About me

Dr. Qing Guo is currently a senior research scientist and principal investigator (PI) at the Center for Frontier AI Research (CFAR), A*STAR in Singapore. He is also an adjunct assistant professor at the National University of Singapore (NUS) . In 2019, he joined Nanyang Technological University (NTU) as a Research Fellow and was appointed a Wallenberg-NTU Presidential Postdoctoral Fellow in 2020. He received the Best Platinum Paper Award at ICME in 2018, the ACM Tianjin Outstanding Doctoral Dissertation Award in 2020, third place in the AISG Trusted Media Challenge, won the Best Paper Award at the ECCV 2022 AROW workshop, and AISG Robust AI challenge grant 2023. He serves as Area Chair for ICML, ICLR, and IJCAI, and Senior PC for AAAI. He is also a senior member of IEEE. His research mainly focuses on computer vision, AI security, adversarial attack, and robustness.

tsingqguo@ieee.org

qing.guo@nus.edu.sg

guo_qing@cfar.a-star.edu.sg

News

  • Welcome Research assistant/Intern, PostDoc, and A*STAR SINGA PhD applications. I will support talented students to pursue Ph.D. degrees at NTU and NUS.
  • Special Issue on "Robust and Safe Visual Intelligence Methods and Their Applications "
    • invites submissions.
  • Recognized as Senior Member of IEEE.
  • Recognized as World Top 2% Scientists by Stanford University.
  • Serving as Area Chair for ICML 2025.
  • Serving as Area Chair for ICLR 2025.
  • Serving as Area Chair for IJCAI 2025.
  • Serving as Senior PC for AAAI 2025.
  • One paper is published in Journal of the American Chemical Society (JACS)
  • One paper is accepted to IEEE TIFS.
  • One paper is accepted to AAAI 2025.
  • One paper is accepted to IJCV.
  • Four papers are accepted to NeurIPS 2024.
  • One paper is accepted to T-MM 2024.
  • One paper is accepted to ACM-MM 2024.
  • Keynote Speaker at AsiaCCS Workshop .
  • Three papers are accepted to ECCV 2024.
  • One paper is accepted to IEEE TIFS 2024.
  • One paper is accepted to IEEE TKDE 2024.
  • Awarded DTC Research Grant as Lead PI with SGD 1,370K.
  • Two papers are accepted to CVPR 2024.
  • Awarded A*STAR Career Development Fund with SGD 164K.
  • One paper is accepted to IEEE TIFS.
  • One paper is accepted to ICRA 2024.
  • One paper is accepted to IEEE TIFS.
  • Two papers are accepted to ICLR 2024.
  • One paper is accepted to AAAI 2024.
  • One paper is accepted to IEEE TMM 2024.
  • One paper is accepted to IEEE TIV.
  • One paper is accepted to IEEE TIP.
  • One paper is accepted to NeurIPS 2023's Datasets and Benchmarks Track.
  • One paper is accepted to IEEE TMM 2023.
  • Four papers are accepted to ICCV 2023.
  • One paper is accepted to ICSE 2023.
  • One paper is accepted to ACM-MM 2023.
  • Serve as the Senior PC for AAAI 2024 .
  • Serve as the Area Chair for PRCV 2023 .
  • Serve as the Co-Chair for IEEE CAI 2024 .
  • Pre-print version of "On the robustness of SAM" is released.
  • Awarded AISG Robust AI Grant with SGD 1.2M.
  • One paper is accepted to ACM TOSEM.
  • One paper is accepted to IEEE TCSVT 2023.
  • One paper is accepted to ICML 2023.
  • One paper is accepted to IJCAI 2023.
  • Serve as the Area Chair for VALSE from 2023.
  • Two papers are accepted to CVPR 2023.
  • One paper is accepted to ACM TOSEM.
  • One paper is accepted to IEEE INFOCOM 2023.
  • A novel data augmentation method for change detection is accepted to AAAI 2023.
  • We are awarded the Best Paper Award in ECCV 2022 AROW workshop .
  • One paper is accepted to NeurIPS 2022.
  • Selected as a reviewer for Czech Science Foundation (GACR).
  • Serve as the senior PC (Meta-reviewer) for AAAI 2023.
  • One paper is accepted to ACM-MM 2022.
  • One paper is accepted to Pattern Recognitioon (PR).
  • We are awarded the third rank in Trusted Media Challenge with 25K SGD cash prize.
  • One paper is accepted to International Journal of Computer Vision (IJCV).
  • Two papers are accepted to CVPR 2022.
  • Neuron Path Coverage (NPC) has been accepted to ACM Transactions on Software Engineering and Methodology (TOSEM).
  • FakeLocator has been accepted to IEEE TIFS.
  • Pasadena: adversarial denoise attack has been accepted to IEEE TMM 2021.
  • Learning to adversarially blur visual tracking has been accepted to ICCV 2021.
  • JPGNet and Perturbation-aware denoising have been accepted to ACM-MM 2021.
  • DeepRepair has been accepted to IEEE Transactions on Reliability
  • Detail preserving night-to-day transfer has been accepted to IEEE TCSVT 2021.
  • Adversarial vignetting attack has been accepted to IJCAI 2021.
  • Auto-exposure fusion for shadow removal has been accepted to CVPR 2021.
  • EfficientDerain, the fastest deraining method with SOTA performance, has been accepted to AAAI 2021.
  • Blurred Video Tracking (BVT) benchmark has been accepted to IEEE TIP.
  • ABBA, the first motion-based adversarial blur attack, has been accepted to NeurIPS 2020.
  • Four papers, DeepRhythm, Amora, FakePolisher and DeepSonar, have been accepted to ACM Multimedia 2020.
  • SPARK, one of the first tracking attacks, has been accepted to ECCV2020.
  • I am awarded the Wallenberg-NTU Presidential Postdoctoral Fellowship.
  • Selective Spatial Regularization for CF tracking has been accepted to IEEE TIP.
  • Saliency-aware Regularization for CF tracking has been accepted to IEEE TIP.
  • We achieved the best paper award of ICME 2018.

