Yuan He

According to our database, Yuan He authored at least 67 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations.

Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

AUC-Oriented Domain Adaptation: From Theory to Algorithm.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks.

Chuan Qin, Yuefeng Chen, Kejiang Chen, Xiaoyi Dong, Weiming Zhang, Xiaofeng Mao, Yuan He, Nenghai Yu

IEEE Trans. Artif. Intell., October, 2023

Optimizing Two-Way Partial AUC With an End-to-End Framework.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency.

Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Optimizing Partial Area Under the Top-k Curve: Theory and Practice.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

To make yourself invisible with Adversarial Semantic Contours.

Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue

Comput. Vis. Image Underst., April, 2023

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications.

Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding

CoRR, 2023

Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain.

Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su

CoRR, 2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.

Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng

CoRR, 2023

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake.

Honggu Liu, Xiaodan Li, Wenbo Zhou, Han Fang, Paolo Bestagini, Weiming Zhang, Yuefeng Chen, Stefano Tubaro, Nenghai Yu, Yuan He, Hui Xue

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DR-Net: A Multi-View Face Synthesis Network Driven by Dual Representation.

Xianliang Huang, Yining Lang, Ying Guo, Yuan He, Hui Xue, Li Zhao, Shuigeng Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Budgeted Training for Vision Transformer.

Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-Vocabulary Object Detection With an Open Corpus.

Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ.

Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang

IEEE Trans. Image Process., 2022

Reading-Strategy Inspired Visual Representation Learning for Text-to-Video Retrieval.

Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang

IEEE Trans. Circuits Syst. Video Technol., 2022

Robustness enhancement against adversarial steganography via steganalyzer outputs.

Chuan Qin, Wei Ming Zhang, Hang Zhou, Jiayang Liu, Yuan He, Nenghai Yu

J. Inf. Secur. Appl., 2022

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang

CoRR, 2022

D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention.

Junyu Lin, Xiaofeng Mao, Yuefeng Chen, Lei Xu, Yuan He, Hui Xue

CoRR, 2022

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OpenAUC: Towards AUC-Oriented Open-Set Recognition.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems.

Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang

Proceedings of the International Conference on Machine Learning, 2022

Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition.

Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains.

Qilong Zhang, Xiaodan Li, Yuefeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue

Proceedings of the Tenth International Conference on Learning Representations, 2022

MAKD: MULTIPLE Auxiliary Knowledge Distillation.

Zehan Chen, Xuan Jin, Yuan He, Hui Xue

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Robust Vision Transformer.

Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning.

Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji

IEEE Trans. Image Process., 2021

Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos.

Mengyi Liu, Shuhui Wang, Yulan Guo, Yuan He, Hui Xue

IEEE Signal Process. Lett., 2021

Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval.

Jianfeng Dong, Zhongzi Long, Xiaofeng Mao, Changting Lin, Yuan He, Shouling Ji

Neurocomputing, 2021

Unrestricted Adversarial Attacks on ImageNet Competition.

Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.

Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen

CoRR, 2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition.

Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue

CoRR, 2021

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition.

Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework.

Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

Multiple Pairwise Ranking Networks for Personalized Video Summarization.

Yassir Saquil, Da Chen, Yuan He, Chuan Li, Yong-Liang Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdvDrop: Adversarial Attack to DNNs by Dropping Information.

Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. Kai Qin, Yuan He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Similarity Learning for Language-Based Product Image Retrieval.

Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji

Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Supervised Learning for Few-Shot Image Classification.

Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue

Proceedings of the IEEE International Conference on Acoustics, 2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association.

Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain.

Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval.

Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink.

Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sketch, Ground, and Refine: Top-Down Dense Video Captioning.

Chaorui Deng, Shizhe Chen, Da Chen, Yuan He, Qi Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Composite Adversarial Attacks.

Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

GAP++: Learning to generate target-conditioned adversarial examples.

Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue

CoRR, 2020

Heuristic Domain Adaptation.

Shuhao Cui, Xuan Jin, Shuhui Wang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sharp Multiple Instance Learning for DeepFake Video Detection.

Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning to Characterize Adversarial Subspaces.

Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention.

Yining Lang, Yuan He, Jianfeng Dong, Fan Yang, Hui Xue

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Open Brands Dataset: Unified Brand Detection and Recognition at Scale.

Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hierarchical Sequence Representation with Graph Network.

Da Chen, Xiang Wu, Jianfeng Dong, Yuan He, Hui Xue, Feng Mao

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Supervised Adversarial Training.

Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Visual Inductive Priors Framework for Data-Efficient Image Classification.

Pengfei Sun, Xuan Jin, Wei Su, Yuan He, Hui Xue, Quan Lu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection.

Yining Lang, Yuan He, Fan Yang, Jianfeng Dong, Hui Xue

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Text Captcha Is Dead? A Large Scale Deployment and Empirical Study.

Chenghui Shi, Shouling Ji, Qianjun Liu, Changchang Liu, Yuefeng Chen, Yuan He, Zhe Liu, Raheem Beyah, Ting Wang

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network.

Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift.

Da Chen, Feng Mao, Mingli Song, Yuan He, Xiang Wu, Jinqiao Wang, Wenbin Li, Yongliang Yang, Hui Xue

CoRR, 2019

AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients.

Xiaodan Li, Yuefeng Chen, Yuan He, Hui Xue

CoRR, 2019

Hybrid Sequence Encoder for Text Based Video Retrieval.

Xiang Wu, Da Chen, Yuan He, Hui Xue, Mingli Song, Feng Mao

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks.

Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue

Proceedings of the IEEE International Conference on Acoustics, 2019

Dual Encoding for Zero-Example Video Retrieval.

Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019