学术论文

Table of Contents

期刊论文–董理

  • Li Dong, Jiantao Zhou, Yuan Yan Tang, “Content-Adaptive Noise Estimation for Color Images with Cross-Channel Noise Modeling”, IEEE Transactions on Image Processing (T-IP), vol. 28, no. 8, pp. 4161 - 4176, Aug. 2019.(CCF-A)

  • Li Dong, Jiantao Zhou, Yuan Yan Tang, “Effective and Fast Estimation for Image Sensor Noise via Constrained Weighted Least Squares”,IEEE Transactions on Image Processing (T-IP), vol 27, no. 6, pp. 2715-2730, June. 2018.(CCF-A)

  • Li Dong, Jiantao Zhou, Yuan Yan Tang, “Noise Level Estimation for Natural Images Based on Scale-Invariant Kurtosis and Piecewise Stationarity”, IEEE Transactions on Image Processing (T-IP), vol. 26, no. 2, pp. 1017-1030, Feb. 2017.(CCF-A)

  • Li Dong,Jiantao Zhou, Weiwei Sun, Diqun Yan, Rangding Wang, “First Steps Toward Concealing the Traces Left by Reversible Image Data Hiding”, IEEE Transactions on Circuits and Systems II: Express Briefs (T-CAS II), vol. 67, no. 5, pp. 951-955, May 2020.

  • Weiwei Sun, Jiantao Zhou, Li Dong, Jinyu Tian, Jun Liu, “Optimal Pre-filtering for Improving Facebook Shared Images”,IEEE Transactions on Image Processing (T-IP), Accepted, June, 2021.(CCF-A)

  • Jiantao Zhou, Weiwei Sun, Li Dong, Xianming Liu, Oscar C. Au, Yuan Yan Tang, “Secure Reversible Image Data Hiding over Encrypted Domain via Key Modulation”, IEEE Transactions on Circuits and System for Video Technology (T-CSVT) , vol. 26, no. 3, pp. 441–452, Mar. 2016. (CCF-B)

  • Yuanman Li, Jiantao Zhou, Junyang Chen, Jinyu Tian, Li Dong, Xia Li. “Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion”, IEEE Transactions on Computational Social Systems (T-CSS) . Accepted, Dec. 2021.(CCF-C)

  • Donghua Wang,Li Dong, Rangding Wang, Diqun Yan “Fast Speech Adversarial Example Generation for Keyword Spotting System with Conditional GAN”, Accepted to Computer Communication, August 2021. (CCF-C)

  • Yuzhen Lin, Rangding Wang, Diqun Yan, Li Dong,“Tackling the Cover Source Mismatch Problem in Audio Steganalysis with Unsupervised Domain Adaptation”, Accepted to IEEE Signal Processing Letters (SPL), August 2020. (CCF-C)

  • Diqun Yan, Xiaowen Li, Li Dong, Rangding Wang, “An Antiforensic Method against AMR Compression Detection”, Security and Communication Networks, vol. 2020, 02 Sep, 2020. (CCF-C)

  • Donghua Wang, Li Dong, Rangding Wang, Diqun Yan, Jie Wang, “Targeted Speech Adversarial Example Generation with Generative Adversarial Network”, IEEE Access , vol. 8, pp. 124503 – 124513, June. 2020.

  • Jiacheng Deng, Li Dong, Rangding Wang, Rui Yang, Diqun Yan, “Decision-Based Attack to Speaker Recognition System via Local Low-Frequency Perturbation,” IEEE Signal Processing Letters (SPL), vol. 29, pp. 1432-1436, June 2022. (CCF-C)

  • Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng, “Semi-Supervised Semantic Segmentation with Cross Teacher Training”, Neurocomputing, vol 508, pp. 36-46. Aug. 2022. (CCF-C)

