Zheling Meng's HomePage
website picture

Welcome to my homepage!

I am pursing my Ph.D at New Laboratory of Pattern Recognition (NLPR), State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences.

My research interests include Computer Vision and AIGC safety. Recently, I focus on defense against content risks of T2I/T2V diffusion models, especially with the help of concept erasure and LLM/VLM.

Feel free to contact with me for communication and cooperation (Email: zheling.meng@cripac.ia.ac.cn).




Educations

  • 2023.09 - now     Ph.D. Candidate     Institute of Automation, Chinese Academy of Sciences
    • Work in Computer Science at New Laboratory of Pattern Recognition (NLPR) & State Key Laboratory of Multimodal Artificial Intelligence Systems
    • Research in AIGC safety (Supervised by Prof. Tieniu Tan, Academician of Chinese Academy of Sciences)
  • 2020.09 - 2023.06     M.S.     Institute of Automation, Chinese Academy of Sciences
    • Receive M.S. in Pattern Recognition and Intelligent Systems at CAS Key Laboratory of Moleculer Imaging.
    • Research in ultrasound medical image analysis (Supervised by Prof. Kun Wang)
  • 2016.09 - 2020.06     Double B.S.     Xi'an Jiaotong University
    • Receive Double B.S. in Information Engineering at School of Information and Communication Engineering and in Finance at School of Economics and Finance.

Publications

  1. Zheling Meng#, Yangyang Zhu#, Wenjing Pang, Jie Tian, Fang Nie*, Kun Wang*. MSMFN: An Ultrasound Based Multi-step Modality Fusion Network for Identifying the Histologic Subtypes of Metastatic Cervical Lymphadenopathy. IEEE Transactions on Medical Imaging (TMI), 42(4):996-1008, 2022. (JCR Q1，IF 11.037).
  2. Zheling Meng#, Yangyang Zhu#, Xiao Fan, Jie Tian, Fang Nie*, Kun Wang*. CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound. IEEE International Symposium on Biomedical Imaging (ISBI), pp.1-5, Full Paper, 2022. (EI).
  3. Yangyang Zhu#, Zheling Meng#, Xiao Fan, Yin Duan, Yingying Jia, Tiantian Dong, Yanfang Wang, Juan Song, Jie Tian, Kun Wang*, Fang Nie*. Deep Learning Radiomics of Dual-modality Ultrasound Images for Hierarchical Diagnosis of Unexplained Cervical Lymphadenopathy. BMC Medicine, 20(1): 269-281, 2022. (JCR Q1，IF 11.150).
  4. Mingbo Zhang#, Zheling Meng#, Yi Mao, Xue Jiang, Ning Xu, Qinghua Xu, Jie Tian, Yukun Luo*, Kun Wang*. Cervical Lymph Node Metastasis Prediction from Papillary Thyroid Carcinoma US Videos: A Prospective Multicenter Study. BMC Medicine, 22(1): 1-13, 2024. (JCR Q1，IF 11.150).
  5. Yangyang Zhu#, Zheling Meng# et al. Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study. European Journal of Ultrasound (JCR Q1, IF 5.445)
  6. Haoyan Zhang, Zheling Meng, Jinyu Ru, Yaqing Meng, and Kun Wang*. Application and prospects of AI-based radiomics in ultrasound diagnosis. Visual Computing for Industry, Biomedicine, and Art, 6(1): 1-16, 2023. (IF 5.600).
  7. Chong Zhang, Jionghui Gu, Yangyang Zhu, Zheling Meng, Tong Tong, Dongyang Li, Zhenyu Liu, Yang Du, Kun Wang, Jie Tian*. AI in spotting high-risk characteristics of medical imaging and molecular pathology. Precision Clinical Medicine, 4(4): 271-286, 2021. (IF 5.300).
Co-first Author#, Corresponding Author*

Preprint Publications

  1. Zheling Meng, Bo Peng, Jing Dong*, Tieniu Tan. Artifact Feature Purification for Cross-domain Detection of AI-generated Images. arXiv preprint arXiv:2403.11172, 2024.
  2. Zheling Meng, Bo Peng, Jing Dong*. Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space. arXiv preprint arXiv:2404.00230, 2024.
Co-first Author#, Corresponding Author*

Patents

  1. 一种生成图像检测方法、装置、电子设备和存储介质. 申请时间：2023-12-29；申请号：CN117934922A. 董晶; 王伟; 彭勃; 王建文; 孟哲令. (The work at CASIA)
  2. 图像的数据清洗方法、装置、电子设备及存储介质. 申请时间：2022-06-22；申请号：CN115205553A. 孟哲令; 刘诗男; 侯军; 伊帅. (The work at SenseTime)
  3. 一种多视频节目匹配方法. 申请时间：2020-06-03；授权时间：2022-10-25；授权号：CN111737525B. 曹俊; 孟哲令; 吴长丽. (The work at Xi'an Jiaotong University)

Awards and Honors

  1. Pacemaker to Merit Student, University of Chinese Academy of Sciences, 2023.06 (~Top 1.0%)
  2. National Scholarship, Ministry of Education of PRC, 2022.10 (~Top 2.0%)
  3. Wenzhi Role Model, Xi'an Jiaotong University, 2020.06
  4. Outstanding Graduate, Xi'an Jiaotong University, 2020.04