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Zisen Qi
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2020 – today
- 2025
[j10]Xiang Peng
, Hua Xu, Zisen Qi, Dan Wang, Yue Zhang, Yiqiong Pang:
Energy-efficient strategy generation for smart jammer in non-zero-sum games: A deep reinforcement learning approach. Comput. Networks 270: 111520 (2025)
[j9]Ning Rao
, Hua Xu, Zisen Qi, Dan Wang, Yue Zhang, Xiang Peng
, Lei Jiang:
The pupil outdoes the master: Imperfect demonstration-assisted trust region jamming policy optimization against frequency-hopping spread spectrum. Comput. Commun. 229: 107993 (2025)
[j8]Ning Rao
, Hua Xu
, Zisen Qi
, Dan Wang
, Xiang Peng
, Lei Jiang:
Adaptive Jamming Decision-Making Against FHSS Communications via Inexpert Demonstrations Assisted Meta Reinforcement Learning. IEEE Commun. Lett. 29(1): 105-109 (2025)
[j7]Xiang Peng
, Hua Xu
, Zisen Qi
, Dan Wang
, Yiqiong Pang
:
Optimization for Paralyzing G2A Communication Network: A DRL-Based Joint Path Planning and Jamming Power Allocation Approach. IEEE Signal Process. Lett. 32: 1640-1644 (2025)- 2024
[j6]Xiang Peng
, Hua Xu, Zisen Qi
, Dan Wang
, Yue Zhang
, Ning Rao
, Yiqiong Pang
:
Dynamic Jamming Power Allocation With Incomplete Sensing Information: Improving by GAN and Opponent Modeling. IEEE Commun. Lett. 28(5): 1077-1081 (2024)
[j5]Yikai Luo
, Linyuan He
, Shiping Ma
, Zisen Qi
, Zunlin Fan
:
GATR: Transformer Based on Guided Aggregation Decoder for 3D Multi-Modal Detection. IEEE Robotics Autom. Lett. 9(11): 9725-9732 (2024)
[j4]Ning Rao
, Hua Xu, Zisen Qi
, Dan Wang
, Yue Zhang
:
Fast Adaptive Jamming Resource Allocation Against Frequency-Hopping Spread Spectrum in Wireless Sensor Networks via Meta-Deep-Reinforcement-Learning. IEEE Trans. Aerosp. Electron. Syst. 60(6): 7676-7693 (2024)
[j3]Yunhao Shi
, Hua Xu, Yue Zhang
, Zisen Qi, Dan Wang
:
GAF-MAE: A Self-Supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder. IEEE Trans. Cogn. Commun. Netw. 10(1): 94-106 (2024)
[c16]Binbin Li, Yuqing Li, Siyu Jia, Bingnan Ma, Yu Ding, Zisen Qi, Xingbang Tan, Menghan Guo, Shenghui Liu:
Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis. CSCWD 2024: 998-1003
[c15]Yuqing Li, Wenyuan Zhang, Binbin Li, Siyu Jia, Zisen Qi, Xingbang Tan:
Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis. ICASSP 2024: 11241-11245
[c14]Siyu Jia
, Can Ma
, Binbin Li
, Zisen Qi
, Menghan Guo
, Yu Ding
, Haiping Wang
:
Exemplar-Free Deep Incremental Hashing for Efficient Image Retrieval. ICIC (LNAI 5) 2024: 386-400
[c13]Yu Ding, Haoliang Sun, Binbin Li, Zisen Qi, Siyu Jia, Haiping Wang, Xingbang Tan:
Malware Variant Detection Based on Knowledge Transfer and Ensemble Learning. SciSec 2024: 387-401
[c12]Haiping Wang
, Jianqiang Li, Binbin Li, Tianning Zang, Zisen Qi, Siyu Jia, Yu Ding, Yifei Yang:
An Efficient IOC-Driven BigData Tracing and Backtracking Model for Emergency Response. SciSec 2024: 402-419
[c11]Haiping Wang
, Jianqiang Li, Binbin Li, Tianning Zang, Yifei Yang, Siyu Jia, Zisen Qi, Yu Ding:
