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Model-Agnostic Multitask Fine-tuning for Few-shot Vision-Language Transfer Learning

Mar 09, 2022
Zhenhailong Wang, Hang Yu, Manling Li, Han Zhao, Heng Ji

* 7 pages, 6 figures, under review 

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Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

Oct 25, 2021
Weiqiang Jin, Hang Yu, Xi Tao, Ruiping Yin

* 10 pages, 5 figures; 36 references; This work was carried out during the first author's master time at Shanghai University. This work is also partially supported by an anonymous Natural Research Foundation. We would like to thank Hang Yu for providing helpful discussions and valuable recommendations 

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CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector

Oct 24, 2021
Weiqiang Jin, Hang Yu, Hang Yu

* 9 pages;5 figures; conference: IEEE ICTAI; Acknowledgment: The research reported in this paper was supported in part by the National Natural Science Foundation of China under the grant 91746203 and the Outstanding Academic Leader Project of Shanghai under the grant No.20XD1401700 

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AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Aug 28, 2021
Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, Dacheng Tao

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BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening

May 13, 2021
Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo

* 19 pages, 7 figures, 6 tables 

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Automatic Learning to Detect Concept Drift

May 04, 2021
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang

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Elastic Net based Feature Ranking and Selection

Dec 30, 2020
Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi

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Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models

Sep 16, 2020
Hang Yu, Justin Dauwels

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Patch Attack for Automatic Check-out

May 19, 2020
Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu

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Training Robust Deep Neural Networks via Adversarial Noise Propagation

Sep 19, 2019
Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He

* 14 pages 

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Towards Noise-Robust Neural Networks via Progressive Adversarial Training

Sep 17, 2019
Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang

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Interpreting and Improving Adversarial Robustness with Neuron Sensitivity

Sep 16, 2019
Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li

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Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields

Jul 27, 2019
Satyajit Neogi, Michael Hoy, Kang Dang, Hang Yu, Justin Dauwels

* Submitted to IEEE Transactions on Intelligent Transportation Systems 

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