Fingerprint Feature Recognition of Frequency Hopping Radio with FCBF-NMI Feature Selection. - Hongguang Li; Ying Guo; Zisen Qi; Ping Sui; Linghua Su (CSPS, 2019)

Specific Emitter Identification Against Unreliable Features Interference Based on Time-Series Classification Network Structure. - Yinghui Liu; Hua Xu; Zisen Qi; Yunhao Shi (IEEE Access, 2020)

MALUP: A Malware Classification Framework using Convolutional Neural Network with Deep Unsupervised Pre-training. - Qian Qiang; Mian Cheng; Yuan Zhou; Yu Ding; Zisen Qi (TrustCom, 2021)

An Incremental Malware Classification Approach Based on Few-Shot Learning. - Qian Qiang; Mian Cheng; Yang Hu; Yuan Zhou 008; Jiawei Sun; Yu Ding; Zisen Qi; Fei Jiao (ICC, 2022)

Evaluation Method of Communication Countermeasure Combat Effectiveness based on Cloud Model. - Lili Zhu; Dan Wang; Lei Jiang; Zisen Qi; Xihao Chen; Yongmin Wang (ICSPCC, 2022)

Towards Better Personalization: A Meta-Learning Approach for Federated Recommender Systems. - Zhengyang Ai; Guangjun Wu; Xin Wan; Zisen Qi; Yong Wang 032 (KSEM (2), 2022)

Malware Classification Based on Semi-Supervised Learning. - Yu Ding; Xiaoyu Zhang 002; Binbin Li 003; Jian Xing; Qian Qiang; Zisen Qi; Menghan Guo; Siyu Jia; Haiping Wang 003 (SciSec, 2022)

Cost-Effective Malware Classification Based on Deep Active Learning. - Qian Qiang; Yige Chen; Yang Hu; Tianning Zang; Mian Cheng; Quanbo Pan; Yu Ding; Zisen Qi (SecureComm, 2022)

ConvLSTMAE: A Spatiotemporal Parallel Autoencoders for Automatic Modulation Classification. - Yunhao Shi; Xu Hua; Lei Jiang; Zisen Qi (IEEE Commun. Lett., 2022)

UCWSC: A unified cross-modal weakly supervised classification ensemble framework. - Huiyang Chang; Binbin Li 003; Guangjun Wu; Haiping Wang 003; Yu Ding; Siyu Jia; Zisen Qi; Xiaohua Jiang (CSCWD, 2023)

Real-Time Aggregation for Massive Alerts Based on Dynamic Attack Granularity Graph. - Haiping Wang 003; Binbin Li 003; Tianning Zang; Yifei Yang; Zisen Qi; Siyu Jia; Yu Ding (SciSec, 2023)

Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis. - Binbin Li 003; Yuqing Li; Siyu Jia; Bingnan Ma; Yu Ding; Zisen Qi; Xingbang Tan; Menghan Guo; Shenghui Liu (CSCWD, 2024)

Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis. - Yuqing Li; Wenyuan Zhang 002; Binbin Li 003; Siyu Jia; Zisen Qi; Xingbang Tan (ICASSP, 2024)

Exemplar-Free Deep Incremental Hashing for Efficient Image Retrieval. - Siyu Jia; Can Ma; Binbin Li 003; Zisen Qi; Menghan Guo; Yu Ding; Haiping Wang 003 (ICIC (LNAI 5), 2024)

Malware Variant Detection Based on Knowledge Transfer and Ensemble Learning. - Yu Ding; Haoliang Sun; Binbin Li 003; Zisen Qi; Siyu Jia; Haiping Wang 003; Xingbang Tan (SciSec, 2024)

Family Similarity-Enhanced Implicit Data Augmentation for Malware Classification. - Zisen Qi; Yijing Wang; Binbin Li 003; Tianning Zang; Hao Cui; Xingbang Tan; Yu Ding (SciSec, 2024)

An Efficient IOC-Driven BigData Tracing and Backtracking Model for Emergency Response. - Haiping Wang 003; Jianqiang Li; Binbin Li 003; Tianning Zang; Zisen Qi; Siyu Jia; Yu Ding; Yifei Yang (SciSec, 2024)

Automatic Alert Categories Standardization for Heterogeneous Devices with Incomplete Semantic Knowledge Based on LSTM. - Haiping Wang 003; Jianqiang Li; Binbin Li 003; Tianning Zang; Yifei Yang; Siyu Jia; Zisen Qi; Yu Ding (SciSec, 2024)

GAF-MAE: A Self-Supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder. - Yunhao Shi; Hua Xu; Yue Zhang 022; Zisen Qi; Dan Wang 018 (IEEE Trans. Cogn. Commun. Netw., 2024)

Dynamic Jamming Power Allocation With Incomplete Sensing Information: Improving by GAN and Opponent Modeling. - Xiang Peng; Hua Xu; Zisen Qi; Dan Wang 018; Yue Zhang 022; Ning Rao; Yiqiong Pang (IEEE Commun. Lett., 2024)

GATR: Transformer Based on Guided Aggregation Decoder for 3D Multi-Modal Detection. - Yikai Luo; Linyuan He; Shiping Ma; Zisen Qi; Zunlin Fan (IEEE Robotics Autom. Lett., 2024)

Fast Adaptive Jamming Resource Allocation Against Frequency-Hopping Spread Spectrum in Wireless Sensor Networks via Meta-Deep-Reinforcement-Learning. - Ning Rao; Hua Xu; Zisen Qi; Dan Wang 018; Yue Zhang 022 (IEEE Trans. Aerosp. Electron. Syst., 2024)

Energy-efficient strategy generation for smart jammer in non-zero-sum games: A deep reinforcement learning approach. - Xiang Peng; Hua Xu; Zisen Qi; Dan Wang 018; Yue Zhang 022; Yiqiong Pang (Comput. Networks, 2025)

The pupil outdoes the master: Imperfect demonstration-assisted trust region jamming policy optimization against frequency-hopping spread spectrum. - Ning Rao; Hua Xu; Zisen Qi; Dan Wang 018; Yue Zhang 022; Xiang Peng; Lei Jiang (Comput. Commun., 2025)

Optimization for Paralyzing G2A Communication Network: A DRL-Based Joint Path Planning and Jamming Power Allocation Approach. - Xiang Peng; Hua Xu; Zisen Qi; Dan Wang 018; Yiqiong Pang (IEEE Signal Process. Lett., 2025)

Adaptive Jamming Decision-Making Against FHSS Communications via Inexpert Demonstrations Assisted Meta Reinforcement Learning. - Ning Rao; Hua Xu; Zisen Qi; Dan Wang 018; Xiang Peng; Lei Jiang (IEEE Commun. Lett., 2025)

DualCap: Enhancing Lightweight Image Captioning via Dual Retrieval with Similar Scenes Visual Prompts. - Binbin Li 003; Guimiao Yang; Zisen Qi; Haiping Wang 003; Yu Ding (CoRR, 2025)