会议论文–董理

  • Jiale Chen, Li Dong, Rangding Wang, Diqun Yan, Weiwei Sun and Hang-Yu Fan, “Physical Anti-Copying Semi-Robust Random Watermarking for QR Code”, International Workshop on Digital-forensics and Watermarking (IWDW 2022), 18-19 Nov. 2022. Oral Presentation.
  • JiaCheng Deng, Terui Mao, Diqun Yan, Li Dong, Mingyu Dong, “Detection of Synthetic Speech Based on Spectrum Defects”, ACM Multimedia-International Workshop on Deepfake Detection for Audio Multimedia (ACM MM-Workshop), Oct. 14, 2022. Oral Presentation. (CCF-A Workshop)
  • Weipeng Liang, Li Dong, Rangding Wang, Diqun Yan, Yuanman Li, “Robust Document Image Forgery Localization Against Image Blending”, International Conferences on Trust, Security and Privacy in Computing and Communications (TrustCom), Accepted. Oral Presentation, 2022. (CCF-C)
  • Ce Xie, Yuanman Li, Rongqin Liang, Li Dong, and Xia Li, “Synchronous Bi-Directional Pedestrian Trajectory Prediction with Error Compensation”, Asian Conference on Computer Vision (ACCV), Poster, Nov. 2022. (CCF-C)
  • Ning Lu, Li Dong, Diqun Yan, Xianliang Jiang, “On Attacking Deep Image Quality Evaluator via Spatial Transform”,IEEE International Conference on Systems, Man, and Cybernetics (SMC) , Oral Presentation, 2022. (CCF-C)
  • Li Dong, Jiale Chen, Chengbin Peng, Yuanman Li, Weiwei Sun, “Watermark-preserving Keypoint Enhancement for Screen-Shooting Resilient Watermarking”, IEEE International Conference on Multimedia & Expo (ICME), July 18-22, 2022, Taipei, Taiwan. Oral Presentation (Top 15% Paper). (CCF-B)
  • Li Dong, Jie Wang, Rangding Wang, Yuanman Li, Weiwei Sun, “Towards Image Data Hiding via Facial Stego Synthesis with Generative Model”. International Joint Conference on Artificial Intelligence - International Workshop on Safety & Security of Deep Learning (IJCAI -Workshop), August 21-26, 2021. Oral Presentation. (CCF-A Workshop)
  • Li Dong, Jiantao Zhou, Weiwei Sun, Diqun Yan, Rangding Wang, “First Steps Toward Concealing the Traces Left by Reversible Image Data Hiding”, IEEE International Symposium on Circuits & Systems (ISCAS), May 17-20, 2020. Seville, Spain. Lecture Presentation. (CCF-C)
  • Jie Wang, Rangding Wang, Li Dong, and Diqun Yan, Robust, Imperceptible and End-To-End Audio Steganography Based on CNN , International Conference on Security and Privacy in Digital Economy (SPDE), Quzhou, China, Oct. 30 – Nov. 1, 2020. Best Student Paper Award
  • Li Dong, Jiantao Zhou, Cuiming Zou, Yulong Wang, “Iterative First-Order Reverse Image Filtering”, ACM TURC Conference on Artificial Intelligence and Security (TURC-AIS), 17-19 May 2019, Chengdu, China.
  • Li Dong, Jiantao Zhou, Tao Dai, “Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling”, IEEE International Conference on Multimedia and Expo (ICME), 23-27 July 2018, San Diego, USA. Oral (Top 15% Paper)(CCF-B)
  • Li Dong, Jiantao Zhou, “Locally Adaptive Noise Covariance Estimation for Color Images”, International Forum on Digital TV and Wireless Multimedia Communications (IFTC), pp. 91-105, 20-23 September, Shanghai, China. Oral.
  • Li Dong, Jiantao Zhou, Guangtao Zhai, “Efficient Image Sensor Noise Estimation via Iterative Re-weighted Least Square”,IEEE International Conference on Multimedia and Expo (ICME), 10-15 July 2017, Hong Kong, China. (CCF-B)
  • Li Dong, Jiantao Zhou, “Estimating Noise Level for Natural Images Based on Scale-Invariant Kurtosis and Piecewise Stationarity”, IEEE International Conference on Image Processing (ICIP), pp. 4393-4397, 25-28 September 2016, Phoenix, U.S. (CCF-C)
  • Li Dong,Jiantao Zhou, “Noise-Robust SLIC Superpixel for Natural Images”, IEEE International Conference on Cloud Computing and Big Data (CCBD), pp. 335-340, 16-18 November 2016, Macau, China.
  • Li Dong,Jiantao Zhou, Yuan Yan Tang, Xianming Liu, “Estimation of Capacity Parameters for Dynamic Histogram Shifting (DHS)-based Reversible Image Watermarking”, IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 14-18 July 2014. (CCF-B)
  • Li Dong, Jian Wang, Yuanman Li, Yuan Yan Tang, “Sector Projection Fourier Descriptor for Character Recognition”, IEEE International Conference on Cybernetics, Oral Presentation, pp.162-167, 13-15 June 2013, Lausanne, Switzerland.

