学术成果 |
① 教材与专著 《多媒体与人工智能安全研究极简综述》,复旦大学出版社,2021. ( 本人负责“第十章 文本隐写”的内容撰写,该书已被国内数家高校选用为多媒体与AI安全学术研讨、文献阅读、研究入门的本科生与研究生教材。) ② 期刊论文 (‘#’表示共同一作,‘*’表示通信作者) [1]. Zhongliang Yang, Guo Xiaoqin, Chen Zimin, Huang Yongfeng* and Zhang Yujin. RNN-stega: Linguistic steganography based on recurrent neural networks[J]. IEEE Transactions on Information Forensics and Security, 2019, 14(5): 1280-1295. (1区, CCF A, TOP, IF = 7.231) [2]. Zhongliang Yang, Zhang Siyu, Hu Yuting, Hu Zhiwen, Huang Yongfeng*. VAE-Stega: Linguistic steganography based on variational auto-encoder[J]. IEEE Transactions on Information Forensics and Security, 2020, 16: 88. (1区, CCF A, TOP, IF = 7.231,ESI 热点论文) [3]. Zhongliang Yang, Hao Yang, Ching-Chun Chang, Yongfeng Huang, Real-Time Steganalysis for Streaming Media Based on Multi-Channel Convolutional Sliding Windows, Knowledge Based System, 2022, 237: 107561. (1区, TOP, IF = 8.139) [4]. Zhiwen Hu#, Zhongliang Yang#, Qi Li#, Yongfeng Huang. Naming the 2019 novel coronavirus. Science (eLetter), 27 February. (共同一作) [5]. Zhiwen Hu#, Jian Zhang#, Yongfeng Huang, Liang Chen, Chuhan Wu#, Zhongliang Yang#. Named nonhumans crossing the line. Science (eLetter), 2019. (共同一作)
[6]. Jinshuai Yang, Zhongliang Yang*, Jiajun Zhou, Haoqin Tu, Yongfeng Huang. Linguistic Steganalysis Toward Social Network. IEEE Transactions on Information Forensics and Security, 2022, 18: 859-871. (1区, CCF A, TOP, IF = 7.231) [7]. Haoqin Tu, Zhongliang Yang*, Jinshuai Yang, Linna Zhou, Yongfeng Huang. FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling. IEEE Transactions on Neural Networks and Learning Systems, 2022. (1区, TOP, IF = 14.255) [8]. Zhongliang Yang, Lingyun Xiang*, Siyu Zhang, Xingming Sun and Yongfeng Huang, Linguistic Generative Steganography with Enhanced Cognitive-Imperceptibility, IEEE Signal Processing Letters, 2021. (2区, CCF C) [9]. Zhongliang Yang, Huang Yongfeng* and Zhang Yujin, "A Fast and Efficient Text Steganalysis Method," in IEEE Signal Processing Letters, vol. 26, no. 4, April 2019. (2区, CCF C) [10]. Zhongliang Yang, Wang Ke, Li Jian, Huang Yongfeng* and Zhang Yujin, "TS-RNN: Text Steganalysis Based on Recurrent Neural Networks", in IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1743-1747, Dec. 2019. (2区, CCF C) [11]. Haoqin Tu, Zhongliang Yang*, Jinshuai Yang, Siyu Zhang, Yongfeng Huang. PCAE: A framework of plug-in conditional auto-encoder for controllable text generation. Knowledge Based System, 2022, 256: 109766. (1区, TOP, IF = 8.139) [12]. Fang Chen, Ziwei Shi, Zhongliang Yang*, Yongfeng Huang. Recurrent synchronization network for emotion-cause pair extraction. Knowledge Based System, 2022. (1区, TOP, IF = 8.139) [13]. Fang Chen, Zhongliang Yang*, Yongfeng Huang. A multi-task learning framework for end-to-end aspect sentiment triplet extraction. Neurocomputing, 2022. [14]. Siyu Zhang, Zhongliang Yang*, Jinshuai Yang, Yongfeng Huang, Linguistic Steganography: From Symbolic Space to Semantic Space, IEEE Signal Processing Letters, 2021, 28, 11-15. (2区, CCF C,Featured Articles) [15]. Jinshuai Yang, Zhongliang Yang*, Siyu Zhang, Haoqin Tu. SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features, IEEE Signal Processing Letters, 2021, 28. (2区, CCF C) [16]. Hao Yang, Zhongliang Yang*, Yongjian Bao, Sheng Liu, Yongfeng Huang*, Fast Steganalysis Method for VoIP Streams, IEEE Signal Processing Letters, 2019, 27, 286-290. (2区, CCF C) [17]. Fulian Yin, Meiqi Ji, Zhongliang Yang, Zhaoliang Wu, Xinyu Xia, Tongtong Xing, Yuwei She, Zhiwen Hu. Exploring the determinants of global vaccination campaigns to combat COVID-19. Humanities and Social Sciences Communications , 2022, 9(1): 1-13. (Nature 子刊) [18] Haochen Qi†, Zhiwen Hu†, Zhongliang Yang, Jian Zhang*, Jie Jayne Wu*, Cheng Cheng, Chunchang Wang, Lei Zheng*. A capacitive aptasensor coupled with microfluidic enrichment for real-time detection of trace SARS-CoV-2 nucleocapsid protein. Analytical Chemistry. 1-21 (2022). (ESI 高被引) ③ 会议论文 (‘#’表示共同一作,‘*’表示通信作者) [1]. Zhongliang Yang, Peng Xueshun, Huang Yongfeng. A sudoku matrix-based method of pitch period steganography in low-rate speech coding[C]//International Conference on Security and Privacy in Communication Systems. Springer, Cham, 2017: 752-762. [2]. Zhongliang Yang, Wei Nan, Liu Qinhe, Huang Yongfeng, Zhang Yujin. GAN-TStega: Text Steganography Based on Generative Adversarial Networks [C]//International Workshop on Digital Watermarking. Springer, Cham, 2019. [3]. Zhongliang Yang, Hu Yuting, Huang Yongfeng, Zhang Yujin. Behavioral Security in Covert Communication Systems [C]//International Workshop on Digital Watermarking. Springer, 2019. [4]. Zhongliang Yang, Wang ke, Ma Sai, Huang Yongfeng, Kang Xiangui, Zhao Xianfeng. IStego100K: Large-scale Image Steganalysis Dataset [C]//International Workshop on Digital Watermarking. Springer, Cham, 2019. [5]. Siyu Zhang, Zhongliang Yang*, et al. Provably Secure Generative Linguistic Steganography. Accepted by the 2021 Conference on Empirical Methods in Natural Language Processing: Findings. [6]. Huili Wang, Zhongliang Yang*, Yuting Hu, Zhen Yang, Yongfeng Huang. Fast Detection of Heterogeneous Parallel Steganography for Streaming Voice. ACM IH&MMSec,2021. ④ 授权专利 [1] 黄永峰,杨忠良,杨震,胡雨婷,袁志刚,武楚涵,基于马尔可夫模型和哈夫曼编码的文本隐写方法及装置。 [2] 黄永峰,杨忠良,王颗,杨震,胡雨婷,武楚涵,基于循环神经网络的文本隐写检测方法及系统。 [3] 黄永峰,杨浩,杨忠良,鲍永健,基于层次注意力网络模型的语音流隐写分析方法及系统。 |