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- Jialie Shen 0001
aka: Jerry Jialie Shen
City University London, Department of Computer Science, UK - Jerry (Jiahong) Ling
- Jerry Jiang
- Jerry Jian-Ming Yang
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Publication search results
found 450 matches
- 2025
- Jia-Hao Syu, Marcin Fojcik, Rafal Cupek, Jerry Chun-Wei Lin:
HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data. Inf. Fusion 113: 102617 (2025) - 2024
- Guogang Cao, Zhilin Zhou, Yan Wu, Zeyu Peng, Rugang Yan, Yunqing Zhang, Bin Jiang:
GCN-Enhanced Spatial-Spectral Dual-Encoder Network for Simultaneous Segmentation of Retinal Layers and Fluid in OCT Images. Biomed. Signal Process. Control. 98: 106702 (2024) - Jun Li, Zhijie Shi, Jialiang Zhu, Jin Liu, Lihua Qiu, Yeye Song, Liqun Wang, Yuling Li, Yongliang Liu, Dawei Zhang, Haima Yang, Le Fu:
Placenta segmentation in magnetic resonance imaging: Addressing position and shape of uncertainty and blurred placenta boundary. Biomed. Signal Process. Control. 88(Part A): 105680 (2024) - Jia-Hao Syu, Jerry Chun-Wei Lin, Gautam Srivastava:
AI-Based Electricity Grid Management for Sustainability, Reliability, and Security. IEEE Consumer Electron. Mag. 13(1): 91-96 (2024) - Yuling Jiao, Di Li, Xiliang Lu, Jerry Zhijian Yang, Cheng Yuan:
A Gaussian mixture distribution-based adaptive sampling method for physics-informed neural networks. Eng. Appl. Artif. Intell. 135: 108770 (2024) - Jiawei Wang, Boyu Gao, Huawei Tu, Hai-Ning Liang, Zitao Liu, Weiqi Luo, Jian Weng:
Secure and Memorable Authentication Using Dynamic Combinations of 3D Objects in Virtual Reality. Int. J. Hum. Comput. Interact. 40(17): 4608-4626 (2024) - Jia-Hao Syu, Jerry Chun-Wei Lin:
Heterogeneous Federated Learning for Non-IID Smartwatch Data Classification. IEEE Internet Things J. 11(18): 29811-29818 (2024) - Changshi Li, Yuling Jiao, Jerry Zhijian Yang:
An error analysis for deep binary classification with sigmoid loss. Inf. Sci. 681: 121166 (2024) - Chenguang Duan, Junjun Huang, Yuling Jiao, Xiliang Lu, Jerry Zhijian Yang:
Current density impedance imaging with PINNs. J. Comput. Appl. Math. 452: 116120 (2024) - Shiyang Yan, Lin Xu, Xinyao Shu, Zhenyu Lu, Jialie Shen:
LM-Metric: Learned pair weighting and contextual memory for deep metric learning. Pattern Recognit. 155: 110722 (2024) - Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Trans. Knowl. Data Eng. 36(2): 652-667 (2024) - Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu:
GRLC: Graph Representation Learning With Constraints. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8609-8622 (2024) - Jia Shen, Jerry Fjermestad, Jordan W. Suchow:
Introduction to the Minitrack on Cognitive and Neuroscience Research in IS. HICSS 2024: 913 - Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). ICDE 2024: 5733-5734 - Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu:
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. ICML 2024 - Andrea Palmieri, Mahdi Tavakoli, Chi Ching, Wenkai Zheng, Shi You, Xiaodong Zhang, Davide Cornigli, Michael Haverty, Navneet Singh, Luca Larcher, Monika Jamieson, Ajay Bhatnagar, Alexander Jansen, Max Gage, Jianshe Tang, Sameer Deshpande, Brian Brown, Arun Srivatsa, Mehul Naik, Bo Xie, Jerry Gelatos, Joung Joo Lee, Xianmin Tang, Gaurav Thareja, Milan Pesic:
Characterization and Multiscale Modeling of TDDB in State-of-the-art BEOL. IRPS 2024: 10 - Stephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, Yue Jiang, Simon Mak, Cynthia Rudin:
SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization. KDD 2024: 5050-5060 - Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen:
Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy. KDD 2024: 3104-3115 - Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang:
AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD 2024: 6743-6744 - Jia-Hao Syu, Rafal Cupek, Chao-Chun Chen, Jerry Chun-Wei Lin:
TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System. PAKDD (5) 2024: 244-255 - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14646, Springer 2024, ISBN 978-981-97-2252-5 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14648, Springer 2024, ISBN 978-981-97-2240-2 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5 [contents] - Zhao Ding, Chenguang Duan, Yuling Jiao, Jerry Zhijian Yang:
Semi-Supervised Deep Sobolev Regression: Estimation, Variable Selection and Beyond. CoRR abs/2401.04535 (2024) - Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince:
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning? CoRR abs/2401.17571 (2024) - Jinyuan Chang, Zhao Ding, Yuling Jiao, Ruoxuan Li, Jerry Zhijian Yang:
Deep Conditional Generative Learning: Model and Error Analysis. CoRR abs/2402.01460 (2024) - Xiaofeng Liu, Fangxu Xing, Jiachen Zhuo, Maureen Stone, Jerry L. Prince, Georges El Fakhri, Jonghye Woo:
Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI. CoRR abs/2402.06984 (2024)
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