期刊论文–严迪群

  • Kailai Shen, Diqun Yan, Li Dong: MSQAT: A multi-dimension non-intrusive speech quality assessment transformer utilizing self-supervised representations. Applied Acoustics, 212:109584 (2023)
  • Kailai Shen, Diqun Yan, Zhe Ye, Xianbo Xu, JinXing Gao, Li Dong, Chengbin Peng & Kun Yang: Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM. Signal, Image and Video Processing, 17: 3377-3385 (2023)
  • Lang Chen, Rangding Wang, Li Dong, Diqun Yan: Imperceptible adversarial audio steganography based on psychoacoustic model. Multimedia Tools and Applications, 82:26451-26463 (2023)
  • Zhe Ye, Diqun Yan, Li Dong, Jiacheng Deng, Shui Yu: Stealthy Backdoor Attack Against Speaker Recognition Using Phase-Injection Hidden Trigger. IEEE Signal Processing Letters, 30:1057-1061 (2023)
  • Mingyu Dong, Diqun Yan, Yongkang Gong: Adversarial example devastation and detection on speech recognition system by adding random noise. Journal of the Audio Engineering Society, 71(1-2): 34-44 (2023)
  • Mingyu Dong, Diqun Yan, Rangding Wang: Adversarial examples protect your privacy on speech enhancement system. Computer Systems Science and Engineering, 46(1), 1-12 (2023)
  • Jinxing Gao, Diqun Yan, Mingyu Dong: Black-box adversarial attacks through speech distortion for speech emotion recognition. EURASIP J. Audio Speech Music. Process., 2022(1): 20 (2022)
  • Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng: Semi-supervised semantic segmentation with cross teacher training. Neurocomputing, 508: 36-46 (2022)
  • Yi Xie, Xianliang Jiang, Guang Jin, Ziyi Jiang, Diqun Yan: NLPC: A nimble low-priority congestion control algorithm for high-speed and lossy networks. J. King Saud Univ. Comput. Inf. Sci., 34(Issue 10, Part B): 9052-9059 (2022)
  • Jiacheng Deng, Li Dong, Rangding Wang, Rui Yang, Diqun Yan: Decision-Based Attack to Speaker Recognition System via Local Low-Frequency Perturbation. IEEE Signal Process. Lett., 29: 1432-1436 (2022)
  • Tianyun Liu, Diqun Yan, Nan Yan, Gang Chen: Anti-forensics of fake stereo audio using generative adversarial network. Multim. Tools Appl., 81(12): 17155-17167 (2022)
  • Kaiyu Ying, Rangding Wang, Yuzhen Lin, Diqun Yan: Adaptive Audio Steganography Based on Improved Syndrome-Trellis Codes. IEEE Access, 9: 11705-11715 (2021)
  • Lang Chen, Rangding Wang, Diqun Yan, Jie Wang: Learning to Generate Steganographic Cover for Audio Steganography Using GAN. IEEE Access, 9: 88098-88107 (2021)
  • Donghua Wang, Li Dong, Rangding Wang, Diqun Yan: Fast speech adversarial example generation for keyword spotting system with conditional GAN. Comput. Commun., 179: 145-156 (2021)
  • Jie Wang, Rangding Wang, Li Dong, Diqun Yan, Xueyuan Zhang, Yuzhen Lin: Towards breaking DNN-based audio steganalysis with GAN. Int. J. Auton. Adapt. Commun. Syst., 14(4): 371-383 (2021)
  • Tianyun Liu, Diqun Yan, Rangding Wang, Nan Yan, Gang Chen: Identification of Fake Stereo Audio Using SVM and CNN. Inf., 12(7): 263 (2021)
  • Yuzhen Lin, Rangding Wang, Li Dong, Diqun Yan, Jie Wang: Tackling the Cover Source Mismatch Problem in Audio Steganalysis With Unsupervised Domain Adaptation. IEEE Signal Process. Lett., 28: 1475-1479 (2021)
  • Diqun Yan, Mingyu Dong, Jinxing Gao: Exposing Speech Transsplicing Forgery with Noise Level Inconsistency. Security and Communication Networks, 6659271: 1-6 (2021)
  • Diqun Yan, Yongkang Gong, Tianyun Liu: Antiforensics of Speech Resampling Using Dual-Path Strategy. Wireless Communications and Mobile Computing, 6649196: 1-8 (2021)
  • Diqun Yan, Xiaowen Li, Li Dong, Rangding Wang: An Antiforensic Method against AMR Compression Detection. Security and Communication Networks, 8849902: 1-8 (2020)
  • Donghua Wang, Li Dong, Rangding Wang, Diqun Yan, Jie Wang: Targeted Speech Adversarial Example Generation With Generative Adversarial Network. IEEE Access, 8: 124503-124513 (2020)