Team Members

  • Research Scientist:
    • DR. ZHANG Jie ,
  • Post-doc:
    • DR. YANG Ying , DR. LI Bing
  • Research Engineer:
    • Gabriel Tjio is also a PhD student at Nanyang Technological University.
  • PhD Students (Research Interns):
    • CAO Yue with Nanyang Technological University, XING Yun with the University of Alberta, Vu Tuan Anh with the Hong Kong University of Science and Technology, QU Bohao with Jilin University, ZHANG Menglin with Jilin University, ZHU Yunrui with Tianjin University of Technology, GUO Qi with Xi'an Jiaotong University, ZHOU Qi with Zhejiang University, TANG Yongheng with Zhejiang University
  • Master/Bachelor Students (Research Interns):
    • Gao Sensen with Nankai University, Nhat Chung u> with Vietnam National University
  • Co-supervised PhD Students:
    • LI Xiaoguang , ZHANG Canyu , ZHAO Liang with the University of South Carolina， CHEN Jianlang and QI Hua with Kyushu University, ZHU Jiayi East China Normal University

Selected Pre-print Publications

  • EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation
    Tianyu Wei, Shanmin Pang, Qi Guo, Yizhuo Ma, Qing Guo*
    in Arxiv
    [paper ]

  • Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
    Nhat Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, and Qing Guo*
    in Arxiv
    [paper ]

  • FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution
    Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, and Qing Guo*
    in Arxiv
    [paper ]

  • On the Robustness of Segment Anything
    Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo*
    in Arxiv
    [paper ]

Selected Publications

See the full list at Google Scholar.

§: equal contribution to the first author. *: corresponding author.

