Type-Aware Open Information Extraction via Graph Augmentation Model. - Qinghua Wen; Yunzhe Tian; Xiaohui Zhang; Ruoyun Hu; Jinsong Wang; Lei Hou 001; Juanzi Li (CCKS, 2020)

Bidirectional RNN-Based Few-Shot Training for Detecting Multi-stage Attack. - Bowei Jia; Yunzhe Tian; Di Zhao; Xiaojin Wang; Chenyang Li; Wenjia Niu; Endong Tong; Jiqiang Liu (Inscrypt, 2020)

Exploring Data Correlation between Feature Pairs for Generating Constraint-based Adversarial Examples. - Yunzhe Tian; Yingdi Wang; Endong Tong; Wenjia Niu; Liang Chang 003; Qi Alfred Chen; Gang Li 009; Jiqiang Liu (ICPADS, 2020)

Exposing Spoofing Attack on Flocking-Based Unmanned Aerial Vehicle Cluster: A Threat to Swarm Intelligence. - Xinyu Huang 006; Yunzhe Tian; Yifei He; Endong Tong; Wenjia Niu; Chenyang Li; Jiqiang Liu; Liang Chang 003 (Secur. Commun. Networks, 2020)

Improving Convolutional Neural Network-Based Webshell Detection Through Reinforcement Learning. - Yalun Wu; Minglu Song; Yike Li; Yunzhe Tian; Endong Tong; Wenjia Niu; Bowei Jia; Haixiang Huang; Qiong Li; Jiqiang Liu (ICICS (1), 2021)

Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory. - Tong Chen 007; Yingxiao Xiang; Yike Li; Yunzhe Tian; Endong Tong; Wenjia Niu; Jiqiang Liu; Gang Li 009; Qi Alfred Chen (SRDS, 2021)

A Training-Based Identification Approach to VIN Adversarial Examples in Path Planning. - Yingdi Wang; Yunzhe Tian; Jiqiang Liu; Wenjia Niu; Endong Tong (J. Circuits Syst. Comput., 2021)

Towards Revealing Parallel Adversarial Attack on Politician Socialnet of Graph Structure. - Yunzhe Tian; Jiqiang Liu; Endong Tong; Wenjia Niu; Liang Chang 003; Qi Alfred Chen; Gang Li 009; Wei Wang 012 (Secur. Commun. Networks, 2021)

A Hierarchical Energy-Efficient Service Selection Approach With QoS Constraints for Internet of Things. - Endong Tong; Wenjia Niu; Yunzhe Tian; Jiqiang Liu; Thar Baker; Sandeep Verma; Zheli Liu (IEEE Trans. Green Commun. Netw., 2021)

Multiagent Reinforcement Learning-Based Signal Planning for Resisting Congestion Attack in Green Transportation. - Yike Li; Wenjia Niu; Yunzhe Tian; Tong Chen 007; Zhiqiang Xie; Yalun Wu; Yingxiao Xiang; Endong Tong; Thar Baker; Jiqiang Liu (IEEE Trans. Green Commun. Netw., 2022)

Robust Reinforcement Learning via Progressive Task Sequence. - Yike Li; Yunzhe Tian; Endong Tong; Wenjia Niu; Jiqiang Liu (IJCAI, 2023)

Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks. - Yunzhe Tian; Yike Li; Kang Chen; Endong Tong; Wenjia Niu; Jiqiang Liu; Fangyun Qin; Zheng Zheng 001 (ISSREW, 2023)

Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning. - Jiayin Song; Yike Li; Yunzhe Tian; Xingyu Wu; Qiong Li; Endong Tong; Wenjia Niu; Zhenguo Zhang; Jiqiang Liu (KSEM (3), 2024)

Improving the Robustness of Pedestrian Detection in Autonomous Driving With Generative Data Augmentation. - Yalun Wu; Yingxiao Xiang; Endong Tong; Yuqi Ye; Zhibo Cui; Yunzhe Tian; Lejun Zhang; Jiqiang Liu; Zhen Han 001; Wenjia Niu (IEEE Netw., 2024)

Toward Learning Model-Agnostic Explanations for Deep Learning-Based Signal Modulation Classifiers. - Yunzhe Tian; Dongyue Xu; Endong Tong; Rui Sun; Kang Chen; Yike Li; Thar Baker; Wenjia Niu; Jiqiang Liu (IEEE Trans. Reliab., 2024)

Towards Label-Efficient Deep Learning-Based Aging-Related Bug Prediction With Spiking Convolutional Neural Networks. - Yunzhe Tian; Yike Li; Kang Chen; Zhenguo Zhang; Endong Tong; Jiqiang Liu; Fangyun Qin; Zheng Zheng 001; Wenjia Niu (IEEE Trans. Emerg. Top. Comput., 2025)