  • Xueyuan Zhang, Rangding Wang, Diqun Yan, Li Dong, Yuzhen Lin:Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation. IEEE Access, 8: 61754-61766 (2020)
  • Heng Yu, Rangding Wang, Li Dong, Diqun Yan, Yongkang Gong, Yuzhen Lin: A High-Capacity Reversible Data Hiding Scheme Using Dual-Channel Audio. IEEE Access, 8: 162271-162278 (2020)
  • Biaoli Tao, Rangding Wang, Diqun Yan, Chao Jin: Anti-Forensics of Double Compressed MP3 Audio. International Journal of Digital Crime and Forensics, 12(3): 45-57 (2020)
  • Dong Li, Jiantao Zhou, Diqun Yan, Rangding Wang: First Steps Toward Concealing the Traces Left by Reversible Image Data Hiding. IEEE Transactions on Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2020.2981550 (2020)
  • Yongchao Ye, Lingjie Lao, Diqun Yan*, Rangding Wang: Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network. International Journal of Digital Multimedia Broadcasting, 8927031: 1-10 (2020)
  • Xiaowen Li, Diqun Yan*, Li Dong, Rangding Wang: Anti-Forensics of Audio Source Identification Using Generative Adversarial Network. IEEE Access, 7(1): 184332-184339 (2019)
  • Diqun Yan*, Li Xiang, Zhifeng Wang, Rangding Wang: Detection of HMM Synthesized Speech by Wavelet Logarithmic Spectrum. Automatic Control and Computer Sciences, 53(1): 72-79 (2019)
  • Chao Jin, Rangding Wang, Diqun Yan: Source smartphone identification by exploiting encoding characteristics of recorded speech. Digital Investigation 29: 129-146 (2019)
  • Zhifeng Wang, Diqun Yan*, Rangding Wang, Li Xiang and Tingting Wu: Speech Resampling Detection Based on Inconsistency of Band Energy. CMC: Computers, Materials & Continua 56(2): 247-259 (2018)
  • Qijuan Huang, Rangding Wang, Diqun Yan, Jian Zhang: AAC Double Compression Audio Detection Algorithm Based on the Difference of Scale Factor. Information 9(7): 161 (2018)
  • Tianyun Qin, Rangding Wang, Diqun Yan, Lang Lin: Source Cell-Phone Identification in the Presence of Additive Noise from CQT Domain. Information 9(8): 205 (2018)
  • Diqun Yan*, Rangding Wang, Jinglei Zhou, Chao Jin, Zhifeng Wang: Compression history detection for MP3 audio. TIIS 12(2): 662-675 (2018)
  • Chao Jin, Rangding Wang, Diqun Yan: Steganalysis of MP3Stego with low embedding-rate using Markov feature. Multimedia Tools Appl. 76(5): 6143-6158 (2017)
  • Chao Jin, Rangding Wang, Diqun Yan, Pengfei Ma, Jinglei Zhou: An efficient algorithm for double compressed AAC audio detection. Multimedia Tools Appl. 75(8): 4815-4832 (2016)
  • Xianmin Yu, Rangding Wang, Diqun Yan, Pengfei Ma: Detecting Fake-Quality MP3 based on Huffman Table Index. JSW 9(4): 907-912 (2014)
  • Pengfei Ma, Rangding Wang, Diqun Yan, Chao Jin: Detecting double-compressed MP3 with the Same Bit-rate. JSW 9(10): 2522-2527 (2014)
  • Juan Li, Rangding Wang, Diqun Yan, Youming Li: A multipurpose audio aggregation watermarking based on multistage vector quantization. Multimedia Tools Appl. 68(3): 571-593 (2014)
  • Diqun Yan*, Rangding Wang: Detection of MP3Stego exploiting recompression calibration-based feature. Multimedia Tools Appl. 72(1): 865-878 (2014)
  • Diqun Yan*, Rangding Wang, Xianmin Yu, Jie Zhu: Steganalysis for MP3Stego using differential statistics of quantization step. Digital Signal Processing 23(4): 1181-1185 (2013)
  • Xianmin Yu, Rangding Wang, Diqun Yan: Detecting MP3Stego using calibrated side information features. JSW 8(10): 2628-2636 (2013)
  • Diqun Yan*, Rangding Wang, Xianmin Yu, Jie Zhu: Steganography for MP3 audio by exploiting the rule of window switching. Computers & Security 31(5): 704-716 (2012)
  • Diqun Yan*, Rangding Wang: Huffman table swapping-based steganograpy for MP3 audio. Multimedia Tools Appl. 52(2-3): 291-305 (2011)
  • Diqun Yan*, Rangding Wang, Liguang Zhang: Quantization Step Parity-based Steganography for MP3 Audio. Fundam. Inform. 97(1-2): 1-14 (2009)

