Zilin Zhang

According to our database, Zilin Zhang authored at least 21 papers between 2018 and 2023.

Collaborative distances:

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

2023

Online few-shot learning for multi-function radars mode recognition based on backtracking contextual prototypical memory.

Qihang Zhai, Xiongkui Zhang, Zilin Zhang, Jiabin Liu, Shafei Wang

Digit. Signal Process., September, 2023

Few-Shot Recognition of Multifunction Radar Modes via Refined Prototypical Random Walk Network.

Qihang Zhai, Yan Li, Zilin Zhang, Yunjie Li, Shafei Wang

IEEE Trans. Aerosp. Electron. Syst., June, 2023

Noisy Supervised Deep Learning for Remote Sensing Image Segmentation Using Electronic Maps.

Qing Zhang, Shulin Pan, Fan Min, Yinghe Wu, Zilin Zhang, Haoran Luo

IEEE Geosci. Remote. Sens. Lett., 2023

Session-based Interactive Recommendation via Deep Reinforcement Learning.

Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li

Proceedings of the IEEE International Conference on Data Mining, 2023

Efficient Interactive Recommendation via Huffman Tree-based Policy Learning.

Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang, Shijian Li

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Few-Shot Learning for Fine-Grained Signal Modulation Recognition Based on Foreground Segmentation.

Zilin Zhang, Yan Li, Qihang Zhai, Yunjie Li, Meiguo Gao

IEEE Trans. Veh. Technol., 2022

A Deep RL-Based Algorithm for Coordinated Charging of Electric Vehicles.

Zilin Zhang, Yanni Wan, Jiahu Qin, Weiming Fu, Yu Kang

IEEE Trans. Intell. Transp. Syst., 2022

Mode Recognition of Multifunction Radars for Few-Shot Learning Based on Compound Alignments.

Zilin Zhang, Yan Li, Qihang Zhai, Yunjie Li, Meiguo Gao

IEEE Trans. Aerosp. Electron. Syst., 2022

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management.

Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Zhengjie Ji, Zilin Zhang, Dawn Song

CoRR, 2022

Reusing IEEE 1687-Compatible Instruments and Sub-Networks over a System Bus.

Farrokh Ghani Zadegan, Zilin Zhang, Kim Petersén, Erik Larsson

Proceedings of the IEEE International Test Conference, 2022

2021

A TDMA VANET protocol for the hybrid structure.

Ziheng Zhang, Yuanxin Sun, Zilin Zhang, Wanbin Tang, Sa Xiao

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020

Deep-Learning-Based Early Detection of Diabetic Retinopathy on Fundus Photography Using EfficientNet.

Zilin Zhang

Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020

MobileRE: A Hybrid Fault Tolerance Strategy Combining Erasure Codes and Replicas for Mobile Distributed Cluster.

Yu Wu, Duo Liu, Xianzhang Chen, Jinting Ren, Renping Liu, Yujuan Tan, Zilin Zhang

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Few-Shot Learning of Signal Modulation Recognition based on Attention Relation Network.

Zilin Zhang, Yan Li, Meiguo Gao

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Cross-Layer Autoencoder for Zero-Shot Learning.

Zilin Zhang, Yunjie Li, Jian Yang, Yan Li, Meiguo Gao

IEEE Access, 2019

Geometric error based Configuration order selection for precision improvement in multi-axis motion system.

Hao Tang, Zilin Zhang

Proceedings of the RICAI 2019: International Conference on Robotics, 2019

Cross-Training Deep Neural Networks for Learning from Label Noise.

Zhengwen Zhang, Jian Yang, Zilin Zhang, Yan Li

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Three and Two Dimensions Data Fusion Based Panoramic Environment Perception for Space Modeling.

Zilin Zhang, Haodong Hong, Xian Wang

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Adaptive Matrix Sketching and Clustering for Semisupervised Incremental Learning.

Zilin Zhang, Yan Li, Zhengwen Zhang, Cheng Jin, Meiguo Gao

IEEE Signal Process. Lett., 2018

TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation.

Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir R. Radev

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018