travel Grant 2020
- Top-ups Scholarship 2020
- China Scholarship Council (CSC) Scholarship 2018
- Tuition Fee Scholarship 2018
- ... ...
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