会议论文–严迪群

  • Kailai Shen, Diqun Yan, Li Dong: MSQAT: A multi-dimension non-intrusive speech quality assessment transformer utilizing self-supervised representations. Applied Acoustics, 212:109584 (2023)
  • Kailai Shen, Diqun Yan, Zhe Ye, Xianbo Xu, JinXing Gao, Li Dong, Chengbin Peng & Kun Yang: Non-intrusive speech quality assessment with attention-based ResNet-BiLSTM. Signal, Image and Video Processing, 17: 3377-3385 (2023)
  • Lang Chen, Rangding Wang, Li Dong, Diqun Yan: Imperceptible adversarial audio steganography based on psychoacoustic model. Multimedia Tools and Applications, 82:26451-26463 (2023)
  • Zhe Ye, Diqun Yan, Li Dong, Jiacheng Deng, Shui Yu: Stealthy Backdoor Attack Against Speaker Recognition Using Phase-Injection Hidden Trigger. IEEE Signal Processing Letters, 30:1057-1061 (2023)
  • Mingyu Dong, Diqun Yan, Yongkang Gong: Adversarial example devastation and detection on speech recognition system by adding random noise. Journal of the Audio Engineering Society, 71(1-2): 34-44 (2023)
  • Mingyu Dong, Diqun Yan, Rangding Wang: Adversarial examples protect your privacy on speech enhancement system. Computer Systems Science and Engineering, 46(1), 1-12 (2023)
  • Jinxing Gao, Diqun Yan, Mingyu Dong: Black-box adversarial attacks through speech distortion for speech emotion recognition. EURASIP J. Audio Speech Music. Process., 2022(1): 20 (2022)
  • Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng: Semi-supervised semantic segmentation with cross teacher training. Neurocomputing, 508: 36-46 (2022)
  • Yi Xie, Xianliang Jiang, Guang Jin, Ziyi Jiang, Diqun Yan: NLPC: A nimble low-priority congestion control algorithm for high-speed and lossy networks. J. King Saud Univ. Comput. Inf. Sci., 34(Issue 10, Part B): 9052-9059 (2022)
  • Jiacheng Deng, Li Dong, Rangding Wang, Rui Yang, Diqun Yan: Decision-Based Attack to Speaker Recognition System via Local Low-Frequency Perturbation. IEEE Signal Process. Lett., 29: 1432-1436 (2022)
  • Tianyun Liu, Diqun Yan, Nan Yan, Gang Chen: Anti-forensics of fake stereo audio using generative adversarial network. Multim. Tools Appl., 81(12): 17155-17167 (2022)
  • Kaiyu Ying, Rangding Wang, Yuzhen Lin, Diqun Yan: Adaptive Audio Steganography Based on Improved Syndrome-Trellis Codes. IEEE Access, 9: 11705-11715 (2021)
  • Lang Chen, Rangding Wang, Diqun Yan, Jie Wang: Learning to Generate Steganographic Cover for Audio Steganography Using GAN. IEEE Access, 9: 88098-88107 (2021)
  • Donghua Wang, Li Dong, Rangding Wang, Diqun Yan: Fast speech adversarial example generation for keyword spotting system with conditional GAN. Comput. Commun., 179: 145-156 (2021)
