Zijian Gao

According to our database, Zijian Gao authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.

Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

IEEE Trans. Artif. Intell., May, 2024

Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning.

Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems.

Hongda Jia, Zijian Gao, Cheng Yang, Bo Ding, Yuanzhao Zhai, Huaimin Wang

IEEE Robotics Autom. Lett., January, 2024

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning.

Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang

Neural Networks, 2024

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior.

Chaoxing Huang, Ziqiang Yu, Zijian Gao, Qiuyi Shen, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

CoRR, 2024

Temporal Inconsistency-Based Active Learning.

Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.

Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-scale confusion and filling mechanism for pressure footprint recognition.

Yan Zhang, Yongsheng Sun, Nian Wang, Zijian Gao, Jing Zhu, Jun Tang

Neural Comput. Appl., 2023

Scheduling Optimization of Multiple Cranes with Multiple Blocks in Container Yards Based on SAA and GA.

Liangyong Chu, Zijian Gao, Xiaowei Xu, Shujuan Li, Yifei Yao, Kaiwen Niu

Proceedings of the IEEE International Conference on Smart Internet of Things, 2023

Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization.

Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning.

Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge.

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

Patterns, 2022

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning.

Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

CoRR, 2022

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration.

Zijian Gao, Kele Xu, Yiying Li, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

CoRR, 2022

Nuclear Norm Maximization Based Curiosity-Driven Learning.

Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

CoRR, 2022

FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography.

Zijian Gao, Yuting Shen, Daohuai Jiang, Fengyu Liu, Feng Gao, Fei Gao

CoRR, 2022

2021

MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification.

Yan Zhang, Yongsheng Sun, Nian Wang, Zijian Gao, Feng Chen, Chenfei Wang, Jun Tang

Neurocomputing, 2021

KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning.

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang

Entropy, 2021

CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval.

Zijian Gao, Jingyu Liu, Sheng Chen, Dedan Chang, Hao Zhang, Jinwei Yuan

CoRR, 2021

Coarse to Fine: Video Retrieval before Moment Localization.

Zijian Gao, Huanyu Liu, Jingyu Liu

CoRR, 2021

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning.

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

CoRR, 2021

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning.

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

CoRR, 2021

Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence Segmentation.

Kele Xu, Zijian Gao, Jilong Wang, Yang Wen, Ming Feng, Changjian Wang, Yin Wang

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms.

Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao

Proceedings of the International Joint Conference on Neural Networks, 2021

The Imaging of Magnetic Nanoparticles with Low-power Magnetoacoustic Tomography.

Zijian Gao, Peng Ge, Yifei Xu, Xiaopeng Yu, Feng Gao, Fei Gao

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Security-Driven hybrid collaborative recommendation method for cloud-based iot services.

Shunmei Meng, Zijian Gao, Qianmu Li, Hao Wang, Hong-Ning Dai, Lianyong Qi

Comput. Secur., 2020

2019

Random forest model identifies serve strength as a key predictor of tennis match outcome.

Zijian Gao, Amanda Kowalczyk

CoRR, 2019