  • Nanoscale Identification of Local Strain Effect on TMD Catalysis
    Shasha Guo, Xiuxian Zhou, Jinn-Kye Lee, Qing Guo , Xiao Liu, Yao Wu, Mingyu Ma, Zhengyang Zhang, Zheng Liu
    published in Journal of the American Chemical Society (JACS)
    [paper ]

  • Learning Uncertainty-Aware Filtering via RainMix Augmentation for High-Efficiency Deraining
    Qing Guo , Hua Qi, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang
    accepted to IJCV.
    [paper ] [ project ]

  • CarveNet: Carving Point-Block for Complex 3D Shape Completion
    Qing Guo , Zhijie Wang, Luobo Wang, Haotian Dong, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu
    accepted to IEEE TMM 2024.
    [paper ] [ project ]

  • ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
    Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo *
    in NeurIPS 2024.
    [paper ] [ project ]

  • SAIR: Learning Semantic-aware Implicit Representation
    Canyu Zhang, Xiaoguang Li, Qing Guo *, and Song Wang
    in ECCV 2024.
    [paper ] [ project ]

  • Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
    Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, and Qing Guo *
    in ECCV 2024.
    [paper ] [ project ]

  • Event Trojan: Asynchronous Event-based Backdoor Attacks
    Ruofei Wang, Qing Guo, Haoliang Li, and Renjie Wan
    in ECCV 2024.
    [paper ] [ project ]

  • MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences
    Xing Yun, Qing Guo *, Xiaofeng Cao, Ivor W. Tsang, and Lei Ma
    in ACM-MM 2024.
    [paper ] [ project ]

  • CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection
    Jiayi Zhu, Qing Guo *, Felix Juefei-Xu, Yihao Huang, Yang Liu, Geguang Pu
    in CVPR 2024.
    [paper ] [ project ]

  • Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
    J. Li, B. Li, Z. Tu, X. Liu, Q. Guo , F. Juefei-Xu, R. Xu, H. Yu
    in CVPR 2024.
    [paper ] [ project ]

  • Adversarial Relighting Against Face Recognition
    Qian Zhang, Qing Guo § , Ruijun Gao, Felix Juefei-Xu, Hongkai Yu, Wei Feng
    in IEEE TIFS 2024.
    [paper ] [ project ]

  • AdvGPS: Adversarial GPS for Multi-Agent Perception Attack
    Jinlong Li, Baolu Li, Xinyu Liu, Jianwu Fang, Felix Juefei-Xu, Qing Guo * , Hongkai Yu
    in ICRA 2024.
    [paper ] [ project ]

  • Minimalism is King! High-Frequency Energy-based Screening for Data-Efficient Backdoor Attacks
    Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo and Xiaochun Cao
    in IEEE TIFS 2024.
    [paper ] [ project ]

  • IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
    Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo*
    in ICLR 2024.
    [paper ] [ project ]

  • LRR: Language-driven Resamplable Continuous Representation Against Adversarial Tracking Attacks
    Jianlang Chen, Xuhong Ren, Qing Guo*, et al.
    in ICLR 2024.
    [paper ] [ project ]

  • Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
    Yihao Huang, Felix Juefei-Xu, Qing Guo*, et al.
    AAAI 2024.
    [paper ] [ project (coming soon) ]

  • Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network
    Yihao Huang, Felix Juefei-Xu, Qing Guo*, Geguang Pu, Yang Liu
    IEEE Transactions on MultiMedia (TMM).
    [paper ] [ project (coming soon) ]

  • MIPE: Towards Cleaning the Datasets of Autonomous Driving Systems using Multi-modal Information Processing and Confident Learning
    A. Esmaeilzehi, S. M. T. Afshari, Qing Guo, F. Juefei-Xu, Lei Ma
    IEEE Transactions on Intelligent Vehicles 2023.

  • Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
    Yihao Huang, Felix Juefei-Xu, Qing Guo*, et al.
    IEEE Transcations on Circuits and Systems for Video Technology (TCSVT), 20203.
    [paper ] [ project (coming soon) ]

  • Structure-Informed Shadow Removal Networks
    Yuhao Liu, Qing Guo*, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang. Rynson W.H. Lau
    IEEE Transactions on Image Processing (TIP) 2023 (CCF-A).
    [paper ] [ project (coming soon) ]

  • All In One: A Chinese Multi-Modal Dataset for Multi-Affection Detection in Conversations
    Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Jing Qin, Qiuchi Li
    NeurIPS 2023 (CCF-A).
    [paper ] [ project ]

  • Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
    Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo*, Xingyu Li, and Lei Ma
    IEEE TMM 2023 (CCF-B).
    [paper ] [ project ]

