Yuanfang Guo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
19
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models. | Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu |
| 2025 | AAAI | Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning. | Hui Miao, Yuanfang Guo, Zeming Liu, Yunhong Wang |
| 2025 | ACL | ToolSpectrum: Towards Personalized Tool Utilization for Large Language Models. | Zihao Cheng, Hongru Wang, Zeming Liu, Yuhang Guo, Yuanfang Guo, Yunhong Wang, Haifeng Wang |
| 2025 | CVPR | EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection. | Ming Sun, Rui Wang, Zixuan Zhu, Lihua Jing, Yuanfang Guo |
| 2025 | EMNLP | RETAIL: Towards Real-world Travel Planning for Large Language Models. | Bin Deng, Yizhe Feng, Zeming Liu, Qing Wei, Xiangrong Zhu, Shuai Chen, Yuanfang Guo, Yunhong Wang |
| 2025 | EMNLP | Weak2Wise: An Automated, Lightweight Framework for Weak-LLM-Friendly Reasoning Synthesis. | Jianing Lin, Yuanfang Guo, Shunning Liu, Zeming Liu, Yunhong Wang |
| 2025 | EMNLP | RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models. | Jingjing Liu, Zeming Liu, Zihao Cheng, Mengliang He, Xiaoming Shi, Yuhang Guo, Xiangrong Zhu, Yuanfang Guo, Yunhong Wang, Haifeng Wang |
| 2025 | ICASSP | Robust Deepfake Detection via Perturbation Domain Alignment. | Lin Lu, Yunhong Wang, Liang Zhang, Yuanfang Guo |
| 2025 | ICLR | DUALFormer: Dual Graph Transformer. | Jiaming Zhuo, Yuwei Liu, Yintong Lu, Ziyi Ma, Kun Fu, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang |
| 2025 | ICML | Disentangled Graph Spectral Domain Adaptation. | Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo |
| 2025 | IJCAI | Universal Graph Self-Contrastive Learning. | Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang |
| 2025 | ISCAS | Feature Perturbation Agent based Adversarial Attack Method for Weakly Supervised Video Anomaly Detection. | Zhen Yang, Yuanfang Guo, Ruijie Yang, Di Huang, Jiantao Zhou |
| 2024 | AAAI | AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack. | Ruikui Wang, Yuanfang Guo, Yunhong Wang |
| 2024 | CVPR | Improving Graph Contrastive Learning via Adaptive Positive Sampling. | Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang |
| 2024 | ICIP | Deepfake Detection Via Separable Self-Consistency Learning. | Lin Lu, Yunhong Wang, Wenqi Zhuo, Liang Zhang, Guangshuai Gao, Yuanfang Guo |
| 2024 | ICML | Understanding Heterophily for Graph Neural Networks. | Junfu Wang, Yuanfang Guo, Liang Yang, Yunhong Wang |
| 2024 | WWW | GAUSS: GrAph-customized Universal Self-Supervised Learning. | Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo |
| 2024 | WWW | Graph Contrastive Learning Reimagined: Exploring Universality. | Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang |
| 2023 | AAAI | Deepfake Video Detection via Facial Action Dependencies Estimation. | Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo |
| 2023 | AAAI | Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos. | Ruikui Wang, Yuanfang Guo, Yunhong Wang |
| 2023 | WWW | Graph Neural Networks without Propagation. | Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo |
| 2022 | AAAI | Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. | Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao |
| 2022 | ISCAS | Exploring the Impact of Adding Adversarial Perturbation onto Different Image Regions. | Ruijie Yang, Yuanfang Guo, Ruikui Wang, Xiaohan Zhao, Yunhong Wang |
| 2021 | CVPR | Bi-GCN: Binary Graph Convolutional Network. | Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo |
| 2021 | ICIP | Multi-Scale Background Suppression Anomaly Detection In Surveillance Videos. | Yang Zhen, Yuanfang Guo, Jinjie Wei, Xiuguo Bao, Di Huang |
| 2021 | IJCAI | Heterogeneous Graph Information Bottleneck. | Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo |
| 2020 | AAAI | Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism. | Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang |
| 2020 | CVPR | A Point Light Source Interference Removal Method for Image Dehazing. | Yanyang Yan, Shengdong Zhang, Mingye Ju, Wenqi Ren, Rui Wang, Yuanfang Guo |
| 2020 | ICDM | Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. | Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo |
| 2020 | ICIP | Fake Generated Painting Detection Via Frequency Analysis. | Yong Bai, Yuanfang Guo, Jinjie Wei, Lin Lu, Rui Wang, Yunhong Wang |
| 2020 | IJCAI | JANE: Jointly Adversarial Network Embedding. | Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo |
| 2020 | WWW | Graph Attention Topic Modeling Network. | Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo |
| 2019 | ICANN | Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings. | Yidong Zhang, Yunhong Wang, Yuanfang Guo |
| 2019 | IJCAI | Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. | Liang Yang, Zhiyang Chen, Junhua Gu, Yuanfang Guo |
| 2019 | IJCAI | Topology Optimization based Graph Convolutional Network. | Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo |
| 2019 | IJCAI | Masked Graph Convolutional Network. | Liang Yang, Fan Wu, Yingkui Wang, Junhua Gu, Yuanfang Guo |
| 2019 | VCIP | Color Image Compression with Transform Domain Down-Sampling and Deep Convolutional Reconstruction. | Yan Wang, Shuyuan Zhu, Xiandong Meng, Bing Zeng, Yuanfang Guo, Ruiqin Xiong |
| 2018 | AAAI | Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation. | Liang Yang, Yuanfang Guo, Xiaochun Cao |
| 2018 | IJCAI | 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. | Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao |
| 2017 | CVPR | Image Deblurring via Extreme Channels Prior. | Yanyang Yan, Wenqi Ren, Yuanfang Guo, Rui Wang, Xiaochun Cao |
| 2017 | CVPR | Binarized Mode Seeking for Scalable Visual Pattern Discovery. | Wei Zhang, Xiaochun Cao, Rui Wang, Yuanfang Guo, Zhineng Chen |
| 2017 | ISCC | Contextual approach for identifying malicious Inter-Component privacy leaks in Android apps. | Daojuan Zhang, Yuanfang Guo, Dianjie Guo, Rui Wang, Guangming Yu |
| 2017 | MMM | egoPortray: Visual Exploration of Mobile Communication Signature from Egocentric Network Perspective. | Qing Wang, Jiansu Pu, Yuanfang Guo, Zheng Hu, Hui Tian |
| 2016 | IWDW | An Adaptive Reversible Data Hiding Scheme for JPEG Images. | Jiaxin Yin, Rui Wang, Yuanfang Guo, Feng Liu |
| 2014 | ICASSP | Analysis of sampling pattern and Luma-Chroma filter design for subpixel-based image downsampling. | Jin Zeng, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Ketan Tang, Yonggen Ling |
| 2014 | ICIP | Self-similarity-based image colorization. | Jiahao Pang, Oscar C. Au, Yukihiko Yamashita, Yonggen Ling, Yuanfang Guo, Jin Zeng |
| 2013 | ICASSP | Image colorization using sparse representation. | Jiahao Pang, Oscar C. Au, Ketan Tang, Yuanfang Guo |
| 2013 | ICASSP | Arbitrary factor image interpolation using geodesic distance weighted 2D autoregressive modeling. | Ketan Tang, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Jiali Li |
| 2013 | ICIP | Efficient adaptive prediction based reversible image watermarking. | Sunil Prasad Jaiswal, Oscar C. Au, Vinit Jakhetiya, Yuanfang Guo, Anil Kumar Tiwari, Yue Kong |
| 2013 | ICIP | Arbitrary factor image interpolation by convolution kernel constrained 2-D autoregressive modeling. | Ketan Tang, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Jiali Li, Lu Fang |
| 2013 | ISCAS | Data hiding in error diffused color halftone images. | Yuanfang Guo, Oscar C. Au, Ketan Tang, Jiahao Pang, Wenxiu Sun, Lingfeng Xu, Jiali Li, Xingyu Zhang |
| 2013 | ISCAS | Stereo matching by adaptive weighting selection based cost aggregation. | Lingfeng Xu, Oscar C. Au, Wenxiu Sun, Lu Fang, Ketan Tang, Jiali Li, Yuanfang Guo |
| 2013 | ISCAS | HEVC-based adaptive quantization for screen content by detecting low contrast edge regions. | Hong Zhang, Oscar C. Au, Yongfang Shi, Xingyu Zhang, Ketan Tang, Yuanfang Guo |
| 2013 | IWDW | Hiding a Secret Pattern into Color Halftone Images. | Yuanfang Guo, Oscar C. Au, Ketan Tang, Jiahao Pang |
| 2013 | MMSP | Chroma Replacing and adaptive Chroma Blending for subpixel-based downsampling. | Ketan Tang, Oscar C. Au, Lu Fang, Yuanfang Guo, Jiahao Pang |
| 2012 | ICIP | Image de-quantization via spatially varying sparsity prior. | Pengfei Wan, Oscar C. Au, Ketan Tang, Yuanfang Guo |
| 2011 | ICIG | Image Interpolation Using Autoregressive Model and Gauss-Seidel Optimization. | Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo |
| 2011 | ICIP | Multi-scale analysis of color and texture for salient object detection. | Ketan Tang, Oscar C. Au, Lu Fang, Zhiding Yu, Yuanfang Guo |