Automatic Alert Categories Standardization for Heterogeneous Devices with Incomplete Semantic Knowledge Based on LSTM. SciSec 2024: 437-456
[c10]Zisen Qi, Yijing Wang, Binbin Li, Tianning Zang, Hao Cui, Xingbang Tan, Yu Ding:
Family Similarity-Enhanced Implicit Data Augmentation for Malware Classification. SciSec 2024: 457-472
[i2]Binbin Li, Yuqing Li, Siyu Jia, Bingnan Ma, Yu Ding, Zisen Qi, Xingbang Tan, Menghan Guo, Shenghui Liu:
Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis. CoRR abs/2403.10065 (2024)- 2023
[c9]Huiyang Chang, Binbin Li, Guangjun Wu, Haiping Wang, Yu Ding, Siyu Jia, Zisen Qi, Xiaohua Jiang:
UCWSC: A unified cross-modal weakly supervised classification ensemble framework. CSCWD 2023: 808-813
[c8]Haiping Wang
, Binbin Li, Tianning Zang, Yifei Yang, Zisen Qi, Siyu Jia, Yu Ding:
Real-Time Aggregation for Massive Alerts Based on Dynamic Attack Granularity Graph. SciSec 2023: 225-243
[i1]Yuqing Li, Wenyuan Zhang, Binbin Li, Siyu Jia, Zisen Qi, Xingbang Tan:
Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis. CoRR abs/2309.15476 (2023)- 2022
[j2]Yunhao Shi
, Xu Hua, Lei Jiang, Zisen Qi:
ConvLSTMAE: A Spatiotemporal Parallel Autoencoders for Automatic Modulation Classification. IEEE Commun. Lett. 26(8): 1804-1808 (2022)
[c7]Qian Qiang, Mian Cheng, Yang Hu, Yuan Zhou, Jiawei Sun, Yu Ding, Zisen Qi, Fei Jiao:
An Incremental Malware Classification Approach Based on Few-Shot Learning. ICC 2022: 2682-2687
[c6]Lili Zhu, Dan Wang, Lei Jiang, Zisen Qi, Xihao Chen, Yongmin Wang:
Evaluation Method of Communication Countermeasure Combat Effectiveness based on Cloud Model. ICSPCC 2022: 1-6
[c5]Zhengyang Ai, Guangjun Wu, Xin Wan, Zisen Qi, Yong Wang:
Towards Better Personalization: A Meta-Learning Approach for Federated Recommender Systems. KSEM (2) 2022: 520-533
[c4]Yu Ding, Xiaoyu Zhang, Binbin Li, Jian Xing, Qian Qiang, Zisen Qi, Menghan Guo, Siyu Jia, Haiping Wang:
Malware Classification Based on Semi-Supervised Learning. SciSec 2022: 287-301
[c3]Qian Qiang, Yige Chen, Yang Hu, Tianning Zang, Mian Cheng, Quanbo Pan, Yu Ding, Zisen Qi:
Cost-Effective Malware Classification Based on Deep Active Learning. SecureComm 2022: 212-227- 2021
[c2]Qian Qiang, Mian Cheng, Yuan Zhou, Yu Ding, Zisen Qi:
MALUP: A Malware Classification Framework using Convolutional Neural Network with Deep Unsupervised Pre-training. TrustCom 2021: 627-634- 2020
[j1]Yinghui Liu
, Hua Xu
, Zisen Qi, Yunhao Shi:
Specific Emitter Identification Against Unreliable Features Interference Based on Time-Series Classification Network Structure. IEEE Access 8: 200194-200208 (2020)
2010 – 2019
- 2019
[c1]Hongguang Li, Ying Guo, Zisen Qi, Ping Sui, Linghua Su:
Fingerprint Feature Recognition of Frequency Hopping Radio with FCBF-NMI Feature Selection. CSPS 2019: 819-831
Coauthor Index

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last updated on 2025-10-22 03:32 CEST by the dblp team
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