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ORCIDZijian Gao
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2020 – today
- 2025
[j10]Dong Chen, Zijian Gao, Jing Liu, Tao Song, Lijuan Li, Liang Tian:
Coarse-to-fine hybrid network for robust medical image registration in the presence of large deformations. Biomed. Signal Process. Control. 100: 106926 (2025)- 2024
- [j9]Zijian Gao
, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang:
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks 179: 106513 (2024) - [j8]Hongda Jia, Zijian Gao, Cheng Yang, Bo Ding, Yuanzhao Zhai, Huaimin Wang:
C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems. IEEE Robotics Autom. Lett. 9(1): 95-102 (2024) - [j7]Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang:
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. IEEE Trans. Artif. Intell. 5(5): 2410-2421 (2024) - [j6]Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang:
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1181-1193 (2024) - [c8]Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. AAAI 2024: 16678-16686 - [c7]Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang:
Temporal Inconsistency-Based Active Learning. ICASSP 2024: 6690-6694 - [i12]Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. CoRR abs/2401.05899 (2024) - [i11]Chaoxing Huang, Ziqiang Yu, Zijian Gao, Qiuyi Shen, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen:
Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior. CoRR abs/2407.01926 (2024) - 2023
- [j5]Yan Zhang, Yongsheng Sun, Nian Wang, Zijian Gao, Jing Zhu, Jun Tang:
Multi-scale confusion and filling mechanism for pressure footprint recognition. Neural Comput. Appl. 35(1): 375-392 (2023) - [c6]Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang:
Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. ICASSP 2023: 1-5 - [c5]Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang:
Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. ICASSP 2023: 1-5 - [c4]Liangyong Chu, Zijian Gao, Xiaowei Xu, Shujuan Li, Yifei Yao, Kaiwen Niu:
Scheduling Optimization of Multiple Cranes with Multiple Blocks in Container Yards Based on SAA and GA. SmartIoT 2023: 275-281 - 2022
- [j4]Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang:
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3(6): 100512 (2022) - [i10]Zijian Gao, Yuting Shen, Daohuai Jiang, Fengyu Liu, Feng Gao, Fei Gao:
FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography. CoRR abs/2204.14084 (2022) - [i9]Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang:
Nuclear Norm Maximization Based Curiosity-Driven Learning. CoRR abs/2205.10484 (2022) - [i8]Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang:
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization. CoRR abs/2208.05414 (2022) - [i7]Zijian Gao, Kele Xu, Yiying Li, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang:
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. CoRR abs/2208.11349 (2022) - [i6]Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang:
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. CoRR abs/2208.11361 (2022) - 2021
- [j3]Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang:
KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning. Entropy 23(8): 1043 (2021) - [j2]Yan Zhang, Yongsheng Sun, Nian Wang, Zijian Gao, Feng Chen, Chenfei Wang, Jun Tang:
MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification. Neurocomputing 449: 1-14 (2021) - [c3]Zijian Gao, Peng Ge, Yifei Xu, Xiaopeng Yu, Feng Gao, Fei Gao:
The Imaging of Magnetic Nanoparticles with Low-power Magnetoacoustic Tomography. EMBC 2021: 2696-2699 - [c2]Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao:
Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. IJCNN 2021: 1-6 - [c1]Kele Xu, Zijian Gao, Jilong Wang, Yang Wen, Ming Feng, Changjian Wang, Yin Wang:
Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence Segmentation. ISBRA 2021: 360-371 - [i5]Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia:
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning. CoRR abs/2103.14891 (2021) - [i4]Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia:
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning. CoRR abs/2105.11611 (2021) - [i3]Zijian Gao, Huanyu Liu, Jingyu Liu:
Coarse to Fine: Video Retrieval before Moment Localization. CoRR abs/2110.07201 (2021) - [i2]Zijian Gao, Jingyu Liu, Sheng Chen, Dedan Chang, Hao Zhang, Jinwei Yuan:
CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval. CoRR abs/2111.05610 (2021) - 2020
- [j1]Shunmei Meng, Zijian Gao, Qianmu Li, Hao Wang, Hong-Ning Dai, Lianyong Qi:
Security-Driven hybrid collaborative recommendation method for cloud-based iot services. Comput. Secur. 97: 101950 (2020)
2010 – 2019
- 2019
- [i1]Zijian Gao, Amanda Kowalczyk:
Random forest model identifies serve strength as a key predictor of tennis match outcome. CoRR abs/1910.03203 (2019)
Coauthor Index
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