Artificial Intelligence Security

• Li Yang, Pan Quan, Feng Zhaowen, et al. Few pixels attacks with generative model[J]. Pattern Recognition, 2023, 144: 109849. [Paper]
• Tan Wenyi, Li Yang, Zhao Chenxing, et al. DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation[J]. arXiv preprint arXiv:2312.16907, 2023. [Paper]
• Li Xiangjuan, Li Feifan, Li Yang, Pan Quan. PGN: A perturbation generation network against deep reinforcement learning[C]. ICTAI, 2023. [Paper]
• Li Yang, Wu Dongrui, Wang Suhang. Future-Generation Attack and Defense in Neural Networks[J]. Future Generation Computer Systems, 2023.
• Li Xiangjuan, Li Yang, Feng Zhaowen, et al. ATS-O2A: A state-based adversarial attack strategy on deep reinforcement learning[J]. Computers & Security, 2023, 129: 103259. [Paper]
• Li Yang, Pan Quan, Cambria Erik. Deep-attack over the deep reinforcement learning[J]. Knowledge-Based Systems, 2022, 250: 108965. [Paper]
• Li Yang, Pan Quan, Wang Suhang, et al. Disentangled variational auto-encoder for semi-supervised learning[J]. Information Sciences, 2019, 482: 73-85. [Paper]

UAV Security

• Wu Shihao, Li Yang, Wang Zhaoxuan, et al. A Highly Interpretable Framework for Generic Low-Cost UAV Attack Detection[J]. IEEE Sensors Journal, 2023, 23(7): 7288-7300. [Paper]
• Wang Zhaoxuan, Li Yang, Wu Shihao, et al. A survey on cybersecurity attacks and defenses for unmanned aerial systems[J]. Journal of Systems Architecture, 2023, 138: 102870. [Paper]
• 潘泉，郭亚宁，吕洋，李扬，谈政. 无人机系统自主安全: 定义、建模与分级[J]. 中国科学：信息科学, 2023, 53(8): 1608-1628. [Paper]
• Zhang Xiaoxuan, Li Yang, Pan Quan, et al. Triple Loss Adversarial Domain Adaptation Network for Cross-Domain Sea–Land Clutter Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
• Li Yang, Wu Shihao, Pan Quan. Network Security in the Industrial Control System: A Survey[J]. arXiv preprint arXiv:2308.03478, 2023.
• Miao Shangting, Li Yang, Pan Quan. A Preliminary Study of UAV Cyber Traffic Playback Based on SDN[C]//2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2023: 1-5.
• Miao Shangting, Li Yang, Pan Quan. Honeypot Active Defense Technology for UAV Cyber Range[C]//2022 China Automation Congress (CAC). IEEE, 2022: 30-35.
• 王兆轩, 李扬, 吕洋, 等. 无人机系统信息安全前沿技术发展趋势[J]. 软件导刊, 2021.

Recommendation Systems

• Li Yang, Liu Kangbo, Satapathy Ranjan, et al. Recent Developments in Recommender Systems: A Survey[J]. arXiv preprint arXiv:2306.12680, 2023.
• Liu Kangbo, Li Yang, Wu Yaoxin, et al. Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation[J]. arXiv preprint arXiv:2312.11018, 2023. [Paper]
• Li Yang, Wang Suhang, Ma Yukun, et al. Popularity prediction on vacation rental websites[J]. Neurocomputing, 2020, 412: 372-380. [Paper]
• Li Yang, Wang Suhang, Pan Quan, et al. Learning binary codes with neural collaborative filtering for efficient recommendation systems[J]. Knowledge-Based Systems, 2019, 172: 64-75. [Paper]
• Li Yang, Wang Suhang, Yang Tao, et al. Price recommendation on vacation rental websites[C]//Proceedings of the 2017 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2017: 399-407. [Paper]
• Li Yang, Pan Quan, Yang Tao, et al. Reasonable price recommendation on Airbnb using Multi-Scale clustering[C]//2016 35th Chinese Control Conference (CCC). IEEE, 2016: 7038-7041. [Paper]

Natural Language Processing

• Li Yang, Kazemeini A, Mehta Y, et al. Multitask learning for emotion and personality traits detection[J]. Neurocomputing, 2022, 493: 340-350. [Paper]
• Li Wei, Li Yang, Pandelea Vlad, et al. ECPEC: emotion-cause pair extraction in conversations[J]. IEEE Transactions on Affective Computing, 2022.
• Li Yang, Zhao Wei, Cambria Erik, et al. Graph routing between capsules[J]. Neural Networks, 2021, 143: 345-354. [Paper]
• Peng H, Ma Y, Poria S, et al. Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning[J]. Information Fusion, 2021, 70: 88-99.
• Cambria Erik, Li Yang, Xing Frank Zhutian, et al. SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis[C]//Proceedings of the 29th ACM international conference on information & knowledge management. 2020: 105-114.
• Peng Haiyun, Poria So, Li Yang, et al. Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis[C]//International Conference on Computational Linguistics and Intelligent Text Processing. Cham: Springer Nature Switzerland, 2019: 151-165.
• Satapathy Ranjan, Li Yang, Cavallari S, et al. Seq2seq deep learning models for microtext normalization[C]//2019 international joint conference on neural networks (IJCNN). IEEE, 2019: 1-8.
• Li Yang, Pan Quan, Wang Suhang, et al. A generative model for category text generation[J]. Information Sciences, 2018, 450: 301-315.
• Peng Haiyun, Ma Yukun, Li Yang, et al. Learning multi-grained aspect target sequence for Chinese sentiment analysis[J]. Knowledge-Based Systems, 2018, 148: 167-176.
• Li Yang, Yang Tao. Word embedding for understanding natural language: a survey[J]. Guide to big data applications, 2018: 83-104.
• Li Yang, Pan Quan, Yang Tao, et al. Learning word representations for sentiment analysis[J]. Cognitive Computation, 2017, 9: 843-851.