Zijian Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Driven Learning

Norm Regularization

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

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) (2024)
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) (2024)
Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang
Temporal Inconsistency-Based Active Learning. ICASSP (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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)
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)
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) (2023)
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)
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)
Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang
Nuclear Norm Maximization Based Curiosity-Driven Learning. CoRR (2022)
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) (2022)
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 (2022)
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 (2022)
Zijian Gao, Yuting Shen, Daohuai Jiang, Fengyu Liu, Feng Gao, Fei Gao
FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography. CoRR (2022)
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 (2022)
Zijian Gao, Huanyu Liu, Jingyu Liu
Coarse to Fine: Video Retrieval before Moment Localization. CoRR (2021)
Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang
KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning. Entropy 23 (8) (2021)
Ning Yang, Qi Lu, Kele Xu, Bo Ding, Zijian Gao
Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms. IJCNN (2021)
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 (2021)
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 (2021)
Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning. CoRR (2021)
Zijian Gao, Peng Ge, Yifei Xu, Xiaopeng Yu, Feng Gao, Fei Gao
The Imaging of Magnetic Nanoparticles with Low-power Magnetoacoustic Tomography. EMBC (2021)
Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning. CoRR (2021)
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)
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 (2020)
Zijian Gao, Amanda Kowalczyk
Random forest model identifies serve strength as a key predictor of tennis match outcome. CoRR (2019)