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Yang Cao

University of Science and Technology of China, China

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation


Apr 18, 2022
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie

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Network Shuffling: Privacy Amplification via Random Walks


Apr 08, 2022
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa

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* 15 pages, 9 figures; SIGMOD 2022 version 
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FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization


Mar 24, 2022
Kecheng Zheng, Yang Cao, Kai Zhu, Ruijing Zhao, Zheng-Jun Zha

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ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation


Mar 22, 2022
Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha

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* AAAI2022 
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Towards Data-Efficient Detection Transformers


Mar 21, 2022
Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao

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* Code is available at https://github.com/encounter1997/DE-DETRs and https://github.com/encounter1997/DE-CondDETR 
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Learning Affordance Grounding from Exocentric Images


Mar 18, 2022
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao

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* CVPR2022 
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Location-Free Camouflage Generation Network


Mar 18, 2022
Yangyang Li, Wei Zhai, Yang Cao, Zheng-jun Zha

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Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning


Mar 16, 2022
Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo, Zheng-Jun Zha

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* Camera_Ready Version for CVPR 2022 
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Phrase-Based Affordance Detection via Cyclic Bilateral Interaction


Feb 25, 2022
Liangsheng Lu, Wei Zhai, Hongchen Luo, Yu Kang, Yang Cao

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OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment


Feb 16, 2022
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa


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Optimizing Random Mixup with Gaussian Differential Privacy


Feb 14, 2022
Donghao Li, Yang Cao, Yuan Yao

* 28 pages, 9 figures 
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Self-Paced Imbalance Rectification for Class Incremental Learning


Feb 08, 2022
Zhiheng Liu, Kai Zhu, Yang Cao


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Background Activation Suppression for Weakly Supervised Object Localization


Dec 01, 2021
Pingyu Wu, Wei Zhai, Yang Cao

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* Technical report, Code: https://github.com/wpy1999/BAS 
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Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization


Sep 29, 2021
Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang

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Learning Visual Affordance Grounding from Demonstration Videos


Aug 12, 2021
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao

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One-Shot Object Affordance Detection in the Wild


Aug 08, 2021
Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, Dacheng Tao

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Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers


Aug 05, 2021
Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao

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* Accepted by ACM MM2021. Source code is available at: https://github.com/encounter1997/SFA. Update acknowledgment 
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Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning


Jul 19, 2021
Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha

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* Accepted by CVPR 2021 
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One-Shot Affordance Detection


Jun 28, 2021
Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao

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Understanding the Interplay between Privacy and Robustness in Federated Learning


Jun 13, 2021
Yaowei Han, Yang Cao, Masatoshi Yoshikawa

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Incentive Mechanism for Privacy-Preserving Federated Learning


Jun 08, 2021
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa

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FakeMix Augmentation Improves Transparent Object Detection


Mar 24, 2021
Yang Cao, Zhengqiang Zhang, Enze Xie, Qibin Hou, Kai Zhao, Xiangui Luo, Jian Tuo

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FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation


Mar 01, 2021
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie

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Transparent Contribution Evaluation for Secure Federated Learning on Blockchain


Jan 26, 2021
Shuaicheng Ma, Yang Cao, Li Xiong

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FLAME: Differentially Private Federated Learning in the Shuffle Model


Sep 17, 2020
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

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* 8 pages 
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Nighttime Dehazing with a Synthetic Benchmark


Sep 09, 2020
Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao

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* ACM MM 2020. Both the dataset and source code will be available at \url{https://github.com/chaimi2013/3R} 
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