  • ALA: Naturalness-aware Adversarial Lightness Attack
    Yihao Huang, Liangru Sun, Qing Guo, Felix Juefei-Xu, Jiayi Zhu, Jincao Feng, Yang Liu, Geguang Pu
    ACM-MM 2023 (CCF-A).
    [paper ]

  • Leveraging Inpainting for Single-Image Shadow Removal
    Xiaoguang Li, Qing Guo*, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor Tsang, Song Wang
    ICCV 2023 (CCF-A).
    [paper ] [ code ]

  • CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
    Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
    ICCV 2023 (CCF-A).
    [paper ] [ project link ]

  • Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis
    Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo*, Aishan Liu, Lei Ma, Yang Liu
    ACM Trans. on Software Engineering and Methodology (TOSEM) 2023 (Impact factor 4.944, CCF-A).
    [paper (Coming soon) ]

  • Coarse-to-fine Task-driven Inpainting for Geoscience Images
    Huiming Sun, Jin Ma, Qing Guo, Qin Zou,Shaoyue Song, Yuewei Lin,Hongkai Yu
    accepted to IEEE Transactions on Circuits and Systems for Video Technology 2023 (Impact factor 5.859, CCF-B).
    [paper [Coming soon] ]

  • Fairer: Fairness as Decision Rationale Alignment
    Tianlin Li, Qing Guo*, Aishan Liu, Zhiming Li, Yang Liu
    accepted to ICML 2023 (CCF-A).
    [paper [coming soon] ]

  • Fairness via Group Contribution Matching
    Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
    accepted to IJCAI 2023 (CCF-A).
    [paper [coming soon] ]

  • Evading DeepFake Detectors via Adversarial Statistical Consistency
    Yang Hou, Qing Guo*, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao
    accepted to CVPR 2023 (CCF-A).
    [paper ] [ code ]

  • Distilling Cross-Temporal Contexts for Contiguous Sign Language Recognition
    Leming Guo, Wanli Xue, Qing Guo*, Bo Liu, Kaihua Zhang, Tiantian Yuan, Shengyong Chen
    accepted to CVPR 2023 (CCF-A).
    [paper [coming soon] ]

  • ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks
    Hua Qi, Zhijie Wang, Qing Guo*, Jianlang Chen, Felix Juefei-Xu, Fuyuan Zhang, Lei Ma, Jianjun Zhao
    ACM Trans. on Software Engineering and Methodology (TOSEM) 2023 (Impact factor 4.944, CCF-A)..
    [paper ] [ project ]

  • FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning
    Anran Li, Hongyi Peng, Lan Zhang, Jiahui Huang, Qing Guo, Han Yu, Yang Liu
    accepted to IEEE INFOCOM 2023(CCF-A).
    [paper ]

  • Background-Mixed Augmentation for Weakly Supervised Change Detection
    Rui Huang, Ruofei Wang, Qing Guo*, et. al.
    accepted to AAAI 2023 (CCF-A).
    [paper , project link]

  • Generative Status Estimation and Information Decoupling for Image Rain Removal
    Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, and Ping Li
    accepted to NeurIPS 2022 (CCF-A).
    [paper , project link [coming soon]]

  • A3GAN: Attribute-Aware Anonymization Networks for Face De-identification
    Liming Zhai, Qing Guo*, Xiaofei Xie, Lei Ma, Yi Estelle Wang, Yang Liu
    accepted to ACM-MM (CCF-A).
    [paper , project link [coming soon]]

  • DARTSRepair: Core-Failure-Set Guided DARTS for Network Robustness to Common Corruptions
    Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen
    accepted to Pattern Recognition (Impact factor= 7.74, CCF-B).
    [paper , project link [coming soon]]

  • Countering Malicious DeepFakes: Survey, Battleground, and Horizon
    Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo*, Lei Ma, Yang Liu
    accepted to International Journal of Computer Vision (IJCV) (CCF-A).
    [paper, project link]

  • Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection
    Ruijun Gao, Qing Guo§, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang
    accepted to CVPR 2022 (CCF-A).
    [paper, code ]

  • MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
    Xiaoguang Li, Qing Guo§, Di Lin, Ping Li, Wei Feng, Song Wang
    accepted to CVPR 2022 (CCF-A).
    [paper , code]

  • NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks
    Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo*, Felix Juefei-Xu, and Yang Liu
    accepted to ACM Transactions on Software Engineering and Methodology (TOSEM) 2022 (Impact factor 4.944, CCF-A).
    [paper, code [coming soon]]

  • FakeLocator: Robust Localization of GAN-Based Face Manipulations
    Yihao Huang, Felix Juefei-Xu, Qing Guo*, Yang Liu, and Geguang Pu
    accepted to IEEE Transactions on Information Forensics and Security (TIFS) 2021 (Impact factor 7.178, CCF-A).
    [paper, code [coming soon]]

  • Pasadena: Perceptually Aware and Stealthy adversarial denoise attack
    Yupeng Cheng, Qing Guo*, Felix Juefei-Xu, Shang-Wei Lin, Wei Feng, Weisi Lin, Yang Liu
    accepted to IEEE Transactions on Multimedial (TMM) 2021 (Impact factor 6.513, CCF-B).
    [paper, code [coming soon]]

  • Learning to Adversarially Blur Visual Object Tracking
    Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, and Jianjun Zhao
    accepted to ICCV 2021 (CCF-A).
    [paper, code]

  • JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
    Qing Guo*, Xiaoguang Li, Felix Juefei-Xu, Hongkai Yu, Yang Liu, and Song Wang
    accepted to ACM-MM 2021 (CCF-A).
    [paper, code]

  • Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
    Yihao Huang, Qing Guo*, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, and Geguang Pu
    accepted to ACM-MM 2021 (CCF-A).
    [paper [coming soon], code [coming soon]]

  • DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
    Bing Yu, Hua Qi, Qing Guo*, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao
    accepted to IEEE Transactions on Reliability. (Impact factor 3.177)
    [paper, code [coming soon]]

  • Let There be Light: Improved Traffic Surveillancevia Detail Preserving Night-to-Day Transfer
    Lan Fu, Hongkai Yu, Felix Juefei-Xu, Jinlong Li, Qing Guo*, Song Wang
    accepted to IEEE Trans. Circuits Syst. Video Technol. (Impact factor 4.133, CCF-B)
    [paper, code [coming soon]]

  • AVA: Adversarial Vignetting Attack against Visual Recognition
    Binyu Tian, Felix Juefei-Xu, Qing Guo*, Xiaofei Xie, Xiaohong Li, and Yang Liu
    accepted to IJCAI 2021. (CCF-A)
    [paper, code [coming soon]]

  • Auto-exposure fusion for single-image shadow removal
    Lan Fu, Changqing Zhou, Qing Guo*, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, and Song Wang
    accepted to CVPR 2021. (CCF-A)
    [paper, code]

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
    Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, and Yang Liu
    accepted to AAAI 2021. (CCF-A)
    [paper, code]

  • Exploring the Effects of Blur and Deblurring to Visual Object Tracking
    Qing Guo, Wei Feng, Ruijun Gao, Yang Liu, and Song Wang
    IEEE Transcations on Image Processing, 2021, 30: 1812 - 1824. (CCF-A)
    [paper, code]

  • Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
    Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu
    NeurIPS 2020. (CCF-A)
    [paper, code]

  • SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
    Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu
    ECCV 2020.
    [paper, code]

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
    Hua Qi, Qing Guo§, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • Amora: Black-box Adversarial Morphing Attack
    Run Wang, Felix Juefei-Xu, Qing Guo*, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
    Run Wang, Felix Juefei-Xu, Yihao Huang,Qing Guo *, Xiaofei Xie, Lei Ma, Yang Liu
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
    Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwei Li, Weikai Miao, Yang Liu, and Geguang Pu
    ACM Multimedia 2020. (CCF-A).
    [paper, code]

  • Selective Spatial Regularization by Reinforcement Learned Decision Making for Object Tracking.
    Qing Guo, Ruize Han, Wei Feng, Zhihao Chen, and Liang Wan
    IEEE Transcations on Image Processing, 2020, 29(7): 2999 - 3013. (CCF-A)
    [project]

  • Dynamic Saliency-Aware Regularization for Correlation Filter-Based Object Tracking
    Wei Feng, Ruize Han, Qing Guo*, Jianke Zhu, and Song Wang.
    IEEE Transactions on Image Processing, 2019, 28(7): 3232 - 3245. (CCF-A)
    [project]