  • Jie Wang, Rangding Wang, Li Dong, Diqun Yan, Xueyuan Zhang, Yuzhen Lin: Towards breaking DNN-based audio steganalysis with GAN. Int. J. Auton. Adapt. Commun. Syst., 14(4): 371-383 (2021)
  • Tianyun Liu, Diqun Yan, Rangding Wang, Nan Yan, Gang Chen: Identification of Fake Stereo Audio Using SVM and CNN. Inf., 12(7): 263 (2021)
  • Yuzhen Lin, Rangding Wang, Li Dong, Diqun Yan, Jie Wang: Tackling the Cover Source Mismatch Problem in Audio Steganalysis With Unsupervised Domain Adaptation. IEEE Signal Process. Lett., 28: 1475-1479 (2021)
  • Diqun Yan, Mingyu Dong, Jinxing Gao: Exposing Speech Transsplicing Forgery with Noise Level Inconsistency. Security and Communication Networks, 6659271: 1-6 (2021)
  • Diqun Yan, Yongkang Gong, Tianyun Liu: Antiforensics of Speech Resampling Using Dual-Path Strategy. Wireless Communications and Mobile Computing, 6649196: 1-8 (2021)
  • Diqun Yan, Xiaowen Li, Li Dong, Rangding Wang: An Antiforensic Method against AMR Compression Detection. Security and Communication Networks, 8849902: 1-8 (2020)
  • Donghua Wang, Li Dong, Rangding Wang, Diqun Yan, Jie Wang: Targeted Speech Adversarial Example Generation With Generative Adversarial Network. IEEE Access, 8: 124503-124513 (2020)
  • Xueyuan Zhang, Rangding Wang, Diqun Yan, Li Dong, Yuzhen Lin:Selecting Optimal Submatrix for Syndrome-Trellis Codes (STCs)-Based Steganography With Segmentation. IEEE Access, 8: 61754-61766 (2020)
  • Heng Yu, Rangding Wang, Li Dong, Diqun Yan, Yongkang Gong, Yuzhen Lin: A High-Capacity Reversible Data Hiding Scheme Using Dual-Channel Audio. IEEE Access, 8: 162271-162278 (2020)
  • Biaoli Tao, Rangding Wang, Diqun Yan, Chao Jin: Anti-Forensics of Double Compressed MP3 Audio. International Journal of Digital Crime and Forensics, 12(3): 45-57 (2020)
  • Dong Li, Jiantao Zhou, Diqun Yan, Rangding Wang: First Steps Toward Concealing the Traces Left by Reversible Image Data Hiding. IEEE Transactions on Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2020.2981550 (2020)
  • Yongchao Ye, Lingjie Lao, Diqun Yan*, Rangding Wang: Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network. International Journal of Digital Multimedia Broadcasting, 8927031: 1-10 (2020)
  • Xiaowen Li, Diqun Yan*, Li Dong, Rangding Wang: Anti-Forensics of Audio Source Identification Using Generative Adversarial Network. IEEE Access, 7(1): 184332-184339 (2019)
  • Diqun Yan*, Li Xiang, Zhifeng Wang, Rangding Wang: Detection of HMM Synthesized Speech by Wavelet Logarithmic Spectrum. Automatic Control and Computer Sciences, 53(1): 72-79 (2019)
