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Zijian 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
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks 179: 106513 (2024) - [j8]Hongda Jia
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
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. IEEE Trans. Artif. Intell. 5(5): 2410-2421 (2024) - [j6]Zijian Gao
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1181-1193 (2024) - [c9]Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. AAAI 2024: 16678-16686 - [c8]Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang:
Temporal Inconsistency-Based Active Learning. ICASSP 2024: 6690-6694 - [c7]Tianjiao Wan
Tracing Training Progress: Dynamic Influence Based Selection for Active Learning. ACM Multimedia 2024: 9417-9425 - [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
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
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
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
Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. IJCNN 2021: 1-6 - [c1]Kele Xu
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
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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