  • Learning Dynamic Siamese Network for Visual Object Tracking
    Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, and Song Wang
    ICCV 2017. (CCF-A)
    [project]

  • Structure-Regularized Compressive Tracking with Online Data-Driven Sampling
    Qing Guo, Wei Feng, Ce Zhou, and Bin Wu
    IEEE Transactions on Image Processing, 2017, 26(12): 5692-5705. (CCF-A)
    [paper]
  • Structure-Regularized Compressive Tracking
    Qing Guo, Wei Feng, Ce Zhou, and Bin Wu
    In ICME2018. (CCF-B, Oral)
    [pdf]

  • Content-Related Spatial Regularization for Visual Object Tracking
    Ruize Han, Qing Guo §, and Wei Feng
    In ICME 2018 (CCF-B, Oral, Best Paper Award).
    [project]

  • Freqeuncy-tuned Active Contour Model
    Qing Guo, Shuifa Sun, Xuhong Ren, Fangmin Dong, Bruce Z. Gao, and Wei Feng
    Neurocomputing, 2018, 275(31): 2307-2316.
  • Freqeuncy-tuned Active Contour Model for Biomedical image segmentation
    Qing Guo, Shuifa Sun, Fangmin Dong, Wei Feng, Siyu Ma, and Bruce Z. Gao
    ICASSP 2017 (CCF-B, Oral)
    [project]

  • Fast Spatially-Regularized Correlation Filters for Visual Object Tracking
    Pengyu Zhang, Qing Guo §, and Wei Feng
    In PRICAI 2018. (CCF-C)
    [project]

  • Background-Suppressed Correlation Filters for Visual Tracking
    Zhihao Chen, Qing Guo §, Liang Wan, and Wei Feng
    In ICME 2018 .(CCF-B)
    [project]

  • Selective Object and Context Tracking
    Ce Zhou, Qing Guo*, Li Wang, and Wei Feng
    In ICASSP 2017.(CCF-B)
    [pdf]

  • Image Denosing Algorithm Based on Contourlet Transform for Optical Coherence Tomography Heart Tube Image
    Qing Guo, Fangmin Dong, Shuifa Sun, Bangjun Lei, and Zhi Gao
    IET Image Processing, 2013, 7(5): 442-450.
    [pdf]
  • Optical Coherence Tomography Heart Tube Image Denoising Based on Contourlet Transform
    Qing Guo, Shuifa Sun, Fangmin Dong, Zhi Gao, and Rui Wang
    In ICMLC, 2012, (3):1139-1144. (Oral)
    [pdf]

  • Improved Rotating Kernel Transformation Based Contourlet Domain Image Denoising Framework
    Qing Guo, Fangmin Dong, Shuifa Sun, Xuhong Ren, Shiyu Feng, and Zhi Gao
    2013 Pacific-Rim Conference on Multimedia (PCM), 2013, (8294):146-157. (CCF-C)
    [pdf]

Academic Services

  • Reviewer of NeurIPS, CVPR, ICCV, ECCV, ACM-MM, AAAI, IJCAI, ICPR
  • Reviewer of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Reviewer of IEEE Transactions on Image Processing (TIP)
  • Reviewer of IEEE Transactions on Information Forensics & Security (TIFS)
  • Reviewer of Journal of Visual Communication and Image Representation (JVCI)
  • Reviewer of Pattern Recognition Letters
  • Reviewer of Neural Processing Letters
  • Reviewer of Information Sciences
  • Reviewer of Neurocomputing
  • Reviewer of IEEE Access
  • Reviewer of IET Image Processing
  • Reviewer of Electronic Letters

Adwards

  • 2020 NTU Presidential Postdoctoral Fellowship
  • 2019 Excellent Doctor Dissertation of Tianjin University
  • 2018 China State Shipbuilding Corporation (CSSC) Scholarship
  • 2017 National Graduate Fellowship
  • 2015 Excellent Master Dissertation of Hubei province
  • 2013 National Graduate Fellowship
  • Third prize of the 5th computer simulation contest of China
  • 2011 Outstanding graduates of Hebei Province