  • Chao Jin, Rangding Wang, Diqun Yan: Source smartphone identification by exploiting encoding characteristics of recorded speech. Digital Investigation 29: 129-146 (2019)
  • Zhifeng Wang, Diqun Yan*, Rangding Wang, Li Xiang and Tingting Wu: Speech Resampling Detection Based on Inconsistency of Band Energy. CMC: Computers, Materials & Continua 56(2): 247-259 (2018)
  • Qijuan Huang, Rangding Wang, Diqun Yan, Jian Zhang: AAC Double Compression Audio Detection Algorithm Based on the Difference of Scale Factor. Information 9(7): 161 (2018)
  • Tianyun Qin, Rangding Wang, Diqun Yan, Lang Lin: Source Cell-Phone Identification in the Presence of Additive Noise from CQT Domain. Information 9(8): 205 (2018)
  • Diqun Yan*, Rangding Wang, Jinglei Zhou, Chao Jin, Zhifeng Wang: Compression history detection for MP3 audio. TIIS 12(2): 662-675 (2018)
  • Chao Jin, Rangding Wang, Diqun Yan: Steganalysis of MP3Stego with low embedding-rate using Markov feature. Multimedia Tools Appl. 76(5): 6143-6158 (2017)
  • Chao Jin, Rangding Wang, Diqun Yan, Pengfei Ma, Jinglei Zhou: An efficient algorithm for double compressed AAC audio detection. Multimedia Tools Appl. 75(8): 4815-4832 (2016)
  • Xianmin Yu, Rangding Wang, Diqun Yan, Pengfei Ma: Detecting Fake-Quality MP3 based on Huffman Table Index. JSW 9(4): 907-912 (2014)
  • Pengfei Ma, Rangding Wang, Diqun Yan, Chao Jin: Detecting double-compressed MP3 with the Same Bit-rate. JSW 9(10): 2522-2527 (2014)
  • Juan Li, Rangding Wang, Diqun Yan, Youming Li: A multipurpose audio aggregation watermarking based on multistage vector quantization. Multimedia Tools Appl. 68(3): 571-593 (2014)
  • Diqun Yan*, Rangding Wang: Detection of MP3Stego exploiting recompression calibration-based feature. Multimedia Tools Appl. 72(1): 865-878 (2014)
  • Diqun Yan*, Rangding Wang, Xianmin Yu, Jie Zhu: Steganalysis for MP3Stego using differential statistics of quantization step. Digital Signal Processing 23(4): 1181-1185 (2013)
  • Xianmin Yu, Rangding Wang, Diqun Yan: Detecting MP3Stego using calibrated side information features. JSW 8(10): 2628-2636 (2013)
  • Diqun Yan*, Rangding Wang, Xianmin Yu, Jie Zhu: Steganography for MP3 audio by exploiting the rule of window switching. Computers & Security 31(5): 704-716 (2012)
  • Diqun Yan*, Rangding Wang: Huffman table swapping-based steganograpy for MP3 audio. Multimedia Tools Appl. 52(2-3): 291-305 (2011)
  • Diqun Yan*, Rangding Wang, Liguang Zhang: Quantization Step Parity-based Steganography for MP3 Audio. Fundam. Inform. 97(1-2): 1-14 (2009)