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2020 – today
- 2025
[j14]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)- [j13]Zijian Gao
, Dong Chen, Yiqing Shen:
A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis. Expert Syst. Appl. 279: 127367 (2025) - [j12]Zijian Gao, Bo Liu, Kele Xu, Xinjun Mao, Huaimin Wang:
Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning. IEEE Open J. Comput. Soc. 6: 449-459 (2025) - [j11]Ting Yu, Zijian Gao, Kele Xu, Xu Wang, Peichang Shi, Bo Ding, Dawei Feng:
Dual Temporal Masked Modeling for KPI Anomaly Detection via Similarity Aggregation. IEEE Trans. Netw. Serv. Manag. 22(1): 317-330 (2025) - [c11]Zijian Gao, Shanhao Han, Xingxing Zhang, Kele Xu, Dulan Zhou, Xinjun Mao, Yong Dou, Huaimin Wang:
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning. AAAI 2025: 16763-16771 - [i15]Lei Sun, Andrea Alfarano, Peiqi Duan, Shaolin Su, Kaiwei Wang, Boxin Shi, Radu Timofte, Danda Pani Paudel, Luc Van Gool, Qinglin Liu, Wei Yu, Xiaoqian Lv, Lu Yang, Shuigen Wang, Shengping Zhang, Xiangyang Ji, Long Bao, Yuqiang Yang, Jinao Song, Ziyi Wang, Shuang Wen, Heng Sun, Kean Liu, Mingchen Zhong, Senyan Xu, Zhijing Sun, Jiaying Zhu, Chengjie Ge, Xingbo Wang, Yidi Liu, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Dawei Fan, Dafeng Zhang, Yong Yang, Siru Zhang, Qinghua Yang, Hao Kang, Huiyuan Fu, Heng Zhang, Hongyuan Yu, Zhijuan Huang, Shuoyan Wei, Feng Li, Runmin Cong, Weiqi Luo, Mingyun Lin, Chenxu Jiang, Hongyi Liu, Lei Yu, Weilun Li, Jiajun Zhai, Tingting Lin, Shuang Ma, Sai Zhou, Zhanwen Liu, Yang Wang, Eiffel Chong, Nuwan Bandara, Thivya Kandappu, Archan Misra, Yihang Chen, Zhan Li, Weijun Yuan, Wenzhuo Wang, Boyang Yao, Zhanglu Chen, Yijing Sun, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Yukun Zhang, Yu He, Xiaoyan Xie, Tao Fu, Yashu Gautamkumar Patel, Vihar Ramesh Jain, Divesh Basina, Rishik Ashili, Manish Kumar Manjhi, Sourav Kumar, Prinon Benny, Himanshu Ghunawat, B. Sri Sairam Gautam, Anett Varghese, Abhishek Yadav:
NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results. CoRR abs/2504.12401 (2025) - 2024
- [j10]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) - [j9]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) - [j8]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) - [j7]Zijian Gao, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang:
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. IEEE Trans. Artif. Intell. 5(11): 5530-5539 (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) - [c10]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 - [c9]Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang:
Temporal Inconsistency-Based Active Learning. ICASSP 2024: 6690-6694 - [c8]Tianjiao Wan, Kele Xu, Long Lan, Zijian Gao, Dawei Feng, Bo Ding, Huaimin Wang:
Tracing Training Progress: Dynamic Influence Based Selection for Active Learning. ACM Multimedia 2024: 9417-9425 - [c7]Zijian Gao, Xingxing Zhang, Kele Xu, Xinjun Mao, Huaimin Wang:
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks. NeurIPS 2024 - [i14]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) - [i13]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) - [i12]Zheng Luo, Ming Feng, Zijian Gao, Jinyang Yu, Liang Hu, Tao Wang, Shenao Xue, Shen Zhou, Fangping Ouyang, Dawei Feng, Kele Xu, Shanshan Wang:
Exploring structure diversity in atomic resolution microscopy with graph neural networks. CoRR abs/2410.17631 (2024) - [i11]Qisheng Xu, Yulin Sun, Yi Su, Qian Zhu, Xiaoyi Tan, Hongyu Wen, Zijian Gao, Kele Xu, Yong Dou, Dawei Feng:
AudioCIL: A Python Toolbox for Audio Class-Incremental Learning with Multiple Scenes. CoRR abs/2412.11907 (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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last updated on 2025-05-27 21:58 CEST by the dblp team
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