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ORCIDZijun Gao
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2020 – today
- 2024
[j6]Zijun Gao
, Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian:
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection. Artif. Intell. Medicine 156: 102947 (2024)- [j5]Shiyu Huang, Zijun Gao, Jue Wang, Bo Li:
DAF-Retinex: Preserve the image detailed features and restore the reflected image. IET Image Process. 18(9): 2461-2475 (2024) - [c8]Yi Shen, Hao Liu, Chang Zhou, Wentao Wang, Zijun Gao, Qi Wang:
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles. ACIRS 2024: 6-10 - [c7]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CVPR 2024: 28566-28577 - [c6]Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang:
An Uncertainty-Guided Tiered Self-training Framework for Active Source-Free Domain Adaptation in Prostate Segmentation. MICCAI (9) 2024: 107-117 - [c5]Darshana Govind, Zijun Gao, Chaitanya Parmar, Kenneth Broos, Nicholas Fountoulakis, Lenore Noonan, Shinobu Yamamoto, Natalia Zemlianskaia, Craig S. Meyer, Emily Scherer, Michael Deman, Pablo F. Damasceno, Philip S. Murphy, Terence Rooney, Elizabeth Hsia, Anna Beutler, Robert L. Janiczek, Stephen S. F. Yip, Kristopher Standish:
Vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis. MLMI@MICCAI (1) 2024: 94-103 - [i15]Hao Liu, Yi Shen, Shuangjiang Yu, Zijun Gao, Tong Wu:
Deep Reinforcement Learning for Mobile Robot Path Planning. CoRR abs/2404.06974 (2024) - [i14]Ngoc Quach, Qi Wang, Zijun Gao, Qifeng Sun, Bo Guan, Lillian Floyd:
Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs. CoRR abs/2404.12587 (2024) - [i13]Taiyuan Mei, Yun Zi, Xiaohan Cheng, Zijun Gao, Qi Wang, Haowei Yang:
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks. CoRR abs/2405.11704 (2024) - [i12]Hao Liu, Yi Shen, Chang Zhou, Yuelin Zou, Zijun Gao, Qi Wang:
TD3 Based Collision Free Motion Planning for Robot Navigation. CoRR abs/2405.15460 (2024) - [i11]Zijun Gao, Qi Wang, Taiyuan Mei, Xiaohan Cheng, Yun Zi, Haowei Yang:
An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation. CoRR abs/2406.01605 (2024) - [i10]Yi Shen, Hao Liu, Chang Zhou, Wentao Wang, Zijun Gao, Qi Wang:
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles. CoRR abs/2406.04821 (2024) - [i9]Zhaotian Weng, Zijun Gao, Jerone T. A. Andrews, Jieyu Zhao:
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. CoRR abs/2407.02814 (2024) - [i8]Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang:
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation. CoRR abs/2407.02893 (2024) - [i7]Wenjin Niu, Zijun Gao, Liyan Song, Lingbo Li:
Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data. CoRR abs/2407.13054 (2024) - [i6]Xiaohan Cheng, Taiyuan Mei, Yun Zi, Qi Wang, Zijun Gao, Haowei Yang:
Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description. CoRR abs/2408.06357 (2024) - [i5]Qi Wang, Zijun Gao, Mingxiu Sui, Taiyuan Mei, Xiaohan Cheng, Iris Li:
Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods. CoRR abs/2409.04977 (2024) - 2023
- [c4]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-Tail Cross Modal Hashing. AAAI 2023: 7642-7650 - [i4]Zijun Gao, Lingbo Li, Tianhua Xu:
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey. CoRR abs/2310.10060 (2023) - [i3]Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang:
Gradient-based Parameter Selection for Efficient Fine-Tuning. CoRR abs/2312.10136 (2023) - 2022
- [j4]Zijun Gao, Lu Wang, Reza Soroushmehr, Alexander Wood, Jonathan Gryak, Brahmajee K. Nallamothu, Kayvan Najarian:
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features. BMC Medical Imaging 22(1): 10 (2022) - [j3]Zijun Gao, Trevor Hastie:
LinCDE: Conditional Density Estimation via Lindsey's Method. J. Mach. Learn. Res. 23: 52:1-52:55 (2022) - [c3]Yanan Dai, Zijun Gao, Yinyin Zhu, Wenshan Zhang, Hao Li, Ying Wang, Zheyi Li:
Feature Grouping for No-reference Image Quality Assessment. CACRE 2022: 204-208 - [i2]Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang:
Long-tail Cross Modal Hashing. CoRR abs/2211.15162 (2022) - 2021
- [j2]Zhi Li, Harm Derksen, Jonathan Gryak, Cheng Jiang, Zijun Gao, Winston Zhang, Hamid Ghanbari, Pujitha Gunaratne, Kayvan Najarian:
Prediction of cardiac arrhythmia using deterministic probabilistic finite-state automata. Biomed. Signal Process. Control. 63: 102200 (2021) - [j1]Heming Yao, Ryan W. Stidham, Zijun Gao, Jonathan Gryak, Kayvan Najarian:
Motion-based camera localization system in colonoscopy videos. Medical Image Anal. 73: 102180 (2021) - 2020
- [c2]Zijun Gao, Yanjun Han:
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects. NeurIPS 2020
2010 – 2019
- 2019
- [c1]Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou:
Batched Multi-armed Bandits Problem. NeurIPS 2019: 501-511 - [i1]Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou:
Batched Multi-armed Bandits Problem. CoRR abs/1904.01763 (2019)
Coauthor Index
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last updated on 2024-10-31 21:06 CET by the dblp team
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